Harmonizome 3.0

From Allen Brain Atlas

mRNA expression profiles for 6 adult human brain tissue samples spanning ~300 brain structures

From Allen Brain Atlas

mRNA expression profiles for adult mouse brain tissues spanning ~2000 anatomically defined brain structures

From Allen Brain Atlas

mRNA expression profiles for human brain tissue samples spanning 27 time points and 26 brain structures

From Allen Brain Atlas

mRNA expression profiles for human brain tissue samples spanning 31 time points and 26 brain structures

From Allen Brain Atlas

mRNA expression profiles for 4 human prenatal brain tissue samples spanning 4 time points and ~300 brain structures

From BioGPS

mRNA expression profiles for human tissues and cell types

From BioGPS

mRNA expression profiles for mouse tissues and cell types

From Genotype Tissue Expression

Gene expression profiles for tissues from GTEx by RNA-seq

From Genotype Tissue Expression

RNA-seq gene expression profiles for tissue samples from GTEx

From Human Protein Atlas

RNA-seq gene expression profiles for tissues from HPA

From Human Protein Atlas

Semiquantitative protein expression profiles for tissues

From Human Protein Atlas

RNA-seq gene expression profiles for tissue samples from HPA

From Human Proteome Map

Protein expression profiles for tissues and cell types

From Proteomics Database

Protein expression profiles for tissues and cell types reprocessed from many proteomics datasets

From Roadmap Epigenomics

DNA methylation profiles for primary cell types and tissues

From Roadmap Epigenomics

mRNA expression profiles for primary cell types and tissues

From TISSUES

Protein tissue expression evidence scores by manual literature curation

From TISSUES

Protein tissue expression evidence scores by integrating experimental data

From TISSUES

Gene-tissue co-occurrence scores from text-mining biomedical abstracts

From Genotype Tissue Expression

Gene expression profiles for tissues from GTEx by RNA-seq

From Genotype Tissue Expression

Tissue-specific aging signatures createed from GTEx RNA-seq gene expression profiles

From TISSUES

Protein tissue expression evidence scores by manual literature curation

From TISSUES

Protein tissue expression evidence scores by integrating experimental data

From TISSUES

Gene-tissue co-occurrence scores from text-mining biomedical abstracts

From Allen Brain Atlas

mRNA expression profiles for dementia and traumatic brain injuries (TBI) from aging brain tissue

From Genotype Tissue Expression

Significance values for all gene-SNP pairs testing likelihood that SNP affects gene expression

From Genotype Tissue Expression

Significance values for all gene-SNP pairs testing likelihood that SNP affects gene expression

connective tissue growth factor

The protein encoded by this gene is a mitogen that is secreted by vascular endothelial cells. The encoded protein plays a role in chondrocyte proliferation and differentiation, cell adhesion in many cell types, and is related to platelet-derived growth factor. Certain polymorphisms in this gene have been linked with a higher incidence of systemic sclerosis. [provided by RefSeq, Nov 2009]

BST2 interferon stimulated positive regulator (non-protein coding)

thymocyte expressed, positive selection associated 1

Predicted to enable phospholipase binding activity and signaling receptor binding activity. Predicted to be involved in COP9 signalosome assembly; positive regulation of T cell differentiation in thymus; and positive regulation of T cell receptor signaling pathway. Predicted to act upstream of or within TCR signalosome assembly. Located in cytosol. Part of COP9 signalosome. [provided by Alliance of Genome Resources, Mar 2025]

gastric adenocarcinoma associated, positive CD44 regulator, long intergenic non-coding RNA

muscular dystrophy, congenital, merosin-positive

growth regulation by estrogen in breast cancer-like

Acts upstream of or within kidney development. Predicted to be located in membrane. Implicated in autosomal dominant nonsyndromic deafness 80 and renal agenesis. [provided by Alliance of Genome Resources, Mar 2025]

regulation of nuclear pre-mRNA domain containing 1A

This gene encodes a cell-cycle and transcription regulatory protein. The encoded protein interacts with the cell cycle inhibitor cyclin-dependent kinase 4 inhibitor B and may function as a negative regulator of G(1)/S phase progression. This protein also forms homo- and hetrodimers with the protein, regulation of nuclear pre-mRNA domain-containing protein 1B, to form a scaffold that interacts with the C-terminal domain of RNA polymerase II subunit B1 and regulates several aspects of transcription. Alternate splicing results in multiple transcript variants. A pseudogene of this gene is found on chromosome 16. [provided by RefSeq, Dec 2014]

regulation of nuclear pre-mRNA domain containing 1B

Enables RNA polymerase II complex binding activity and identical protein binding activity. Involved in several processes, including RNA polymerase II promoter clearance; positive regulation of cell population proliferation; and positive regulation of transcription by RNA polymerase II. Located in nucleoplasm. Part of transcription preinitiation complex. [provided by Alliance of Genome Resources, Mar 2025]

regulation of nuclear pre-mRNA domain containing 2

Predicted to enable RNA polymerase II complex binding activity. Predicted to be involved in mRNA 3'-end processing. Part of transcription preinitiation complex. [provided by Alliance of Genome Resources, Mar 2025]

growth regulation by estrogen in breast cancer 1

This gene is an estrogen-responsive gene that is an early response gene in the estrogen receptor-regulated pathway. It is thought to play an important role in hormone-responsive tissues and cancer. Three alternatively spliced transcript variants encoding distinct isoforms have been found for this gene. [provided by RefSeq, Jul 2008]

regulation of nuclear pre-mRNA domain containing 1A pseudogene

plaque enriched lncRNA in atherosclerotic and inflammatory bowel macrophage regulation

p53 regulation associated lncRNA

fucosidase, alpha-L- 1, tissue pseudogene 1

plasminogen activator, tissue

This gene encodes tissue-type plasminogen activator, a secreted serine protease that converts the proenzyme plasminogen to plasmin, a fibrinolytic enzyme. The encoded preproprotein is proteolytically processed by plasmin or trypsin to generate heavy and light chains. These chains associate via disulfide linkages to form the heterodimeric enzyme. This enzyme plays a role in cell migration and tissue remodeling. Increased enzymatic activity causes hyperfibrinolysis, which manifests as excessive bleeding, while decreased activity leads to hypofibrinolysis, which can result in thrombosis or embolism. Alternative splicing of this gene results in multiple transcript variants, at least one of which encodes an isoform that is proteolytically processed. [provided by RefSeq, Jan 2016]

coagulation factor III (thromboplastin, tissue factor) pseudogene

carboxypeptidase B1 (tissue)

Three different procarboxypeptidases A and two different procarboxypeptidases B have been isolated. The B1 and B2 forms differ from each other mainly in isoelectric point. Carboxypeptidase B1 is a highly tissue-specific protein and is a useful serum marker for acute pancreatitis and dysfunction of pancreatic transplants. It is not elevated in pancreatic carcinoma. [provided by RefSeq, Jul 2008]

tissue factor pathway inhibitor 2

This gene encodes a member of the Kunitz-type serine proteinase inhibitor family. The protein can inhibit a variety of serine proteases including factor VIIa/tissue factor, factor Xa, plasmin, trypsin, chymotryspin and plasma kallikrein. This gene has been identified as a tumor suppressor gene in several types of cancer. Alternative splicing results in multiple transcript variants. [provided by RefSeq, Aug 2012]

tissue differentiation-inducing non-protein coding RNA

This gene produces a spliced long non-coding RNA that binds RNAs. This transcript interacts with staufen-1 protein to regulate the stability of mRNAs for genes involved in the differentiation of epidermal tissue. Variation in this gene may be associated with cancer progression. [provided by RefSeq, Aug 2017]

fucosidase, alpha-L- 1, tissue

The protein encoded by this gene is a lysosomal enzyme involved in the degradation of fucose-containing glycoproteins and glycolipids. Mutations in this gene are associated with fucosidosis (FUCA1D), which is an autosomal recessive lysosomal storage disease. A pseudogene of this locus is present on chr 2.[provided by RefSeq, Oct 2009]

tissue factor pathway inhibitor (lipoprotein-associated coagulation inhibitor)

This gene encodes a Kunitz-type serine protease inhibitor that regulates the tissue factor (TF)-dependent pathway of blood coagulation. The coagulation process initiates with the formation of a factor VIIa-TF complex, which proteolytically activates additional proteases (factors IX and X) and ultimately leads to the formation of a fibrin clot. The product of this gene inhibits the activated factor X and VIIa-TF proteases in an autoregulatory loop. Inhibition of the encoded protein restores hemostasis in animal models of hemophilia. This gene encodes multiple protein isoforms that differ in their inhibitory activity, specificity and cellular localization. [provided by RefSeq, Jul 2016]

tissue specific transplantation antigen P35B

Tissue specific transplantation antigen P35B is a NADP(H)-binding protein. It catalyze the two-step epimerase and the reductase reactions in GDP-D-mannose metabolism, converting GDP-4-keto-6-D-deoxymannose to GDP-L-fucose. GDP-L-fucose is the substrate of several fucosyltransferases involved in the expression of many glycoconjugates, including blood group ABH antigens and developmental adhesion antigens. Mutations in this gene may cause leukocyte adhesion deficiency, type II. [provided by RefSeq, Jul 2008]

coagulation factor III (thromboplastin, tissue factor)

This gene encodes coagulation factor III which is a cell surface glycoprotein. This factor enables cells to initiate the blood coagulation cascades, and it functions as the high-affinity receptor for the coagulation factor VII. The resulting complex provides a catalytic event that is responsible for initiation of the coagulation protease cascades by specific limited proteolysis. Unlike the other cofactors of these protease cascades, which circulate as nonfunctional precursors, this factor is a potent initiator that is fully functional when expressed on cell surfaces, for example, on monocytes. There are 3 distinct domains of this factor: extracellular, transmembrane, and cytoplasmic. Platelets and monocytes have been shown to express this coagulation factor under procoagulatory and proinflammatory stimuli, and a major role in HIV-associated coagulopathy has been described. Platelet-dependent monocyte expression of coagulation factor III has been described to be associated with Coronavirus Disease 2019 (COVID-19) severity and mortality. This protein is the only one in the coagulation pathway for which a congenital deficiency has not been described. Alternate splicing results in multiple transcript variants.[provided by RefSeq, Aug 2020]

From GO Biological Process Annotations 2023

genes participating in the positive regulation of connective tissue replacement biological process from the curated GO Biological Process Annotations 2023 dataset.

From GO Biological Process Annotations 2025

genes participating in the positive regulation of connective tissue replacement biological process from the curated GO Biological Process Annotations 2025 dataset.

From GO Biological Process Annotations 2023

genes participating in the negative regulation of connective tissue replacement involved in inflammatory response wound healing biological process from the curated GO Biological Process Annotations 2023 dataset.

From GO Biological Process Annotations 2023

genes participating in the regulation of connective tissue replacement biological process from the curated GO Biological Process Annotations 2023 dataset.

From GO Biological Process Annotations 2023

genes participating in the regulation of connective tissue replacement involved in inflammatory response wound healing biological process from the curated GO Biological Process Annotations 2023 dataset.

From GO Biological Process Annotations 2023

genes participating in the negative regulation of connective tissue replacement biological process from the curated GO Biological Process Annotations 2023 dataset.

From GO Biological Process Annotations 2025

genes participating in the negative regulation of connective tissue replacement involved in inflammatory response wound healing biological process from the curated GO Biological Process Annotations 2025 dataset.

From GO Biological Process Annotations 2025

genes participating in the regulation of connective tissue replacement biological process from the curated GO Biological Process Annotations 2025 dataset.

From GO Biological Process Annotations 2025

genes participating in the regulation of connective tissue replacement involved in inflammatory response wound healing biological process from the curated GO Biological Process Annotations 2025 dataset.

From GO Biological Process Annotations 2025

genes participating in the negative regulation of connective tissue replacement biological process from the curated GO Biological Process Annotations 2025 dataset.

From GO Biological Process Annotations 2015

genes participating in the connective tissue replacement involved in inflammatory response wound healing biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2023

genes participating in the connective tissue replacement involved in inflammatory response wound healing biological process from the curated GO Biological Process Annotations 2023 dataset.

From GO Biological Process Annotations 2025

genes participating in the connective tissue replacement involved in inflammatory response wound healing biological process from the curated GO Biological Process Annotations 2025 dataset.

From GO Biological Process Annotations 2015

genes participating in the positive regulation of connective tissue growth factor production biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2023

genes participating in the positive regulation of connective tissue growth factor production biological process from the curated GO Biological Process Annotations 2023 dataset.

From GO Biological Process Annotations 2025

genes participating in the positive regulation of connective tissue growth factor production biological process from the curated GO Biological Process Annotations 2025 dataset.

From GO Biological Process Annotations 2015

genes participating in the regulation of connective tissue growth factor production biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2023

genes participating in the negative regulation of connective tissue growth factor production biological process from the curated GO Biological Process Annotations 2023 dataset.

From GO Biological Process Annotations 2023

genes participating in the regulation of connective tissue growth factor production biological process from the curated GO Biological Process Annotations 2023 dataset.

From GO Biological Process Annotations 2025

genes participating in the negative regulation of connective tissue growth factor production biological process from the curated GO Biological Process Annotations 2025 dataset.

From GO Biological Process Annotations 2025

genes participating in the regulation of connective tissue growth factor production biological process from the curated GO Biological Process Annotations 2025 dataset.

From CTD Gene-Chemical Interactions

genes/proteins interacting with the chemical connective tissue-activating peptide from the curated CTD Gene-Chemical Interactions dataset.

From CTD Gene-Disease Associations

genes/proteins associated with the disease Connective Tissue Diseases from the curated CTD Gene-Disease Associations dataset.

From DISEASES Curated Gene-Disease Association Evidence Scores

genes involed in the disease connective tissue disease from the DISEASES Curated Gene-Disease Assocation Evidence Scores dataset.

From DISEASES Curated Gene-Disease Association Evidence Scores

genes involed in the disease connective tissue cancer from the DISEASES Curated Gene-Disease Assocation Evidence Scores dataset.

From DISEASES Experimental Gene-Disease Association Evidence Scores

genes associated with the disease connective tissue disease in GWAS datasets from the DISEASES Experimental Gene-Disease Assocation Evidence Scores dataset.

From DISEASES Experimental Gene-Disease Association Evidence Scores

genes associated with the disease connective tissue cancer in GWAS datasets from the DISEASES Experimental Gene-Disease Assocation Evidence Scores dataset.

From DISEASES Text-mining Gene-Disease Association Evidence Scores

genes co-occuring with the disease connective tissue cancer in abstracts of biomedical publications from the DISEASES Text-mining Gene-Disease Assocation Evidence Scores dataset.

From DISEASES Text-mining Gene-Disease Association Evidence Scores

genes co-occuring with the disease mixed connective tissue disease in abstracts of biomedical publications from the DISEASES Text-mining Gene-Disease Assocation Evidence Scores dataset.

From DISEASES Text-mining Gene-Disease Association Evidence Scores

genes co-occuring with the disease autoimmune disease of skin and connective tissue in abstracts of biomedical publications from the DISEASES Text-mining Gene-Disease Assocation Evidence Scores dataset.

From DISEASES Text-mining Gene-Disease Association Evidence Scores

genes co-occuring with the disease connective tissue benign neoplasm in abstracts of biomedical publications from the DISEASES Text-mining Gene-Disease Assocation Evidence Scores dataset.

From DISEASES Text-mining Gene-Disease Association Evidence Scores

genes co-occuring with the disease connective tissue disease in abstracts of biomedical publications from the DISEASES Text-mining Gene-Disease Assocation Evidence Scores dataset.

From GAD Gene-Disease Associations

genes associated with the disease connective tissue diseases; hypertension, pulmonary in GWAS and other genetic association datasets from the GAD Gene-Disease Associations dataset.

From GAD Gene-Disease Associations

genes associated with the disease connective tissue dysplasias in GWAS and other genetic association datasets from the GAD Gene-Disease Associations dataset.

From GAD Gene-Disease Associations

genes associated with the disease granuloma; mixed connective tissue disease; sarcoidosis in GWAS and other genetic association datasets from the GAD Gene-Disease Associations dataset.

From GAD Gene-Disease Associations

genes associated with the disease connective tissue diseases; ectopia lentis; marfan syndrome in GWAS and other genetic association datasets from the GAD Gene-Disease Associations dataset.

From GAD Gene-Disease Associations

genes associated with the disease connective tissue diseases; fetal diseases; inflammation; musculoskeletal diseases; pregnancy complications, hematologic; premature birth; skin diseases in GWAS and other genetic association datasets from the GAD Gene-Disease Associations dataset.

From GAD Gene-Disease Associations

genes associated with the disease autoimmune diseases; mixed connective tissue disease in GWAS and other genetic association datasets from the GAD Gene-Disease Associations dataset.

From GO Biological Process Annotations 2015

genes participating in the connective tissue development biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2015

genes participating in the connective tissue growth factor biosynthetic process biological process from the curated GO Biological Process Annotations 2015 dataset.

From GWASdb SNP-Disease Associations

genes associated with the disease connective tissue cancer in GWAS and other genetic association datasets from the GWASdb SNP-Disease Associations dataset.

From GWASdb SNP-Disease Associations

genes associated with the disease connective tissue disease in GWAS and other genetic association datasets from the GWASdb SNP-Disease Associations dataset.

From GWASdb SNP-Phenotype Associations

genes associated with the abnormality of connective tissue phenotype in GWAS datasets from the GWASdb SNP-Phenotype Associations dataset.

From HPO Gene-Disease Associations

genes associated with the abnormality of connective tissue phenotype by mapping known disease genes to disease phenotypes from the HPO Gene-Disease Associations dataset.

From HPO Gene-Disease Associations

genes associated with the connective tissue nevi phenotype by mapping known disease genes to disease phenotypes from the HPO Gene-Disease Associations dataset.

From HPO Gene-Disease Associations

genes associated with the increased connective tissue phenotype by mapping known disease genes to disease phenotypes from the HPO Gene-Disease Associations dataset.

From HuGE Navigator Gene-Phenotype Associations

genes associated with the Mixed Connective Tissue Disease phenotype by text-mining GWAS publications from the HuGE Navigator Gene-Phenotype Associations dataset.

From HuGE Navigator Gene-Phenotype Associations

genes associated with the Connective Tissue Diseases phenotype by text-mining GWAS publications from the HuGE Navigator Gene-Phenotype Associations dataset.

From MPO Gene-Phenotype Associations

gene mutations causing the abnormal mammary gland connective tissue morphology phenotype in transgenic mice from the MPO Gene-Phenotype Associations dataset.

From TISSUES Curated Tissue Protein Expression Evidence Scores

proteins highly expressed in the tissue connective tissue from the TISSUES Curated Tissue Protein Expression Evidence Scores dataset.

From TISSUES Experimental Tissue Protein Expression Evidence Scores

proteins highly expressed in the tissue connective tissue in proteomics datasets from the TISSUES Experimental Tissue Protein Expression Evidence Scores dataset.

From TISSUES Text-mining Tissue Protein Expression Evidence Scores

proteins co-occuring with the tissue supportive connective tissue in abstracts of biomedical publications from the TISSUES Text-mining Tissue Protein Expression Evidence Scores dataset.

From TISSUES Text-mining Tissue Protein Expression Evidence Scores

proteins co-occuring with the tissue connective tissue in abstracts of biomedical publications from the TISSUES Text-mining Tissue Protein Expression Evidence Scores dataset.

From Tabula Sapiens Gene-Cell Associations

genes with high or low expression in Trachea-connective tissue cell relative to other cell types from the Tabula Sapiens Gene-Cell Associations dataset.

From DisGeNET Gene-Disease Associations

genes associated with the disease Overlap Connective Tissue Disease in GWAS and other genetic association datasets from the DisGeNET Gene-Disease Associations dataset.

From DisGeNET Gene-Disease Associations

genes associated with the disease Connective Tissue Nevus, Nos in GWAS and other genetic association datasets from the DisGeNET Gene-Disease Associations dataset.

From DisGeNET Gene-Disease Associations

genes associated with the disease Increased Endomysial Connective Tissue in GWAS and other genetic association datasets from the DisGeNET Gene-Disease Associations dataset.

From DisGeNET Gene-Disease Associations

genes associated with the disease Mixed Connective Tissue Disease in GWAS and other genetic association datasets from the DisGeNET Gene-Disease Associations dataset.

From DisGeNET Gene-Disease Associations

genes associated with the disease Abnormality Of Connective Tissue in GWAS and other genetic association datasets from the DisGeNET Gene-Disease Associations dataset.

From DisGeNET Gene-Disease Associations

genes associated with the disease Connective Tissue Inflammation in GWAS and other genetic association datasets from the DisGeNET Gene-Disease Associations dataset.

From DisGeNET Gene-Disease Associations

genes associated with the disease Connective Tissue Hyperplasia in GWAS and other genetic association datasets from the DisGeNET Gene-Disease Associations dataset.

From DisGeNET Gene-Disease Associations

genes associated with the disease Autoimmune Connective Tissue Disorder in GWAS and other genetic association datasets from the DisGeNET Gene-Disease Associations dataset.

From DisGeNET Gene-Disease Associations

genes associated with the disease Connective Tissue Disease in GWAS and other genetic association datasets from the DisGeNET Gene-Disease Associations dataset.

From DisGeNET Gene-Phenotype Associations

genes associated with the phenotype Increased Connective Tissue in GWAS and other genetic association datasets from the DisGeNET Gene-Phenotype Associations dataset.

From GO Biological Process Annotations 2023

genes participating in the connective tissue development biological process from the curated GO Biological Process Annotations 2023 dataset.

From MGI Mouse Phenotype Associations 2023

gene mutations causing the abnormal mammary gland connective tissue morphology phenotype in transgenic mice from the MGI Mouse Phenotype Associations 2023 dataset.

From CellMarker Gene-Cell Type Associations

genes associated with the Connective tissue progenitor cell_Embryo_Mouse cell type from the CellMarker Gene-Cell Type Associations dataset.

From GO Biological Process Annotations 2025

genes participating in the connective tissue development biological process from the curated GO Biological Process Annotations 2025 dataset.

From DISEASES Curated Gene-Disease Association Evidence Scores 2025

genes involed in the disease Connective tissue disease from the DISEASES Curated Gene-Disease Association Evidence Scores 2025 dataset.

From DISEASES Curated Gene-Disease Association Evidence Scores 2025

genes involed in the disease Connective tissue benign neoplasm from the DISEASES Curated Gene-Disease Association Evidence Scores 2025 dataset.

From DISEASES Curated Gene-Disease Association Evidence Scores 2025

genes involed in the disease Connective tissue cancer from the DISEASES Curated Gene-Disease Association Evidence Scores 2025 dataset.

From DISEASES Curated Gene-Disease Association Evidence Scores 2025

genes involed in the disease Autoimmune disease of skin and connective tissue from the DISEASES Curated Gene-Disease Association Evidence Scores 2025 dataset.

From DISEASES Experimental Gene-Disease Association Evidence Scores 2025

genes associated with the disease Connective tissue disease in GWAS datasets from the DISEASES Experimental Gene-Disease Assocation Evidence Scores 2025 dataset.

From DISEASES Experimental Gene-Disease Association Evidence Scores 2025

genes associated with the disease Autoimmune disease of skin and connective tissue in GWAS datasets from the DISEASES Experimental Gene-Disease Assocation Evidence Scores 2025 dataset.

From DISEASES Experimental Gene-Disease Association Evidence Scores 2025

genes associated with the disease Connective tissue cancer in GWAS datasets from the DISEASES Experimental Gene-Disease Assocation Evidence Scores 2025 dataset.

From DISEASES Text-mining Gene-Disease Association Evidence Scores 2025

genes co-occuring with the disease Connective tissue disease in abstracts of biomedical publications from the DISEASES Text-mining Gene-Disease Assocation Evidence Scores 2025 dataset.

From DISEASES Text-mining Gene-Disease Association Evidence Scores 2025

genes co-occuring with the disease Connective tissue cancer in abstracts of biomedical publications from the DISEASES Text-mining Gene-Disease Assocation Evidence Scores 2025 dataset.

From DISEASES Text-mining Gene-Disease Association Evidence Scores 2025

genes co-occuring with the disease Autoimmune disease of skin and connective tissue in abstracts of biomedical publications from the DISEASES Text-mining Gene-Disease Assocation Evidence Scores 2025 dataset.

From DISEASES Text-mining Gene-Disease Association Evidence Scores 2025

genes co-occuring with the disease Connective tissue benign neoplasm in abstracts of biomedical publications from the DISEASES Text-mining Gene-Disease Assocation Evidence Scores 2025 dataset.

From DISEASES Text-mining Gene-Disease Association Evidence Scores 2025

genes co-occuring with the disease Mixed connective tissue disease in abstracts of biomedical publications from the DISEASES Text-mining Gene-Disease Assocation Evidence Scores 2025 dataset.

From TISSUES Curated Tissue Protein Expression Evidence Scores 2025

proteins highly expressed in the tissue Connective tissue from the TISSUES Curated Tissue Protein Expression Evidence Scores 2025 dataset.

From TISSUES Experimental Tissue Protein Expression Evidence Scores 2025

proteins highly expressed in the tissue Connective tissue in proteomics datasets from the TISSUES Experimental Tissue Protein Expression Evidence Scores 2025 dataset.

From TISSUES Text-mining Tissue Protein Expression Evidence Scores 2025

proteins co-occuring with the tissue Connective tissue in abstracts of biomedical publications from the TISSUES Text-mining Tissue Protein Expression Evidence Scores 2025 dataset.

From TISSUES Text-mining Tissue Protein Expression Evidence Scores 2025

proteins co-occuring with the tissue Supportive connective tissue in abstracts of biomedical publications from the TISSUES Text-mining Tissue Protein Expression Evidence Scores 2025 dataset.

From ClinVar Gene-Phenotype Associations 2025

genes associated with the Connective tissue disorder phenotype from the curated ClinVar Gene-Phenotype Associations 2025 dataset.

From ClinVar Gene-Phenotype Associations 2025

genes associated with the Abnormality of connective tissue phenotype from the curated ClinVar Gene-Phenotype Associations 2025 dataset.

From ClinVar Gene-Phenotype Associations 2025

genes associated with the Connective and Soft Tissue Disorder phenotype from the curated ClinVar Gene-Phenotype Associations 2025 dataset.

From ClinVar Gene-Phenotype Associations 2025

genes associated with the Connective tissue dysplasia phenotype from the curated ClinVar Gene-Phenotype Associations 2025 dataset.

From ClinVar Gene-Phenotype Associations 2025

genes associated with the IPO8 related Connective tissue disorder phenotype from the curated ClinVar Gene-Phenotype Associations 2025 dataset.

From ClinVar Gene-Phenotype Associations 2025

genes associated with the EMILIN-1-related connective tissue disease phenotype from the curated ClinVar Gene-Phenotype Associations 2025 dataset.

From GAD Gene-Disease Associations

genes associated with the disease hormone replacement therapy in GWAS and other genetic association datasets from the GAD Gene-Disease Associations dataset.

From GeneRIF Biological Term Annotations

genes co-occuring with the biological term replacement in literature-supported statements describing functions of genes from the GeneRIF Biological Term Annotations dataset.

From GO Biological Process Annotations 2015

genes participating in the replacement ossification biological process from the curated GO Biological Process Annotations 2015 dataset.

From HPO Gene-Disease Associations

genes associated with the fatty replacement of skeletal muscle phenotype by mapping known disease genes to disease phenotypes from the HPO Gene-Disease Associations dataset.

From OMIM Gene-Disease Associations

genes associated with the {hdl response to hormone replacement, augmented} phenotype from the curated OMIM Gene-Disease Associations dataset.

From Reactome Pathways 2014

proteins participating in the Base-free sugar-phosphate removal via the single-nucleotide replacement pathway pathway from the Reactome Pathways dataset.

From Reactome Pathways 2014

proteins participating in the Resolution of AP sites via the single-nucleotide replacement pathway pathway from the Reactome Pathways dataset.

From Reactome Pathways 2014

proteins participating in the Resolution of AP sites via the multiple-nucleotide patch replacement pathway pathway from the Reactome Pathways dataset.

From DisGeNET Gene-Disease Associations

genes associated with the disease Kidney Replacement Disorder in GWAS and other genetic association datasets from the DisGeNET Gene-Disease Associations dataset.

From DisGeNET Gene-Phenotype Associations

genes associated with the phenotype Fatty Replacement Of Skeletal Muscle in GWAS and other genetic association datasets from the DisGeNET Gene-Phenotype Associations dataset.

From Reactome Pathways 2024

proteins participating in the APEX1-Independent Resolution of AP Sites via the Single Nucleotide Replacement Pathway pathway from the Reactome Pathways 2024 dataset.

From Reactome Pathways 2024

proteins participating in the Abasic sugar-phosphate removal via the single-nucleotide replacement pathway pathway from the Reactome Pathways 2024 dataset.

From Reactome Pathways 2024

proteins participating in the Replacement of protamines by nucleosomes in the male pronucleus pathway from the Reactome Pathways 2024 dataset.

From Reactome Pathways 2024

proteins participating in the Resolution of AP sites via the multiple-nucleotide patch replacement pathway pathway from the Reactome Pathways 2024 dataset.

From Reactome Pathways 2024

proteins participating in the Resolution of AP sites via the single-nucleotide replacement pathway pathway from the Reactome Pathways 2024 dataset.

From GWAS Catalog SNP-Phenotype Associations 2025

genes associated with the Osteoarthritis (with total hip replacement) phenotype in GWAS datasets from the GWAS Catalog SNP-Phenotype Associations 2025 dataset.

From GWAS Catalog SNP-Phenotype Associations 2025

genes associated with the Osteoarthritis of the hip or knee (with total joint replacement) phenotype in GWAS datasets from the GWAS Catalog SNP-Phenotype Associations 2025 dataset.

From GWAS Catalog SNP-Phenotype Associations 2025

genes associated with the Possible neuropathic pain in post total joint replacement surgery for osteoarthritis phenotype in GWAS datasets from the GWAS Catalog SNP-Phenotype Associations 2025 dataset.

From CTD Gene-Disease Associations

genes/proteins associated with the disease THROMBOPHILIA, FAMILIAL, DUE TO DECREASED RELEASE OF TISSUE PLASMINOGEN ACTIVATOR;THPH9 HYPERFIBRINOLYSIS, FAMILIAL, DUE TO INCREASED RELEASE OF TISSUE PLASMINOGEN from the curated CTD Gene-Disease Associations dataset.

From GWAS Catalog SNP-Phenotype Associations

genes associated with the Visceral adipose tissue/subcutaneous adipose tissue ratio phenotype in GWAS datasets from the GWAS Catalog SNP-Phenotype Associations dataset.

From GWAS Catalog SNP-Phenotype Associations 2025

genes associated with the Visceral adipose tissue/subcutaneous adipose tissue ratio phenotype in GWAS datasets from the GWAS Catalog SNP-Phenotype Associations 2025 dataset.

From GWAS Catalog SNP-Phenotype Associations 2025

genes associated with the Visceral adipose tissue/subcutaneous adipose tissue ratio adjusted for BMI phenotype in GWAS datasets from the GWAS Catalog SNP-Phenotype Associations 2025 dataset.

From GO Biological Process Annotations 2015

genes participating in the positive regulation of cardiac muscle tissue development biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2015

genes participating in the positive regulation of skeletal muscle tissue growth biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2015

genes participating in the positive regulation of cardiac muscle tissue growth biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2015

genes participating in the positive regulation of muscle tissue development biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2015

genes participating in the positive regulation of skeletal muscle tissue regeneration biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2015

genes participating in the positive regulation of immunoglobulin production in mucosal tissue biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2015

genes participating in the positive regulation of biomineral tissue development biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2015

genes participating in the positive regulation of tissue remodeling biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2015

genes participating in the positive regulation of skeletal muscle tissue development biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2015

genes participating in the positive regulation of striated muscle tissue development biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2023

genes participating in the positive regulation of skeletal muscle tissue growth biological process from the curated GO Biological Process Annotations 2023 dataset.

From GO Biological Process Annotations 2023

genes participating in the positive regulation of skeletal muscle tissue development biological process from the curated GO Biological Process Annotations 2023 dataset.

From GO Biological Process Annotations 2023

genes participating in the positive regulation of adipose tissue development biological process from the curated GO Biological Process Annotations 2023 dataset.

From GO Biological Process Annotations 2023

genes participating in the positive regulation of biomineral tissue development biological process from the curated GO Biological Process Annotations 2023 dataset.

From GO Biological Process Annotations 2023

genes participating in the positive regulation of tissue remodeling biological process from the curated GO Biological Process Annotations 2023 dataset.

From GO Biological Process Annotations 2023

genes participating in the positive regulation of immunoglobulin production in mucosal tissue biological process from the curated GO Biological Process Annotations 2023 dataset.

From GO Biological Process Annotations 2023

genes participating in the positive regulation of striated muscle tissue development biological process from the curated GO Biological Process Annotations 2023 dataset.

From GO Biological Process Annotations 2023

genes participating in the positive regulation of skeletal muscle tissue regeneration biological process from the curated GO Biological Process Annotations 2023 dataset.

From GO Biological Process Annotations 2023

genes participating in the positive regulation of muscle tissue development biological process from the curated GO Biological Process Annotations 2023 dataset.

From GO Biological Process Annotations 2023

genes participating in the positive regulation of cardiac muscle tissue growth biological process from the curated GO Biological Process Annotations 2023 dataset.

From GO Biological Process Annotations 2025

genes participating in the positive regulation of skeletal muscle tissue growth biological process from the curated GO Biological Process Annotations 2025 dataset.

From GO Biological Process Annotations 2025

genes participating in the positive regulation of skeletal muscle tissue development biological process from the curated GO Biological Process Annotations 2025 dataset.

From GO Biological Process Annotations 2025

genes participating in the positive regulation of adipose tissue development biological process from the curated GO Biological Process Annotations 2025 dataset.

From GO Biological Process Annotations 2025

genes participating in the positive regulation of biomineral tissue development biological process from the curated GO Biological Process Annotations 2025 dataset.

From GO Biological Process Annotations 2025

genes participating in the positive regulation of tissue remodeling biological process from the curated GO Biological Process Annotations 2025 dataset.

From GO Biological Process Annotations 2025

genes participating in the positive regulation of immunoglobulin production in mucosal tissue biological process from the curated GO Biological Process Annotations 2025 dataset.

From GO Biological Process Annotations 2025

genes participating in the positive regulation of striated muscle tissue development biological process from the curated GO Biological Process Annotations 2025 dataset.

From GO Biological Process Annotations 2025

genes participating in the positive regulation of skeletal muscle tissue regeneration biological process from the curated GO Biological Process Annotations 2025 dataset.

From GO Biological Process Annotations 2025

genes participating in the positive regulation of cardiac muscle tissue growth biological process from the curated GO Biological Process Annotations 2025 dataset.

From GO Biological Process Annotations 2025

genes participating in the positive regulation of muscle tissue development biological process from the curated GO Biological Process Annotations 2025 dataset.

From GO Biological Process Annotations 2015

genes participating in the positive regulation of cd4-positive, cd25-positive, alpha-beta regulatory t cell differentiation biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2023

genes participating in the positive regulation of CD4-positive, CD25-positive, alpha-beta regulatory T cell differentiation involved in immune response biological process from the curated GO Biological Process Annotations 2023 dataset.

From GO Biological Process Annotations 2023

genes participating in the positive regulation of CD4-positive, CD25-positive, alpha-beta regulatory T cell differentiation biological process from the curated GO Biological Process Annotations 2023 dataset.

From GO Biological Process Annotations 2025

genes participating in the positive regulation of CD4-positive, CD25-positive, alpha-beta regulatory T cell differentiation involved in immune response biological process from the curated GO Biological Process Annotations 2025 dataset.

From GO Biological Process Annotations 2025

genes participating in the positive regulation of CD4-positive, CD25-positive, alpha-beta regulatory T cell differentiation biological process from the curated GO Biological Process Annotations 2025 dataset.

From GeneRIF Biological Term Annotations

genes co-occuring with the biological term connective in literature-supported statements describing functions of genes from the GeneRIF Biological Term Annotations dataset.

From ChEA Transcription Factor Targets 2022

target genes of the IRF1-21803131-PRIMARYMONOCYTES-HUMAN-CONNECTIVE transcription factor in low- or high-throughput transcription factor functional studies from the CHEA Transcription Factor Targets 2022 dataset.

From GO Biological Process Annotations 2015

genes participating in the positive regulation of ryanodine-sensitive calcium-release channel activity by adrenergic receptor signaling pathway involved in positive regulation of cardiac muscle contraction biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2015

genes participating in the positive regulation of gluconeogenesis by positive regulation of transcription from rna polymerase ii promoter biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2015

genes participating in the positive regulation of fever generation by positive regulation of prostaglandin secretion biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2023

genes participating in the positive regulation of fever generation by positive regulation of prostaglandin secretion biological process from the curated GO Biological Process Annotations 2023 dataset.

From GO Biological Process Annotations 2023

genes participating in the positive regulation of pseudohyphal growth by positive regulation of transcription from RNA polymerase II promoter biological process from the curated GO Biological Process Annotations 2023 dataset.

From GO Biological Process Annotations 2025

genes participating in the positive regulation of fever generation by positive regulation of prostaglandin secretion biological process from the curated GO Biological Process Annotations 2025 dataset.

From MGI Mouse Phenotype Associations 2023

gene mutations causing the increased KLRG1-positive CD4-positive, CD25-positive, alpha-beta regulatory T cell number phenotype in transgenic mice from the MGI Mouse Phenotype Associations 2023 dataset.

From IMPC Knockout Mouse Phenotypes

gene knockouts causing the increased KLRG1-positive CD4-positive, CD25-positive, alpha-beta regulatory T cell number phenotype in mic from the IMPC Knockout Mouse Phenotypes dataset.

From GO Biological Process Annotations 2015

genes participating in the negative regulation of planar cell polarity pathway involved in cardiac muscle tissue morphogenesis biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2015

genes participating in the regulation of immunoglobulin production in mucosal tissue biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2015

genes participating in the regulation of planar cell polarity pathway involved in cardiac muscle tissue morphogenesis biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2015

genes participating in the negative regulation of biomineral tissue development biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2015

genes participating in the negative regulation of tissue remodeling biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2015

genes participating in the regulation of skeletal muscle tissue growth biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2015

genes participating in the regulation of cardiac muscle tissue development biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2015

genes participating in the regulation of striated muscle tissue development biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2015

genes participating in the negative regulation of cardiac muscle tissue development biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2015

genes participating in the negative regulation of skeletal muscle tissue growth biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2015

genes participating in the regulation of cell proliferation involved in tissue homeostasis biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2015

genes participating in the regulation of muscle tissue development biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2015

genes participating in the regulation of cardiac muscle tissue growth biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2015

genes participating in the negative regulation of cardiac muscle tissue growth biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2015

genes participating in the negative regulation of striated muscle tissue development biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2015

genes participating in the negative regulation of skeletal muscle tissue development biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2015

genes participating in the regulation of tissue remodeling biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2015

genes participating in the regulation of skeletal muscle tissue development biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2015

genes participating in the regulation of skeletal muscle tissue regeneration biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2015

genes participating in the regulation of biomineral tissue development biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2015

genes participating in the negative regulation of muscle tissue development biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2023

genes participating in the regulation of skeletal muscle tissue regeneration biological process from the curated GO Biological Process Annotations 2023 dataset.

From GO Biological Process Annotations 2023

genes participating in the regulation of skeletal muscle tissue growth biological process from the curated GO Biological Process Annotations 2023 dataset.

From GO Biological Process Annotations 2023

genes participating in the negative regulation of skeletal muscle tissue growth biological process from the curated GO Biological Process Annotations 2023 dataset.

From GO Biological Process Annotations 2023

genes participating in the negative regulation of striated muscle tissue development biological process from the curated GO Biological Process Annotations 2023 dataset.

From GO Biological Process Annotations 2023

genes participating in the negative regulation of biomineral tissue development biological process from the curated GO Biological Process Annotations 2023 dataset.

From GO Biological Process Annotations 2023

genes participating in the negative regulation of adipose tissue development biological process from the curated GO Biological Process Annotations 2023 dataset.

From GO Biological Process Annotations 2023

genes participating in the negative regulation of skeletal muscle tissue development biological process from the curated GO Biological Process Annotations 2023 dataset.

From GO Biological Process Annotations 2023

genes participating in the regulation of tissue remodeling biological process from the curated GO Biological Process Annotations 2023 dataset.

From GO Biological Process Annotations 2023

genes participating in the regulation of striated muscle tissue development biological process from the curated GO Biological Process Annotations 2023 dataset.

From GO Biological Process Annotations 2023

genes participating in the negative regulation of cardiac muscle tissue development biological process from the curated GO Biological Process Annotations 2023 dataset.

From GO Biological Process Annotations 2023

genes participating in the negative regulation of cardiac muscle tissue regeneration biological process from the curated GO Biological Process Annotations 2023 dataset.

From GO Biological Process Annotations 2023

genes participating in the regulation of cell proliferation involved in tissue homeostasis biological process from the curated GO Biological Process Annotations 2023 dataset.

From GO Biological Process Annotations 2023

genes participating in the regulation of adipose tissue development biological process from the curated GO Biological Process Annotations 2023 dataset.

From GO Biological Process Annotations 2023

genes participating in the regulation of skeletal muscle tissue development biological process from the curated GO Biological Process Annotations 2023 dataset.

From GO Biological Process Annotations 2023

genes participating in the negative regulation of skeletal muscle tissue regeneration biological process from the curated GO Biological Process Annotations 2023 dataset.

From GO Biological Process Annotations 2023

genes participating in the regulation of smooth muscle tissue development biological process from the curated GO Biological Process Annotations 2023 dataset.

From GO Biological Process Annotations 2023

genes participating in the negative regulation of cardiac muscle tissue growth biological process from the curated GO Biological Process Annotations 2023 dataset.

From GO Biological Process Annotations 2023

genes participating in the regulation of biomineral tissue development biological process from the curated GO Biological Process Annotations 2023 dataset.

From GO Biological Process Annotations 2023

genes participating in the negative regulation of muscle tissue development biological process from the curated GO Biological Process Annotations 2023 dataset.

From GO Biological Process Annotations 2023

genes participating in the negative regulation of tissue remodeling biological process from the curated GO Biological Process Annotations 2023 dataset.

From GO Biological Process Annotations 2023

genes participating in the regulation of muscle tissue development biological process from the curated GO Biological Process Annotations 2023 dataset.

From GO Biological Process Annotations 2023

genes participating in the regulation of cardiac muscle tissue development biological process from the curated GO Biological Process Annotations 2023 dataset.

From GO Biological Process Annotations 2023

genes participating in the regulation of cardiac muscle tissue growth biological process from the curated GO Biological Process Annotations 2023 dataset.

From GO Biological Process Annotations 2023

genes participating in the regulation of cardiac muscle tissue regeneration biological process from the curated GO Biological Process Annotations 2023 dataset.

From GO Biological Process Annotations 2023

genes participating in the regulation of immunoglobulin production in mucosal tissue biological process from the curated GO Biological Process Annotations 2023 dataset.

From GO Biological Process Annotations 2025

genes participating in the regulation of skeletal muscle tissue regeneration biological process from the curated GO Biological Process Annotations 2025 dataset.

From GO Biological Process Annotations 2025

genes participating in the regulation of skeletal muscle tissue growth biological process from the curated GO Biological Process Annotations 2025 dataset.

From GO Biological Process Annotations 2025

genes participating in the negative regulation of skeletal muscle tissue growth biological process from the curated GO Biological Process Annotations 2025 dataset.

From GO Biological Process Annotations 2025

genes participating in the negative regulation of striated muscle tissue development biological process from the curated GO Biological Process Annotations 2025 dataset.

From GO Biological Process Annotations 2025

genes participating in the negative regulation of biomineral tissue development biological process from the curated GO Biological Process Annotations 2025 dataset.

From GO Biological Process Annotations 2025

genes participating in the negative regulation of adipose tissue development biological process from the curated GO Biological Process Annotations 2025 dataset.

From GO Biological Process Annotations 2025

genes participating in the negative regulation of skeletal muscle tissue development biological process from the curated GO Biological Process Annotations 2025 dataset.

From GO Biological Process Annotations 2025

genes participating in the regulation of tissue remodeling biological process from the curated GO Biological Process Annotations 2025 dataset.

From GO Biological Process Annotations 2025

genes participating in the regulation of striated muscle tissue development biological process from the curated GO Biological Process Annotations 2025 dataset.

From GO Biological Process Annotations 2025

genes participating in the negative regulation of cardiac muscle tissue development biological process from the curated GO Biological Process Annotations 2025 dataset.

From GO Biological Process Annotations 2025

genes participating in the regulation of apoptosis involved in tissue homeostasis biological process from the curated GO Biological Process Annotations 2025 dataset.

From GO Biological Process Annotations 2025

genes participating in the negative regulation of cardiac muscle tissue regeneration biological process from the curated GO Biological Process Annotations 2025 dataset.

From GO Biological Process Annotations 2025

genes participating in the regulation of cell proliferation involved in tissue homeostasis biological process from the curated GO Biological Process Annotations 2025 dataset.

From GO Biological Process Annotations 2025

genes participating in the regulation of adipose tissue development biological process from the curated GO Biological Process Annotations 2025 dataset.

From GO Biological Process Annotations 2025

genes participating in the regulation of skeletal muscle tissue development biological process from the curated GO Biological Process Annotations 2025 dataset.

From GO Biological Process Annotations 2025

genes participating in the negative regulation of skeletal muscle tissue regeneration biological process from the curated GO Biological Process Annotations 2025 dataset.

From GO Biological Process Annotations 2025

genes participating in the regulation of smooth muscle tissue development biological process from the curated GO Biological Process Annotations 2025 dataset.

From GO Biological Process Annotations 2025

genes participating in the negative regulation of cardiac muscle tissue growth biological process from the curated GO Biological Process Annotations 2025 dataset.

From GO Biological Process Annotations 2025

genes participating in the regulation of biomineral tissue development biological process from the curated GO Biological Process Annotations 2025 dataset.

From GO Biological Process Annotations 2025

genes participating in the negative regulation of muscle tissue development biological process from the curated GO Biological Process Annotations 2025 dataset.

From GO Biological Process Annotations 2025

genes participating in the negative regulation of tissue remodeling biological process from the curated GO Biological Process Annotations 2025 dataset.

From GO Biological Process Annotations 2025

genes participating in the regulation of muscle tissue development biological process from the curated GO Biological Process Annotations 2025 dataset.

From GO Biological Process Annotations 2025

genes participating in the regulation of cardiac muscle tissue development biological process from the curated GO Biological Process Annotations 2025 dataset.

From GO Biological Process Annotations 2025

genes participating in the regulation of cardiac muscle tissue growth biological process from the curated GO Biological Process Annotations 2025 dataset.

From GO Biological Process Annotations 2025

genes participating in the regulation of cardiac muscle tissue regeneration biological process from the curated GO Biological Process Annotations 2025 dataset.

From GO Biological Process Annotations 2025

genes participating in the regulation of immunoglobulin production in mucosal tissue biological process from the curated GO Biological Process Annotations 2025 dataset.

From GO Biological Process Annotations 2015

genes participating in the regulation of cd4-positive, cd25-positive, alpha-beta regulatory t cell differentiation biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2015

genes participating in the positive regulation of cd8-positive, alpha-beta t cell activation biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2015

genes participating in the positive regulation of cd4-positive, alpha-beta t cell costimulation biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2015

genes participating in the positive regulation of cd4-positive, alpha-beta t cell activation biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2015

genes participating in the positive regulation of cd8-positive, alpha-beta t cell proliferation biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2015

genes participating in the positive regulation of cd4-positive, alpha-beta t cell proliferation biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2015

genes participating in the positive regulation of cd8-positive, alpha-beta t cell extravasation biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2015

genes participating in the positive regulation of biosynthetic process of antibacterial peptides active against gram-positive bacteria biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2015

genes participating in the positive regulation of cd8-positive, alpha-beta t cell differentiation biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2015

genes participating in the positive regulation of cd8-positive, alpha-beta cytotoxic t cell extravasation biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2015

genes participating in the positive regulation of cd4-positive, alpha-beta t cell differentiation biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2015

genes participating in the positive regulation of positive chemotaxis biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2023

genes participating in the positive regulation of CD4-positive, alpha-beta T cell proliferation biological process from the curated GO Biological Process Annotations 2023 dataset.

From GO Biological Process Annotations 2023

genes participating in the positive regulation of CD4-positive, alpha-beta T cell differentiation biological process from the curated GO Biological Process Annotations 2023 dataset.

From GO Biological Process Annotations 2023

genes participating in the positive regulation of CD4-positive, alpha-beta T cell activation biological process from the curated GO Biological Process Annotations 2023 dataset.

From GO Biological Process Annotations 2023

genes participating in the positive regulation of CD8-positive, alpha-beta T cell proliferation biological process from the curated GO Biological Process Annotations 2023 dataset.

From GO Biological Process Annotations 2023

genes participating in the positive regulation of CD8-positive, alpha-beta T cell activation biological process from the curated GO Biological Process Annotations 2023 dataset.

From GO Biological Process Annotations 2023

genes participating in the positive regulation of positive chemotaxis biological process from the curated GO Biological Process Annotations 2023 dataset.

From GO Biological Process Annotations 2023

genes participating in the positive regulation of CD4-positive, alpha-beta T cell costimulation biological process from the curated GO Biological Process Annotations 2023 dataset.

From GO Biological Process Annotations 2023

genes participating in the positive regulation of CD8-positive, alpha-beta T cell extravasation biological process from the curated GO Biological Process Annotations 2023 dataset.

From GO Biological Process Annotations 2023

genes participating in the positive regulation of CD8-positive, alpha-beta T cell differentiation biological process from the curated GO Biological Process Annotations 2023 dataset.

From GO Biological Process Annotations 2023

genes participating in the positive regulation of CD8-positive, alpha-beta cytotoxic T cell extravasation biological process from the curated GO Biological Process Annotations 2023 dataset.

From GO Biological Process Annotations 2023

genes participating in the positive regulation of activated CD8-positive, alpha-beta T cell apoptotic process biological process from the curated GO Biological Process Annotations 2023 dataset.

From GO Biological Process Annotations 2023

genes participating in the regulation of CD4-positive, CD25-positive, alpha-beta regulatory T cell differentiation involved in immune response biological process from the curated GO Biological Process Annotations 2023 dataset.

From GO Biological Process Annotations 2023

genes participating in the regulation of CD4-positive, CD25-positive, alpha-beta regulatory T cell differentiation biological process from the curated GO Biological Process Annotations 2023 dataset.

From GO Biological Process Annotations 2025

genes participating in the positive regulation of CD4-positive, alpha-beta T cell proliferation biological process from the curated GO Biological Process Annotations 2025 dataset.

From GO Biological Process Annotations 2025

genes participating in the positive regulation of CD4-positive, alpha-beta T cell differentiation biological process from the curated GO Biological Process Annotations 2025 dataset.

From GO Biological Process Annotations 2025

genes participating in the positive regulation of CD4-positive, alpha-beta T cell activation biological process from the curated GO Biological Process Annotations 2025 dataset.

From GO Biological Process Annotations 2025

genes participating in the positive regulation of CD8-positive, alpha-beta T cell proliferation biological process from the curated GO Biological Process Annotations 2025 dataset.

From GO Biological Process Annotations 2025

genes participating in the positive regulation of CD8-positive, alpha-beta T cell activation biological process from the curated GO Biological Process Annotations 2025 dataset.

From GO Biological Process Annotations 2025

genes participating in the positive regulation of positive chemotaxis biological process from the curated GO Biological Process Annotations 2025 dataset.

From GO Biological Process Annotations 2025

genes participating in the positive regulation of CD4-positive, alpha-beta T cell costimulation biological process from the curated GO Biological Process Annotations 2025 dataset.

From GO Biological Process Annotations 2025

genes participating in the positive regulation of CD8-positive, alpha-beta T cell extravasation biological process from the curated GO Biological Process Annotations 2025 dataset.

From GO Biological Process Annotations 2025

genes participating in the positive regulation of CD8-positive, alpha-beta T cell differentiation biological process from the curated GO Biological Process Annotations 2025 dataset.

From GO Biological Process Annotations 2025

genes participating in the positive regulation of CD8-positive, alpha-beta cytotoxic T cell extravasation biological process from the curated GO Biological Process Annotations 2025 dataset.

From GO Biological Process Annotations 2025

genes participating in the regulation of CD4-positive, CD25-positive, alpha-beta regulatory T cell differentiation biological process from the curated GO Biological Process Annotations 2025 dataset.

From GO Biological Process Annotations 2025

genes participating in the positive regulation of activated CD8-positive, alpha-beta T cell apoptotic process biological process from the curated GO Biological Process Annotations 2025 dataset.

From GO Biological Process Annotations 2025

genes participating in the regulation of CD4-positive, CD25-positive, alpha-beta regulatory T cell differentiation involved in immune response biological process from the curated GO Biological Process Annotations 2025 dataset.

From GO Biological Process Annotations 2015

genes participating in the positive regulation of skeletal muscle contraction by regulation of release of sequestered calcium ion biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2015

genes participating in the regulation of glycolytic by positive regulation of transcription from rna polymerase ii promoter biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2015

genes participating in the regulation of cellular ketone metabolic process by positive regulation of transcription from rna polymerase ii promoter biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2015

genes participating in the regulation of lipid transport by positive regulation of transcription from rna polymerase ii promoter biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2015

genes participating in the positive regulation of heart induction by negative regulation of canonical wnt signaling pathway biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2015

genes participating in the positive regulation of ubiquitin-protein ligase activity involved in regulation of mitotic cell cycle transition biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2023

genes participating in the positive regulation of heart induction by negative regulation of canonical Wnt signaling pathway biological process from the curated GO Biological Process Annotations 2023 dataset.

From GO Biological Process Annotations 2023

genes participating in the positive regulation of skeletal muscle contraction by regulation of release of sequestered calcium ion biological process from the curated GO Biological Process Annotations 2023 dataset.

From GO Biological Process Annotations 2023

genes participating in the positive regulation of regulation of vascular associated smooth muscle cell membrane depolarization biological process from the curated GO Biological Process Annotations 2023 dataset.

From GO Biological Process Annotations 2025

genes participating in the positive regulation of skeletal muscle contraction by regulation of release of sequestered calcium ion biological process from the curated GO Biological Process Annotations 2025 dataset.

From GO Biological Process Annotations 2025

genes participating in the positive regulation of regulation of vascular associated smooth muscle cell membrane depolarization biological process from the curated GO Biological Process Annotations 2025 dataset.

From Biocarta Pathways

proteins participating in the apoptotic dna-fragmentation and tissue homeostasis pathway from the Biocarta Pathways dataset.

From COMPARTMENTS Text-mining Protein Localization Evidence Scores

proteins co-occuring with the fibronectin-tissue transglutaminase complex cellular component in abstracts of biomedical publications from the COMPARTMENTS Text-mining Protein Localization Evidence Scores dataset.

From CTD Gene-Disease Associations

genes/proteins associated with the disease Soft Tissue Neoplasms from the curated CTD Gene-Disease Associations dataset.

From CTD Gene-Disease Associations

genes/proteins associated with the disease Neoplasms, Bone Tissue from the curated CTD Gene-Disease Associations dataset.

From dbGAP Gene-Trait Associations

genes associated with the trait Tissue Plasminogen Activator in GWAS and other genetic association datasets from the dbGAP Gene-Trait Associations dataset.

From DISEASES Curated Gene-Disease Association Evidence Scores

genes involed in the disease teeth hard tissue disease from the DISEASES Curated Gene-Disease Assocation Evidence Scores dataset.

From DISEASES Curated Gene-Disease Association Evidence Scores

genes involed in the disease muscle tissue disease from the DISEASES Curated Gene-Disease Assocation Evidence Scores dataset.

From DISEASES Experimental Gene-Disease Association Evidence Scores

genes associated with the disease teeth hard tissue disease in GWAS datasets from the DISEASES Experimental Gene-Disease Assocation Evidence Scores dataset.

From DISEASES Experimental Gene-Disease Association Evidence Scores

genes associated with the disease muscle tissue disease in GWAS datasets from the DISEASES Experimental Gene-Disease Assocation Evidence Scores dataset.

From DISEASES Text-mining Gene-Disease Association Evidence Scores

genes co-occuring with the disease teeth hard tissue disease in abstracts of biomedical publications from the DISEASES Text-mining Gene-Disease Assocation Evidence Scores dataset.

From DISEASES Text-mining Gene-Disease Association Evidence Scores

genes co-occuring with the disease muscle tissue disease in abstracts of biomedical publications from the DISEASES Text-mining Gene-Disease Assocation Evidence Scores dataset.

From GAD Gene-Disease Associations

genes associated with the disease mucosa-associated lymphoid tissue lymphoma in GWAS and other genetic association datasets from the GAD Gene-Disease Associations dataset.

From GAD Gene-Disease Associations

genes associated with the disease adipose-tissue tumors in GWAS and other genetic association datasets from the GAD Gene-Disease Associations dataset.

From GAD Gene-Disease Associations

genes associated with the disease tissue type plasminogen activator-regulated; secretion in GWAS and other genetic association datasets from the GAD Gene-Disease Associations dataset.

From GAD Gene-Disease Associations

genes associated with the disease adipose tissue lipoprotein lipase activity and lipoprotein lipid and glucose concentrations in GWAS and other genetic association datasets from the GAD Gene-Disease Associations dataset.

From GAD Gene-Disease Associations

genes associated with the disease plasminogen activator inhibitor-1; tissue-type plasminogen activator in GWAS and other genetic association datasets from the GAD Gene-Disease Associations dataset.

From GAD Gene-Disease Associations

genes associated with the disease bone cancer; soft tissue sarcoma in GWAS and other genetic association datasets from the GAD Gene-Disease Associations dataset.

From GAD Gene-Disease Associations

genes associated with the disease high-grade soft tissue sarcoma in GWAS and other genetic association datasets from the GAD Gene-Disease Associations dataset.

From GAD Gene-Disease Associations

genes associated with the disease shoulder dislocation; soft tissue injuries in GWAS and other genetic association datasets from the GAD Gene-Disease Associations dataset.

From GAD Gene-Disease Associations

genes associated with the disease soft tissue sarcoma in GWAS and other genetic association datasets from the GAD Gene-Disease Associations dataset.

From GAD Gene-Disease Associations

genes associated with the disease tissue-type plasminogen activator levels in GWAS and other genetic association datasets from the GAD Gene-Disease Associations dataset.

From GAD Gene-Disease Associations

genes associated with the disease malignant cystosarcoma phyllodes and soft tissue sarcoma in GWAS and other genetic association datasets from the GAD Gene-Disease Associations dataset.

From GAD Gene-Disease Associations

genes associated with the disease cyp1a1 levels in lung tissue in GWAS and other genetic association datasets from the GAD Gene-Disease Associations dataset.

From GAD Gene-Disease Associations

genes associated with the disease lymphomas of mucosa-associated lymphoid tissue. in GWAS and other genetic association datasets from the GAD Gene-Disease Associations dataset.

From GAD Gene-Disease Associations

genes associated with the disease adhesions; peritoneal diseases; tissue adhesions in GWAS and other genetic association datasets from the GAD Gene-Disease Associations dataset.

From GAD Gene-Disease Associations

genes associated with the disease lymphoma, b-cell, marginal zone; mucosa-associated lymphoid tissue lymphoma; stomach neoplasms in GWAS and other genetic association datasets from the GAD Gene-Disease Associations dataset.

From GAD Gene-Disease Associations

genes associated with the disease fibrosarcoma; myxoma; soft tissue neoplasms in GWAS and other genetic association datasets from the GAD Gene-Disease Associations dataset.

From GAD Gene-Disease Associations

genes associated with the disease tissue plasminogen activator in GWAS and other genetic association datasets from the GAD Gene-Disease Associations dataset.

From GeneRIF Biological Term Annotations

genes co-occuring with the biological term tissue in literature-supported statements describing functions of genes from the GeneRIF Biological Term Annotations dataset.

From GEO Signatures of Differentially Expressed Genes for Gene Perturbations

genes differentially expressed following the SCA1_Knock-in_GDS1756_233_mouse_Forebrain tissue - 4 weeks of age gene perturbation from the GEO Signatures of Differentially Expressed Genes for Gene Perturbations dataset.

From GEO Signatures of Differentially Expressed Genes for Gene Perturbations

genes differentially expressed following the SIRT3_KO_GDS4058_16_mouse_BROWN ADIPOSE TISSUE gene perturbation from the GEO Signatures of Differentially Expressed Genes for Gene Perturbations dataset.

From GEO Signatures of Differentially Expressed Genes for Gene Perturbations

genes differentially expressed following the KDM1A_KD_GDS5055_367_mouse_adipose tissue gene perturbation from the GEO Signatures of Differentially Expressed Genes for Gene Perturbations dataset.

From GEO Signatures of Differentially Expressed Genes for Gene Perturbations

genes differentially expressed following the FSP27_KO_GDS3768_514_mouse_White adipose tissue (WAT) gene perturbation from the GEO Signatures of Differentially Expressed Genes for Gene Perturbations dataset.

From GEO Signatures of Differentially Expressed Genes for Gene Perturbations

genes differentially expressed following the SCA1_Knock-in_GDS1756_231_mouse_Cerebellum tissue - 4 weeks of age gene perturbation from the GEO Signatures of Differentially Expressed Genes for Gene Perturbations dataset.

From GEO Signatures of Differentially Expressed Genes for Gene Perturbations

genes differentially expressed following the CLDN18_KO_GDS4961_28_mouse_whole lung tissue gene perturbation from the GEO Signatures of Differentially Expressed Genes for Gene Perturbations dataset.

From GEO Signatures of Differentially Expressed Genes for Gene Perturbations

genes differentially expressed following the SIRT3_KO_GDS4058_454_mouse_BROWN ADIPOSE TISSUE gene perturbation from the GEO Signatures of Differentially Expressed Genes for Gene Perturbations dataset.

From GEO Signatures of Differentially Expressed Genes for Gene Perturbations

genes differentially expressed following the SCA1_Knock-in_GDS1756_232_mouse_Cerebellum tissue - 12 weeks of age gene perturbation from the GEO Signatures of Differentially Expressed Genes for Gene Perturbations dataset.

From GEO Signatures of Differentially Expressed Genes for Gene Perturbations

genes differentially expressed following the SCA1_Knock-in_GDS1756_234_mouse_Forebrain tissue - 12 weeks of age gene perturbation from the GEO Signatures of Differentially Expressed Genes for Gene Perturbations dataset.

From GEO Signatures of Differentially Expressed Genes for Gene Perturbations

genes differentially expressed following the TGFB2_KD_GDS4483_351_mouse_Embryonic palatal tissue gene perturbation from the GEO Signatures of Differentially Expressed Genes for Gene Perturbations dataset.

From GEO Signatures of Differentially Expressed Genes for Gene Perturbations

genes differentially expressed following the GK_KO_GDS2610_162_mouse_Brown adipose tissue gene perturbation from the GEO Signatures of Differentially Expressed Genes for Gene Perturbations dataset.

From GEO Signatures of Differentially Expressed Genes for Gene Perturbations

genes differentially expressed following the Otx2_KO_GDS4440_143_mouse_fourth ventricular choroid plexus tissue gene perturbation from the GEO Signatures of Differentially Expressed Genes for Gene Perturbations dataset.

From GEO Signatures of Differentially Expressed Genes for Gene Perturbations

genes differentially expressed following the PRDM16_DEPLETION_GDS4021_460_mouse_WAT - white adipose tissue (stromal-vascular cells) gene perturbation from the GEO Signatures of Differentially Expressed Genes for Gene Perturbations dataset.

From GEO Signatures of Differentially Expressed Genes for Gene Perturbations

genes differentially expressed following the KDM1A_KD_GDS5055_457_mouse_adipose tissue gene perturbation from the GEO Signatures of Differentially Expressed Genes for Gene Perturbations dataset.

From GEO Signatures of Differentially Expressed Genes for Gene Perturbations

genes differentially expressed following the PHGDH_KO_GDS2874_125_mouse_embryonic head tissue gene perturbation from the GEO Signatures of Differentially Expressed Genes for Gene Perturbations dataset.

From GEO Signatures of Differentially Expressed Genes for Gene Perturbations

genes differentially expressed following the SFRP5_KO_GDS4988_27_mouse_gonadal white adipose tissue HFD gene perturbation from the GEO Signatures of Differentially Expressed Genes for Gene Perturbations dataset.

From GO Biological Process Annotations 2015

genes participating in the skeletal muscle tissue regeneration biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2015

genes participating in the skeletal muscle tissue development biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2015

genes participating in the chemical homeostasis within a tissue biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2015

genes participating in the immunoglobulin production in mucosal tissue biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2015

genes participating in the tissue morphogenesis biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2015

genes participating in the skeletal muscle tissue growth biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2015

genes participating in the tissue remodeling biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2015

genes participating in the striated muscle tissue development biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2015

genes participating in the cardiac muscle tissue morphogenesis biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2015

genes participating in the aorta smooth muscle tissue morphogenesis biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2015

genes participating in the planar cell polarity pathway involved in cardiac muscle tissue morphogenesis biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2015

genes participating in the organ or tissue specific immune response biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2015

genes participating in the adipose tissue development biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2015

genes participating in the cardiac muscle tissue regeneration biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2015

genes participating in the atrial cardiac muscle tissue morphogenesis biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2015

genes participating in the tissue homeostasis biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2015

genes participating in the right ventricular cardiac muscle tissue morphogenesis biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2015

genes participating in the kidney smooth muscle tissue development biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2015

genes participating in the cardiac muscle tissue development biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2015

genes participating in the mucosal-associated lymphoid tissue development biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2015

genes participating in the cardiac muscle tissue growth involved in heart morphogenesis biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2015

genes participating in the cardiac muscle tissue growth biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2015

genes participating in the tissue development biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2015

genes participating in the muscle tissue morphogenesis biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2015

genes participating in the secretion by tissue biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2015

genes participating in the left ventricular cardiac muscle tissue morphogenesis biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2015

genes participating in the homeostasis of number of cells within a tissue biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2015

genes participating in the biomineral tissue development biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2015

genes participating in the tissue migration biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2015

genes participating in the ventricular cardiac muscle tissue morphogenesis biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2015

genes participating in the muscle tissue development biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2015

genes participating in the establishment of tissue polarity biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2015

genes participating in the metanephric smooth muscle tissue development biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2015

genes participating in the antigen transcytosis by m cells in mucosal-associated lymphoid tissue biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2015

genes participating in the smooth muscle tissue development biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2015

genes participating in the ventricular cardiac muscle tissue development biological process from the curated GO Biological Process Annotations 2015 dataset.

From GO Biological Process Annotations 2015

genes participating in the tissue regeneration biological process from the curated GO Biological Process Annotations 2015 dataset.

From GTEx Tissue Gene Expression Profiles

genes with high or low expression in adipose tissue relative to other tissues from the GTEx Tissue Gene Expression Profiles dataset.

From GWAS Catalog SNP-Phenotype Associations

genes associated with the Visceral adipose tissue adjusted for BMI phenotype in GWAS datasets from the GWAS Catalog SNP-Phenotype Associations dataset.

From GWAS Catalog SNP-Phenotype Associations

genes associated with the Subcutaneous adipose tissue phenotype in GWAS datasets from the GWAS Catalog SNP-Phenotype Associations dataset.

From GWASdb SNP-Disease Associations

genes associated with the disease teeth hard tissue disease in GWAS and other genetic association datasets from the GWASdb SNP-Disease Associations dataset.

From GWASdb SNP-Disease Associations

genes associated with the disease muscle tissue disease in GWAS and other genetic association datasets from the GWASdb SNP-Disease Associations dataset.

From GWASdb SNP-Phenotype Associations

genes associated with the nervous tissue neoplasm phenotype in GWAS datasets from the GWASdb SNP-Phenotype Associations dataset.

From GWASdb SNP-Phenotype Associations

genes associated with the abnormality of adipose tissue phenotype in GWAS datasets from the GWASdb SNP-Phenotype Associations dataset.

From GWASdb SNP-Phenotype Associations

genes associated with the depletion of mitochondrial dna in muscle tissue phenotype in GWAS datasets from the GWASdb SNP-Phenotype Associations dataset.

From HPA Tissue Gene Expression Profiles

genes with high or low expression in adipose tissue relative to other tissues from the HPA Tissue Gene Expression Profiles dataset.

From HPA Tissue Protein Expression Profiles

proteins with high or low expression in soft tissue relative to other tissues from the HPA Tissue Protein Expression Profiles dataset.

From HPO Gene-Disease Associations

genes associated with the fullness of paranasal tissue phenotype by mapping known disease genes to disease phenotypes from the HPO Gene-Disease Associations dataset.

From HPO Gene-Disease Associations

genes associated with the decreased adipose tissue around neck phenotype by mapping known disease genes to disease phenotypes from the HPO Gene-Disease Associations dataset.

From HPO Gene-Disease Associations

genes associated with the abnormal mitochondria in muscle tissue phenotype by mapping known disease genes to disease phenotypes from the HPO Gene-Disease Associations dataset.

From HPO Gene-Disease Associations

genes associated with the abnormal subcutaneous fat tissue distribution phenotype by mapping known disease genes to disease phenotypes from the HPO Gene-Disease Associations dataset.

From HPO Gene-Disease Associations

genes associated with the neoplasm of fatty tissue phenotype by mapping known disease genes to disease phenotypes from the HPO Gene-Disease Associations dataset.

From HPO Gene-Disease Associations

genes associated with the reduced subcutaneous adipose tissue phenotype by mapping known disease genes to disease phenotypes from the HPO Gene-Disease Associations dataset.

From HPO Gene-Disease Associations

genes associated with the gonadal tissue inappropriate for external genitalia or chromosomal sex phenotype by mapping known disease genes to disease phenotypes from the HPO Gene-Disease Associations dataset.

From HPO Gene-Disease Associations

genes associated with the ectopic ossification in ligament tissue phenotype by mapping known disease genes to disease phenotypes from the HPO Gene-Disease Associations dataset.

From HPO Gene-Disease Associations

genes associated with the increased adipose tissue phenotype by mapping known disease genes to disease phenotypes from the HPO Gene-Disease Associations dataset.

From HPO Gene-Disease Associations

genes associated with the loss of subcutaneous adipose tissue in limbs phenotype by mapping known disease genes to disease phenotypes from the HPO Gene-Disease Associations dataset.

From HPO Gene-Disease Associations

genes associated with the decreased activity of cytochrome c oxidase in muscle tissue phenotype by mapping known disease genes to disease phenotypes from the HPO Gene-Disease Associations dataset.

From HPO Gene-Disease Associations

genes associated with the decreased mitochondrial complex iii activity in liver tissue phenotype by mapping known disease genes to disease phenotypes from the HPO Gene-Disease Associations dataset.

From HPO Gene-Disease Associations

genes associated with the lack of subcutaneous fatty tissue phenotype by mapping known disease genes to disease phenotypes from the HPO Gene-Disease Associations dataset.

From HPO Gene-Disease Associations

genes associated with the loss of truncal subcutaneous adipose tissue phenotype by mapping known disease genes to disease phenotypes from the HPO Gene-Disease Associations dataset.

From HPO Gene-Disease Associations

genes associated with the abnormality of facial soft tissue phenotype by mapping known disease genes to disease phenotypes from the HPO Gene-Disease Associations dataset.

From HPO Gene-Disease Associations

genes associated with the nervous tissue neoplasm phenotype by mapping known disease genes to disease phenotypes from the HPO Gene-Disease Associations dataset.

From HPO Gene-Disease Associations

genes associated with the ectopic ossification in muscle tissue phenotype by mapping known disease genes to disease phenotypes from the HPO Gene-Disease Associations dataset.

From HPO Gene-Disease Associations

genes associated with the fibrous tissue neoplasm phenotype by mapping known disease genes to disease phenotypes from the HPO Gene-Disease Associations dataset.

From HPO Gene-Disease Associations

genes associated with the abnormality of adipose tissue phenotype by mapping known disease genes to disease phenotypes from the HPO Gene-Disease Associations dataset.

From HPO Gene-Disease Associations

genes associated with the abnormality of facial adipose tissue phenotype by mapping known disease genes to disease phenotypes from the HPO Gene-Disease Associations dataset.

From HPO Gene-Disease Associations

genes associated with the soft tissue swelling of interphalangeal joints phenotype by mapping known disease genes to disease phenotypes from the HPO Gene-Disease Associations dataset.

From HPO Gene-Disease Associations

genes associated with the ectopic ossification in tendon tissue phenotype by mapping known disease genes to disease phenotypes from the HPO Gene-Disease Associations dataset.

From HPO Gene-Disease Associations

genes associated with the abnormality of subcutaneous fat tissue phenotype by mapping known disease genes to disease phenotypes from the HPO Gene-Disease Associations dataset.

From HPO Gene-Disease Associations

genes associated with the yellow subcutaneous tissue covered by thin, scaly skin phenotype by mapping known disease genes to disease phenotypes from the HPO Gene-Disease Associations dataset.

From HPO Gene-Disease Associations

genes associated with the increased facial adipose tissue phenotype by mapping known disease genes to disease phenotypes from the HPO Gene-Disease Associations dataset.

From HPO Gene-Disease Associations

genes associated with the elevated tissue non-specific alkaline phosphatase phenotype by mapping known disease genes to disease phenotypes from the HPO Gene-Disease Associations dataset.

From HPO Gene-Disease Associations

genes associated with the increased adipose tissue around the neck phenotype by mapping known disease genes to disease phenotypes from the HPO Gene-Disease Associations dataset.

From HPO Gene-Disease Associations

genes associated with the loss of facial adipose tissue phenotype by mapping known disease genes to disease phenotypes from the HPO Gene-Disease Associations dataset.

From HPO Gene-Disease Associations

genes associated with the loss of gluteal subcutaneous adipose tissue phenotype by mapping known disease genes to disease phenotypes from the HPO Gene-Disease Associations dataset.

From HPO Gene-Disease Associations

genes associated with the nearly complete absence of metabolically active adipose tissue (subcutaneous, intraabdominal, intrathoracic) phenotype by mapping known disease genes to disease phenotypes from the HPO Gene-Disease Associations dataset.

From HPO Gene-Disease Associations

genes associated with the adipose tissue loss phenotype by mapping known disease genes to disease phenotypes from the HPO Gene-Disease Associations dataset.

From HPO Gene-Disease Associations

genes associated with the decreased adipose tissue phenotype by mapping known disease genes to disease phenotypes from the HPO Gene-Disease Associations dataset.

From HPO Gene-Disease Associations

genes associated with the depletion of mitochondrial dna in muscle tissue phenotype by mapping known disease genes to disease phenotypes from the HPO Gene-Disease Associations dataset.

From HuGE Navigator Gene-Phenotype Associations

genes associated with the Soft Tissue Neoplasms phenotype by text-mining GWAS publications from the HuGE Navigator Gene-Phenotype Associations dataset.

From HuGE Navigator Gene-Phenotype Associations

genes associated with the Neoplasms, Gonadal Tissue phenotype by text-mining GWAS publications from the HuGE Navigator Gene-Phenotype Associations dataset.

From HuGE Navigator Gene-Phenotype Associations

genes associated with the Neoplasms, Nerve Tissue phenotype by text-mining GWAS publications from the HuGE Navigator Gene-Phenotype Associations dataset.

From HuGE Navigator Gene-Phenotype Associations

genes associated with the Lymphoma, Mucosa-Associated Lymphoid Tissue phenotype by text-mining GWAS publications from the HuGE Navigator Gene-Phenotype Associations dataset.

From HuGE Navigator Gene-Phenotype Associations

genes associated with the Soft Tissue Injuries phenotype by text-mining GWAS publications from the HuGE Navigator Gene-Phenotype Associations dataset.

From HuGE Navigator Gene-Phenotype Associations

genes associated with the Neoplasms, Bone Tissue phenotype by text-mining GWAS publications from the HuGE Navigator Gene-Phenotype Associations dataset.

From InterPro Predicted Protein Domain Annotations

proteins predicted to have the Tissue factor/coagulation factor III protein domain from the InterPro Predicted Protein Domain Annotations dataset.

From InterPro Predicted Protein Domain Annotations

proteins predicted to have the Proteinase inhibitor I35, tissue inhibitor of metalloproteinase, C-terminal domain protein domain from the InterPro Predicted Protein Domain Annotations dataset.

From InterPro Predicted Protein Domain Annotations

proteins predicted to have the Tissue alpha-L-fucosidase protein domain from the InterPro Predicted Protein Domain Annotations dataset.

From InterPro Predicted Protein Domain Annotations

proteins predicted to have the Tissue inhibitor of metalloprotease 2 protein domain from the InterPro Predicted Protein Domain Annotations dataset.

From InterPro Predicted Protein Domain Annotations

proteins predicted to have the Tissue inhibitor of metalloprotease 3 protein domain from the InterPro Predicted Protein Domain Annotations dataset.

From InterPro Predicted Protein Domain Annotations

proteins predicted to have the Tissue inhibitor of metalloprotease 4 protein domain from the InterPro Predicted Protein Domain Annotations dataset.

From InterPro Predicted Protein Domain Annotations

proteins predicted to have the Tissue factor protein domain from the InterPro Predicted Protein Domain Annotations dataset.

From InterPro Predicted Protein Domain Annotations

proteins predicted to have the Proteinase inhibitor I35, tissue inhibitor of metalloproteinase protein domain from the InterPro Predicted Protein Domain Annotations dataset.

From InterPro Predicted Protein Domain Annotations

proteins predicted to have the Tissue plasminogen activator protein domain from the InterPro Predicted Protein Domain Annotations dataset.

From InterPro Predicted Protein Domain Annotations

proteins predicted to have the Tissue inhibitor of metalloproteinases-like, OB-fold protein domain from the InterPro Predicted Protein Domain Annotations dataset.

From InterPro Predicted Protein Domain Annotations

proteins predicted to have the Tissue factor pathway inhibitor 2 protein domain from the InterPro Predicted Protein Domain Annotations dataset.

From InterPro Predicted Protein Domain Annotations

proteins predicted to have the Tissue factor pathway inhibitor 1 protein domain from the InterPro Predicted Protein Domain Annotations dataset.

From MPO Gene-Phenotype Associations

gene mutations causing the adipose tissue necrosis phenotype in transgenic mice from the MPO Gene-Phenotype Associations dataset.

From MPO Gene-Phenotype Associations

gene mutations causing the abnormal embryonic tissue morphology phenotype in transgenic mice from the MPO Gene-Phenotype Associations dataset.

From MPO Gene-Phenotype Associations

gene mutations causing the increased lung tissue damping phenotype in transgenic mice from the MPO Gene-Phenotype Associations dataset.

From MPO Gene-Phenotype Associations

gene mutations causing the abnormal brown adipose tissue physiology phenotype in transgenic mice from the MPO Gene-Phenotype Associations dataset.

From MPO Gene-Phenotype Associations

gene mutations causing the increased white adipose tissue amount phenotype in transgenic mice from the MPO Gene-Phenotype Associations dataset.

From MPO Gene-Phenotype Associations

gene mutations causing the abnormal brown adipose tissue amount phenotype in transgenic mice from the MPO Gene-Phenotype Associations dataset.

From MPO Gene-Phenotype Associations

gene mutations causing the abnormal adipose tissue physiology phenotype in transgenic mice from the MPO Gene-Phenotype Associations dataset.

From MPO Gene-Phenotype Associations

gene mutations causing the decreased abdominal adipose tissue amount phenotype in transgenic mice from the MPO Gene-Phenotype Associations dataset.

From MPO Gene-Phenotype Associations

gene mutations causing the abnormal extraembryonic tissue morphology phenotype in transgenic mice from the MPO Gene-Phenotype Associations dataset.

From MPO Gene-Phenotype Associations

gene mutations causing the abnormal brown adipose tissue thermogenesis phenotype in transgenic mice from the MPO Gene-Phenotype Associations dataset.

From MPO Gene-Phenotype Associations

gene mutations causing the abnormal aorta elastic tissue morphology phenotype in transgenic mice from the MPO Gene-Phenotype Associations dataset.

From MPO Gene-Phenotype Associations

gene mutations causing the abnormal adipose tissue development phenotype in transgenic mice from the MPO Gene-Phenotype Associations dataset.

From MPO Gene-Phenotype Associations

gene mutations causing the decreased subcutaneous adipose tissue amount phenotype in transgenic mice from the MPO Gene-Phenotype Associations dataset.

From MPO Gene-Phenotype Associations

gene mutations causing the absent subcutaneous adipose tissue phenotype in transgenic mice from the MPO Gene-Phenotype Associations dataset.

From MPO Gene-Phenotype Associations

gene mutations causing the abnormal brown adipose tissue morphology phenotype in transgenic mice from the MPO Gene-Phenotype Associations dataset.

From MPO Gene-Phenotype Associations

gene mutations causing the abnormal tooth hard tissue morphology phenotype in transgenic mice from the MPO Gene-Phenotype Associations dataset.

From MPO Gene-Phenotype Associations

gene mutations causing the abnormal extraembryonic tissue physiology phenotype in transgenic mice from the MPO Gene-Phenotype Associations dataset.

From MPO Gene-Phenotype Associations

gene mutations causing the decreased brown adipose tissue amount phenotype in transgenic mice from the MPO Gene-Phenotype Associations dataset.

From MPO Gene-Phenotype Associations

gene mutations causing the abnormal adipose tissue amount phenotype in transgenic mice from the MPO Gene-Phenotype Associations dataset.

From MPO Gene-Phenotype Associations

gene mutations causing the embryo tissue necrosis phenotype in transgenic mice from the MPO Gene-Phenotype Associations dataset.

From MPO Gene-Phenotype Associations

gene mutations causing the abnormal white adipose tissue amount phenotype in transgenic mice from the MPO Gene-Phenotype Associations dataset.

From MPO Gene-Phenotype Associations

gene mutations causing the abnormal mucosa-associated lymphoid tissue morphology phenotype in transgenic mice from the MPO Gene-Phenotype Associations dataset.

From MPO Gene-Phenotype Associations

gene mutations causing the persistence of notochord tissue phenotype in transgenic mice from the MPO Gene-Phenotype Associations dataset.

From MPO Gene-Phenotype Associations

gene mutations causing the abnormal blood vessel elastic tissue morphology phenotype in transgenic mice from the MPO Gene-Phenotype Associations dataset.

From MPO Gene-Phenotype Associations

gene mutations causing the abnormal total tissue mass phenotype in transgenic mice from the MPO Gene-Phenotype Associations dataset.

From MPO Gene-Phenotype Associations

gene mutations causing the abnormal gut-associated lymphoid tissue morphology phenotype in transgenic mice from the MPO Gene-Phenotype Associations dataset.

From MPO Gene-Phenotype Associations

gene mutations causing the increased total tissue mass phenotype in transgenic mice from the MPO Gene-Phenotype Associations dataset.

From MPO Gene-Phenotype Associations

gene mutations causing the decreased total tissue mass phenotype in transgenic mice from the MPO Gene-Phenotype Associations dataset.

From MPO Gene-Phenotype Associations

gene mutations causing the abnormal adipose tissue distribution phenotype in transgenic mice from the MPO Gene-Phenotype Associations dataset.

From MPO Gene-Phenotype Associations

gene mutations causing the disorganized embryonic tissue phenotype in transgenic mice from the MPO Gene-Phenotype Associations dataset.

From MPO Gene-Phenotype Associations

gene mutations causing the abnormal testis interstitial tissue morphology phenotype in transgenic mice from the MPO Gene-Phenotype Associations dataset.

From MPO Gene-Phenotype Associations

gene mutations causing the adipose tissue phenotype phenotype in transgenic mice from the MPO Gene-Phenotype Associations dataset.

From MPO Gene-Phenotype Associations

gene mutations causing the abnormal white adipose tissue physiology phenotype in transgenic mice from the MPO Gene-Phenotype Associations dataset.

From MPO Gene-Phenotype Associations

gene mutations causing the abnormal oropharyngeal lymphoid tissue morphology phenotype in transgenic mice from the MPO Gene-Phenotype Associations dataset.

From MPO Gene-Phenotype Associations

gene mutations causing the abnormal white adipose tissue morphology phenotype in transgenic mice from the MPO Gene-Phenotype Associations dataset.

From MPO Gene-Phenotype Associations

gene mutations causing the abnormal adipose tissue morphology phenotype in transgenic mice from the MPO Gene-Phenotype Associations dataset.

From MPO Gene-Phenotype Associations

gene mutations causing the increased brown adipose tissue amount phenotype in transgenic mice from the MPO Gene-Phenotype Associations dataset.

From MPO Gene-Phenotype Associations

gene mutations causing the aortic elastic tissue lesions phenotype in transgenic mice from the MPO Gene-Phenotype Associations dataset.

From MPO Gene-Phenotype Associations

gene mutations causing the abnormal cardiac muscle tissue morphology phenotype in transgenic mice from the MPO Gene-Phenotype Associations dataset.

From MPO Gene-Phenotype Associations

gene mutations causing the increased subcutaneous adipose tissue amount phenotype in transgenic mice from the MPO Gene-Phenotype Associations dataset.

From MPO Gene-Phenotype Associations

gene mutations causing the disorganized extraembryonic tissue phenotype in transgenic mice from the MPO Gene-Phenotype Associations dataset.

From MPO Gene-Phenotype Associations

gene mutations causing the abnormal embryonic tissue physiology phenotype in transgenic mice from the MPO Gene-Phenotype Associations dataset.

From MPO Gene-Phenotype Associations

gene mutations causing the abnormal lung tissue damping phenotype in transgenic mice from the MPO Gene-Phenotype Associations dataset.

From MPO Gene-Phenotype Associations

gene mutations causing the decreased white adipose tissue amount phenotype in transgenic mice from the MPO Gene-Phenotype Associations dataset.

From Phosphosite Textmining Biological Term Annotations

proteins co-occuring with the biological term nerve-tissue-proteins in abstracts of publications describing phosphosites from the Phosphosite Textmining Biological Term Annotations dataset.

From TISSUES Curated Tissue Protein Expression Evidence Scores

proteins highly expressed in the tissue soft tissue sarcoma cell from the TISSUES Curated Tissue Protein Expression Evidence Scores dataset.

From TISSUES Curated Tissue Protein Expression Evidence Scores

proteins highly expressed in the tissue brown adipose tissue from the TISSUES Curated Tissue Protein Expression Evidence Scores dataset.

From TISSUES Curated Tissue Protein Expression Evidence Scores

proteins highly expressed in the tissue synovial tissue from the TISSUES Curated Tissue Protein Expression Evidence Scores dataset.

From TISSUES Curated Tissue Protein Expression Evidence Scores

proteins highly expressed in the tissue adipose tissue from the TISSUES Curated Tissue Protein Expression Evidence Scores dataset.

From TISSUES Curated Tissue Protein Expression Evidence Scores

proteins highly expressed in the tissue white adipose tissue from the TISSUES Curated Tissue Protein Expression Evidence Scores dataset.

From TISSUES Curated Tissue Protein Expression Evidence Scores

proteins highly expressed in the tissue abdominal adipose tissue from the TISSUES Curated Tissue Protein Expression Evidence Scores dataset.

From TISSUES Curated Tissue Protein Expression Evidence Scores

proteins highly expressed in the tissue vascular tissue from the TISSUES Curated Tissue Protein Expression Evidence Scores dataset.

From TISSUES Curated Tissue Protein Expression Evidence Scores

proteins highly expressed in the tissue lymphoid tissue from the TISSUES Curated Tissue Protein Expression Evidence Scores dataset.

From TISSUES Curated Tissue Protein Expression Evidence Scores

proteins highly expressed in the tissue rheumatoid arthritis disease specific synovial tissue from the TISSUES Curated Tissue Protein Expression Evidence Scores dataset.

From TISSUES Experimental Tissue Protein Expression Evidence Scores

proteins highly expressed in the tissue vascular tissue in proteomics datasets from the TISSUES Experimental Tissue Protein Expression Evidence Scores dataset.

From TISSUES Experimental Tissue Protein Expression Evidence Scores

proteins highly expressed in the tissue lymphoid tissue in proteomics datasets from the TISSUES Experimental Tissue Protein Expression Evidence Scores dataset.

From TISSUES Experimental Tissue Protein Expression Evidence Scores

proteins highly expressed in the tissue adipose tissue in proteomics datasets from the TISSUES Experimental Tissue Protein Expression Evidence Scores dataset.

From TISSUES Text-mining Tissue Protein Expression Evidence Scores

proteins co-occuring with the tissue brown adipose tissue in abstracts of biomedical publications from the TISSUES Text-mining Tissue Protein Expression Evidence Scores dataset.

From TISSUES Text-mining Tissue Protein Expression Evidence Scores

proteins co-occuring with the tissue storage tissue in abstracts of biomedical publications from the TISSUES Text-mining Tissue Protein Expression Evidence Scores dataset.

From TISSUES Text-mining Tissue Protein Expression Evidence Scores

proteins co-occuring with the tissue extraembryonic tissue in abstracts of biomedical publications from the TISSUES Text-mining Tissue Protein Expression Evidence Scores dataset.

From TISSUES Text-mining Tissue Protein Expression Evidence Scores

proteins co-occuring with the tissue tissue culture in abstracts of biomedical publications from the TISSUES Text-mining Tissue Protein Expression Evidence Scores dataset.

From TISSUES Text-mining Tissue Protein Expression Evidence Scores

proteins co-occuring with the tissue soft tissue sarcoma cell line in abstracts of biomedical publications from the TISSUES Text-mining Tissue Protein Expression Evidence Scores dataset.

From TISSUES Text-mining Tissue Protein Expression Evidence Scores

proteins co-occuring with the tissue rheumatoid arthritis disease specific synovial tissue in abstracts of biomedical publications from the TISSUES Text-mining Tissue Protein Expression Evidence Scores dataset.

From TISSUES Text-mining Tissue Protein Expression Evidence Scores

proteins co-occuring with the tissue trophosome tissue in abstracts of biomedical publications from the TISSUES Text-mining Tissue Protein Expression Evidence Scores dataset.

From TISSUES Text-mining Tissue Protein Expression Evidence Scores

proteins co-occuring with the tissue soft tissue sarcoma cell in abstracts of biomedical publications from the TISSUES Text-mining Tissue Protein Expression Evidence Scores dataset.

From TISSUES Text-mining Tissue Protein Expression Evidence Scores

proteins co-occuring with the tissue intramuscular adipose tissue in abstracts of biomedical publications from the TISSUES Text-mining Tissue Protein Expression Evidence Scores dataset.