| Name | serine racemase |
| Description | Enables several functions, including L-serine ammonia-lyase activity; PDZ domain binding activity; and heterocyclic compound binding activity. Involved in carboxylic acid metabolic process and response to lipopolysaccharide. Located in cytoplasm and neuronal cell body. [provided by Alliance of Genome Resources, Mar 2025] |
| Summary |
{"type": "root", "children": [{"type": "p", "children": [{"type": "t", "text": "\nSerine racemase (SRR) was initially identified as a diabetes susceptibility gene in genome‐wide association studies, with variants linked to type 2 diabetes mellitus and gestational diabetes. In addition to its cloning and demonstration of active D‐serine production in several peripheral tissues—including placenta and pancreatic cells—SRR has emerged as a candidate contributing to metabolic dysregulation in humans."}, {"type": "fg", "children": [{"type": "fg_fs", "start_ref": "1", "end_ref": "6"}]}, {"type": "t", "text": "\n"}]}, {"type": "t", "text": "\n\n"}, {"type": "p", "children": [{"type": "t", "text": "\nIn the central nervous system, SRR catalyzes the conversion of L‐serine to D‐serine—the critical endogenous co-agonist of N-methyl-D-aspartate (NMDA) receptors that modulates synaptic plasticity, learning, and memory. Alterations in its expression or function have been associated with several neuropsychiatric disorders such as schizophrenia, Alzheimer’s disease progression, and affective dysfunction. Detailed immunohistochemical and functional investigations across different brain regions (including the hippocampus, amygdala, and cortex) underscore the importance of SRR-derived D-serine in mediating NMDA receptor signaling and thereby in the pathophysiology of conditions ranging from NMDA receptor hypofunction to excitotoxic injury."}, {"type": "fg", "children": [{"type": "fg_fs", "start_ref": "7", "end_ref": "16"}]}, {"type": "t", "text": "\n"}]}, {"type": "t", "text": "\n\n"}, {"type": "p", "children": [{"type": "t", "text": "\nExtensive biochemical and structural studies have revealed that SRR exhibits bifunctional activity: it not only racemizes L-serine to form D-serine but also catalyzes an α,β-elimination reaction that degrades both L- and D-serine. This dual-function is regulated by numerous effectors, including ATP, divalent cations, and allosteric ligands such as glycine, which induce conformational rearrangements affecting catalytic specificity and efficiency. Mutagenesis and crystallographic analyses have pinpointed key residues and domains—along with posttranslational modifications like S-nitrosylation—that fine-tune SRR activity, substrate selectivity, and even subcellular localization. These molecular insights provide a structural framework for understanding enzyme inhibition (by substrates, halides, or competing ligands) and for designing potential therapeutic modulators."}, {"type": "fg", "children": [{"type": "fg_fs", "start_ref": "17", "end_ref": "27"}]}, {"type": "t", "text": "\n"}]}, {"type": "t", "text": "\n\n"}, {"type": "p", "children": [{"type": "t", "text": "\nBeyond its classical role in neurotransmission, SRR is expressed in a wide array of peripheral tissues—including heart, kidney, skin, and bone—suggesting additional functions in modulating cellular metabolism, differentiation, and stress responses. Altered SRR expression and activity have been linked to osteosarcoma metastasis, retinal neurotoxicity in excitotoxicity models, and even neuroepithelial stem cell dysfunction in Parkinson’s disease, while interactions with regulatory proteins (for example, FBXO22) further influence its localization and function. Moreover, recent evidence implicates SRR in the pathogenesis of skin barrier dysfunction and pancreatic cancer, highlighting its emerging relevance as both a disease marker and a potential therapeutic target."}, {"type": "fg", "children": [{"type": "fg_fs", "start_ref": "28", "end_ref": "33"}]}, {"type": "t", "text": "\n"}]}, {"type": "rg", "children": [{"type": "r", "ref": 1, "children": [{"type": "t", "text": "Fuu-Jen Tsai, Chi-Fan Yang, Ching-Chu Chen, et al. 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"}, {"type": "b", "children": [{"type": "t", "text": "Faster progression from MCI to probable AD for carriers of a single-nucleotide polymorphism associated with type 2 diabetes."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Neurobiol Aging (2018)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1016/j.neurobiolaging.2017.11.013"}], "href": "https://doi.org/10.1016/j.neurobiolaging.2017.11.013"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "29338921"}], "href": "https://pubmed.ncbi.nlm.nih.gov/29338921"}]}, {"type": "r", "ref": 16, "children": [{"type": "t", "text": "Sandra Van der Auwera, Alexander Teumer, Johannes Hertel, et al. 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"}, {"type": "b", "children": [{"type": "t", "text": "The structure of mammalian serine racemase: evidence for conformational changes upon inhibitor binding."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "J Biol Chem (2010)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1074/jbc.M109.050062"}], "href": "https://doi.org/10.1074/jbc.M109.050062"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "20106978"}], "href": "https://pubmed.ncbi.nlm.nih.gov/20106978"}]}, {"type": "r", "ref": 18, "children": [{"type": "t", "text": "Florian Baumgart, José M Mancheño, Ignacio Rodríguez-Crespo "}, {"type": "b", "children": [{"type": "t", "text": "Insights into the activation of brain serine racemase by the multi-PDZ domain glutamate receptor interacting protein, divalent cations and ATP."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "FEBS J (2007)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1111/j.1742-4658.2007.05986.x"}], "href": "https://doi.org/10.1111/j.1742-4658.2007.05986.x"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "17697119"}], "href": "https://pubmed.ncbi.nlm.nih.gov/17697119"}]}, {"type": "r", "ref": 19, "children": [{"type": "t", "text": "Marialaura Marchetti, Stefano Bruno, Barbara Campanini, et al. 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"}, {"type": "b", "children": [{"type": "t", "text": "The allosteric interplay between S-nitrosylation and glycine binding controls the activity of human serine racemase."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "FEBS J (2021)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1111/febs.15645"}], "href": "https://doi.org/10.1111/febs.15645"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "33249721"}], "href": "https://pubmed.ncbi.nlm.nih.gov/33249721"}]}, {"type": "r", "ref": 25, "children": [{"type": "t", "text": "Wei Wang, Steven W Barger "}, {"type": "b", "children": [{"type": "t", "text": "Roles of quaternary structure and cysteine residues in the activity of human serine racemase."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "BMC Biochem (2011)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1186/1471-2091-12-63"}], "href": "https://doi.org/10.1186/1471-2091-12-63"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "22151352"}], "href": "https://pubmed.ncbi.nlm.nih.gov/22151352"}]}, {"type": "r", "ref": 26, "children": [{"type": "t", "text": "Cyong-Yi Wang, Shan Chi Ku, Cheng-Chung Lee, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Modulating the function of human serine racemase and human serine dehydratase by protein engineering."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Protein Eng Des Sel (2012)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1093/protein/gzs078"}], "href": "https://doi.org/10.1093/protein/gzs078"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "23112234"}], "href": "https://pubmed.ncbi.nlm.nih.gov/23112234"}]}, {"type": "r", "ref": 27, "children": [{"type": "t", "text": "Hua Tao, Xu Zhou, Qian Xie, et al. "}, {"type": "b", "children": [{"type": "t", "text": "SRR intronic variation inhibits expression of its neighbouring SMG6 gene and protects against temporal lobe epilepsy."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "J Cell Mol Med (2018)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1111/jcmm.13473"}], "href": "https://doi.org/10.1111/jcmm.13473"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "29363864"}], "href": "https://pubmed.ncbi.nlm.nih.gov/29363864"}]}, {"type": "r", "ref": 28, "children": [{"type": "t", "text": "Youguang Pu, Fangfang Zhao, Wenjing Cai, et al. "}, {"type": "b", "children": [{"type": "t", "text": "MiR-193a-3p and miR-193a-5p suppress the metastasis of human osteosarcoma cells by down-regulating Rab27B and SRR, respectively."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Clin Exp Metastasis (2016)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1007/s10585-016-9783-0"}], "href": "https://doi.org/10.1007/s10585-016-9783-0"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "26913720"}], "href": "https://pubmed.ncbi.nlm.nih.gov/26913720"}]}, {"type": "r", "ref": 29, "children": [{"type": "t", "text": "Elena Dikopoltsev, Veronika N Foltyn, Martin Zehl, et al. "}, {"type": "b", "children": [{"type": "t", "text": "FBXO22 protein is required for optimal synthesis of the N-methyl-D-aspartate (NMDA) receptor coagonist D-serine."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "J Biol Chem (2014)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1074/jbc.M114.618405"}], "href": "https://doi.org/10.1074/jbc.M114.618405"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "25336657"}], "href": "https://pubmed.ncbi.nlm.nih.gov/25336657"}]}, {"type": "r", "ref": 30, "children": [{"type": "t", "text": "Haiyan Jiang, Xianwei Wang, He Zhang, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Loss-of-function mutation of serine racemase attenuates excitotoxicity by intravitreal injection of N-methyl-D-aspartate."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "J Neurochem (2016)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1111/jnc.13400"}], "href": "https://doi.org/10.1111/jnc.13400"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "26485193"}], "href": "https://pubmed.ncbi.nlm.nih.gov/26485193"}]}, {"type": "r", "ref": 31, "children": [{"type": "t", "text": "Sarah Louise Nickels, Jonas Walter, Silvia Bolognin, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Impaired serine metabolism complements LRRK2-G2019S pathogenicity in PD patients."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Parkinsonism Relat Disord (2019)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1016/j.parkreldis.2019.09.018"}], "href": "https://doi.org/10.1016/j.parkreldis.2019.09.018"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "31621607"}], "href": "https://pubmed.ncbi.nlm.nih.gov/31621607"}]}, {"type": "r", "ref": 32, "children": [{"type": "t", "text": "Yoko Yoshihisa, Mati Ur Rehman, Maho Nakagawa, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Inflammatory cytokine-mediated induction of serine racemase in atopic dermatitis."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "J Cell Mol Med (2018)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1111/jcmm.13592"}], "href": "https://doi.org/10.1111/jcmm.13592"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "29566294"}], "href": "https://pubmed.ncbi.nlm.nih.gov/29566294"}]}, {"type": "r", "ref": 33, "children": [{"type": "t", "text": "Chuan Lan, Yo-Ichi Yamashita, Masayo Tsukamoto, et al. "}, {"type": "b", "children": [{"type": "t", "text": "The Prognostic Role of Serine Racemase in Patients With Pancreatic Cancer: A New Marker in Cancer Metabolism."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Pancreas (2023)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1097/MPA.0000000000002210"}], "href": "https://doi.org/10.1097/MPA.0000000000002210"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "37523600"}], "href": "https://pubmed.ncbi.nlm.nih.gov/37523600"}]}]}]}
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| Synonyms | ILV1 |
| Proteins | SRR_HUMAN |
| NCBI Gene ID | 63826 |
| API | |
| Download Associations | |
| Predicted Functions |
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| Co-expressed Genes |
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| Expression in Tissues and Cell Lines |
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SRR has 6,606 functional associations with biological entities spanning 9 categories (molecular profile, organism, chemical, functional term, phrase or reference, disease, phenotype or trait, structural feature, cell line, cell type or tissue, gene, protein or microRNA, sequence feature) extracted from 120 datasets.
Click the + buttons to view associations for SRR from the datasets below.
If available, associations are ranked by standardized value
| Dataset | Summary | |
|---|---|---|
| Allen Brain Atlas Adult Human Brain Tissue Gene Expression Profiles | tissues with high or low expression of SRR gene relative to other tissues from the Allen Brain Atlas Adult Human Brain Tissue Gene Expression Profiles dataset. | |
| Allen Brain Atlas Adult Mouse Brain Tissue Gene Expression Profiles | tissues with high or low expression of SRR gene relative to other tissues from the Allen Brain Atlas Adult Mouse Brain Tissue Gene Expression Profiles dataset. | |
| Allen Brain Atlas Aging Dementia and Traumatic Brain Injury Tissue Sample Gene Expression Profiles | tissue samples with high or low expression of SRR gene relative to other tissue samples from the Allen Brain Atlas Aging Dementia and Traumatic Brain Injury Tissue Sample Gene Expression Profiles dataset. | |
| Allen Brain Atlas Developing Human Brain Tissue Gene Expression Profiles by Microarray | tissue samples with high or low expression of SRR gene relative to other tissue samples from the Allen Brain Atlas Developing Human Brain Tissue Gene Expression Profiles by Microarray dataset. | |
| Allen Brain Atlas Developing Human Brain Tissue Gene Expression Profiles by RNA-seq | tissue samples with high or low expression of SRR gene relative to other tissue samples from the Allen Brain Atlas Developing Human Brain Tissue Gene Expression Profiles by RNA-seq dataset. | |
| Allen Brain Atlas Prenatal Human Brain Tissue Gene Expression Profiles | tissues with high or low expression of SRR gene relative to other tissues from the Allen Brain Atlas Prenatal Human Brain Tissue Gene Expression Profiles dataset. | |
| BioGPS Cell Line Gene Expression Profiles | cell lines with high or low expression of SRR gene relative to other cell lines from the BioGPS Cell Line Gene Expression Profiles dataset. | |
| BioGPS Human Cell Type and Tissue Gene Expression Profiles | cell types and tissues with high or low expression of SRR gene relative to other cell types and tissues from the BioGPS Human Cell Type and Tissue Gene Expression Profiles dataset. | |
| BioGPS Mouse Cell Type and Tissue Gene Expression Profiles | cell types and tissues with high or low expression of SRR gene relative to other cell types and tissues from the BioGPS Mouse Cell Type and Tissue Gene Expression Profiles dataset. | |
| Carcinogenome Chemical Perturbation Carcinogenicity Signatures | small molecule perturbations changing expression of SRR gene from the Carcinogenome Chemical Perturbation Carcinogenicity Signatures dataset. | |
| CCLE Cell Line Gene CNV Profiles | cell lines with high or low copy number of SRR gene relative to other cell lines from the CCLE Cell Line Gene CNV Profiles dataset. | |
| CCLE Cell Line Gene Expression Profiles | cell lines with high or low expression of SRR gene relative to other cell lines from the CCLE Cell Line Gene Expression Profiles dataset. | |
| CCLE Cell Line Proteomics | Cell lines associated with SRR protein from the CCLE Cell Line Proteomics dataset. | |
| CellMarker Gene-Cell Type Associations | cell types associated with SRR gene from the CellMarker Gene-Cell Type Associations dataset. | |
| ChEA Transcription Factor Binding Site Profiles | transcription factor binding site profiles with transcription factor binding evidence at the promoter of SRR gene from the CHEA Transcription Factor Binding Site Profiles dataset. | |
| ChEA Transcription Factor Targets | transcription factors binding the promoter of SRR gene in low- or high-throughput transcription factor functional studies from the CHEA Transcription Factor Targets dataset. | |
| ChEA Transcription Factor Targets 2022 | transcription factors binding the promoter of SRR gene in low- or high-throughput transcription factor functional studies from the CHEA Transcription Factor Targets 2022 dataset. | |
| CM4AI U2OS Cell Map Protein Localization Assemblies | assemblies containing SRR protein from integrated AP-MS and IF data from the CM4AI U2OS Cell Map Protein Localization Assemblies dataset. | |
| CMAP Signatures of Differentially Expressed Genes for Small Molecules | small molecule perturbations changing expression of SRR gene from the CMAP Signatures of Differentially Expressed Genes for Small Molecules dataset. | |
| COMPARTMENTS Curated Protein Localization Evidence Scores | cellular components containing SRR protein from the COMPARTMENTS Curated Protein Localization Evidence Scores dataset. | |
| COMPARTMENTS Curated Protein Localization Evidence Scores 2025 | cellular components containing SRR protein from the COMPARTMENTS Curated Protein Localization Evidence Scores 2025 dataset. | |
| COMPARTMENTS Text-mining Protein Localization Evidence Scores | cellular components co-occuring with SRR protein in abstracts of biomedical publications from the COMPARTMENTS Text-mining Protein Localization Evidence Scores dataset. | |
| COMPARTMENTS Text-mining Protein Localization Evidence Scores 2025 | cellular components co-occuring with SRR protein in abstracts of biomedical publications from the COMPARTMENTS Text-mining Protein Localization Evidence Scores 2025 dataset. | |
| COSMIC Cell Line Gene Mutation Profiles | cell lines with SRR gene mutations from the COSMIC Cell Line Gene Mutation Profiles dataset. | |
| CTD Gene-Chemical Interactions | chemicals interacting with SRR gene/protein from the curated CTD Gene-Chemical Interactions dataset. | |
| CTD Gene-Disease Associations | diseases associated with SRR gene/protein from the curated CTD Gene-Disease Associations dataset. | |
| dbGAP Gene-Trait Associations | traits associated with SRR gene in GWAS and other genetic association datasets from the dbGAP Gene-Trait Associations dataset. | |
| DeepCoverMOA Drug Mechanisms of Action | small molecule perturbations with high or low expression of SRR protein relative to other small molecule perturbations from the DeepCoverMOA Drug Mechanisms of Action dataset. | |
| DepMap CRISPR Gene Dependency | cell lines with fitness changed by SRR gene knockdown relative to other cell lines from the DepMap CRISPR Gene Dependency dataset. | |
| DISEASES Experimental Gene-Disease Association Evidence Scores | diseases associated with SRR gene in GWAS datasets from the DISEASES Experimental Gene-Disease Assocation Evidence Scores dataset. | |
| DISEASES Experimental Gene-Disease Association Evidence Scores 2025 | diseases associated with SRR gene in GWAS datasets from the DISEASES Experimental Gene-Disease Assocation Evidence Scores 2025 dataset. | |
| DISEASES Text-mining Gene-Disease Association Evidence Scores | diseases co-occuring with SRR gene in abstracts of biomedical publications from the DISEASES Text-mining Gene-Disease Assocation Evidence Scores dataset. | |
| DISEASES Text-mining Gene-Disease Association Evidence Scores 2025 | diseases co-occuring with SRR gene in abstracts of biomedical publications from the DISEASES Text-mining Gene-Disease Assocation Evidence Scores 2025 dataset. | |
| DisGeNET Gene-Disease Associations | diseases associated with SRR gene in GWAS and other genetic association datasets from the DisGeNET Gene-Disease Associations dataset. | |
| DisGeNET Gene-Phenotype Associations | phenotypes associated with SRR gene in GWAS and other genetic association datasets from the DisGeNET Gene-Phenoptype Associations dataset. | |
| DrugBank Drug Targets | interacting drugs for SRR protein from the curated DrugBank Drug Targets dataset. | |
| ENCODE Histone Modification Site Profiles | histone modification site profiles with high histone modification abundance at SRR gene from the ENCODE Histone Modification Site Profiles dataset. | |
| ENCODE Transcription Factor Binding Site Profiles | transcription factor binding site profiles with transcription factor binding evidence at the promoter of SRR gene from the ENCODE Transcription Factor Binding Site Profiles dataset. | |
| ENCODE Transcription Factor Targets | transcription factors binding the promoter of SRR gene in ChIP-seq datasets from the ENCODE Transcription Factor Targets dataset. | |
| ESCAPE Omics Signatures of Genes and Proteins for Stem Cells | PubMedIDs of publications reporting gene signatures containing SRR from the ESCAPE Omics Signatures of Genes and Proteins for Stem Cells dataset. | |
| GAD Gene-Disease Associations | diseases associated with SRR gene in GWAS and other genetic association datasets from the GAD Gene-Disease Associations dataset. | |
| GAD High Level Gene-Disease Associations | diseases associated with SRR gene in GWAS and other genetic association datasets from the GAD High Level Gene-Disease Associations dataset. | |
| GDSC Cell Line Gene Expression Profiles | cell lines with high or low expression of SRR gene relative to other cell lines from the GDSC Cell Line Gene Expression Profiles dataset. | |
| GeneRIF Biological Term Annotations | biological terms co-occuring with SRR gene in literature-supported statements describing functions of genes from the GeneRIF Biological Term Annotations dataset. | |
| GeneSigDB Published Gene Signatures | PubMedIDs of publications reporting gene signatures containing SRR from the GeneSigDB Published Gene Signatures dataset. | |
| GEO Signatures of Differentially Expressed Genes for Diseases | disease perturbations changing expression of SRR gene from the GEO Signatures of Differentially Expressed Genes for Diseases dataset. | |
| GEO Signatures of Differentially Expressed Genes for Gene Perturbations | gene perturbations changing expression of SRR gene from the GEO Signatures of Differentially Expressed Genes for Gene Perturbations dataset. | |
| GEO Signatures of Differentially Expressed Genes for Kinase Perturbations | kinase perturbations changing expression of SRR gene from the GEO Signatures of Differentially Expressed Genes for Kinase Perturbations dataset. | |
| GEO Signatures of Differentially Expressed Genes for Small Molecules | small molecule perturbations changing expression of SRR gene from the GEO Signatures of Differentially Expressed Genes for Small Molecules dataset. | |
| GEO Signatures of Differentially Expressed Genes for Transcription Factor Perturbations | transcription factor perturbations changing expression of SRR gene from the GEO Signatures of Differentially Expressed Genes for Transcription Factor Perturbations dataset. | |
| GEO Signatures of Differentially Expressed Genes for Viral Infections | virus perturbations changing expression of SRR gene from the GEO Signatures of Differentially Expressed Genes for Viral Infections dataset. | |
| GO Biological Process Annotations 2015 | biological processes involving SRR gene from the curated GO Biological Process Annotations 2015 dataset. | |
| GO Biological Process Annotations 2023 | biological processes involving SRR gene from the curated GO Biological Process Annotations 2023 dataset. | |
| GO Biological Process Annotations 2025 | biological processes involving SRR gene from the curated GO Biological Process Annotations2025 dataset. | |
| GO Cellular Component Annotations 2015 | cellular components containing SRR protein from the curated GO Cellular Component Annotations 2015 dataset. | |
| GO Molecular Function Annotations 2015 | molecular functions performed by SRR gene from the curated GO Molecular Function Annotations 2015 dataset. | |
| GO Molecular Function Annotations 2023 | molecular functions performed by SRR gene from the curated GO Molecular Function Annotations 2023 dataset. | |
| GO Molecular Function Annotations 2025 | molecular functions performed by SRR gene from the curated GO Molecular Function Annotations 2025 dataset. | |
| GTEx eQTL 2025 | SNPs regulating expression of SRR gene from the GTEx eQTL 2025 dataset. | |
| GTEx Tissue Gene Expression Profiles | tissues with high or low expression of SRR gene relative to other tissues from the GTEx Tissue Gene Expression Profiles dataset. | |
| GTEx Tissue Gene Expression Profiles 2023 | tissues with high or low expression of SRR gene relative to other tissues from the GTEx Tissue Gene Expression Profiles 2023 dataset. | |
| GTEx Tissue Sample Gene Expression Profiles | tissue samples with high or low expression of SRR gene relative to other tissue samples from the GTEx Tissue Sample Gene Expression Profiles dataset. | |
| GTEx Tissue-Specific Aging Signatures | tissue samples with high or low expression of SRR gene relative to other tissue samples from the GTEx Tissue-Specific Aging Signatures dataset. | |
| GWAS Catalog SNP-Phenotype Associations | phenotypes associated with SRR gene in GWAS datasets from the GWAS Catalog SNP-Phenotype Associations dataset. | |
| GWAS Catalog SNP-Phenotype Associations 2025 | phenotypes associated with SRR gene in GWAS datasets from the GWAS Catalog SNP-Phenotype Associations 2025 dataset. | |
| GWASdb SNP-Disease Associations | diseases associated with SRR gene in GWAS and other genetic association datasets from the GWASdb SNP-Disease Associations dataset. | |
| GWASdb SNP-Phenotype Associations | phenotypes associated with SRR gene in GWAS datasets from the GWASdb SNP-Phenotype Associations dataset. | |
| Heiser et al., PNAS, 2011 Cell Line Gene Expression Profiles | cell lines with high or low expression of SRR gene relative to other cell lines from the Heiser et al., PNAS, 2011 Cell Line Gene Expression Profiles dataset. | |
| HMDB Metabolites of Enzymes | interacting metabolites for SRR protein from the curated HMDB Metabolites of Enzymes dataset. | |
| HPA Cell Line Gene Expression Profiles | cell lines with high or low expression of SRR gene relative to other cell lines from the HPA Cell Line Gene Expression Profiles dataset. | |
| HPA Tissue Gene Expression Profiles | tissues with high or low expression of SRR gene relative to other tissues from the HPA Tissue Gene Expression Profiles dataset. | |
| HPA Tissue Protein Expression Profiles | tissues with high or low expression of SRR protein relative to other tissues from the HPA Tissue Protein Expression Profiles dataset. | |
| HPA Tissue Sample Gene Expression Profiles | tissue samples with high or low expression of SRR gene relative to other tissue samples from the HPA Tissue Sample Gene Expression Profiles dataset. | |
| Hub Proteins Protein-Protein Interactions | interacting hub proteins for SRR from the curated Hub Proteins Protein-Protein Interactions dataset. | |
| HuGE Navigator Gene-Phenotype Associations | phenotypes associated with SRR gene by text-mining GWAS publications from the HuGE Navigator Gene-Phenotype Associations dataset. | |
| HumanCyc Pathways | pathways involving SRR protein from the HumanCyc Pathways dataset. | |
| IMPC Knockout Mouse Phenotypes | phenotypes of mice caused by SRR gene knockout from the IMPC Knockout Mouse Phenotypes dataset. | |
| InterPro Predicted Protein Domain Annotations | protein domains predicted for SRR protein from the InterPro Predicted Protein Domain Annotations dataset. | |
| JASPAR Predicted Human Transcription Factor Targets 2025 | transcription factors regulating expression of SRR gene predicted using known transcription factor binding site motifs from the JASPAR Predicted Human Transcription Factor Targets dataset. | |
| JASPAR Predicted Mouse Transcription Factor Targets 2025 | transcription factors regulating expression of SRR gene predicted using known transcription factor binding site motifs from the JASPAR Predicted Mouse Transcription Factor Targets 2025 dataset. | |
| JASPAR Predicted Transcription Factor Targets | transcription factors regulating expression of SRR gene predicted using known transcription factor binding site motifs from the JASPAR Predicted Transcription Factor Targets dataset. | |
| KEGG Pathways 2026 | pathways involving SRR protein from the KEGG Pathways 2026 dataset. | |
| Klijn et al., Nat. Biotechnol., 2015 Cell Line Gene CNV Profiles | cell lines with high or low copy number of SRR gene relative to other cell lines from the Klijn et al., Nat. Biotechnol., 2015 Cell Line Gene CNV Profiles dataset. | |
| Klijn et al., Nat. Biotechnol., 2015 Cell Line Gene Expression Profiles | cell lines with high or low expression of SRR gene relative to other cell lines from the Klijn et al., Nat. Biotechnol., 2015 Cell Line Gene Expression Profiles dataset. | |
| Klijn et al., Nat. Biotechnol., 2015 Cell Line Gene Mutation Profiles | cell lines with SRR gene mutations from the Klijn et al., Nat. Biotechnol., 2015 Cell Line Gene Mutation Profiles dataset. | |
| KnockTF Gene Expression Profiles with Transcription Factor Perturbations | transcription factor perturbations changing expression of SRR gene from the KnockTF Gene Expression Profiles with Transcription Factor Perturbations dataset. | |
| LINCS L1000 CMAP Chemical Perturbation Consensus Signatures | small molecule perturbations changing expression of SRR gene from the LINCS L1000 CMAP Chemical Perturbations Consensus Signatures dataset. | |
| LINCS L1000 CMAP CRISPR Knockout Consensus Signatures | gene perturbations changing expression of SRR gene from the LINCS L1000 CMAP CRISPR Knockout Consensus Signatures dataset. | |
| LOCATE Curated Protein Localization Annotations | cellular components containing SRR protein in low- or high-throughput protein localization assays from the LOCATE Curated Protein Localization Annotations dataset. | |
| LOCATE Predicted Protein Localization Annotations | cellular components predicted to contain SRR protein from the LOCATE Predicted Protein Localization Annotations dataset. | |
| MGI Mouse Phenotype Associations 2023 | phenotypes of transgenic mice caused by SRR gene mutations from the MGI Mouse Phenotype Associations 2023 dataset. | |
| MotifMap Predicted Transcription Factor Targets | transcription factors regulating expression of SRR gene predicted using known transcription factor binding site motifs from the MotifMap Predicted Transcription Factor Targets dataset. | |
| MPO Gene-Phenotype Associations | phenotypes of transgenic mice caused by SRR gene mutations from the MPO Gene-Phenotype Associations dataset. | |
| MSigDB Signatures of Differentially Expressed Genes for Cancer Gene Perturbations | gene perturbations changing expression of SRR gene from the MSigDB Signatures of Differentially Expressed Genes for Cancer Gene Perturbations dataset. | |
| MW Enzyme Metabolite Associations | interacting metabolites for SRR protein from the MW Gene Metabolite Associations dataset. | |
| NIBR DRUG-seq U2OS MoA Box Gene Expression Profiles | drug perturbations changing expression of SRR gene from the NIBR DRUG-seq U2OS MoA Box dataset. | |
| Pathway Commons Protein-Protein Interactions | interacting proteins for SRR from the Pathway Commons Protein-Protein Interactions dataset. | |
| PerturbAtlas Signatures of Differentially Expressed Genes for Gene Perturbations | gene perturbations changing expression of SRR gene from the PerturbAtlas Signatures of Differentially Expressed Genes for Gene Perturbations dataset. | |
| PerturbAtlas Signatures of Differentially Expressed Genes for Mouse Gene Perturbations | gene perturbations changing expression of SRR gene from the PerturbAtlas Signatures of Differentially Expressed Genes for Gene Perturbations dataset. | |
| PFOCR Pathway Figure Associations 2023 | pathways involving SRR protein from the PFOCR Pathway Figure Associations 2023 dataset. | |
| PFOCR Pathway Figure Associations 2024 | pathways involving SRR protein from the Wikipathways PFOCR 2024 dataset. | |
| Phosphosite Textmining Biological Term Annotations | biological terms co-occuring with SRR protein in abstracts of publications describing phosphosites from the Phosphosite Textmining Biological Term Annotations dataset. | |
| Reactome Pathways 2024 | pathways involving SRR protein from the Reactome Pathways 2024 dataset. | |
| Replogle et al., Cell, 2022 RPE1 Essential Perturb-seq Gene Perturbation Signatures | gene perturbations changing expression of SRR gene from the Replogle et al., Cell, 2022 RPE1 Essential Perturb-seq Gene Perturbation Signatures dataset. | |
| Roadmap Epigenomics Cell and Tissue DNA Methylation Profiles | cell types and tissues with high or low DNA methylation of SRR gene relative to other cell types and tissues from the Roadmap Epigenomics Cell and Tissue DNA Methylation Profiles dataset. | |
| Roadmap Epigenomics Cell and Tissue Gene Expression Profiles | cell types and tissues with high or low expression of SRR gene relative to other cell types and tissues from the Roadmap Epigenomics Cell and Tissue Gene Expression Profiles dataset. | |
| Roadmap Epigenomics Histone Modification Site Profiles | histone modification site profiles with high histone modification abundance at SRR gene from the Roadmap Epigenomics Histone Modification Site Profiles dataset. | |
| RummaGEO Drug Perturbation Signatures | drug perturbations changing expression of SRR gene from the RummaGEO Drug Perturbation Signatures dataset. | |
| RummaGEO Gene Perturbation Signatures | gene perturbations changing expression of SRR gene from the RummaGEO Gene Perturbation Signatures dataset. | |
| Sanger Dependency Map Cancer Cell Line Proteomics | cell lines associated with SRR protein from the Sanger Dependency Map Cancer Cell Line Proteomics dataset. | |
| Sci-Plex Drug Perturbation Signatures | drug perturbations changing expression of SRR gene from the Sci-Plex Drug Perturbation Signatures dataset. | |
| TargetScan Predicted Conserved microRNA Targets | microRNAs regulating expression of SRR gene predicted using conserved miRNA seed sequences from the TargetScan Predicted Conserved microRNA Targets dataset. | |
| TargetScan Predicted Nonconserved microRNA Targets | microRNAs regulating expression of SRR gene predicted using nonconserved miRNA seed sequences from the TargetScan Predicted Nonconserved microRNA Targets dataset. | |
| TCGA Signatures of Differentially Expressed Genes for Tumors | tissue samples with high or low expression of SRR gene relative to other tissue samples from the TCGA Signatures of Differentially Expressed Genes for Tumors dataset. | |
| TISSUES Curated Tissue Protein Expression Evidence Scores | tissues with high expression of SRR protein from the TISSUES Curated Tissue Protein Expression Evidence Scores dataset. | |
| TISSUES Curated Tissue Protein Expression Evidence Scores 2025 | tissues with high expression of SRR protein from the TISSUES Curated Tissue Protein Expression Evidence Scores 2025 dataset. | |
| TISSUES Experimental Tissue Protein Expression Evidence Scores | tissues with high expression of SRR protein in proteomics datasets from the TISSUES Experimental Tissue Protein Expression Evidence Scores dataset. | |
| TISSUES Text-mining Tissue Protein Expression Evidence Scores | tissues co-occuring with SRR protein in abstracts of biomedical publications from the TISSUES Text-mining Tissue Protein Expression Evidence Scores dataset. | |
| TISSUES Text-mining Tissue Protein Expression Evidence Scores 2025 | tissues co-occuring with SRR protein in abstracts of biomedical publications from the TISSUES Text-mining Tissue Protein Expression Evidence Scores 2025 dataset. | |
| WikiPathways Pathways 2024 | pathways involving SRR protein from the WikiPathways Pathways 2024 dataset. | |