| HGNC Family | CD molecules (CD) |
| Name | sialophorin |
| Description | This gene encodes a highly sialylated glycoprotein that functions in antigen-specific activation of T cells, and is found on the surface of thymocytes, T lymphocytes, monocytes, granulocytes, and some B lymphocytes. It contains a mucin-like extracellular domain, a transmembrane region and a carboxy-terminal intracellular region. The extracellular domain has a high proportion of serine and threonine residues, allowing extensive O-glycosylation, and has one potential N-glycosylation site, while the carboxy-terminal region has potential phosphorylation sites that may mediate transduction of activation signals. Different glycoforms of this protein have been described. In stimulated immune cells, proteolytic cleavage of the extracellular domain occurs in some cell types, releasing a soluble extracellular fragment. Defects in expression of this gene are associated with Wiskott-Aldrich syndrome. [provided by RefSeq, Sep 2017] |
| Summary |
{"type": "root", "children": [{"type": "p", "children": [{"type": "t", "text": "\nSPN (also known as CD43 or leukosialin) is an abundant transmembrane sialoglycoprotein that plays multifaceted roles in hematopoietic differentiation and immune cell function. In early hematopoietic development, CD43 serves as a critical marker that distinguishes pre‐committed progenitors from endothelial or mesenchymal cells, reflecting its importance in lineage commitment. Equally, in mature leukocytes its dynamic cell surface expression helps regulate intercellular adhesion, costimulatory signals, apoptosis, and the fine‐tuning of T‐cell receptor–mediated activation through modulation of kinase phosphorylation and adapter recruitment. These integrated signaling processes ultimately influence cytokine production and cell proliferation, ensuring that immune responses are both robust and tightly controlled."}, {"type": "fg", "children": [{"type": "fg_fs", "start_ref": "1", "end_ref": "8"}]}, {"type": "t", "text": "\n"}]}, {"type": "t", "text": "\n\n"}, {"type": "p", "children": [{"type": "t", "text": "\nCD43 also has a central role in host–pathogen interactions and the regulation of inflammation. Bacterial virulence factors—notably the class‐2 SPATE proteases—target CD43 (along with other adhesion receptors) to modulate leukocyte trafficking and dampen chemotaxis. In viral infections, such as those involving HTLV-1 and HIV-1, CD43 is involved in the assembly and incorporation of viral particles as well as the modulation of cell–cell transmission. In addition, proteolytic shedding of CD43 from activated neutrophils by enzymes like cathepsin G alters its extracellular domain, thereby affecting interactions with endothelial molecules and inhibitory receptors (for example, Siglec-7), which in turn regulates immune synapse organization and cytotoxic function."}, {"type": "fg", "children": [{"type": "fg_fs", "start_ref": "9", "end_ref": "16"}]}, {"type": "t", "text": "\n"}]}, {"type": "t", "text": "\n\n"}, {"type": "p", "children": [{"type": "t", "text": "\nIn the context of cancer biology, aberrant expression and glycosylation of CD43 have emerged as key diagnostic and prognostic markers in both hematopoietic and nonhematopoietic malignancies. Altered CD43 expression has been linked to the modulation of cell adhesion, migration, and survival; for instance, its interplay with tumor suppressor pathways (including p53 and ARF) influences apoptotic responses and proliferative control. Moreover, unique CD43 glycoforms (such as those recognized by the UN1 antibody) have been exploited as immunophenotypic targets in lymphoma, colon carcinoma, and other solid tumors, aiding in both differential diagnosis and in stratification of clinical prognosis. These observations emphasize CD43’s dual function as a regulator of intracellular signaling cascades and as a cell surface biomarker that reflects tumor behavior and treatment response."}, {"type": "fg", "children": [{"type": "fg_fs", "start_ref": "17", "end_ref": "32"}]}, {"type": "t", "text": "\n"}]}, {"type": "rg", "children": [{"type": "r", "ref": 1, "children": [{"type": "t", "text": "Lukás Cermák, Sárka Símová, Alexandros Pintzas, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Molecular mechanisms involved in CD43-mediated apoptosis of TF-1 cells. Roles of transcription Daxx expression, and adhesion molecules."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "J Biol Chem (2002)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1074/jbc.M108048200"}], "href": "https://doi.org/10.1074/jbc.M108048200"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "11773067"}], "href": "https://pubmed.ncbi.nlm.nih.gov/11773067"}]}, {"type": "r", "ref": 2, "children": [{"type": "t", "text": "Nicolas Da Silva, Ajit Bharti, Carl S Shelley "}, {"type": "b", "children": [{"type": "t", "text": "hnRNP-K and Pur(alpha) act together to repress the transcriptional activity of the CD43 gene promoter."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Blood (2002)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1182/blood.V100.10.3536"}], "href": "https://doi.org/10.1182/blood.V100.10.3536"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "12411317"}], "href": "https://pubmed.ncbi.nlm.nih.gov/12411317"}]}, {"type": "r", "ref": 3, "children": [{"type": "t", "text": "Fiona E McCann, Bruno Vanherberghen, Konstantina Eleme, et al. 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"}, {"type": "b", "children": [{"type": "t", "text": "An alternative mode of CD43 signal transduction activates pro-survival pathways of T lymphocytes."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Immunology (2017)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1111/imm.12670"}], "href": "https://doi.org/10.1111/imm.12670"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "27606486"}], "href": "https://pubmed.ncbi.nlm.nih.gov/27606486"}]}, {"type": "r", "ref": 28, "children": [{"type": "t", "text": "Chandra Chiappin Cardoso, Mariangeles Auat, Iris Mattos Santos-Pirath, et al. "}, {"type": "b", "children": [{"type": "t", "text": "The importance of CD39, CD43, CD81, and CD95 expression for differentiating B cell lymphoma by flow cytometry."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Cytometry B Clin Cytom (2018)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1002/cyto.b.21533"}], "href": "https://doi.org/10.1002/cyto.b.21533"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "28509416"}], "href": "https://pubmed.ncbi.nlm.nih.gov/28509416"}]}, {"type": "r", "ref": 29, "children": [{"type": "t", "text": "Mesude Falay, Berna Afacan Öztürk, Kürşad Güneş, et al. "}, {"type": "b", "children": [{"type": "t", "text": "The Role of CD200 and CD43 Expression in Differential Diagnosis between Chronic Lymphocytic Leukemia and Mantle Cell Lymphoma."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Turk J Haematol (2018)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.4274/tjh.2017.0085"}], "href": "https://doi.org/10.4274/tjh.2017.0085"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "28713070"}], "href": "https://pubmed.ncbi.nlm.nih.gov/28713070"}]}, {"type": "r", "ref": 30, "children": [{"type": "t", "text": "Bjorn H Batdorf, Steven H Kroft, Paul R Hosking, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Evaluation of CD43 expression in non-hematopoietic malignancies."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Ann Diagn Pathol (2017)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1016/j.anndiagpath.2017.04.010"}], "href": "https://doi.org/10.1016/j.anndiagpath.2017.04.010"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "28807337"}], "href": "https://pubmed.ncbi.nlm.nih.gov/28807337"}]}, {"type": "r", "ref": 31, "children": [{"type": "t", "text": "Xiao-Bo Ma, Yan-Ping Zhong, Yan Zheng, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Coexpression of CD5 and CD43 predicts worse prognosis in diffuse large B-cell lymphoma."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Cancer Med (2018)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1002/cam4.1674"}], "href": "https://doi.org/10.1002/cam4.1674"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "30019388"}], "href": "https://pubmed.ncbi.nlm.nih.gov/30019388"}]}, {"type": "r", "ref": 32, "children": [{"type": "t", "text": "Melissa Oliveira, Paula Laranjeira, Manuela Fortuna, et al. "}, {"type": "b", "children": [{"type": "t", "text": "CD43 and CD49d from the B-Cell Chronic Lymphoproliferative Disorders Diagnostic Panel Are Useful to Detect Erythroid Dysplasia."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Cytometry B Clin Cytom (2019)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1002/cyto.b.21792"}], "href": "https://doi.org/10.1002/cyto.b.21792"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "31157955"}], "href": "https://pubmed.ncbi.nlm.nih.gov/31157955"}]}]}]}
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| Synonyms | CD43, GPL115, GALGP, LSN |
| Proteins | LEUK_HUMAN |
| NCBI Gene ID | 6693 |
| 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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SPN has 4,873 functional associations with biological entities spanning 7 categories (molecular profile, organism, chemical, functional term, phrase or reference, disease, phenotype or trait, cell line, cell type or tissue, gene, protein or microRNA) extracted from 97 datasets.
Click the + buttons to view associations for SPN 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 SPN 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 SPN gene relative to other tissues from the Allen Brain Atlas Adult Mouse Brain Tissue Gene Expression Profiles dataset. | |
| Allen Brain Atlas Developing Human Brain Tissue Gene Expression Profiles by Microarray | tissue samples with high or low expression of SPN gene relative to other tissue samples from the Allen Brain Atlas Developing Human Brain Tissue Gene Expression Profiles by Microarray dataset. | |
| Allen Brain Atlas Prenatal Human Brain Tissue Gene Expression Profiles | tissues with high or low expression of SPN 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 SPN 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 SPN 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 SPN gene relative to other cell types and tissues from the BioGPS Mouse Cell Type and Tissue Gene Expression Profiles dataset. | |
| CCLE Cell Line Gene CNV Profiles | cell lines with high or low copy number of SPN 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 SPN gene relative to other cell lines from the CCLE Cell Line Gene Expression Profiles dataset. | |
| CCLE Cell Line Proteomics | Cell lines associated with SPN protein from the CCLE Cell Line Proteomics dataset. | |
| ChEA Transcription Factor Binding Site Profiles | transcription factor binding site profiles with transcription factor binding evidence at the promoter of SPN gene from the CHEA Transcription Factor Binding Site Profiles dataset. | |
| ChEA Transcription Factor Targets | transcription factors binding the promoter of SPN 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 SPN gene in low- or high-throughput transcription factor functional studies from the CHEA Transcription Factor Targets 2022 dataset. | |
| CMAP Signatures of Differentially Expressed Genes for Small Molecules | small molecule perturbations changing expression of SPN gene from the CMAP Signatures of Differentially Expressed Genes for Small Molecules dataset. | |
| COMPARTMENTS Curated Protein Localization Evidence Scores | cellular components containing SPN protein from the COMPARTMENTS Curated Protein Localization Evidence Scores dataset. | |
| COMPARTMENTS Experimental Protein Localization Evidence Scores | cellular components containing SPN protein in low- or high-throughput protein localization assays from the COMPARTMENTS Experimental Protein Localization Evidence Scores dataset. | |
| COMPARTMENTS Text-mining Protein Localization Evidence Scores | cellular components co-occuring with SPN protein in abstracts of biomedical publications from the COMPARTMENTS Text-mining Protein Localization Evidence Scores dataset. | |
| COSMIC Cell Line Gene CNV Profiles | cell lines with high or low copy number of SPN gene relative to other cell lines from the COSMIC Cell Line Gene CNV Profiles dataset. | |
| COSMIC Cell Line Gene Mutation Profiles | cell lines with SPN gene mutations from the COSMIC Cell Line Gene Mutation Profiles dataset. | |
| CTD Gene-Chemical Interactions | chemicals interacting with SPN gene/protein from the curated CTD Gene-Chemical Interactions dataset. | |
| CTD Gene-Disease Associations | diseases associated with SPN gene/protein from the curated CTD Gene-Disease Associations dataset. | |
| DepMap CRISPR Gene Dependency | cell lines with fitness changed by SPN gene knockdown relative to other cell lines from the DepMap CRISPR Gene Dependency dataset. | |
| DISEASES Text-mining Gene-Disease Association Evidence Scores | diseases co-occuring with SPN 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 SPN 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 SPN gene in GWAS and other genetic association datasets from the DisGeNET Gene-Disease Associations dataset. | |
| DisGeNET Gene-Phenotype Associations | phenotypes associated with SPN gene in GWAS and other genetic association datasets from the DisGeNET Gene-Phenoptype Associations dataset. | |
| ENCODE Histone Modification Site Profiles | histone modification site profiles with high histone modification abundance at SPN 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 SPN gene from the ENCODE Transcription Factor Binding Site Profiles dataset. | |
| ENCODE Transcription Factor Targets | transcription factors binding the promoter of SPN 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 SPN from the ESCAPE Omics Signatures of Genes and Proteins for Stem Cells dataset. | |
| GAD High Level Gene-Disease Associations | diseases associated with SPN 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 SPN gene relative to other cell lines from the GDSC Cell Line Gene Expression Profiles dataset. | |
| GeneRIF Biological Term Annotations | biological terms co-occuring with SPN 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 SPN from the GeneSigDB Published Gene Signatures dataset. | |
| GEO Signatures of Differentially Expressed Genes for Diseases | disease perturbations changing expression of SPN 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 SPN 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 SPN 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 SPN 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 SPN 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 SPN gene from the GEO Signatures of Differentially Expressed Genes for Viral Infections dataset. | |
| GlyGen Glycosylated Proteins | ligands (chemical) binding SPN protein from the GlyGen Glycosylated Proteins dataset. | |
| GO Biological Process Annotations 2023 | biological processes involving SPN gene from the curated GO Biological Process Annotations 2023 dataset. | |
| GO Cellular Component Annotations 2023 | cellular components containing SPN protein from the curated GO Cellular Component Annotations 2023 dataset. | |
| GO Molecular Function Annotations 2023 | molecular functions performed by SPN gene from the curated GO Molecular Function Annotations 2023 dataset. | |
| GTEx Tissue Gene Expression Profiles | tissues with high or low expression of SPN 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 SPN 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 SPN 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 SPN gene relative to other tissue samples from the GTEx Tissue-Specific Aging Signatures dataset. | |
| GWASdb SNP-Disease Associations | diseases associated with SPN gene in GWAS and other genetic association datasets from the GWASdb SNP-Disease Associations dataset. | |
| GWASdb SNP-Phenotype Associations | phenotypes associated with SPN 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 SPN gene relative to other cell lines from the Heiser et al., PNAS, 2011 Cell Line Gene Expression Profiles dataset. | |
| HPA Cell Line Gene Expression Profiles | cell lines with high or low expression of SPN 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 SPN 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 SPN 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 SPN gene relative to other tissue samples from the HPA Tissue Sample Gene Expression Profiles dataset. | |
| Hub Proteins Protein-Protein Interactions | interacting hub proteins for SPN from the curated Hub Proteins Protein-Protein Interactions dataset. | |
| HuBMAP ASCT+B Annotations | cell types associated with SPN gene from the HuBMAP ASCT+B dataset. | |
| HuBMAP ASCT+B Augmented with RNA-seq Coexpression | cell types associated with SPN gene from the HuBMAP ASCT+B Augmented with RNA-seq Coexpression dataset. | |
| HuBMAP Azimuth Cell Type Annotations | cell types associated with SPN gene from the HuBMAP Azimuth Cell Type Annotations dataset. | |
| HuGE Navigator Gene-Phenotype Associations | phenotypes associated with SPN gene by text-mining GWAS publications from the HuGE Navigator Gene-Phenotype Associations dataset. | |
| IMPC Knockout Mouse Phenotypes | phenotypes of mice caused by SPN gene knockout from the IMPC Knockout Mouse Phenotypes dataset. | |
| JASPAR Predicted Transcription Factor Targets | transcription factors regulating expression of SPN gene predicted using known transcription factor binding site motifs from the JASPAR Predicted Transcription Factor Targets dataset. | |
| KEA Substrates of Kinases | kinases that phosphorylate SPN protein from the curated KEA Substrates of Kinases dataset. | |
| KEGG Pathways | pathways involving SPN protein from the KEGG Pathways dataset. | |
| Kinase Library Serine Threonine Kinome Atlas | kinases that phosphorylate SPN protein from the Kinase Library Serine Threonine Atlas dataset. | |
| Klijn et al., Nat. Biotechnol., 2015 Cell Line Gene CNV Profiles | cell lines with high or low copy number of SPN 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 Mutation Profiles | cell lines with SPN 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 SPN 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 SPN gene from the LINCS L1000 CMAP Chemical Perturbations Consensus Signatures dataset. | |
| LINCS L1000 CMAP CRISPR Knockout Consensus Signatures | gene perturbations changing expression of SPN gene from the LINCS L1000 CMAP CRISPR Knockout Consensus Signatures dataset. | |
| LOCATE Curated Protein Localization Annotations | cellular components containing SPN 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 SPN protein from the LOCATE Predicted Protein Localization Annotations dataset. | |
| MGI Mouse Phenotype Associations 2023 | phenotypes of transgenic mice caused by SPN gene mutations from the MGI Mouse Phenotype Associations 2023 dataset. | |
| MiRTarBase microRNA Targets | microRNAs targeting SPN gene in low- or high-throughput microRNA targeting studies from the MiRTarBase microRNA Targets dataset. | |
| MotifMap Predicted Transcription Factor Targets | transcription factors regulating expression of SPN gene predicted using known transcription factor binding site motifs from the MotifMap Predicted Transcription Factor Targets dataset. | |
| MoTrPAC Rat Endurance Exercise Training | tissue samples with high or low expression of SPN gene relative to other tissue samples from the MoTrPAC Rat Endurance Exercise Training dataset. | |
| MPO Gene-Phenotype Associations | phenotypes of transgenic mice caused by SPN gene mutations from the MPO Gene-Phenotype Associations dataset. | |
| MSigDB Cancer Gene Co-expression Modules | co-expressed genes for SPN from the MSigDB Cancer Gene Co-expression Modules dataset. | |
| MSigDB Signatures of Differentially Expressed Genes for Cancer Gene Perturbations | gene perturbations changing expression of SPN gene from the MSigDB Signatures of Differentially Expressed Genes for Cancer Gene Perturbations dataset. | |
| Pathway Commons Protein-Protein Interactions | interacting proteins for SPN from the Pathway Commons Protein-Protein Interactions dataset. | |
| PFOCR Pathway Figure Associations 2023 | pathways involving SPN protein from the PFOCR Pathway Figure Associations 2023 dataset. | |
| PFOCR Pathway Figure Associations 2024 | pathways involving SPN protein from the Wikipathways PFOCR 2024 dataset. | |
| Phosphosite Textmining Biological Term Annotations | biological terms co-occuring with SPN protein in abstracts of publications describing phosphosites from the Phosphosite Textmining Biological Term Annotations dataset. | |
| PhosphoSitePlus Substrates of Kinases | kinases that phosphorylate SPN protein from the curated PhosphoSitePlus Substrates of Kinases dataset. | |
| Reactome Pathways 2014 | pathways involving SPN protein from the Reactome Pathways dataset. | |
| Reactome Pathways 2024 | pathways involving SPN protein from the Reactome Pathways 2024 dataset. | |
| Roadmap Epigenomics Cell and Tissue DNA Methylation Profiles | cell types and tissues with high or low DNA methylation of SPN gene relative to other cell types and tissues from the Roadmap Epigenomics Cell and Tissue DNA Methylation Profiles dataset. | |
| Roadmap Epigenomics Histone Modification Site Profiles | histone modification site profiles with high histone modification abundance at SPN gene from the Roadmap Epigenomics Histone Modification Site Profiles dataset. | |
| Sanger Dependency Map Cancer Cell Line Proteomics | cell lines associated with SPN protein from the Sanger Dependency Map Cancer Cell Line Proteomics dataset. | |
| TargetScan Predicted Conserved microRNA Targets | microRNAs regulating expression of SPN gene predicted using conserved miRNA seed sequences from the TargetScan Predicted Conserved microRNA Targets dataset. | |
| TargetScan Predicted Nonconserved microRNA Targets | microRNAs regulating expression of SPN 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 SPN 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 SPN protein from the TISSUES Curated Tissue Protein Expression Evidence Scores dataset. | |
| TISSUES Experimental Tissue Protein Expression Evidence Scores | tissues with high expression of SPN 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 SPN protein in abstracts of biomedical publications from the TISSUES Text-mining Tissue Protein Expression Evidence Scores dataset. | |
| WikiPathways Pathways 2014 | pathways involving SPN protein from the Wikipathways Pathways 2014 dataset. | |
| WikiPathways Pathways 2024 | pathways involving SPN protein from the WikiPathways Pathways 2024 dataset. | |
