| HGNC Family | S100 calcium binding proteins (S100), EF-hand domain containing |
| Name | S100 calcium binding protein P |
| Description | The protein encoded by this gene is a member of the S100 family of proteins containing 2 EF-hand calcium-binding motifs. S100 proteins are localized in the cytoplasm and/or nucleus of a wide range of cells, and involved in the regulation of a number of cellular processes such as cell cycle progression and differentiation. S100 genes include at least 13 members which are located as a cluster on chromosome 1q21; however, this gene is located at 4p16. This protein, in addition to binding Ca2+, also binds Zn2+ and Mg2+. This protein may play a role in the etiology of prostate cancer. [provided by RefSeq, Jul 2008] |
| Summary |
{"type": "root", "children": [{"type": "p", "children": [{"type": "t", "text": "\nS100P is a member of the S100 family of calcium‐binding proteins that has emerged as an important mediator in cancer biology. It can be secreted into the extracellular milieu where it binds to the receptor for advanced glycation end‐products (RAGE), thereby triggering downstream signaling cascades—such as the activation of extracellular signal–regulated kinases and NF‐κB—that promote cell proliferation and survival. Epigenetic alterations, including promoter hypomethylation, contribute to its aberrant expression early in tumorigenesis, particularly in pancreatic cancer, where elevated S100P levels have been linked to enhanced autocrine signaling."}, {"type": "fg", "children": [{"type": "fg_fs", "start_ref": "1", "end_ref": "4"}]}, {"type": "t", "text": "\n"}]}, {"type": "t", "text": "\n\n"}, {"type": "p", "children": [{"type": "t", "text": "\nBeyond its role in stimulating proliferation, S100P plays a critical part in tumor cell migration, invasion, and metastasis. In pancreatic cancer, for instance, S100P interacts in a calcium‐dependent manner with novel binding proteins (such as S100PBPR) and alters the expression and organization of cytoskeletal proteins to facilitate invasion. S100P has also been shown to associate with major cytoskeletal regulators including IQGAP1 and ezrin, thereby modifying cell adhesion dynamics and focal adhesion turnover. Transcriptional regulators like SOX9 and redox‐dependent factors such as thioredoxin-1 further amplify a positive feedback loop that sustains S100P expression, promoting metastatic potential in colon and other cancers; indeed, silencing S100P in colon cancer cells results in significant impairment of cell growth, migration, and invasion."}, {"type": "fg", "children": [{"type": "fg_fs", "start_ref": "5", "end_ref": "10"}]}, {"type": "t", "text": "\n"}]}, {"type": "t", "text": "\n\n"}, {"type": "p", "children": [{"type": "t", "text": "\nIn addition, S100P overexpression has been correlated with poor prognostic parameters in several tumor types. In prostate cancer, its upregulation appears to stimulate androgen receptor expression, thereby promoting tumor growth and chemoresistance; in cholangiocarcinoma, elevated S100P correlates with increased vascular and lymphatic invasion. Moreover, S100P has been implicated as a circulating marker—in part due to its role as a RAGE ligand—in conditions such as acute coronary syndrome and is even a component of a group of metastasis-inducing proteins evident in endometriosis. Interestingly, pharmacologic agents such as non-steroidal anti-inflammatory drugs may upregulate S100P expression in gastric carcinoma through endoplasmic reticulum stress pathways, potentially reducing their anti-tumor efficacy."}, {"type": "fg", "children": [{"type": "fg_fs", "start_ref": "11", "end_ref": "19"}]}, {"type": "t", "text": "\n"}]}, {"type": "rg", "children": [{"type": "r", "ref": 1, "children": [{"type": "t", "text": "Thiruvengadam Arumugam, Diane M Simeone, Ann Marie Schmidt, et al. "}, {"type": "b", "children": [{"type": "t", "text": "S100P stimulates cell proliferation and survival via receptor for activated glycation end products (RAGE)."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "J Biol Chem (2004)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1074/jbc.M310124200"}], "href": "https://doi.org/10.1074/jbc.M310124200"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "14617629"}], "href": "https://pubmed.ncbi.nlm.nih.gov/14617629"}]}, {"type": "r", "ref": 2, "children": [{"type": "t", "text": "Norihiro Sato, Noriyoshi Fukushima, Hiroyuki Matsubayashi, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Identification of maspin and S100P as novel hypomethylation targets in pancreatic cancer using global gene expression profiling."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Oncogene (2004)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1038/sj.onc.1207269"}], "href": "https://doi.org/10.1038/sj.onc.1207269"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "14716296"}], "href": "https://pubmed.ncbi.nlm.nih.gov/14716296"}]}, {"type": "r", "ref": 3, "children": [{"type": "t", "text": "Thiruvengadam Arumugam, Diane M Simeone, Kenneth Van Golen, et al. "}, {"type": "b", "children": [{"type": "t", "text": "S100P promotes pancreatic cancer growth, survival, and invasion."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Clin Cancer Res (2005)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1158/1078-0432.CCR-05-0092"}], "href": "https://doi.org/10.1158/1078-0432.CCR-05-0092"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "16061848"}], "href": "https://pubmed.ncbi.nlm.nih.gov/16061848"}]}, {"type": "r", "ref": 4, "children": [{"type": "t", "text": "Kenoki Ohuchida, Kazuhiro Mizumoto, Takuya Egami, et al. "}, {"type": "b", "children": [{"type": "t", "text": "S100P is an early developmental marker of pancreatic carcinogenesis."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Clin Cancer Res (2006)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1158/1078-0432.CCR-06-0298"}], "href": "https://doi.org/10.1158/1078-0432.CCR-06-0298"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "17000674"}], "href": "https://pubmed.ncbi.nlm.nih.gov/17000674"}]}, {"type": "r", "ref": 5, "children": [{"type": "t", "text": "Sally E Dowen, Tatjana Crnogorac-Jurcevic, Rathi Gangeswaran, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Expression of S100P and its novel binding partner S100PBPR in early pancreatic cancer."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Am J Pathol (2005)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1016/S0002-9440(10)62234-1"}], "href": "https://doi.org/10.1016/S0002-9440(10"}, {"type": "t", "text": "62234-1) PMID: "}, {"type": "a", "children": [{"type": "t", "text": "15632002"}], "href": "https://pubmed.ncbi.nlm.nih.gov/15632002"}]}, {"type": "r", "ref": 6, "children": [{"type": "t", "text": "Hannah J Whiteman, Mark E Weeks, Sally E Dowen, et al. "}, {"type": "b", "children": [{"type": "t", "text": "The role of S100P in the invasion of pancreatic cancer cells is mediated through cytoskeletal changes and regulation of cathepsin D."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Cancer Res (2007)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1158/0008-5472.CAN-07-0545"}], "href": "https://doi.org/10.1158/0008-5472.CAN-07-0545"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "17875703"}], "href": "https://pubmed.ncbi.nlm.nih.gov/17875703"}]}, {"type": "r", "ref": 7, "children": [{"type": "t", "text": "Annika Heil, Ali Reza Nazmi, Max Koltzscher, et al. "}, {"type": "b", "children": [{"type": "t", "text": "S100P is a novel interaction partner and regulator of IQGAP1."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "J Biol Chem (2011)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1074/jbc.M110.135095"}], "href": "https://doi.org/10.1074/jbc.M110.135095"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "21177863"}], "href": "https://pubmed.ncbi.nlm.nih.gov/21177863"}]}, {"type": "r", "ref": 8, "children": [{"type": "t", "text": "Zhiyong Shen, Haijun Deng, Yuan Fang, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Identification of the interplay between SOX9 and S100P in the metastasis and invasion of colon carcinoma."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Oncotarget (2015)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.18632/oncotarget.3967"}], "href": "https://doi.org/10.18632/oncotarget.3967"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "26009899"}], "href": "https://pubmed.ncbi.nlm.nih.gov/26009899"}]}, {"type": "r", "ref": 9, "children": [{"type": "t", "text": "Lei Jiang, Yiu-Kay Lai, Jinfang Zhang, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Targeting S100P inhibits colon cancer growth and metastasis by Lentivirus-mediated RNA interference and proteomic analysis."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Mol Med (2011)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.2119/molmed.2011.00008"}], "href": "https://doi.org/10.2119/molmed.2011.00008"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "21327297"}], "href": "https://pubmed.ncbi.nlm.nih.gov/21327297"}]}, {"type": "r", "ref": 10, "children": [{"type": "t", "text": "Sayka Barry, Claude Chelala, Kate Lines, et al. "}, {"type": "b", "children": [{"type": "t", "text": "S100P is a metastasis-associated gene that facilitates transendothelial migration of pancreatic cancer cells."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Clin Exp Metastasis (2013)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1007/s10585-012-9532-y"}], "href": "https://doi.org/10.1007/s10585-012-9532-y"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "23007696"}], "href": "https://pubmed.ncbi.nlm.nih.gov/23007696"}]}, {"type": "r", "ref": 11, "children": [{"type": "t", "text": "Q Wang, M Williamson, S Bott, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Hypomethylation of WNT5A, CRIP1 and S100P in prostate cancer."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Oncogene (2007)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1038/sj.onc.1210472"}], "href": "https://doi.org/10.1038/sj.onc.1210472"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "17486081"}], "href": "https://pubmed.ncbi.nlm.nih.gov/17486081"}]}, {"type": "r", "ref": 12, "children": [{"type": "t", "text": "Gargi D Basu, David O Azorsa, Jeffrey A Kiefer, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Functional evidence implicating S100P in prostate cancer progression."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Int J Cancer (2008)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1002/ijc.23447"}], "href": "https://doi.org/10.1002/ijc.23447"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "18452169"}], "href": "https://pubmed.ncbi.nlm.nih.gov/18452169"}]}, {"type": "r", "ref": 13, "children": [{"type": "t", "text": "Takushi Namba, Takashi Homan, Tomoko Nishimura, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Up-regulation of S100P expression by non-steroidal anti-inflammatory drugs and its role in anti-tumorigenic effects."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "J Biol Chem (2009)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1074/jbc.M806051200"}], "href": "https://doi.org/10.1074/jbc.M806051200"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "19073601"}], "href": "https://pubmed.ncbi.nlm.nih.gov/19073601"}]}, {"type": "r", "ref": 14, "children": [{"type": "t", "text": "Shinichi Aishima, Nobuhiro Fujita, Yohei Mano, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Different roles of S100P overexpression in intrahepatic cholangiocarcinoma: carcinogenesis of perihilar type and aggressive behavior of peripheral type."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Am J Surg Pathol (2011)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1097/PAS.0b013e31820ffdf1"}], "href": "https://doi.org/10.1097/PAS.0b013e31820ffdf1"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "21412073"}], "href": "https://pubmed.ncbi.nlm.nih.gov/21412073"}]}, {"type": "r", "ref": 15, "children": [{"type": "t", "text": "Xue Ying Cai, Lin Lu, Ya Nan Wang, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Association of increased S100B, S100A6 and S100P in serum levels with acute coronary syndrome and also with the severity of myocardial infarction in cardiac tissue of rat models with ischemia-reperfusion injury."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Atherosclerosis (2011)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1016/j.atherosclerosis.2011.05.023"}], "href": "https://doi.org/10.1016/j.atherosclerosis.2011.05.023"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "21663912"}], "href": "https://pubmed.ncbi.nlm.nih.gov/21663912"}]}, {"type": "r", "ref": 16, "children": [{"type": "t", "text": "D K Hapangama, R S Raju, A J Valentijn, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Aberrant expression of metastasis-inducing proteins in ectopic and matched eutopic endometrium of women with endometriosis: implications for the pathogenesis of endometriosis."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Hum Reprod (2012)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1093/humrep/der412"}], "href": "https://doi.org/10.1093/humrep/der412"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "22147918"}], "href": "https://pubmed.ncbi.nlm.nih.gov/22147918"}]}, {"type": "r", "ref": 17, "children": [{"type": "t", "text": "Min Du, Guozheng Wang, Thamir M Ismail, et al. "}, {"type": "b", "children": [{"type": "t", "text": "S100P dissociates myosin IIA filaments and focal adhesion sites to reduce cell adhesion and enhance cell migration."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "J Biol Chem (2012)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1074/jbc.M112.349787"}], "href": "https://doi.org/10.1074/jbc.M112.349787"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "22399300"}], "href": "https://pubmed.ncbi.nlm.nih.gov/22399300"}]}, {"type": "r", "ref": 18, "children": [{"type": "t", "text": "Ming-Hsien Chien, Wei-Jiunn Lee, Feng-Koo Hsieh, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Keap1-Nrf2 Interaction Suppresses Cell Motility in Lung Adenocarcinomas by Targeting the S100P Protein."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Clin Cancer Res (2015)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1158/1078-0432.CCR-14-2880"}], "href": "https://doi.org/10.1158/1078-0432.CCR-14-2880"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "26078391"}], "href": "https://pubmed.ncbi.nlm.nih.gov/26078391"}]}, {"type": "r", "ref": 19, "children": [{"type": "t", "text": "Feiyan Lin, Peili Zhang, Zhigui Zuo, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Thioredoxin-1 promotes colorectal cancer invasion and metastasis through crosstalk with S100P."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Cancer Lett (2017)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1016/j.canlet.2017.04.036"}], "href": "https://doi.org/10.1016/j.canlet.2017.04.036"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "28483515"}], "href": "https://pubmed.ncbi.nlm.nih.gov/28483515"}]}]}]}
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| Synonyms | MIG9 |
| Proteins | S100P_HUMAN |
| NCBI Gene ID | 6286 |
| 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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S100P has 12,611 functional associations with biological entities spanning 8 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) extracted from 96 datasets.
Click the + buttons to view associations for S100P 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 S100P gene relative to other tissues from the Allen Brain Atlas Adult Human 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 S100P 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 S100P 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 S100P 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 S100P gene relative to other cell types and tissues from the BioGPS Human Cell Type and Tissue Gene Expression Profiles dataset. | |
| CCLE Cell Line Gene CNV Profiles | cell lines with high or low copy number of S100P 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 S100P gene relative to other cell lines from the CCLE Cell Line Gene Expression Profiles dataset. | |
| CCLE Cell Line Proteomics | Cell lines associated with S100P protein from the CCLE Cell Line Proteomics dataset. | |
| CellMarker Gene-Cell Type Associations | cell types associated with S100P 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 S100P gene from the CHEA Transcription Factor Binding Site Profiles dataset. | |
| ChEA Transcription Factor Targets | transcription factors binding the promoter of S100P 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 S100P 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 S100P gene from the CMAP Signatures of Differentially Expressed Genes for Small Molecules dataset. | |
| COMPARTMENTS Curated Protein Localization Evidence Scores | cellular components containing S100P protein from the COMPARTMENTS Curated Protein Localization Evidence Scores dataset. | |
| COMPARTMENTS Curated Protein Localization Evidence Scores 2025 | cellular components containing S100P protein from the COMPARTMENTS Curated Protein Localization Evidence Scores 2025 dataset. | |
| COMPARTMENTS Text-mining Protein Localization Evidence Scores | cellular components co-occuring with S100P 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 S100P protein in abstracts of biomedical publications from the COMPARTMENTS Text-mining Protein Localization Evidence Scores 2025 dataset. | |
| COSMIC Cell Line Gene CNV Profiles | cell lines with high or low copy number of S100P gene relative to other cell lines from the COSMIC Cell Line Gene CNV Profiles dataset. | |
| COSMIC Cell Line Gene Mutation Profiles | cell lines with S100P gene mutations from the COSMIC Cell Line Gene Mutation Profiles dataset. | |
| CTD Gene-Chemical Interactions | chemicals interacting with S100P gene/protein from the curated CTD Gene-Chemical Interactions dataset. | |
| CTD Gene-Disease Associations | diseases associated with S100P gene/protein from the curated CTD Gene-Disease Associations dataset. | |
| DepMap CRISPR Gene Dependency | cell lines with fitness changed by S100P 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 S100P 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 S100P 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 S100P gene in GWAS and other genetic association datasets from the DisGeNET Gene-Disease Associations dataset. | |
| DrugBank Drug Targets | interacting drugs for S100P protein from the curated DrugBank Drug Targets dataset. | |
| ENCODE Histone Modification Site Profiles | histone modification site profiles with high histone modification abundance at S100P 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 S100P gene from the ENCODE Transcription Factor Binding Site Profiles dataset. | |
| ENCODE Transcription Factor Targets | transcription factors binding the promoter of S100P gene in ChIP-seq datasets from the ENCODE Transcription Factor Targets dataset. | |
| GeneRIF Biological Term Annotations | biological terms co-occuring with S100P 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 S100P from the GeneSigDB Published Gene Signatures dataset. | |
| GEO Signatures of Differentially Expressed Genes for Diseases | disease perturbations changing expression of S100P 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 S100P 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 S100P 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 S100P 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 S100P 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 S100P gene from the GEO Signatures of Differentially Expressed Genes for Viral Infections dataset. | |
| GO Biological Process Annotations 2015 | biological processes involving S100P gene from the curated GO Biological Process Annotations 2015 dataset. | |
| GO Biological Process Annotations 2023 | biological processes involving S100P gene from the curated GO Biological Process Annotations 2023 dataset. | |
| GO Biological Process Annotations 2025 | biological processes involving S100P gene from the curated GO Biological Process Annotations2025 dataset. | |
| GO Cellular Component Annotations 2015 | cellular components containing S100P protein from the curated GO Cellular Component Annotations 2015 dataset. | |
| GO Cellular Component Annotations 2023 | cellular components containing S100P protein from the curated GO Cellular Component Annotations 2023 dataset. | |
| GO Cellular Component Annotations 2025 | cellular components containing S100P protein from the curated GO Cellular Component Annotations 2025 dataset. | |
| GO Molecular Function Annotations 2015 | molecular functions performed by S100P gene from the curated GO Molecular Function Annotations 2015 dataset. | |
| GO Molecular Function Annotations 2023 | molecular functions performed by S100P gene from the curated GO Molecular Function Annotations 2023 dataset. | |
| GO Molecular Function Annotations 2025 | molecular functions performed by S100P gene from the curated GO Molecular Function Annotations 2025 dataset. | |
| GTEx Tissue Gene Expression Profiles | tissues with high or low expression of S100P 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 S100P 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 S100P gene relative to other tissue samples from the GTEx Tissue Sample Gene Expression Profiles dataset. | |
| GWAS Catalog SNP-Phenotype Associations | phenotypes associated with S100P gene in GWAS datasets from the GWAS Catalog SNP-Phenotype Associations dataset. | |
| GWASdb SNP-Disease Associations | diseases associated with S100P gene in GWAS and other genetic association datasets from the GWASdb SNP-Disease Associations dataset. | |
| GWASdb SNP-Phenotype Associations | phenotypes associated with S100P 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 S100P 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 S100P protein from the curated HMDB Metabolites of Enzymes dataset. | |
| HPA Cell Line Gene Expression Profiles | cell lines with high or low expression of S100P 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 S100P 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 S100P 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 S100P gene relative to other tissue samples from the HPA Tissue Sample Gene Expression Profiles dataset. | |
| HuBMAP Azimuth Cell Type Annotations | cell types associated with S100P gene from the HuBMAP Azimuth Cell Type Annotations dataset. | |
| InterPro Predicted Protein Domain Annotations | protein domains predicted for S100P protein from the InterPro Predicted Protein Domain Annotations dataset. | |
| JASPAR Predicted Transcription Factor Targets | transcription factors regulating expression of S100P gene predicted using known transcription factor binding site motifs from the JASPAR Predicted Transcription Factor Targets dataset. | |
| Klijn et al., Nat. Biotechnol., 2015 Cell Line Gene CNV Profiles | cell lines with high or low copy number of S100P 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 S100P 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 S100P 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 S100P gene from the LINCS L1000 CMAP Chemical Perturbations Consensus Signatures dataset. | |
| LINCS L1000 CMAP CRISPR Knockout Consensus Signatures | gene perturbations changing expression of S100P gene from the LINCS L1000 CMAP CRISPR Knockout Consensus Signatures dataset. | |
| LINCS L1000 CMAP Signatures of Differentially Expressed Genes for Small Molecules | small molecule perturbations changing expression of S100P gene from the LINCS L1000 CMAP Signatures of Differentially Expressed Genes for Small Molecules dataset. | |
| LOCATE Curated Protein Localization Annotations | cellular components containing S100P 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 S100P protein from the LOCATE Predicted Protein Localization Annotations dataset. | |
| MiRTarBase microRNA Targets | microRNAs targeting S100P 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 S100P gene predicted using known transcription factor binding site motifs from the MotifMap Predicted Transcription Factor Targets dataset. | |
| MSigDB Signatures of Differentially Expressed Genes for Cancer Gene Perturbations | gene perturbations changing expression of S100P gene from the MSigDB Signatures of Differentially Expressed Genes for Cancer Gene Perturbations dataset. | |
| NIBR DRUG-seq U2OS MoA Box Gene Expression Profiles | drug perturbations changing expression of S100P gene from the NIBR DRUG-seq U2OS MoA Box dataset. | |
| NURSA Protein Complexes | protein complexs containing S100P protein recovered by IP-MS from the NURSA Protein Complexes dataset. | |
| Pathway Commons Protein-Protein Interactions | interacting proteins for S100P from the Pathway Commons Protein-Protein Interactions dataset. | |
| PerturbAtlas Signatures of Differentially Expressed Genes for Gene Perturbations | gene perturbations changing expression of S100P gene from the PerturbAtlas Signatures of Differentially Expressed Genes for Gene Perturbations dataset. | |
| PFOCR Pathway Figure Associations 2023 | pathways involving S100P protein from the PFOCR Pathway Figure Associations 2023 dataset. | |
| PFOCR Pathway Figure Associations 2024 | pathways involving S100P protein from the Wikipathways PFOCR 2024 dataset. | |
| Reactome Pathways 2024 | pathways involving S100P 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 S100P 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 S100P 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 S100P gene from the Roadmap Epigenomics Histone Modification Site Profiles dataset. | |
| RummaGEO Drug Perturbation Signatures | drug perturbations changing expression of S100P gene from the RummaGEO Drug Perturbation Signatures dataset. | |
| RummaGEO Gene Perturbation Signatures | gene perturbations changing expression of S100P gene from the RummaGEO Gene Perturbation Signatures dataset. | |
| Sanger Dependency Map Cancer Cell Line Proteomics | cell lines associated with S100P protein from the Sanger Dependency Map Cancer Cell Line Proteomics dataset. | |
| Tabula Sapiens Gene-Cell Associations | cell types with high or low expression of S100P gene relative to other cell types from the Tabula Sapiens Gene-Cell Associations dataset. | |
| TargetScan Predicted Nonconserved microRNA Targets | microRNAs regulating expression of S100P 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 S100P 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 S100P protein from the TISSUES Curated Tissue Protein Expression Evidence Scores dataset. | |
| TISSUES Curated Tissue Protein Expression Evidence Scores 2025 | tissues with high expression of S100P protein from the TISSUES Curated Tissue Protein Expression Evidence Scores 2025 dataset. | |
| TISSUES Experimental Tissue Protein Expression Evidence Scores | tissues with high expression of S100P protein in proteomics datasets from the TISSUES Experimental Tissue Protein Expression Evidence Scores dataset. | |
| TISSUES Experimental Tissue Protein Expression Evidence Scores 2025 | tissues with high expression of S100P protein in proteomics datasets from the TISSUES Experimental Tissue Protein Expression Evidence Scores 2025 dataset. | |
| TISSUES Text-mining Tissue Protein Expression Evidence Scores | tissues co-occuring with S100P 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 S100P protein in abstracts of biomedical publications from the TISSUES Text-mining Tissue Protein Expression Evidence Scores 2025 dataset. | |
| WikiPathways Pathways 2014 | pathways involving S100P protein from the Wikipathways Pathways 2014 dataset. | |
| WikiPathways Pathways 2024 | pathways involving S100P protein from the WikiPathways Pathways 2024 dataset. | |
