| HGNC Family | Ion channels, Cholinergic receptors |
| Name | cholinergic receptor, nicotinic, alpha 9 (neuronal) |
| Description | This gene is a member of the ligand-gated ionic channel family and nicotinic acetylcholine receptor gene superfamily. It encodes a plasma membrane protein that forms homo- or hetero-oligomeric divalent cation channels. This protein is involved in cochlea hair cell development and is also expressed in the outer hair cells (OHCs) of the adult cochlea. [provided by RefSeq, Feb 2012] |
| Summary |
{"type": "root", "children": [{"type": "p", "children": [{"type": "t", "text": "\n The CHRNA9 gene codes for the α9 nicotinic acetylcholine receptor subunit, which plays multifaceted roles in both neuronal and non‐neuronal tissues. In the auditory system, α9‐containing receptors are expressed in cochlear hair cells and are essential for mediating efferent cholinergic feedback that modulates hair cell excitability and protects against noise‐induced trauma, as well as for the proper formation and maintenance of synaptic contacts."}, {"type": "fg", "children": [{"type": "fg_fs", "start_ref": "1", "end_ref": "3"}]}, {"type": "t", "text": "\n In the context of nicotine exposure, genetic variants in CHRNA9 have been nominally associated with nicotine dependence and modulation of neurocognitive functions such as response inhibition and selective attention in smokers, indicating that α9‐containing receptors may influence addiction risk and related behavioral traits."}, {"type": "fg", "children": [{"type": "fg_fs", "start_ref": "4", "end_ref": "7"}]}, {"type": "t", "text": "\n Moreover, alternative splicing and polymorphisms in CHRNA9 affect cell proliferation and transformation in bronchial epithelial cells, with specific variants correlating with increased cellular growth and susceptibility to carcinogenic transformation, thereby implicating CHRNA9 in the etiology of lung, breast, and cervical cancers."}, {"type": "fg", "children": [{"type": "fg_fs", "start_ref": "8", "end_ref": "11"}]}, {"type": "t", "text": "\n In addition, CHRNA9‐containing receptors in monocytes contribute to immunomodulatory signaling by inhibiting ATP‐induced interleukin‐1β release through a silent agonist mechanism, suggesting a role in the control of inflammatory responses."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "12"}]}, {"type": "t", "text": "\n Finally, structural studies of the extracellular domain of the α9 subunit have elucidated key binding interactions with α‐conotoxins, findings that are instrumental in the development of novel therapeutics targeting chronic pain and other disorders."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "13"}]}, {"type": "t", "text": "\n "}]}, {"type": "rg", "children": [{"type": "r", "ref": 1, "children": [{"type": "t", "text": "Julian Taranda, Stéphane F Maison, Jimena A Ballestero, et al. "}, {"type": "b", "children": [{"type": "t", "text": "A point mutation in the hair cell nicotinic cholinergic receptor prolongs cochlear inhibition and enhances noise protection."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "PLoS Biol (2009)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1371/journal.pbio.1000018"}], "href": "https://doi.org/10.1371/journal.pbio.1000018"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "19166271"}], "href": "https://pubmed.ncbi.nlm.nih.gov/19166271"}]}, {"type": "r", "ref": 2, "children": [{"type": "t", "text": "Sevin Turcan, Donna K Slonim, Douglas E Vetter "}, {"type": "b", "children": [{"type": "t", "text": "Lack of nAChR activity depresses cochlear maturation and up-regulates GABA system components: temporal profiling of gene expression in alpha9 null mice."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "PLoS One (2010)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1371/journal.pone.0009058"}], "href": "https://doi.org/10.1371/journal.pone.0009058"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "20140217"}], "href": "https://pubmed.ncbi.nlm.nih.gov/20140217"}]}, {"type": "r", "ref": 3, "children": [{"type": "t", "text": "L R Lustig, H Peng "}, {"type": "b", "children": [{"type": "t", "text": "Chromosome location and characterization of the human nicotinic acetylcholine receptor subunit alpha (alpha) 9 (CHRNA9) gene."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Cytogenet Genome Res (2002)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1159/000069804"}], "href": "https://doi.org/10.1159/000069804"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "12697997"}], "href": "https://pubmed.ncbi.nlm.nih.gov/12697997"}]}, {"type": "r", "ref": 4, "children": [{"type": "t", "text": "L Greenbaum, K Kanyas, O Karni, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Why do young women smoke? I. Direct and interactive effects of environment, psychological characteristics and nicotinic cholinergic receptor genes."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Mol Psychiatry (2006)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1038/sj.mp.4001774"}], "href": "https://doi.org/10.1038/sj.mp.4001774"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "16314871"}], "href": "https://pubmed.ncbi.nlm.nih.gov/16314871"}]}, {"type": "r", "ref": 5, "children": [{"type": "t", "text": "A Rigbi, K Kanyas, A Yakir, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Why do young women smoke? V. Role of direct and interactive effects of nicotinic cholinergic receptor gene variation on neurocognitive function."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Genes Brain Behav (2008)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1111/j.1601-183X.2007.00329.x"}], "href": "https://doi.org/10.1111/j.1601-183X.2007.00329.x"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "17559419"}], "href": "https://pubmed.ncbi.nlm.nih.gov/17559419"}]}, {"type": "r", "ref": 6, "children": [{"type": "t", "text": "Nancy L Saccone, Scott F Saccone, Anthony L Hinrichs, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Multiple distinct risk loci for nicotine dependence identified by dense coverage of the complete family of nicotinic receptor subunit (CHRN) genes."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Am J Med Genet B Neuropsychiatr Genet (2009)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1002/ajmg.b.30828"}], "href": "https://doi.org/10.1002/ajmg.b.30828"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "19259974"}], "href": "https://pubmed.ncbi.nlm.nih.gov/19259974"}]}, {"type": "r", "ref": 7, "children": [{"type": "t", "text": "J Yang, S Wang, Z Yang, et al. "}, {"type": "b", "children": [{"type": "t", "text": "The contribution of rare and common variants in 30 genes to risk nicotine dependence."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Mol Psychiatry (2015)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1038/mp.2014.156"}], "href": "https://doi.org/10.1038/mp.2014.156"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "25450229"}], "href": "https://pubmed.ncbi.nlm.nih.gov/25450229"}]}, {"type": "r", "ref": 8, "children": [{"type": "t", "text": "Anna Chikova, Sergei A Grando "}, {"type": "b", "children": [{"type": "t", "text": "Naturally occurring variants of human Α9 nicotinic receptor differentially affect bronchial cell proliferation and transformation."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "PLoS One (2011)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1371/journal.pone.0027978"}], "href": "https://doi.org/10.1371/journal.pone.0027978"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "22125646"}], "href": "https://pubmed.ncbi.nlm.nih.gov/22125646"}]}, {"type": "r", "ref": 9, "children": [{"type": "t", "text": "Anna Chikova, Hans-Ulrich Bernard, Igor B Shchepotin, et al. "}, {"type": "b", "children": [{"type": "t", "text": "New associations of the genetic polymorphisms in nicotinic receptor genes with the risk of lung cancer."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Life Sci (2012)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1016/j.lfs.2011.12.023"}], "href": "https://doi.org/10.1016/j.lfs.2011.12.023"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "22280835"}], "href": "https://pubmed.ncbi.nlm.nih.gov/22280835"}]}, {"type": "r", "ref": 10, "children": [{"type": "t", "text": "Yi-Chen Hsieh, Chia-Hwa Lee, Shih-Hsin Tu, et al. "}, {"type": "b", "children": [{"type": "t", "text": "CHRNA9 polymorphisms and smoking exposure synergize to increase the risk of breast cancer in Taiwan."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Carcinogenesis (2014)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1093/carcin/bgu179"}], "href": "https://doi.org/10.1093/carcin/bgu179"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "25142973"}], "href": "https://pubmed.ncbi.nlm.nih.gov/25142973"}]}, {"type": "r", "ref": 11, "children": [{"type": "t", "text": "Itzel Calleja-Macias, Kathryn Osann, Mariana Remedios-Chan, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Association of single nucleotide polymorphisms of nicotinic acetylcholine receptor subunits with cervical neoplasia."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Life Sci (2012)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1016/j.lfs.2012.02.015"}], "href": "https://doi.org/10.1016/j.lfs.2012.02.015"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "22406075"}], "href": "https://pubmed.ncbi.nlm.nih.gov/22406075"}]}, {"type": "r", "ref": 12, "children": [{"type": "t", "text": "K Richter, V Mathes, M Fronius, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Phosphocholine - an agonist of metabotropic but not of ionotropic functions of α9-containing nicotinic acetylcholine receptors."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Sci Rep (2016)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1038/srep28660"}], "href": "https://doi.org/10.1038/srep28660"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "27349288"}], "href": "https://pubmed.ncbi.nlm.nih.gov/27349288"}]}, {"type": "r", "ref": 13, "children": [{"type": "t", "text": "Marios Zouridakis, Athanasios Papakyriakou, Igor A Ivanov, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Crystal Structure of the Monomeric Extracellular Domain of α9 Nicotinic Receptor Subunit in Complex With α-Conotoxin RgIA: Molecular Dynamics Insights Into RgIA Binding to α9α10 Nicotinic Receptors."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Front Pharmacol (2019)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.3389/fphar.2019.00474"}], "href": "https://doi.org/10.3389/fphar.2019.00474"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "31118896"}], "href": "https://pubmed.ncbi.nlm.nih.gov/31118896"}]}]}]}
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| Synonyms | NACHRA9, HSA243342 |
| Proteins | ACHA9_HUMAN |
| NCBI Gene ID | 55584 |
| 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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CHRNA9 has 4,041 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 104 datasets.
Click the + buttons to view associations for CHRNA9 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 CHRNA9 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 CHRNA9 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 CHRNA9 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 CHRNA9 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 CHRNA9 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 CHRNA9 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 CHRNA9 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 CHRNA9 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 CHRNA9 gene from the Carcinogenome Chemical Perturbation Carcinogenicity Signatures dataset. | |
| CCLE Cell Line Gene CNV Profiles | cell lines with high or low copy number of CHRNA9 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 CHRNA9 gene relative to other cell lines from the CCLE Cell Line Gene Expression Profiles dataset. | |
| ChEA Transcription Factor Binding Site Profiles | transcription factor binding site profiles with transcription factor binding evidence at the promoter of CHRNA9 gene from the CHEA Transcription Factor Binding Site Profiles dataset. | |
| ChEA Transcription Factor Targets | transcription factors binding the promoter of CHRNA9 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 CHRNA9 gene in low- or high-throughput transcription factor functional studies from the CHEA Transcription Factor Targets 2022 dataset. | |
| CM4AI KOLF21J CRISPRi Gene Perturbation Atlas | gene perturbations changing expression of CHRNA9 gene from the CM4AI KOLF21J CRISPRi Gene Perturbation Atlas dataset. | |
| CMAP Signatures of Differentially Expressed Genes for Small Molecules | small molecule perturbations changing expression of CHRNA9 gene from the CMAP Signatures of Differentially Expressed Genes for Small Molecules dataset. | |
| COMPARTMENTS Curated Protein Localization Evidence Scores | cellular components containing CHRNA9 protein from the COMPARTMENTS Curated Protein Localization Evidence Scores dataset. | |
| COMPARTMENTS Curated Protein Localization Evidence Scores 2025 | cellular components containing CHRNA9 protein from the COMPARTMENTS Curated Protein Localization Evidence Scores 2025 dataset. | |
| COMPARTMENTS Text-mining Protein Localization Evidence Scores | cellular components co-occuring with CHRNA9 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 CHRNA9 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 CHRNA9 gene relative to other cell lines from the COSMIC Cell Line Gene CNV Profiles dataset. | |
| COSMIC Cell Line Gene Mutation Profiles | cell lines with CHRNA9 gene mutations from the COSMIC Cell Line Gene Mutation Profiles dataset. | |
| CTD Gene-Chemical Interactions | chemicals interacting with CHRNA9 gene/protein from the curated CTD Gene-Chemical Interactions dataset. | |
| CTD Gene-Disease Associations | diseases associated with CHRNA9 gene/protein from the curated CTD Gene-Disease Associations dataset. | |
| DepMap CRISPR Gene Dependency | cell lines with fitness changed by CHRNA9 gene knockdown relative to other cell lines from the DepMap CRISPR Gene Dependency dataset. | |
| DGIdb Drug Targets 2026 | interacting drugs for CHRNA9 protein from the DGIdb Drug Targets 2026 dataset. | |
| DISEASES Experimental Gene-Disease Association Evidence Scores | diseases associated with CHRNA9 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 CHRNA9 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 CHRNA9 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 CHRNA9 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 CHRNA9 gene in GWAS and other genetic association datasets from the DisGeNET Gene-Disease Associations dataset. | |
| DisGeNET Gene-Phenotype Associations | phenotypes associated with CHRNA9 gene in GWAS and other genetic association datasets from the DisGeNET Gene-Phenoptype Associations dataset. | |
| DrugBank Drug Targets | interacting drugs for CHRNA9 protein from the curated DrugBank Drug Targets dataset. | |
| ENCODE Histone Modification Site Profiles | histone modification site profiles with high histone modification abundance at CHRNA9 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 CHRNA9 gene from the ENCODE Transcription Factor Binding Site Profiles dataset. | |
| ENCODE Transcription Factor Targets | transcription factors binding the promoter of CHRNA9 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 CHRNA9 from the ESCAPE Omics Signatures of Genes and Proteins for Stem Cells dataset. | |
| GAD Gene-Disease Associations | diseases associated with CHRNA9 gene in GWAS and other genetic association datasets from the GAD Gene-Disease Associations dataset. | |
| GAD High Level Gene-Disease Associations | diseases associated with CHRNA9 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 CHRNA9 gene relative to other cell lines from the GDSC Cell Line Gene Expression Profiles dataset. | |
| GeneRIF Biological Term Annotations | biological terms co-occuring with CHRNA9 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 CHRNA9 from the GeneSigDB Published Gene Signatures dataset. | |
| GEO Signatures of Differentially Expressed Genes for Diseases | disease perturbations changing expression of CHRNA9 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 CHRNA9 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 CHRNA9 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 CHRNA9 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 CHRNA9 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 CHRNA9 gene from the GEO Signatures of Differentially Expressed Genes for Viral Infections dataset. | |
| GO Biological Process Annotations 2015 | biological processes involving CHRNA9 gene from the curated GO Biological Process Annotations 2015 dataset. | |
| GO Biological Process Annotations 2023 | biological processes involving CHRNA9 gene from the curated GO Biological Process Annotations 2023 dataset. | |
| GO Biological Process Annotations 2025 | biological processes involving CHRNA9 gene from the curated GO Biological Process Annotations2025 dataset. | |
| GO Cellular Component Annotations 2015 | cellular components containing CHRNA9 protein from the curated GO Cellular Component Annotations 2015 dataset. | |
| GO Cellular Component Annotations 2023 | cellular components containing CHRNA9 protein from the curated GO Cellular Component Annotations 2023 dataset. | |
| GO Cellular Component Annotations 2025 | cellular components containing CHRNA9 protein from the curated GO Cellular Component Annotations 2025 dataset. | |
| GO Molecular Function Annotations 2015 | molecular functions performed by CHRNA9 gene from the curated GO Molecular Function Annotations 2015 dataset. | |
| GO Molecular Function Annotations 2023 | molecular functions performed by CHRNA9 gene from the curated GO Molecular Function Annotations 2023 dataset. | |
| GO Molecular Function Annotations 2025 | molecular functions performed by CHRNA9 gene from the curated GO Molecular Function Annotations 2025 dataset. | |
| GTEx Tissue Gene Expression Profiles | tissues with high or low expression of CHRNA9 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 CHRNA9 gene relative to other tissues from the GTEx Tissue Gene Expression Profiles 2023 dataset. | |
| Guide to Pharmacology Chemical Ligands of Receptors | ligands (chemical) binding CHRNA9 receptor from the curated Guide to Pharmacology Chemical Ligands of Receptors dataset. | |
| GWAS Catalog SNP-Phenotype Associations 2025 | phenotypes associated with CHRNA9 gene in GWAS datasets from the GWAS Catalog SNP-Phenotype Associations 2025 dataset. | |
| GWASdb SNP-Disease Associations | diseases associated with CHRNA9 gene in GWAS and other genetic association datasets from the GWASdb SNP-Disease Associations dataset. | |
| GWASdb SNP-Phenotype Associations | phenotypes associated with CHRNA9 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 CHRNA9 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 CHRNA9 protein from the curated HMDB Metabolites of Enzymes dataset. | |
| HPA Cell Line Gene Expression Profiles | cell lines with high or low expression of CHRNA9 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 CHRNA9 gene relative to other tissues from the HPA Tissue Gene Expression Profiles dataset. | |
| HuGE Navigator Gene-Phenotype Associations | phenotypes associated with CHRNA9 gene by text-mining GWAS publications from the HuGE Navigator Gene-Phenotype Associations dataset. | |
| InterPro Predicted Protein Domain Annotations | protein domains predicted for CHRNA9 protein from the InterPro Predicted Protein Domain Annotations dataset. | |
| JASPAR Predicted Human Transcription Factor Targets 2025 | transcription factors regulating expression of CHRNA9 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 CHRNA9 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 CHRNA9 gene predicted using known transcription factor binding site motifs from the JASPAR Predicted Transcription Factor Targets dataset. | |
| KEGG Pathways 2026 | pathways involving CHRNA9 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 CHRNA9 gene relative to other cell lines from the Klijn et al., Nat. Biotechnol., 2015 Cell Line Gene CNV Profiles dataset. | |
| KnockTF Gene Expression Profiles with Transcription Factor Perturbations | transcription factor perturbations changing expression of CHRNA9 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 CHRNA9 gene from the LINCS L1000 CMAP Chemical Perturbations Consensus Signatures dataset. | |
| LINCS L1000 CMAP CRISPR Knockout Consensus Signatures | gene perturbations changing expression of CHRNA9 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 CHRNA9 gene from the LINCS L1000 CMAP Signatures of Differentially Expressed Genes for Small Molecules dataset. | |
| LOCATE Predicted Protein Localization Annotations | cellular components predicted to contain CHRNA9 protein from the LOCATE Predicted Protein Localization Annotations dataset. | |
| MGI Mouse Phenotype Associations 2023 | phenotypes of transgenic mice caused by CHRNA9 gene mutations from the MGI Mouse Phenotype Associations 2023 dataset. | |
| MiRTarBase microRNA Targets | microRNAs targeting CHRNA9 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 CHRNA9 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 CHRNA9 gene mutations from the MPO Gene-Phenotype Associations dataset. | |
| MSigDB Signatures of Differentially Expressed Genes for Cancer Gene Perturbations | gene perturbations changing expression of CHRNA9 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 CHRNA9 gene from the NIBR DRUG-seq U2OS MoA Box dataset. | |
| PANTHER Pathways | pathways involving CHRNA9 protein from the PANTHER Pathways dataset. | |
| Pathway Commons Protein-Protein Interactions | interacting proteins for CHRNA9 from the Pathway Commons Protein-Protein Interactions dataset. | |
| PerturbAtlas Signatures of Differentially Expressed Genes for Gene Perturbations | gene perturbations changing expression of CHRNA9 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 CHRNA9 gene from the PerturbAtlas Signatures of Differentially Expressed Genes for Gene Perturbations dataset. | |
| PFOCR Pathway Figure Associations 2024 | pathways involving CHRNA9 protein from the Wikipathways PFOCR 2024 dataset. | |
| Reactome Pathways 2014 | pathways involving CHRNA9 protein from the Reactome Pathways dataset. | |
| Reactome Pathways 2024 | pathways involving CHRNA9 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 CHRNA9 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 CHRNA9 gene from the Roadmap Epigenomics Histone Modification Site Profiles dataset. | |
| Rummagene Transcription Factor Associations 2026 | transcription factors regulating expression of CHRNA9 gene from the Rummagene Transcription Factor Associations 2026 dataset. | |
| RummaGEO Drug Perturbation Signatures | drug perturbations changing expression of CHRNA9 gene from the RummaGEO Drug Perturbation Signatures dataset. | |
| RummaGEO Gene Perturbation Signatures | gene perturbations changing expression of CHRNA9 gene from the RummaGEO Gene Perturbation Signatures dataset. | |
| SynGO Synaptic Gene Annotations | synaptic terms associated with CHRNA9 gene from the SynGO Synaptic Gene Annotations dataset. | |
| TargetScan Predicted Nonconserved microRNA Targets | microRNAs regulating expression of CHRNA9 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 CHRNA9 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 CHRNA9 protein from the TISSUES Curated Tissue Protein Expression Evidence Scores dataset. | |
| TISSUES Curated Tissue Protein Expression Evidence Scores 2025 | tissues with high expression of CHRNA9 protein from the TISSUES Curated Tissue Protein Expression Evidence Scores 2025 dataset. | |
| TISSUES Text-mining Tissue Protein Expression Evidence Scores | tissues co-occuring with CHRNA9 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 CHRNA9 protein in abstracts of biomedical publications from the TISSUES Text-mining Tissue Protein Expression Evidence Scores 2025 dataset. | |
