| HGNC Family | Ion channels, Cholinergic receptors |
| Name | cholinergic receptor, nicotinic, beta 3 (neuronal) |
| Description | The nicotinic acetylcholine receptors (nAChRs) are members of a superfamily of ligand-gated ion channels that mediate fast signal transmission at synapses. The nAChRs are (hetero)pentamers composed of homologous subunits. The subunits that make up the muscle and neuronal forms of nAChRs are encoded by separate genes and have different primary structure. There are several subtypes of neuronal nAChRs that vary based on which homologous subunits are arranged around the central channel. They are classified as alpha-subunits if, like muscle alpha-1 (MIM 100690), they have a pair of adjacent cysteines as part of the presumed acetylcholine binding site. Subunits lacking these cysteine residues are classified as beta-subunits (Groot Kormelink and Luyten, 1997 [PubMed 9009220]). Elliott et al. (1996) [PubMed 8906617] stated that the proposed structure for each subunit is a conserved N-terminal extracellular domain followed by 3 conserved transmembrane domains, a variable cytoplasmic loop, a fourth conserved transmembrane domain, and a short C-terminal extracellular region.[supplied by OMIM, Apr 2010] |
| Summary |
{"type": "root", "children": [{"type": "p", "children": [{"type": "t", "text": "\n The β3 subunit of nicotinic acetylcholine receptors, encoded by "}, {"type": "b", "children": [{"type": "t", "text": "CHRNB3"}]}, {"type": "t", "text": ", plays a critical role in modulating the neurobiological response to nicotine. Genetic studies in diverse human populations have consistently demonstrated that common and rare variants in CHRNB3, as well as in the closely linked CHRNA6 gene, are associated with various nicotine‐related phenotypes—including smoking initiation, heaviness of smoking, subjective responses during early exposures, and the number of quit attempts."}, {"type": "fg", "children": [{"type": "fg_fs", "start_ref": "1", "end_ref": "4"}]}, {"type": "t", "text": " In adolescents, polymorphisms in CHRNB3 have been linked to altered initial subjective responses to nicotine, suggesting that early differences in receptor expression or function may set the stage for later dependence."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "5"}]}, {"type": "t", "text": " Functional experiments have further revealed that regulatory variants in the CHRNB3 promoter region influence gene expression levels, with consequent effects on nicotine intake and sensitivity; notably, mice lacking β3 display reduced voluntary nicotine consumption, supporting a contributory role of CHRNB3 in mediating nicotine reward."}, {"type": "fg", "children": [{"type": "fg_fs", "start_ref": "7", "end_ref": "10"}]}, {"type": "t", "text": " In addition to its role in nicotine dependence, variations in CHRNB3 have been implicated in modulating the consumption of other substances. Polymorphisms in this gene have been associated with alcohol and cocaine use behaviors, indicating potential pleiotropic effects across substances of abuse."}, {"type": "fg", "children": [{"type": "fg_fs", "start_ref": "11", "end_ref": "15"}]}, {"type": "t", "text": " Moreover, experimental studies in genetically modified mice further support these findings; while deletion of CHRNB3 reduces nicotine consumption, some preclinical models indicate that CHRNB3 variants may differentially affect substance-related behaviors without broadly influencing other ethanol‐related phenotypes."}, {"type": "fg", "children": [{"type": "fg_fs", "start_ref": "16", "end_ref": "19"}]}, {"type": "t", "text": " Comprehensive reviews further emphasize that the CHRNB3–CHRNA6 gene cluster is a key component in the neurobiological pathways underlying nicotine reward and dependence, with additional associations observed for cocaine use disorders."}, {"type": "fg", "children": [{"type": "fg_fs", "start_ref": "20", "end_ref": "22"}]}, {"type": "t", "text": " Finally, interactions with clinical phenotypes such as attention deficit hyperactivity disorder and bipolar disorder suggest that CHRNB3 variants may also modulate risk across neuropsychiatric conditions, potentially through their effects on dopaminergic signaling and inhibitory control."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "23"}]}, {"type": "t", "text": "\n "}]}, {"type": "t", "text": "\n "}, {"type": "p", "children": [{"type": "t", "text": "\n In summary, the current body of evidence indicates that CHRNB3 functions as a key modulator of nicotinic receptor activity, influencing nicotine‐mediated reward, consumption, and dependence. Alterations in its expression and function, driven by genetic variation, not only affect smoking behavior but may also contribute to broader substance-related and neuropsychiatric phenotypes.\n "}]}, {"type": "rg", "children": [{"type": "r", "ref": 1, "children": [{"type": "t", "text": "Scott F Saccone, Anthony L Hinrichs, Nancy L Saccone, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Cholinergic nicotinic receptor genes implicated in a nicotine dependence association study targeting 348 candidate genes with 3713 SNPs."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Hum Mol Genet (2007)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1093/hmg/ddl438"}], "href": "https://doi.org/10.1093/hmg/ddl438"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "17135278"}], "href": "https://pubmed.ncbi.nlm.nih.gov/17135278"}]}, {"type": "r", "ref": 2, "children": [{"type": "t", "text": "Thorgeir E Thorgeirsson, Daniel F Gudbjartsson, Ida Surakka, et al. 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"}, {"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": 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": "Joanna S Zeiger, Brett C Haberstick, Isabel Schlaepfer, et al. "}, {"type": "b", "children": [{"type": "t", "text": "The neuronal nicotinic receptor subunit genes (CHRNA6 and CHRNB3) are associated with subjective responses to tobacco."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Hum Mol Genet (2008)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1093/hmg/ddm344"}], "href": "https://doi.org/10.1093/hmg/ddm344"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "18055561"}], "href": "https://pubmed.ncbi.nlm.nih.gov/18055561"}]}, {"type": "r", "ref": 6, "children": [{"type": "t", "text": "N L Saccone, T-H Schwantes-An, J C Wang, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Multiple cholinergic nicotinic receptor genes affect nicotine dependence risk in African and European Americans."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Genes Brain Behav (2010)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1111/j.1601-183X.2010.00608.x"}], "href": "https://doi.org/10.1111/j.1601-183X.2010.00608.x"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "20584212"}], "href": "https://pubmed.ncbi.nlm.nih.gov/20584212"}]}, {"type": "r", "ref": 7, "children": [{"type": "t", "text": "Nicole R Hoft, Robin P Corley, Matthew B McQueen, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Genetic association of the CHRNA6 and CHRNB3 genes with tobacco dependence in a nationally representative sample."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Neuropsychopharmacology (2009)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1038/npp.2008.122"}], "href": "https://doi.org/10.1038/npp.2008.122"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "18704094"}], "href": "https://pubmed.ncbi.nlm.nih.gov/18704094"}]}, {"type": "r", "ref": 8, "children": [{"type": "t", "text": "John P Rice, Sarah M Hartz, Arpana Agrawal, et al. "}, {"type": "b", "children": [{"type": "t", "text": "CHRNB3 is more strongly associated with Fagerström test for cigarette dependence-based nicotine dependence than cigarettes per day: phenotype definition changes genome-wide association studies results."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Addiction (2012)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1111/j.1360-0443.2012.03922.x"}], "href": "https://doi.org/10.1111/j.1360-0443.2012.03922.x"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "22524403"}], "href": "https://pubmed.ncbi.nlm.nih.gov/22524403"}]}, {"type": "r", "ref": 9, "children": [{"type": "t", "text": "Ming D Li, Qing Xu, Xiang-Yang Lou, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Association and interaction analysis of variants in CHRNA5/CHRNA3/CHRNB4 gene cluster with nicotine dependence in African and European Americans."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Am J Med Genet B Neuropsychiatr Genet (2010)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1002/ajmg.b.31043"}], "href": "https://doi.org/10.1002/ajmg.b.31043"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "19859904"}], "href": "https://pubmed.ncbi.nlm.nih.gov/19859904"}]}, {"type": "r", "ref": 10, "children": [{"type": "t", "text": "Elisha D W Mackey, Staci E Engle, Mi Ran Kim, et al. "}, {"type": "b", "children": [{"type": "t", "text": "α6* nicotinic acetylcholine receptor expression and function in a visual salience circuit."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "J Neurosci (2012)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1523/JNEUROSCI.0007-12.2012"}], "href": "https://doi.org/10.1523/JNEUROSCI.0007-12.2012"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "22836257"}], "href": "https://pubmed.ncbi.nlm.nih.gov/22836257"}]}, {"type": "r", "ref": 11, "children": [{"type": "t", "text": "N R Hoft, R P Corley, M B McQueen, et al. "}, {"type": "b", "children": [{"type": "t", "text": "SNPs in CHRNA6 and CHRNB3 are associated with alcohol consumption in a nationally representative sample."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Genes Brain Behav (2009)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1111/j.1601-183X.2009.00495.x"}], "href": "https://doi.org/10.1111/j.1601-183X.2009.00495.x"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "19500157"}], "href": "https://pubmed.ncbi.nlm.nih.gov/19500157"}]}, {"type": "r", "ref": 12, "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": 13, "children": [{"type": "t", "text": "Eric O Johnson, Li-Shiun Chen, Naomi Breslau, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Peer smoking and the nicotinic receptor genes: an examination of genetic and environmental risks for nicotine dependence."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Addiction (2010)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1111/j.1360-0443.2010.03074.x"}], "href": "https://doi.org/10.1111/j.1360-0443.2010.03074.x"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "20840187"}], "href": "https://pubmed.ncbi.nlm.nih.gov/20840187"}]}, {"type": "r", "ref": 14, "children": [{"type": "t", "text": "Marissa A Ehringer, Matthew B McQueen, Nicole R Hoft, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Association of CHRN genes with \"dizziness\" to tobacco."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Am J Med Genet B Neuropsychiatr Genet (2010)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1002/ajmg.b.31027"}], "href": "https://doi.org/10.1002/ajmg.b.31027"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "19760673"}], "href": "https://pubmed.ncbi.nlm.nih.gov/19760673"}]}, {"type": "r", "ref": 15, "children": [{"type": "t", "text": "Gabe Haller, Manav Kapoor, John Budde, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Rare missense variants in CHRNB3 and CHRNA3 are associated with risk of alcohol and cocaine dependence."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Hum Mol Genet (2014)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1093/hmg/ddt463"}], "href": "https://doi.org/10.1093/hmg/ddt463"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "24057674"}], "href": "https://pubmed.ncbi.nlm.nih.gov/24057674"}]}, {"type": "r", "ref": 16, "children": [{"type": "t", "text": "Helen M Kamens, Nicole R Hoft, Ryan J Cox, et al. "}, {"type": "b", "children": [{"type": "t", "text": "The α6 nicotinic acetylcholine receptor subunit influences ethanol-induced sedation."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Alcohol (2012)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1016/j.alcohol.2012.03.001"}], "href": "https://doi.org/10.1016/j.alcohol.2012.03.001"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "22572056"}], "href": "https://pubmed.ncbi.nlm.nih.gov/22572056"}]}, {"type": "r", "ref": 17, "children": [{"type": "t", "text": "Jean-François Etter, Jean-Charles Hoda, Nader Perroud, et al. 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"}, {"type": "b", "children": [{"type": "t", "text": "Reward-related genes and personality traits in alcohol-dependent individuals: a pilot case control study."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Neuropsychobiology (2011)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1159/000324992"}], "href": "https://doi.org/10.1159/000324992"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "21606657"}], "href": "https://pubmed.ncbi.nlm.nih.gov/21606657"}]}, {"type": "r", "ref": 19, "children": [{"type": "t", "text": "Helen M Kamens, Jill Miyamoto, Matthew S Powers, et al. "}, {"type": "b", "children": [{"type": "t", "text": "The β3 subunit of the nicotinic acetylcholine receptor: Modulation of gene expression and nicotine consumption."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Neuropharmacology (2015)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1016/j.neuropharm.2015.08.035"}], "href": "https://doi.org/10.1016/j.neuropharm.2015.08.035"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "26318101"}], "href": "https://pubmed.ncbi.nlm.nih.gov/26318101"}]}, {"type": "r", "ref": 20, "children": [{"type": "t", "text": "L Wen, Z Yang, W Cui, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Crucial roles of the CHRNB3-CHRNA6 gene cluster on chromosome 8 in nicotine dependence: update and subjects for future research."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Transl Psychiatry (2016)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1038/tp.2016.103"}], "href": "https://doi.org/10.1038/tp.2016.103"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "27327258"}], "href": "https://pubmed.ncbi.nlm.nih.gov/27327258"}]}, {"type": "r", "ref": 21, "children": [{"type": "t", "text": "Brooke Sadler, Gabe Haller, Arpana Agrawal, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Variants near CHRNB3-CHRNA6 are associated with DSM-5 cocaine use disorder: evidence for pleiotropy."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Sci Rep (2014)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1038/srep04497"}], "href": "https://doi.org/10.1038/srep04497"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "24675634"}], "href": "https://pubmed.ncbi.nlm.nih.gov/24675634"}]}, {"type": "r", "ref": 22, "children": [{"type": "t", "text": "Li Wen, Haijun Han, Qiang Liu, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Significant association of the CHRNB3-CHRNA6 gene cluster with nicotine dependence in the Chinese Han population."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Sci Rep (2017)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1038/s41598-017-09492-8"}], "href": "https://doi.org/10.1038/s41598-017-09492-8"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "28851948"}], "href": "https://pubmed.ncbi.nlm.nih.gov/28851948"}]}, {"type": "r", "ref": 23, "children": [{"type": "t", "text": "Sarah M Hartz, Peng Lin, Howard J Edenberg, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Genetic association of bipolar disorder with the β(3) nicotinic receptor subunit gene."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Psychiatr Genet (2011)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1097/YPG.0b013e32834135eb"}], "href": "https://doi.org/10.1097/YPG.0b013e32834135eb"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "21191315"}], "href": "https://pubmed.ncbi.nlm.nih.gov/21191315"}]}, {"type": "r", "ref": 24, "children": [{"type": "t", "text": "Chien-Ti Lee, Bernard F Fuemmeler, F Joseph McClernon, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Nicotinic receptor gene variants interact with attention deficient hyperactive disorder symptoms to predict smoking trajectories from early adolescence to adulthood."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Addict Behav (2013)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1016/j.addbeh.2013.06.013"}], "href": "https://doi.org/10.1016/j.addbeh.2013.06.013"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "23899432"}], "href": "https://pubmed.ncbi.nlm.nih.gov/23899432"}]}]}]}
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| Proteins | ACHB3_HUMAN |
| NCBI Gene ID | 1142 |
| 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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CHRNB3 has 2,728 functional associations with biological entities spanning 9 categories (molecular profile, organism, chemical, functional term, phrase or reference, disease, phenotype or trait, structural feature, cell line, cell type or tissue, gene, protein or microRNA, sequence feature) extracted from 95 datasets.
Click the + buttons to view associations for CHRNB3 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 CHRNB3 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 CHRNB3 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 CHRNB3 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 CHRNB3 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 CHRNB3 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 CHRNB3 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 CHRNB3 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 CHRNB3 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 CHRNB3 gene from the Carcinogenome Chemical Perturbation Carcinogenicity Signatures dataset. | |
| CCLE Cell Line Gene CNV Profiles | cell lines with high or low copy number of CHRNB3 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 CHRNB3 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 CHRNB3 gene from the CHEA Transcription Factor Binding Site Profiles dataset. | |
| ChEA Transcription Factor Targets | transcription factors binding the promoter of CHRNB3 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 CHRNB3 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 CHRNB3 gene from the CMAP Signatures of Differentially Expressed Genes for Small Molecules dataset. | |
| COMPARTMENTS Curated Protein Localization Evidence Scores | cellular components containing CHRNB3 protein from the COMPARTMENTS Curated Protein Localization Evidence Scores dataset. | |
| COMPARTMENTS Curated Protein Localization Evidence Scores 2025 | cellular components containing CHRNB3 protein from the COMPARTMENTS Curated Protein Localization Evidence Scores 2025 dataset. | |
| COMPARTMENTS Text-mining Protein Localization Evidence Scores | cellular components co-occuring with CHRNB3 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 CHRNB3 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 CHRNB3 gene relative to other cell lines from the COSMIC Cell Line Gene CNV Profiles dataset. | |
| COSMIC Cell Line Gene Mutation Profiles | cell lines with CHRNB3 gene mutations from the COSMIC Cell Line Gene Mutation Profiles dataset. | |
| CTD Gene-Disease Associations | diseases associated with CHRNB3 gene/protein from the curated CTD Gene-Disease Associations dataset. | |
| dbGAP Gene-Trait Associations | traits associated with CHRNB3 gene in GWAS and other genetic association datasets from the dbGAP Gene-Trait Associations dataset. | |
| DepMap CRISPR Gene Dependency | cell lines with fitness changed by CHRNB3 gene knockdown relative to other cell lines from the DepMap CRISPR Gene Dependency dataset. | |
| DISEASES Experimental Gene-Disease Association Evidence Scores | diseases associated with CHRNB3 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 CHRNB3 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 CHRNB3 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 CHRNB3 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 CHRNB3 gene in GWAS and other genetic association datasets from the DisGeNET Gene-Disease Associations dataset. | |
| DisGeNET Gene-Phenotype Associations | phenotypes associated with CHRNB3 gene in GWAS and other genetic association datasets from the DisGeNET Gene-Phenoptype Associations dataset. | |
| DrugBank Drug Targets | interacting drugs for CHRNB3 protein from the curated DrugBank Drug Targets dataset. | |
| ENCODE Histone Modification Site Profiles | histone modification site profiles with high histone modification abundance at CHRNB3 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 CHRNB3 gene from the ENCODE Transcription Factor Binding Site Profiles dataset. | |
| ENCODE Transcription Factor Targets | transcription factors binding the promoter of CHRNB3 gene in ChIP-seq datasets from the ENCODE Transcription Factor Targets dataset. | |
| GAD Gene-Disease Associations | diseases associated with CHRNB3 gene in GWAS and other genetic association datasets from the GAD Gene-Disease Associations dataset. | |
| GAD High Level Gene-Disease Associations | diseases associated with CHRNB3 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 CHRNB3 gene relative to other cell lines from the GDSC Cell Line Gene Expression Profiles dataset. | |
| GeneRIF Biological Term Annotations | biological terms co-occuring with CHRNB3 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 CHRNB3 from the GeneSigDB Published Gene Signatures dataset. | |
| GEO Signatures of Differentially Expressed Genes for Diseases | disease perturbations changing expression of CHRNB3 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 CHRNB3 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 CHRNB3 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 CHRNB3 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 CHRNB3 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 CHRNB3 gene from the GEO Signatures of Differentially Expressed Genes for Viral Infections dataset. | |
| GO Biological Process Annotations 2015 | biological processes involving CHRNB3 gene from the curated GO Biological Process Annotations 2015 dataset. | |
| GO Biological Process Annotations 2023 | biological processes involving CHRNB3 gene from the curated GO Biological Process Annotations 2023 dataset. | |
| GO Biological Process Annotations 2025 | biological processes involving CHRNB3 gene from the curated GO Biological Process Annotations2025 dataset. | |
| GO Cellular Component Annotations 2015 | cellular components containing CHRNB3 protein from the curated GO Cellular Component Annotations 2015 dataset. | |
| GO Cellular Component Annotations 2023 | cellular components containing CHRNB3 protein from the curated GO Cellular Component Annotations 2023 dataset. | |
| GO Cellular Component Annotations 2025 | cellular components containing CHRNB3 protein from the curated GO Cellular Component Annotations 2025 dataset. | |
| GO Molecular Function Annotations 2015 | molecular functions performed by CHRNB3 gene from the curated GO Molecular Function Annotations 2015 dataset. | |
| GO Molecular Function Annotations 2023 | molecular functions performed by CHRNB3 gene from the curated GO Molecular Function Annotations 2023 dataset. | |
| GO Molecular Function Annotations 2025 | molecular functions performed by CHRNB3 gene from the curated GO Molecular Function Annotations 2025 dataset. | |
| GTEx eQTL 2025 | SNPs regulating expression of CHRNB3 gene from the GTEx eQTL 2025 dataset. | |
| GTEx Tissue Gene Expression Profiles | tissues with high or low expression of CHRNB3 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 CHRNB3 gene relative to other tissues from the GTEx Tissue Gene Expression Profiles 2023 dataset. | |
| GWAS Catalog SNP-Phenotype Associations 2025 | phenotypes associated with CHRNB3 gene in GWAS datasets from the GWAS Catalog SNP-Phenotype Associations 2025 dataset. | |
| GWASdb SNP-Disease Associations | diseases associated with CHRNB3 gene in GWAS and other genetic association datasets from the GWASdb SNP-Disease Associations dataset. | |
| GWASdb SNP-Phenotype Associations | phenotypes associated with CHRNB3 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 CHRNB3 gene relative to other cell lines from the Heiser et al., PNAS, 2011 Cell Line Gene Expression Profiles dataset. | |
| HPA Tissue Protein Expression Profiles | tissues with high or low expression of CHRNB3 protein relative to other tissues from the HPA Tissue Protein Expression Profiles dataset. | |
| HuGE Navigator Gene-Phenotype Associations | phenotypes associated with CHRNB3 gene by text-mining GWAS publications from the HuGE Navigator Gene-Phenotype Associations dataset. | |
| InterPro Predicted Protein Domain Annotations | protein domains predicted for CHRNB3 protein from the InterPro Predicted Protein Domain Annotations dataset. | |
| JASPAR Predicted Human Transcription Factor Targets 2025 | transcription factors regulating expression of CHRNB3 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 CHRNB3 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 CHRNB3 gene predicted using known transcription factor binding site motifs from the JASPAR Predicted Transcription Factor Targets dataset. | |
| KEGG Pathways 2026 | pathways involving CHRNB3 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 CHRNB3 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 CHRNB3 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 CHRNB3 gene from the LINCS L1000 CMAP Chemical Perturbations Consensus Signatures dataset. | |
| LOCATE Curated Protein Localization Annotations | cellular components containing CHRNB3 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 CHRNB3 protein from the LOCATE Predicted Protein Localization Annotations dataset. | |
| MGI Mouse Phenotype Associations 2023 | phenotypes of transgenic mice caused by CHRNB3 gene mutations from the MGI Mouse Phenotype Associations 2023 dataset. | |
| MotifMap Predicted Transcription Factor Targets | transcription factors regulating expression of CHRNB3 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 CHRNB3 gene mutations from the MPO Gene-Phenotype Associations dataset. | |
| PANTHER Pathways | pathways involving CHRNB3 protein from the PANTHER Pathways dataset. | |
| PerturbAtlas Signatures of Differentially Expressed Genes for Gene Perturbations | gene perturbations changing expression of CHRNB3 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 CHRNB3 gene from the PerturbAtlas Signatures of Differentially Expressed Genes for Gene Perturbations dataset. | |
| PFOCR Pathway Figure Associations 2023 | pathways involving CHRNB3 protein from the PFOCR Pathway Figure Associations 2023 dataset. | |
| PFOCR Pathway Figure Associations 2024 | pathways involving CHRNB3 protein from the Wikipathways PFOCR 2024 dataset. | |
| Reactome Pathways 2014 | pathways involving CHRNB3 protein from the Reactome Pathways dataset. | |
| Reactome Pathways 2024 | pathways involving CHRNB3 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 CHRNB3 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 CHRNB3 gene from the Roadmap Epigenomics Histone Modification Site Profiles dataset. | |
| RummaGEO Drug Perturbation Signatures | drug perturbations changing expression of CHRNB3 gene from the RummaGEO Drug Perturbation Signatures dataset. | |
| RummaGEO Gene Perturbation Signatures | gene perturbations changing expression of CHRNB3 gene from the RummaGEO Gene Perturbation Signatures dataset. | |
| SynGO Synaptic Gene Annotations | synaptic terms associated with CHRNB3 gene from the SynGO Synaptic Gene Annotations dataset. | |
| TargetScan Predicted Nonconserved microRNA Targets | microRNAs regulating expression of CHRNB3 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 CHRNB3 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 CHRNB3 protein from the TISSUES Curated Tissue Protein Expression Evidence Scores dataset. | |
| TISSUES Curated Tissue Protein Expression Evidence Scores 2025 | tissues with high expression of CHRNB3 protein from the TISSUES Curated Tissue Protein Expression Evidence Scores 2025 dataset. | |
| TISSUES Experimental Tissue Protein Expression Evidence Scores 2025 | tissues with high expression of CHRNB3 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 CHRNB3 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 CHRNB3 protein in abstracts of biomedical publications from the TISSUES Text-mining Tissue Protein Expression Evidence Scores 2025 dataset. | |
