| HGNC Family | Regulators of G-protein signaling (RGS) |
| Name | regulator of G-protein signaling 9 |
| Description | This gene encodes a member of the RGS family of GTPase activating proteins that function in various signaling pathways by accelerating the deactivation of G proteins. This protein is anchored to photoreceptor membranes in retinal cells and deactivates G proteins in the rod and cone phototransduction cascades. Mutations in this gene result in bradyopsia. Multiple transcript variants encoding different isoforms have been found for this gene.[provided by RefSeq, Sep 2009] |
| Summary |
{"type": "root", "children": [{"type": "p", "children": [{"type": "t", "text": "\nRGS9 is a member of the regulator of G protein signaling family that plays critical roles in both visual and neuronal systems. In the retina, the RGS9‐1 splice isoform is anchored by R9AP to photoreceptor membranes and functions as a GTPase‐accelerating protein (GAP) to rapidly deactivate transducin, enabling timely recovery from the light response. Mutations in RGS9 or R9AP lead to a marked delay in deactivation, manifesting clinically as bradyopsia—characterized by difficulty adapting to sudden changes in luminance and impaired tracking of moving or low‐contrast objects. Notably, while patients with cone dysfunction show such adaptation deficits, similar studies screening for mutations in retinitis pigmentosa patients have not implicated RGS9, underscoring its selective role in rapid phototransduction recovery."}, {"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": "\nIn the central nervous system, a distinct splice variant—RGS9‐2—is enriched in the striatum where it modulates dopamine and opioid receptor signaling. RGS9‐2 forms trimeric complexes with the atypical G protein Gβ5 and membrane anchors such as R7BP, which collectively enhance its GAP activity. This assembly confers selectivity for Gα subunits, preferentially attenuating Go over Gi signals and even directly influencing receptor down‐regulation, as seen with the dopamine D2 receptor. Such discrete regulation of receptor internalization and signal termination is crucial for controlling motor function, reward processing, and possibly susceptibility to movement and psychiatric disorders."}, {"type": "fg", "children": [{"type": "fg_fs", "start_ref": "5", "end_ref": "8"}]}, {"type": "t", "text": "\n"}]}, {"type": "t", "text": "\n\n"}, {"type": "p", "children": [{"type": "t", "text": "\nThe functional effectiveness of RGS9 is intimately linked to its ability to form a stable complex with partner proteins. Biochemical studies have demonstrated that the association with Gβ5 is necessary for facilitating the binding of membrane anchors and, thereby, ensuring proper subcellular localization and proteolytic stability. Investigations using yeast complementation models have further underscored that the GGL domain of RGS9 is critical for its interaction with Gβ5, suggesting that under certain cellular conditions the RGS9/Gβ5 complex may even mimic traditional Gβγ functions."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "9"}]}, {"type": "t", "text": "\n"}]}, {"type": "t", "text": "\n\n"}, {"type": "p", "children": [{"type": "t", "text": "\nGenetic variations in the RGS9 gene have been implicated in a variety of clinical conditions linked to aberrant GPCR signaling. For instance, altered RGS9 activity has been associated with tardive dyskinesia in patients chronically treated with antipsychotics, while polymorphisms have also been correlated with susceptibility to heroin dependence and schizophrenia. In addition, experimental modulation of RGS9‐2 levels in the nucleus accumbens influences body weight, with overexpression reducing and knockout leading to increased adiposity. These findings, together with broader studies on genetic variations in RGS family members, highlight the significance of RGS9 in maintaining precise GPCR signaling thresholds in both neurological and metabolic contexts."}, {"type": "fg", "children": [{"type": "fg_fs", "start_ref": "11", "end_ref": "15"}]}, {"type": "t", "text": "\n"}]}, {"type": "rg", "children": [{"type": "r", "ref": 1, "children": [{"type": "t", "text": "Koji M Nishiguchi, Michael A Sandberg, Aart C Kooijman, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Defects in RGS9 or its anchor protein R9AP in patients with slow photoreceptor deactivation."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Nature (2004)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1038/nature02170"}], "href": "https://doi.org/10.1038/nature02170"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "14702087"}], "href": "https://pubmed.ncbi.nlm.nih.gov/14702087"}]}, {"type": "r", "ref": 2, "children": [{"type": "t", "text": "Michel Michaelides, Zheng Li, Naheed A Rana, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Novel mutations and electrophysiologic findings in RGS9- and R9AP-associated retinal dysfunction (Bradyopsia)."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Ophthalmology (2010)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1016/j.ophtha.2009.06.011"}], "href": "https://doi.org/10.1016/j.ophtha.2009.06.011"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "19818506"}], "href": "https://pubmed.ncbi.nlm.nih.gov/19818506"}]}, {"type": "r", "ref": 3, "children": [{"type": "t", "text": "Arif O Khan "}, {"type": "b", "children": [{"type": "t", "text": "The clinical presentation of bradyopsia in children."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "J AAPOS (2017)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1016/j.jaapos.2017.07.212"}], "href": "https://doi.org/10.1016/j.jaapos.2017.07.212"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "29107794"}], "href": "https://pubmed.ncbi.nlm.nih.gov/29107794"}]}, {"type": "r", "ref": 4, "children": [{"type": "t", "text": "Qing-jiong Zhang, Wei Li, Xue-shan Xiao, et al. "}, {"type": "b", "children": [{"type": "t", "text": "[Analysis of GUCA1B,GNGT1 and RGS9 genes in patients with retinitis pigmentosa]."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Yi Chuan (2002)"}]}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "15901556"}], "href": "https://pubmed.ncbi.nlm.nih.gov/15901556"}]}, {"type": "r", "ref": 5, "children": [{"type": "t", "text": "Kirill A Martemyanov, Vadim Y Arshavsky "}, {"type": "b", "children": [{"type": "t", "text": "Biology and functions of the RGS9 isoforms."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Prog Mol Biol Transl Sci (2009)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1016/S1877-1173(09)86007-9"}], "href": "https://doi.org/10.1016/S1877-1173(09"}, {"type": "t", "text": "86007-9) PMID: "}, {"type": "a", "children": [{"type": "t", "text": "20374717"}], "href": "https://pubmed.ncbi.nlm.nih.gov/20374717"}]}, {"type": "r", "ref": 6, "children": [{"type": "t", "text": "Jeremy Celver, Meenakshi Sharma, Abraham Kovoor "}, {"type": "b", "children": [{"type": "t", "text": "RGS9-2 mediates specific inhibition of agonist-induced internalization of D2-dopamine receptors."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "J Neurochem (2010)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1111/j.1471-4159.2010.06805.x"}], "href": "https://doi.org/10.1111/j.1471-4159.2010.06805.x"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "20477943"}], "href": "https://pubmed.ncbi.nlm.nih.gov/20477943"}]}, {"type": "r", "ref": 7, "children": [{"type": "t", "text": "Ikuo Masuho, Keqiang Xie, Kirill A Martemyanov "}, {"type": "b", "children": [{"type": "t", "text": "Macromolecular composition dictates receptor and G protein selectivity of regulator of G protein signaling (RGS) 7 and 9-2 protein complexes in living cells."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "J Biol Chem (2013)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1074/jbc.M113.462283"}], "href": "https://doi.org/10.1074/jbc.M113.462283"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "23857581"}], "href": "https://pubmed.ncbi.nlm.nih.gov/23857581"}]}, {"type": "r", "ref": 8, "children": [{"type": "t", "text": "Mei Zheng, Sang-Yoon Cheong, Chengchun Min, et al. "}, {"type": "b", "children": [{"type": "t", "text": "β-arrestin2 plays permissive roles in the inhibitory activities of RGS9-2 on G protein-coupled receptors by maintaining RGS9-2 in the open conformation."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Mol Cell Biol (2011)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1128/MCB.05690-11"}], "href": "https://doi.org/10.1128/MCB.05690-11"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "22006018"}], "href": "https://pubmed.ncbi.nlm.nih.gov/22006018"}]}, {"type": "r", "ref": 9, "children": [{"type": "t", "text": "Ikuo Masuho, Hideko Wakasugi-Masuho, Ekaterina N Posokhova, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Type 5 G protein beta subunit (Gbeta5) controls the interaction of regulator of G protein signaling 9 (RGS9) with membrane anchors."}]}, {"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.M111.241513"}], "href": "https://doi.org/10.1074/jbc.M111.241513"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "21511947"}], "href": "https://pubmed.ncbi.nlm.nih.gov/21511947"}]}, {"type": "r", "ref": 10, "children": [{"type": "t", "text": "Seena K Ajit, Kathleen H Young "}, {"type": "b", "children": [{"type": "t", "text": "Enhancement of pheromone response by RGS9 and Gbeta5 in yeast."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Biochem Biophys Res Commun (2004)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1016/j.bbrc.2004.09.100"}], "href": "https://doi.org/10.1016/j.bbrc.2004.09.100"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "15474482"}], "href": "https://pubmed.ncbi.nlm.nih.gov/15474482"}]}, {"type": "r", "ref": 11, "children": [{"type": "t", "text": "Ying-Jay Liou, Mao-Liang Chen, Ying-Chieh Wang, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Analysis of genetic variations in the RGS9 gene and antipsychotic-induced tardive dyskinesia in schizophrenia."}]}, {"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.30796"}], "href": "https://doi.org/10.1002/ajmg.b.30796"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "18548510"}], "href": "https://pubmed.ncbi.nlm.nih.gov/18548510"}]}, {"type": "r", "ref": 12, "children": [{"type": "t", "text": "Jeffrey L Waugh, Jeremy Celver, Meenakshi Sharma, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Association between regulator of G protein signaling 9-2 and body weight."}]}, {"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.0027984"}], "href": "https://doi.org/10.1371/journal.pone.0027984"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "22132185"}], "href": "https://pubmed.ncbi.nlm.nih.gov/22132185"}]}, {"type": "r", "ref": 13, "children": [{"type": "t", "text": "Yongsheng Zhu, Hongbo Zhang "}, {"type": "b", "children": [{"type": "t", "text": "Evidence for the contribution of genetic variations in regulator of G protein signaling 9 to the genetic susceptibility of heroin dependence."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Mol Med Rep (2015)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.3892/mmr.2015.3210"}], "href": "https://doi.org/10.3892/mmr.2015.3210"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "25591550"}], "href": "https://pubmed.ncbi.nlm.nih.gov/25591550"}]}, {"type": "r", "ref": 14, "children": [{"type": "t", "text": "Y S Zhu, Y X Li, X M Qiao, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Regulators of G-protein signaling 9 genetic variations in Chinese subjects with schizophrenia."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Genet Mol Res (2015)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.4238/2015.July.28.13"}], "href": "https://doi.org/10.4238/2015.July.28.13"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "26345773"}], "href": "https://pubmed.ncbi.nlm.nih.gov/26345773"}]}, {"type": "r", "ref": 15, "children": [{"type": "t", "text": "Jianming Wang, Scott M Lippman, J Jack Lee, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Genetic variations in regulator of G-protein signaling genes as susceptibility loci for second primary tumor/recurrence in head and neck squamous cell carcinoma."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Carcinogenesis (2010)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1093/carcin/bgq138"}], "href": "https://doi.org/10.1093/carcin/bgq138"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "20627871"}], "href": "https://pubmed.ncbi.nlm.nih.gov/20627871"}]}]}]}
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| Synonyms | RGS9L, PERRS |
| Proteins | RGS9_HUMAN |
| NCBI Gene ID | 8787 |
| 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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RGS9 has 4,324 functional associations with biological entities spanning 8 categories (molecular profile, organism, disease, phenotype or trait, chemical, functional term, phrase or reference, structural feature, cell line, cell type or tissue, gene, protein or microRNA) extracted from 99 datasets.
Click the + buttons to view associations for RGS9 from the datasets below.
If available, associations are ranked by standardized value
| Dataset | Summary | |
|---|---|---|
| Achilles Cell Line Gene Essentiality Profiles | cell lines with fitness changed by RGS9 gene knockdown relative to other cell lines from the Achilles Cell Line Gene Essentiality Profiles dataset. | |
| Allen Brain Atlas Adult Human Brain Tissue Gene Expression Profiles | tissues with high or low expression of RGS9 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 RGS9 gene relative to other tissues from the Allen Brain Atlas Adult Mouse Brain Tissue Gene Expression Profiles dataset. | |
| Allen Brain Atlas Developing Human Brain Tissue Gene Expression Profiles by Microarray | tissue samples with high or low expression of RGS9 gene relative to other tissue samples from the Allen Brain Atlas Developing Human Brain Tissue Gene Expression Profiles by Microarray dataset. | |
| Allen Brain Atlas Developing Human Brain Tissue Gene Expression Profiles by RNA-seq | tissue samples with high or low expression of RGS9 gene relative to other tissue samples from the Allen Brain Atlas Developing Human Brain Tissue Gene Expression Profiles by RNA-seq dataset. | |
| Allen Brain Atlas Prenatal Human Brain Tissue Gene Expression Profiles | tissues with high or low expression of RGS9 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 RGS9 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 RGS9 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 RGS9 gene relative to other cell types and tissues from the BioGPS Mouse Cell Type and Tissue Gene Expression Profiles dataset. | |
| CCLE Cell Line Gene CNV Profiles | cell lines with high or low copy number of RGS9 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 RGS9 gene relative to other cell lines from the CCLE Cell Line Gene Expression Profiles dataset. | |
| CellMarker Gene-Cell Type Associations | cell types associated with RGS9 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 RGS9 gene from the CHEA Transcription Factor Binding Site Profiles dataset. | |
| ChEA Transcription Factor Targets | transcription factors binding the promoter of RGS9 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 RGS9 gene in low- or high-throughput transcription factor functional studies from the CHEA Transcription Factor Targets 2022 dataset. | |
| ClinVar Gene-Phenotype Associations | phenotypes associated with RGS9 gene from the curated ClinVar Gene-Phenotype Associations dataset. | |
| CMAP Signatures of Differentially Expressed Genes for Small Molecules | small molecule perturbations changing expression of RGS9 gene from the CMAP Signatures of Differentially Expressed Genes for Small Molecules dataset. | |
| COMPARTMENTS Curated Protein Localization Evidence Scores | cellular components containing RGS9 protein from the COMPARTMENTS Curated Protein Localization Evidence Scores dataset. | |
| COMPARTMENTS Text-mining Protein Localization Evidence Scores | cellular components co-occuring with RGS9 protein in abstracts of biomedical publications from the COMPARTMENTS Text-mining Protein Localization Evidence Scores dataset. | |
| COSMIC Cell Line Gene CNV Profiles | cell lines with high or low copy number of RGS9 gene relative to other cell lines from the COSMIC Cell Line Gene CNV Profiles dataset. | |
| COSMIC Cell Line Gene Mutation Profiles | cell lines with RGS9 gene mutations from the COSMIC Cell Line Gene Mutation Profiles dataset. | |
| CTD Gene-Chemical Interactions | chemicals interacting with RGS9 gene/protein from the curated CTD Gene-Chemical Interactions dataset. | |
| CTD Gene-Disease Associations | diseases associated with RGS9 gene/protein from the curated CTD Gene-Disease Associations dataset. | |
| DepMap CRISPR Gene Dependency | cell lines with fitness changed by RGS9 gene knockdown relative to other cell lines from the DepMap CRISPR Gene Dependency dataset. | |
| DISEASES Curated Gene-Disease Association Evidence Scores 2025 | diseases involving RGS9 gene from the DISEASES Curated Gene-Disease Association Evidence Scores 2025 dataset. | |
| DISEASES Experimental Gene-Disease Association Evidence Scores | diseases associated with RGS9 gene in GWAS datasets from the DISEASES Experimental Gene-Disease Assocation Evidence Scores dataset. | |
| DISEASES Text-mining Gene-Disease Association Evidence Scores | diseases co-occuring with RGS9 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 RGS9 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 RGS9 gene in GWAS and other genetic association datasets from the DisGeNET Gene-Disease Associations dataset. | |
| DisGeNET Gene-Phenotype Associations | phenotypes associated with RGS9 gene in GWAS and other genetic association datasets from the DisGeNET Gene-Phenoptype Associations dataset. | |
| ENCODE Histone Modification Site Profiles | histone modification site profiles with high histone modification abundance at RGS9 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 RGS9 gene from the ENCODE Transcription Factor Binding Site Profiles dataset. | |
| ENCODE Transcription Factor Targets | transcription factors binding the promoter of RGS9 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 RGS9 from the ESCAPE Omics Signatures of Genes and Proteins for Stem Cells dataset. | |
| GAD Gene-Disease Associations | diseases associated with RGS9 gene in GWAS and other genetic association datasets from the GAD Gene-Disease Associations dataset. | |
| GAD High Level Gene-Disease Associations | diseases associated with RGS9 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 RGS9 gene relative to other cell lines from the GDSC Cell Line Gene Expression Profiles dataset. | |
| GeneRIF Biological Term Annotations | biological terms co-occuring with RGS9 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 RGS9 from the GeneSigDB Published Gene Signatures dataset. | |
| GEO Signatures of Differentially Expressed Genes for Diseases | disease perturbations changing expression of RGS9 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 RGS9 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 RGS9 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 RGS9 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 RGS9 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 RGS9 gene from the GEO Signatures of Differentially Expressed Genes for Viral Infections dataset. | |
| GO Biological Process Annotations 2015 | biological processes involving RGS9 gene from the curated GO Biological Process Annotations 2015 dataset. | |
| GO Biological Process Annotations 2023 | biological processes involving RGS9 gene from the curated GO Biological Process Annotations 2023 dataset. | |
| GO Cellular Component Annotations 2015 | cellular components containing RGS9 protein from the curated GO Cellular Component Annotations 2015 dataset. | |
| GO Cellular Component Annotations 2023 | cellular components containing RGS9 protein from the curated GO Cellular Component Annotations 2023 dataset. | |
| GO Molecular Function Annotations 2015 | molecular functions performed by RGS9 gene from the curated GO Molecular Function Annotations 2015 dataset. | |
| GO Molecular Function Annotations 2023 | molecular functions performed by RGS9 gene from the curated GO Molecular Function Annotations 2023 dataset. | |
| GTEx Tissue Gene Expression Profiles | tissues with high or low expression of RGS9 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 RGS9 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 RGS9 gene relative to other tissue samples from the GTEx Tissue Sample Gene Expression Profiles dataset. | |
| GTEx Tissue-Specific Aging Signatures | tissue samples with high or low expression of RGS9 gene relative to other tissue samples from the GTEx Tissue-Specific Aging Signatures dataset. | |
| GWASdb SNP-Disease Associations | diseases associated with RGS9 gene in GWAS and other genetic association datasets from the GWASdb SNP-Disease Associations dataset. | |
| GWASdb SNP-Phenotype Associations | phenotypes associated with RGS9 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 RGS9 gene relative to other cell lines from the Heiser et al., PNAS, 2011 Cell Line Gene Expression Profiles dataset. | |
| HPA Cell Line Gene Expression Profiles | cell lines with high or low expression of RGS9 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 RGS9 gene relative to other tissues from the HPA Tissue Gene Expression Profiles dataset. | |
| HPA Tissue Sample Gene Expression Profiles | tissue samples with high or low expression of RGS9 gene relative to other tissue samples from the HPA Tissue Sample Gene Expression Profiles dataset. | |
| HPO Gene-Disease Associations | phenotypes associated with RGS9 gene by mapping known disease genes to disease phenotypes from the HPO Gene-Disease Associations dataset. | |
| HuGE Navigator Gene-Phenotype Associations | phenotypes associated with RGS9 gene by text-mining GWAS publications from the HuGE Navigator Gene-Phenotype Associations dataset. | |
| InterPro Predicted Protein Domain Annotations | protein domains predicted for RGS9 protein from the InterPro Predicted Protein Domain Annotations dataset. | |
| JASPAR Predicted Transcription Factor Targets | transcription factors regulating expression of RGS9 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 RGS9 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 RGS9 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 RGS9 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 RGS9 gene from the LINCS L1000 CMAP Chemical Perturbations Consensus Signatures dataset. | |
| LOCATE Predicted Protein Localization Annotations | cellular components predicted to contain RGS9 protein from the LOCATE Predicted Protein Localization Annotations dataset. | |
| MGI Mouse Phenotype Associations 2023 | phenotypes of transgenic mice caused by RGS9 gene mutations from the MGI Mouse Phenotype Associations 2023 dataset. | |
| MotifMap Predicted Transcription Factor Targets | transcription factors regulating expression of RGS9 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 RGS9 gene mutations from the MPO Gene-Phenotype Associations dataset. | |
| NURSA Protein Complexes | protein complexs containing RGS9 protein recovered by IP-MS from the NURSA Protein Complexes dataset. | |
| OMIM Gene-Disease Associations | phenotypes associated with RGS9 gene from the curated OMIM Gene-Disease Associations dataset. | |
| PANTHER Pathways | pathways involving RGS9 protein from the PANTHER Pathways dataset. | |
| Pathway Commons Protein-Protein Interactions | interacting proteins for RGS9 from the Pathway Commons Protein-Protein Interactions dataset. | |
| PerturbAtlas Signatures of Differentially Expressed Genes for Gene Perturbations | gene perturbations changing expression of RGS9 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 RGS9 gene from the PerturbAtlas Signatures of Differentially Expressed Genes for Gene Perturbations dataset. | |
| PFOCR Pathway Figure Associations 2023 | pathways involving RGS9 protein from the PFOCR Pathway Figure Associations 2023 dataset. | |
| PFOCR Pathway Figure Associations 2024 | pathways involving RGS9 protein from the Wikipathways PFOCR 2024 dataset. | |
| Phosphosite Textmining Biological Term Annotations | biological terms co-occuring with RGS9 protein in abstracts of publications describing phosphosites from the Phosphosite Textmining Biological Term Annotations dataset. | |
| PID Pathways | pathways involving RGS9 protein from the PID Pathways dataset. | |
| Reactome Pathways 2014 | pathways involving RGS9 protein from the Reactome Pathways dataset. | |
| Reactome Pathways 2024 | pathways involving RGS9 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 RGS9 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 RGS9 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 RGS9 gene from the Roadmap Epigenomics Histone Modification Site Profiles dataset. | |
| RummaGEO Drug Perturbation Signatures | drug perturbations changing expression of RGS9 gene from the RummaGEO Drug Perturbation Signatures dataset. | |
| RummaGEO Gene Perturbation Signatures | gene perturbations changing expression of RGS9 gene from the RummaGEO Gene Perturbation Signatures dataset. | |
| SynGO Synaptic Gene Annotations | synaptic terms associated with RGS9 gene from the SynGO Synaptic Gene Annotations dataset. | |
| TargetScan Predicted Conserved microRNA Targets | microRNAs regulating expression of RGS9 gene predicted using conserved miRNA seed sequences from the TargetScan Predicted Conserved microRNA Targets dataset. | |
| TargetScan Predicted Nonconserved microRNA Targets | microRNAs regulating expression of RGS9 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 RGS9 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 RGS9 protein from the TISSUES Curated Tissue Protein Expression Evidence Scores dataset. | |
| TISSUES Experimental Tissue Protein Expression Evidence Scores | tissues with high expression of RGS9 protein in proteomics datasets from the TISSUES Experimental Tissue Protein Expression Evidence Scores dataset. | |
| TISSUES Text-mining Tissue Protein Expression Evidence Scores | tissues co-occuring with RGS9 protein in abstracts of biomedical publications from the TISSUES Text-mining Tissue Protein Expression Evidence Scores dataset. | |
| WikiPathways Pathways 2014 | pathways involving RGS9 protein from the Wikipathways Pathways 2014 dataset. | |
| WikiPathways Pathways 2024 | pathways involving RGS9 protein from the WikiPathways Pathways 2024 dataset. | |