| HGNC Family | Regulators of G-protein signaling (RGS) |
| Name | regulator of G-protein signaling 16 |
| Description | The protein encoded by this gene belongs to the 'regulator of G protein signaling' family. It inhibits signal transduction by increasing the GTPase activity of G protein alpha subunits. It also may play a role in regulating the kinetics of signaling in the phototransduction cascade. [provided by RefSeq, Jul 2008] |
| Summary |
{"type": "root", "children": [{"type": "p", "children": [{"type": "t", "text": "\nAltered expression and genetic dysregulation of RGS16 are increasingly recognized as critical determinants in tumor progression and therapeutic response across diverse malignancies. In hematologic cancers, chromosomal duplications at 1q that encompass the RGS16 locus suggest a role in leukemogenesis."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "1"}]}, {"type": "t", "text": " In breast cancer, epigenetic silencing by promoter methylation and allelic imbalance affecting RGS16 correlates with the restoration of tumor‐suppressive gene expression following combined inhibition of epigenetic modifiers, while RGS16 overexpression has been shown to impair growth factor–triggered PI3K/Akt signaling and to enhance sensitivity to tyrosine kinase inhibitors."}, {"type": "fg", "children": [{"type": "fg_fs", "start_ref": "2", "end_ref": "5"}]}, {"type": "t", "text": " In chondrosarcoma, suppression of RGS16 by the oncomiR miR-181a potentiates CXCR4-driven pro-metastatic signaling"}, {"type": "fg", "children": [{"type": "fg_f", "ref": "6"}]}, {"type": "t", "text": ", and in breast cancer another layer of regulation is provided by δEF1 family proteins that repress RGS16 expression to promote cell motility."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "7"}]}, {"type": "t", "text": " Moreover, diminished RGS16 expression in pancreatic tumors has been associated with lymph node metastasis"}, {"type": "fg", "children": [{"type": "fg_f", "ref": "8"}]}, {"type": "t", "text": ", while in colorectal cancer elevated RGS16 levels restrain apoptosis and thereby facilitate tumor progression."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "9"}]}, {"type": "t", "text": " In glioma, high RGS16 expression correlates with aggressive behavior and poor patient survival."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "10"}]}, {"type": "t", "text": " Finally, aberrant RGS16 upregulation in liver cells—observed in the context of mutant alpha₁-antitrypsin accumulation—further underscores its involvement in cellular stress responses."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "12"}]}, {"type": "t", "text": "\n"}]}, {"type": "t", "text": "\n\n"}, {"type": "p", "children": [{"type": "t", "text": "\nAt the molecular level, RGS16 functions as a GTPase-activating protein that attenuates G protein–coupled receptor (GPCR) signaling. Its activity critically depends on precise post-translational modifications; for example, N-terminal palmitoylation and subsequent acylation within its conserved RGS box are essential for proper membrane targeting and robust GAP activity."}, {"type": "fg", "children": [{"type": "fg_fs", "start_ref": "13", "end_ref": "15"}]}, {"type": "t", "text": " In addition, RGS16 directly interacts with specific G protein α subunits, such as Gα₁₃, to suppress RhoA-dependent signaling cascades and serum response element activation"}, {"type": "fg", "children": [{"type": "fg_f", "ref": "16"}]}, {"type": "t", "text": ", and it acts as a negative regulator of CXCR4-mediated pathways in megakaryocytes by dampening MAPK and AKT activation."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "17"}]}, {"type": "t", "text": " Mutation screening studies further emphasize the importance of its conserved domains for proper function."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "18"}]}, {"type": "t", "text": " Beyond these roles, RGS16 is indispensable for maintaining circadian regulation through modulation of cAMP levels in the suprachiasmatic nucleus"}, {"type": "fg", "children": [{"type": "fg_f", "ref": "19"}]}, {"type": "t", "text": ", and it can directly associate with protease-activated receptors such as PAR2 to fine-tune GPCR-mediated responses."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "20"}]}, {"type": "t", "text": "\n"}]}, {"type": "t", "text": "\n\n"}, {"type": "p", "children": [{"type": "t", "text": "\nBeyond its roles in cancer and GPCR signaling, RGS16 is emerging as an important regulator in immune and neuropsychiatric contexts. Altered expression of RGS16 has been noted within gene clusters implicated in brain function and linked to neuropsychiatric disorders such as schizophrenia"}, {"type": "fg", "children": [{"type": "fg_f", "ref": "21"}]}, {"type": "t", "text": ", and broader reviews underscore how members of the RGS family govern cellular proliferation, differentiation, and signal transduction."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "23"}]}, {"type": "t", "text": " In the immune system, RGS16 modulates inflammatory responses; overexpression in monocytes dampens the induction of pro-inflammatory cytokines, thus contributing to the fine-tuning of immune activation."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "24"}]}, {"type": "t", "text": " Moreover, aberrant RGS16 expression has been implicated in chronic inflammatory diseases such as ulcerative colitis, suggesting its potential utility as both a biomarker and therapeutic target in such conditions."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "25"}]}, {"type": "t", "text": "\n"}]}, {"type": "rg", "children": [{"type": "r", "ref": 1, "children": [{"type": "t", "text": "Josef Davidsson, Anna Andersson, Kajsa Paulsson, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Tiling resolution array comparative genomic hybridization, expression and methylation analyses of dup(1q) in Burkitt lymphomas and pediatric high hyperdiploid acute lymphoblastic leukemias reveal clustered near-centromeric breakpoints and overexpression of genes in 1q22-32.3."}]}, {"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/ddm173"}], "href": "https://doi.org/10.1093/hmg/ddm173"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "17613536"}], "href": "https://pubmed.ncbi.nlm.nih.gov/17613536"}]}, {"type": "r", "ref": 2, "children": [{"type": "t", "text": "Emilia Wiechec, Jens Overgaard, Lise Lotte Hansen "}, {"type": "b", "children": [{"type": "t", "text": "A fragile site within the HPC1 region at 1q25.3 affecting RGS16, RGSL1, and RGSL2 in human breast carcinomas."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Genes Chromosomes Cancer (2008)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1002/gcc.20578"}], "href": "https://doi.org/10.1002/gcc.20578"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "18521847"}], "href": "https://pubmed.ncbi.nlm.nih.gov/18521847"}]}, {"type": "r", "ref": 3, "children": [{"type": "t", "text": "Genqing Liang, Geetanjali Bansal, Zhihui Xie, et al. "}, {"type": "b", "children": [{"type": "t", "text": "RGS16 inhibits breast cancer cell growth by mitigating phosphatidylinositol 3-kinase signaling."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "J Biol Chem (2009)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1074/jbc.M109.028407"}], "href": "https://doi.org/10.1074/jbc.M109.028407"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "19509421"}], "href": "https://pubmed.ncbi.nlm.nih.gov/19509421"}]}, {"type": "r", "ref": 4, "children": [{"type": "t", "text": "Emilia Wiechec, Jens Overgaard, Eigil Kjeldsen, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Chromosome 1q25.3 copy number alterations in primary breast cancers detected by multiplex ligation-dependent probe amplification and allelic imbalance assays and its comparison with fluorescent in situ hybridization assays."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Cell Oncol (Dordr) (2013)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1007/s13402-012-0117-1"}], "href": "https://doi.org/10.1007/s13402-012-0117-1"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "23248035"}], "href": "https://pubmed.ncbi.nlm.nih.gov/23248035"}]}, {"type": "r", "ref": 5, "children": [{"type": "t", "text": "Shauna N Vasilatos, Tiffany A Katz, Steffi Oesterreich, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Crosstalk between lysine-specific demethylase 1 (LSD1) and histone deacetylases mediates antineoplastic efficacy of HDAC inhibitors in human breast cancer cells."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Carcinogenesis (2013)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1093/carcin/bgt033"}], "href": "https://doi.org/10.1093/carcin/bgt033"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "23354309"}], "href": "https://pubmed.ncbi.nlm.nih.gov/23354309"}]}, {"type": "r", "ref": 6, "children": [{"type": "t", "text": "Xiaojuan Sun, Cherie Charbonneau, Lei Wei, et al. "}, {"type": "b", "children": [{"type": "t", "text": "miR-181a Targets RGS16 to Promote Chondrosarcoma Growth, Angiogenesis, and Metastasis."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Mol Cancer Res (2015)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1158/1541-7786.MCR-14-0697"}], "href": "https://doi.org/10.1158/1541-7786.MCR-14-0697"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "26013170"}], "href": "https://pubmed.ncbi.nlm.nih.gov/26013170"}]}, {"type": "r", "ref": 7, "children": [{"type": "t", "text": "Yuta Hoshi, Kaori Endo, Takuya Shirakihara, et al. "}, {"type": "b", "children": [{"type": "t", "text": "The potential role of regulator of G-protein signaling 16 in cell motility mediated by δEF1 family proteins."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "FEBS Lett (2016)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1002/1873-3468.12042"}], "href": "https://doi.org/10.1002/1873-3468.12042"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "26823172"}], "href": "https://pubmed.ncbi.nlm.nih.gov/26823172"}]}, {"type": "r", "ref": 8, "children": [{"type": "t", "text": "Ji Hyang Kim, Jin Young Lee, Kyu Taek Lee, et al. "}, {"type": "b", "children": [{"type": "t", "text": "RGS16 and FosB underexpressed in pancreatic cancer with lymph node metastasis promote tumor progression."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Tumour Biol (2010)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1007/s13277-010-0067-z"}], "href": "https://doi.org/10.1007/s13277-010-0067-z"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "20571966"}], "href": "https://pubmed.ncbi.nlm.nih.gov/20571966"}]}, {"type": "r", "ref": 9, "children": [{"type": "t", "text": "Hao Shen, Jie Yuan, Dafeng Tong, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Regulator of G protein signaling 16 restrains apoptosis in colorectal cancer through disrupting TRAF6-TAB2-TAK1-JNK/p38 MAPK signaling."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Cell Death Dis (2024)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1038/s41419-024-06803-6"}], "href": "https://doi.org/10.1038/s41419-024-06803-6"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "38906869"}], "href": "https://pubmed.ncbi.nlm.nih.gov/38906869"}]}, {"type": "r", "ref": 10, "children": [{"type": "t", "text": "Ruoyu Huang, Guanzhang Li, Zheng Zhao, et al. "}, {"type": "b", "children": [{"type": "t", "text": "RGS16 promotes glioma progression and serves as a prognostic factor."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "CNS Neurosci Ther (2020)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1111/cns.13382"}], "href": "https://doi.org/10.1111/cns.13382"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "32319728"}], "href": "https://pubmed.ncbi.nlm.nih.gov/32319728"}]}, {"type": "r", "ref": 11, "children": [{"type": "t", "text": "Chaochao Wang, Hao Xue, Rongrong Zhao, et al. "}, {"type": "b", "children": [{"type": "t", "text": "RGS16 regulated by let-7c-5p promotes glioma progression by activating PI3K-AKT pathway."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Front Med (2023)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1007/s11684-022-0929-y"}], "href": "https://doi.org/10.1007/s11684-022-0929-y"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "36414916"}], "href": "https://pubmed.ncbi.nlm.nih.gov/36414916"}]}, {"type": "r", "ref": 12, "children": [{"type": "t", "text": "Tunda Hidvegi, Karoly Mirnics, Pamela Hale, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Regulator of G Signaling 16 is a marker for the distinct endoplasmic reticulum stress state associated with aggregated mutant alpha1-antitrypsin Z in the classical form of alpha1-antitrypsin deficiency."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "J Biol Chem (2007)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1074/jbc.M704330200"}], "href": "https://doi.org/10.1074/jbc.M704330200"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "17635928"}], "href": "https://pubmed.ncbi.nlm.nih.gov/17635928"}]}, {"type": "r", "ref": 13, "children": [{"type": "t", "text": "Alexandrine Derrien, Bin Zheng, James L Osterhout, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Src-mediated RGS16 tyrosine phosphorylation promotes RGS16 stability."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "J Biol Chem (2003)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1074/jbc.M210371200"}], "href": "https://doi.org/10.1074/jbc.M210371200"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "12588871"}], "href": "https://pubmed.ncbi.nlm.nih.gov/12588871"}]}, {"type": "r", "ref": 14, "children": [{"type": "t", "text": "James L Osterhout, Abdul A Waheed, Abel Hiol, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Palmitoylation regulates regulator of G-protein signaling (RGS) 16 function. II. Palmitoylation of a cysteine residue in the RGS box is critical for RGS16 GTPase accelerating activity and regulation of Gi-coupled signalling."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "J Biol Chem (2003)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1074/jbc.M210124200"}], "href": "https://doi.org/10.1074/jbc.M210124200"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "12642592"}], "href": "https://pubmed.ncbi.nlm.nih.gov/12642592"}]}, {"type": "r", "ref": 15, "children": [{"type": "t", "text": "Abel Hiol, Penelope C Davey, James L Osterhout, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Palmitoylation regulates regulators of G-protein signaling (RGS) 16 function. I. Mutation of amino-terminal cysteine residues on RGS16 prevents its targeting to lipid rafts and palmitoylation of an internal cysteine residue."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "J Biol Chem (2003)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1074/jbc.M210123200"}], "href": "https://doi.org/10.1074/jbc.M210123200"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "12642593"}], "href": "https://pubmed.ncbi.nlm.nih.gov/12642593"}]}, {"type": "r", "ref": 16, "children": [{"type": "t", "text": "Eric N Johnson, Tammy M Seasholtz, Abdul A Waheed, et al. "}, {"type": "b", "children": [{"type": "t", "text": "RGS16 inhibits signalling through the G alpha 13-Rho axis."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Nat Cell Biol (2003)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1038/ncb1065"}], "href": "https://doi.org/10.1038/ncb1065"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "14634662"}], "href": "https://pubmed.ncbi.nlm.nih.gov/14634662"}]}, {"type": "r", "ref": 17, "children": [{"type": "t", "text": "Magali Berthebaud, Christel Rivière, Peggy Jarrier, et al. "}, {"type": "b", "children": [{"type": "t", "text": "RGS16 is a negative regulator of SDF-1-CXCR4 signaling in megakaryocytes."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Blood (2005)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1182/blood-2005-02-0526"}], "href": "https://doi.org/10.1182/blood-2005-02-0526"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "15998835"}], "href": "https://pubmed.ncbi.nlm.nih.gov/15998835"}]}, {"type": "r", "ref": 18, "children": [{"type": "t", "text": "Emilia Wiechec, Carsten Wiuf, Jens Overgaard, et al. "}, {"type": "b", "children": [{"type": "t", "text": "High-resolution melting analysis for mutation screening of RGSL1, RGS16, and RGS8 in breast cancer."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Cancer Epidemiol Biomarkers Prev (2011)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1158/1055-9965.EPI-10-0514"}], "href": "https://doi.org/10.1158/1055-9965.EPI-10-0514"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "21135262"}], "href": "https://pubmed.ncbi.nlm.nih.gov/21135262"}]}, {"type": "r", "ref": 19, "children": [{"type": "t", "text": "Kaoru Goto, Masao Doi, Tianyu Wang, et al. "}, {"type": "b", "children": [{"type": "t", "text": "G-protein-coupled receptor signaling through Gpr176, Gz, and RGS16 tunes time in the center of the circadian clock [Review]."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Endocr J (2017)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1507/endocrj.EJ17-0130"}], "href": "https://doi.org/10.1507/endocrj.EJ17-0130"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "28502923"}], "href": "https://pubmed.ncbi.nlm.nih.gov/28502923"}]}, {"type": "r", "ref": 20, "children": [{"type": "t", "text": "Kiman Kim, Jinyong Lee, Sungho Ghil "}, {"type": "b", "children": [{"type": "t", "text": "The regulators of G protein signaling RGS16 and RGS18 inhibit protease-activated receptor 2/Gi/o signaling through distinct interactions with Gα in live cells."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "FEBS Lett (2018)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1002/1873-3468.13220"}], "href": "https://doi.org/10.1002/1873-3468.13220"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "30117167"}], "href": "https://pubmed.ncbi.nlm.nih.gov/30117167"}]}, {"type": "r", "ref": 21, "children": [{"type": "t", "text": "Daniel B Campbell, Leslie A Lange, Tara Skelly, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Association of RGS2 and RGS5 variants with schizophrenia symptom severity."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Schizophr Res (2008)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1016/j.schres.2008.01.006"}], "href": "https://doi.org/10.1016/j.schres.2008.01.006"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "18262772"}], "href": "https://pubmed.ncbi.nlm.nih.gov/18262772"}]}, {"type": "r", "ref": 22, "children": [{"type": "t", "text": "Yaen Shriebman, Assif Yitzhaky, Mickey Kosloff, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Gene expression meta-analysis in patients with schizophrenia reveals up-regulation of RGS2 and RGS16 in Brodmann Area 10."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Eur J Neurosci (2023)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1111/ejn.15876"}], "href": "https://doi.org/10.1111/ejn.15876"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "36443250"}], "href": "https://pubmed.ncbi.nlm.nih.gov/36443250"}]}, {"type": "r", "ref": 23, "children": [{"type": "t", "text": "Norikatsu Miyoshi, Hideshi Ishii, Mitsugu Sekimoto, et al. "}, {"type": "b", "children": [{"type": "t", "text": "RGS16 is a marker for prognosis in colorectal cancer."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Ann Surg Oncol (2009)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1245/s10434-009-0690-3"}], "href": "https://doi.org/10.1245/s10434-009-0690-3"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "19760045"}], "href": "https://pubmed.ncbi.nlm.nih.gov/19760045"}]}, {"type": "r", "ref": 24, "children": [{"type": "t", "text": "J Suurväli, M Pahtma, R Saar, et al. "}, {"type": "b", "children": [{"type": "t", "text": "RGS16 restricts the pro-inflammatory response of monocytes."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Scand J Immunol (2015)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1111/sji.12250"}], "href": "https://doi.org/10.1111/sji.12250"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "25366993"}], "href": "https://pubmed.ncbi.nlm.nih.gov/25366993"}]}, {"type": "r", "ref": 25, "children": [{"type": "t", "text": "Fengqin Zhu, Yufen Qin, Yan Wang, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Critical roles of RGS16 in the mucosal inflammation of ulcerative colitis."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Eur J Gastroenterol Hepatol (2022)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1097/MEG.0000000000002407"}], "href": "https://doi.org/10.1097/MEG.0000000000002407"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "35830366"}], "href": "https://pubmed.ncbi.nlm.nih.gov/35830366"}]}]}]}
|
| Synonyms | A28-RGS14, RGS-R, A28-RGS14P |
| Proteins | RGS16_HUMAN |
| NCBI Gene ID | 6004 |
| API | |
| Download Associations | |
| Predicted Functions |
![]() |
| Co-expressed Genes |
![]() |
| Expression in Tissues and Cell Lines |
![]() |
RGS16 has 8,868 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 116 datasets.
Click the + buttons to view associations for RGS16 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 RGS16 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 RGS16 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 RGS16 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 RGS16 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 RGS16 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 RGS16 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 RGS16 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 RGS16 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 RGS16 gene relative to other cell types and tissues from the BioGPS Human Cell Type and Tissue Gene Expression Profiles dataset. | |
| Carcinogenome Chemical Perturbation Carcinogenicity Signatures | small molecule perturbations changing expression of RGS16 gene from the Carcinogenome Chemical Perturbation Carcinogenicity Signatures dataset. | |
| CCLE Cell Line Gene CNV Profiles | cell lines with high or low copy number of RGS16 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 RGS16 gene relative to other cell lines from the CCLE Cell Line Gene Expression Profiles dataset. | |
| CellMarker Gene-Cell Type Associations | cell types associated with RGS16 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 RGS16 gene from the CHEA Transcription Factor Binding Site Profiles dataset. | |
| ChEA Transcription Factor Targets | transcription factors binding the promoter of RGS16 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 RGS16 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 RGS16 gene from the CMAP Signatures of Differentially Expressed Genes for Small Molecules dataset. | |
| COMPARTMENTS Curated Protein Localization Evidence Scores | cellular components containing RGS16 protein from the COMPARTMENTS Curated Protein Localization Evidence Scores dataset. | |
| COMPARTMENTS Experimental Protein Localization Evidence Scores 2025 | cellular components containing RGS16 protein in low- or high-throughput protein localization assays from the COMPARTMENTS Experimental Protein Localization Evidence Scores 2025 dataset. | |
| COMPARTMENTS Text-mining Protein Localization Evidence Scores | cellular components co-occuring with RGS16 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 RGS16 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 RGS16 gene relative to other cell lines from the COSMIC Cell Line Gene CNV Profiles dataset. | |
| COSMIC Cell Line Gene Mutation Profiles | cell lines with RGS16 gene mutations from the COSMIC Cell Line Gene Mutation Profiles dataset. | |
| CTD Gene-Disease Associations | diseases associated with RGS16 gene/protein from the curated CTD Gene-Disease Associations dataset. | |
| DepMap CRISPR Gene Dependency | cell lines with fitness changed by RGS16 gene knockdown relative to other cell lines from the DepMap CRISPR Gene Dependency dataset. | |
| DISEASES Experimental Gene-Disease Association Evidence Scores 2025 | diseases associated with RGS16 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 RGS16 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 RGS16 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 RGS16 gene in GWAS and other genetic association datasets from the DisGeNET Gene-Disease Associations dataset. | |
| DisGeNET Gene-Phenotype Associations | phenotypes associated with RGS16 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 RGS16 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 RGS16 gene from the ENCODE Transcription Factor Binding Site Profiles dataset. | |
| ENCODE Transcription Factor Targets | transcription factors binding the promoter of RGS16 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 RGS16 from the ESCAPE Omics Signatures of Genes and Proteins for Stem Cells dataset. | |
| GAD Gene-Disease Associations | diseases associated with RGS16 gene in GWAS and other genetic association datasets from the GAD Gene-Disease Associations dataset. | |
| GAD High Level Gene-Disease Associations | diseases associated with RGS16 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 RGS16 gene relative to other cell lines from the GDSC Cell Line Gene Expression Profiles dataset. | |
| GeneRIF Biological Term Annotations | biological terms co-occuring with RGS16 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 RGS16 from the GeneSigDB Published Gene Signatures dataset. | |
| GEO Signatures of Differentially Expressed Genes for Diseases | disease perturbations changing expression of RGS16 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 RGS16 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 RGS16 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 RGS16 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 RGS16 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 RGS16 gene from the GEO Signatures of Differentially Expressed Genes for Viral Infections dataset. | |
| GO Biological Process Annotations 2015 | biological processes involving RGS16 gene from the curated GO Biological Process Annotations 2015 dataset. | |
| GO Biological Process Annotations 2023 | biological processes involving RGS16 gene from the curated GO Biological Process Annotations 2023 dataset. | |
| GO Biological Process Annotations 2025 | biological processes involving RGS16 gene from the curated GO Biological Process Annotations2025 dataset. | |
| GO Cellular Component Annotations 2015 | cellular components containing RGS16 protein from the curated GO Cellular Component Annotations 2015 dataset. | |
| GO Molecular Function Annotations 2015 | molecular functions performed by RGS16 gene from the curated GO Molecular Function Annotations 2015 dataset. | |
| GO Molecular Function Annotations 2023 | molecular functions performed by RGS16 gene from the curated GO Molecular Function Annotations 2023 dataset. | |
| GO Molecular Function Annotations 2025 | molecular functions performed by RGS16 gene from the curated GO Molecular Function Annotations 2025 dataset. | |
| GTEx Tissue Gene Expression Profiles | tissues with high or low expression of RGS16 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 RGS16 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 RGS16 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 RGS16 gene relative to other tissue samples from the GTEx Tissue-Specific Aging Signatures dataset. | |
| GWAS Catalog SNP-Phenotype Associations 2025 | phenotypes associated with RGS16 gene in GWAS datasets from the GWAS Catalog SNP-Phenotype Associations 2025 dataset. | |
| Heiser et al., PNAS, 2011 Cell Line Gene Expression Profiles | cell lines with high or low expression of RGS16 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 RGS16 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 RGS16 gene relative to other tissues from the HPA Tissue Gene Expression Profiles dataset. | |
| HPA Tissue Protein Expression Profiles | tissues with high or low expression of RGS16 protein relative to other tissues from the HPA Tissue Protein Expression Profiles dataset. | |
| HPA Tissue Sample Gene Expression Profiles | tissue samples with high or low expression of RGS16 gene relative to other tissue samples from the HPA Tissue Sample Gene Expression Profiles dataset. | |
| Hub Proteins Protein-Protein Interactions | interacting hub proteins for RGS16 from the curated Hub Proteins Protein-Protein Interactions dataset. | |
| HuBMAP ASCT+B Annotations | cell types associated with RGS16 gene from the HuBMAP ASCT+B dataset. | |
| HuBMAP ASCT+B Augmented with RNA-seq Coexpression | cell types associated with RGS16 gene from the HuBMAP ASCT+B Augmented with RNA-seq Coexpression dataset. | |
| HuBMAP Azimuth Cell Type Annotations | cell types associated with RGS16 gene from the HuBMAP Azimuth Cell Type Annotations dataset. | |
| HuGE Navigator Gene-Phenotype Associations | phenotypes associated with RGS16 gene by text-mining GWAS publications from the HuGE Navigator Gene-Phenotype Associations dataset. | |
| InterPro Predicted Protein Domain Annotations | protein domains predicted for RGS16 protein from the InterPro Predicted Protein Domain Annotations dataset. | |
| JASPAR Predicted Human Transcription Factor Targets 2025 | transcription factors regulating expression of RGS16 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 RGS16 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 RGS16 gene predicted using known transcription factor binding site motifs from the JASPAR Predicted Transcription Factor Targets dataset. | |
| KEA Substrates of Kinases | kinases that phosphorylate RGS16 protein from the curated KEA Substrates of Kinases dataset. | |
| Klijn et al., Nat. Biotechnol., 2015 Cell Line Gene CNV Profiles | cell lines with high or low copy number of RGS16 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 Expression Profiles | cell lines with high or low expression of RGS16 gene relative to other cell lines from the Klijn et al., Nat. Biotechnol., 2015 Cell Line Gene Expression Profiles dataset. | |
| Klijn et al., Nat. Biotechnol., 2015 Cell Line Gene Mutation Profiles | cell lines with RGS16 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 RGS16 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 RGS16 gene from the LINCS L1000 CMAP Chemical Perturbations Consensus Signatures dataset. | |
| LINCS L1000 CMAP CRISPR Knockout Consensus Signatures | gene perturbations changing expression of RGS16 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 RGS16 gene from the LINCS L1000 CMAP Signatures of Differentially Expressed Genes for Small Molecules dataset. | |
| LOCATE Curated Protein Localization Annotations | cellular components containing RGS16 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 RGS16 protein from the LOCATE Predicted Protein Localization Annotations dataset. | |
| MGI Mouse Phenotype Associations 2023 | phenotypes of transgenic mice caused by RGS16 gene mutations from the MGI Mouse Phenotype Associations 2023 dataset. | |
| MiRTarBase microRNA Targets | microRNAs targeting RGS16 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 RGS16 gene predicted using known transcription factor binding site motifs from the MotifMap Predicted Transcription Factor Targets dataset. | |
| MoTrPAC Rat Endurance Exercise Training | tissue samples with high or low expression of RGS16 gene relative to other tissue samples from the MoTrPAC Rat Endurance Exercise Training dataset. | |
| MPO Gene-Phenotype Associations | phenotypes of transgenic mice caused by RGS16 gene mutations from the MPO Gene-Phenotype Associations dataset. | |
| MSigDB Signatures of Differentially Expressed Genes for Cancer Gene Perturbations | gene perturbations changing expression of RGS16 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 RGS16 gene from the NIBR DRUG-seq U2OS MoA Box dataset. | |
| PANTHER Pathways | pathways involving RGS16 protein from the PANTHER Pathways dataset. | |
| Pathway Commons Protein-Protein Interactions | interacting proteins for RGS16 from the Pathway Commons Protein-Protein Interactions dataset. | |
| PerturbAtlas Signatures of Differentially Expressed Genes for Gene Perturbations | gene perturbations changing expression of RGS16 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 RGS16 gene from the PerturbAtlas Signatures of Differentially Expressed Genes for Gene Perturbations dataset. | |
| PFOCR Pathway Figure Associations 2023 | pathways involving RGS16 protein from the PFOCR Pathway Figure Associations 2023 dataset. | |
| PFOCR Pathway Figure Associations 2024 | pathways involving RGS16 protein from the Wikipathways PFOCR 2024 dataset. | |
| Phosphosite Textmining Biological Term Annotations | biological terms co-occuring with RGS16 protein in abstracts of publications describing phosphosites from the Phosphosite Textmining Biological Term Annotations dataset. | |
| PhosphoSitePlus Substrates of Kinases | kinases that phosphorylate RGS16 protein from the curated PhosphoSitePlus Substrates of Kinases dataset. | |
| Reactome Pathways 2024 | pathways involving RGS16 protein from the Reactome Pathways 2024 dataset. | |
| Replogle et al., Cell, 2022 K562 Essential Perturb-seq Gene Perturbation Signatures | gene perturbations changing expression of RGS16 gene from the Replogle et al., Cell, 2022 K562 Essential Perturb-seq Gene Perturbation Signatures dataset. | |
| Replogle et al., Cell, 2022 K562 Genome-wide Perturb-seq Gene Perturbation Signatures | gene perturbations changing expression of RGS16 gene from the Replogle et al., Cell, 2022 K562 Genome-wide Perturb-seq Gene Perturbation Signatures dataset. | |
| Roadmap Epigenomics Cell and Tissue DNA Methylation Profiles | cell types and tissues with high or low DNA methylation of RGS16 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 RGS16 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 RGS16 gene from the Roadmap Epigenomics Histone Modification Site Profiles dataset. | |
| RummaGEO Drug Perturbation Signatures | drug perturbations changing expression of RGS16 gene from the RummaGEO Drug Perturbation Signatures dataset. | |
| RummaGEO Gene Perturbation Signatures | gene perturbations changing expression of RGS16 gene from the RummaGEO Gene Perturbation Signatures dataset. | |
| Tabula Sapiens Gene-Cell Associations | cell types with high or low expression of RGS16 gene relative to other cell types from the Tabula Sapiens Gene-Cell Associations dataset. | |
| TargetScan Predicted Conserved microRNA Targets | microRNAs regulating expression of RGS16 gene predicted using conserved miRNA seed sequences from the TargetScan Predicted Conserved microRNA Targets dataset. | |
| TargetScan Predicted Nonconserved microRNA Targets | microRNAs regulating expression of RGS16 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 RGS16 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 RGS16 protein from the TISSUES Curated Tissue Protein Expression Evidence Scores dataset. | |
| TISSUES Curated Tissue Protein Expression Evidence Scores 2025 | tissues with high expression of RGS16 protein from the TISSUES Curated Tissue Protein Expression Evidence Scores 2025 dataset. | |
| TISSUES Experimental Tissue Protein Expression Evidence Scores | tissues with high expression of RGS16 protein in proteomics datasets from the TISSUES Experimental Tissue Protein Expression Evidence Scores dataset. | |
| TISSUES Experimental Tissue Protein Expression Evidence Scores 2025 | tissues with high expression of RGS16 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 RGS16 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 RGS16 protein in abstracts of biomedical publications from the TISSUES Text-mining Tissue Protein Expression Evidence Scores 2025 dataset. | |
| WikiPathways Pathways 2014 | pathways involving RGS16 protein from the Wikipathways Pathways 2014 dataset. | |
| WikiPathways Pathways 2024 | pathways involving RGS16 protein from the WikiPathways Pathways 2024 dataset. | |