GRM7-AS3 Gene

Name GRM7 antisense RNA 3
Summary
{"type": "root", "children": [{"type": "p", "children": [{"type": "t", "text": "\n Recent genome‐wide analyses have identified the long noncoding RNA GRM7‐AS3 as significantly associated with depressive symptom burden in older adults, implicating it in the genetic architecture of psychiatric disorders."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "1"}]}, {"type": "t", "text": " In this context, GRM7‐AS3—an antisense transcript in the GRM7 gene region that has been previously linked to major depressive disorder—may contribute to the modulation of neuronal signaling pathways, including the ERK/MAPK and GSK3 cascades, which are known to influence neuronal plasticity and neurodegenerative processes. Moreover, studies of long noncoding RNAs in other disease settings (such as in competing endogenous RNA networks in cancers) have demonstrated that similar transcripts can function as microRNA sponges to regulate gene expression."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "2"}]}, {"type": "t", "text": " Although research in infectious diseases—exemplified by investigations into host factors in COVID-19—has primarily centered on proteins like ACE2 and TMPRSS2, these efforts underscore a broader interest in understanding regulatory RNA molecules that may also impact immune and inflammatory responses."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "3"}]}, {"type": "t", "text": " Overall, the available evidence suggests that GRM7‐AS3 holds promise as a regulatory molecule influencing key signaling pathways implicated in psychiatric, neurodegenerative, and possibly even inflammatory conditions, warranting further functional and mechanistic studies.\n "}]}, {"type": "rg", "children": [{"type": "r", "ref": 1, "children": [{"type": "t", "text": "Kwangsik Nho, Vijay K Ramanan, Emrin Horgusluoglu, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Comprehensive gene- and pathway-based analysis of depressive symptoms in older adults."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "J Alzheimers Dis (2015)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.3233/JAD-148009"}], "href": "https://doi.org/10.3233/JAD-148009"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "25690665"}], "href": "https://pubmed.ncbi.nlm.nih.gov/25690665"}]}, {"type": "r", "ref": 2, "children": [{"type": "t", "text": "Qing Luo, Meng Cui, Qinfu Deng, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Comprehensive analysis of differentially expressed profiles and reconstruction of a competing endogenous RNA network in papillary renal cell carcinoma."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Mol Med Rep (2019)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.3892/mmr.2019.10138"}], "href": "https://doi.org/10.3892/mmr.2019.10138"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "30957192"}], "href": "https://pubmed.ncbi.nlm.nih.gov/30957192"}]}, {"type": "r", "ref": 3, "children": [{"type": "t", "text": "Soudabeh Sabetian, Isabella Castiglioni, Bahia Namavar Jahromi, et al. "}, {"type": "b", "children": [{"type": "t", "text": "In Silico Identification of miRNA-lncRNA Interactions in Male Reproductive Disorder Associated with COVID-19 Infection."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Cells (2021)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.3390/cells10061480"}], "href": "https://doi.org/10.3390/cells10061480"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "34204705"}], "href": "https://pubmed.ncbi.nlm.nih.gov/34204705"}]}]}]}
NCBI Gene ID 101927347
API
Download Associations
Predicted Functions View GRM7-AS3's ARCHS4 Predicted Functions.
Co-expressed Genes View GRM7-AS3's ARCHS4 Predicted Functions.
Expression in Tissues and Cell Lines View GRM7-AS3's ARCHS4 Predicted Functions.

Functional Associations

GRM7-AS3 has 6 functional associations with biological entities spanning 2 categories (cell line, cell type or tissue, gene, protein or microRNA) extracted from 2 datasets.

Click the + buttons to view associations for GRM7-AS3 from the datasets below.

If available, associations are ranked by standardized value

Dataset Summary
GEO Signatures of Differentially Expressed Genes for Gene Perturbations gene perturbations changing expression of GRM7-AS3 gene from the GEO Signatures of Differentially Expressed Genes for Gene Perturbations dataset.
GTEx Tissue Gene Expression Profiles tissues with high or low expression of GRM7-AS3 gene relative to other tissues from the GTEx Tissue Gene Expression Profiles dataset.