SCOC-AS1 Gene

Name SCOC antisense RNA 1
Summary
{"type": "root", "children": [{"type": "p", "children": [{"type": "t", "text": "\nRecent evidence has revealed that long non‐coding RNAs (lncRNAs) act as promising biomarkers for cardiovascular traits, including salt sensitivity of blood pressure (SSBP). In a study involving both hypertensive and normotensive individuals, SCOC‑AS1 was identified among several lncRNAs that were differentially expressed between salt‐sensitive and salt‐resistant subjects. Notably, when analyzed independently, SCOC‑AS1 demonstrated a strong diagnostic performance in normotensive individuals, suggesting its potential role as a genetic susceptibility marker for SSBP in this subgroup."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "1"}]}, {"type": "t", "text": ""}]}, {"type": "t", "text": "\n\n"}, {"type": "p", "children": [{"type": "t", "text": "\nMoreover, when SCOC‑AS1 was combined with other lncRNAs—specifically lnc‑IGSF3‑1:1 and SLC8A1‑AS1—the multi‐lncRNA panel achieved improved diagnostic accuracy for both hypertensive and normotensive groups. While subsequent bioinformatic analyses identified lnc‑IGSF3‑1:1 and SLC8A1‑AS1 as central hub biomarkers within a lncRNA‐mRNA network, SCOC‑AS1’s role remains significant, especially in refining the detection of salt sensitivity among normotensive individuals."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "1"}]}, {"type": "t", "text": ""}]}, {"type": "rg", "children": [{"type": "r", "ref": 1, "children": [{"type": "t", "text": "Wenjuan Peng, Yunyi Xie, Juan Xia, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Association of Circulating Biomarkers of lnc-IGSF3-1:1, SCOC-AS1, and SLC8A1-AS1 with Salt Sensitivity of Blood Pressure in Chinese Population."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "J Cardiovasc Transl Res (2022)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1007/s12265-021-10190-0"}], "href": "https://doi.org/10.1007/s12265-021-10190-0"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "34855149"}], "href": "https://pubmed.ncbi.nlm.nih.gov/34855149"}]}]}]}
NCBI Gene ID 100129858
API
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Predicted Functions View SCOC-AS1's ARCHS4 Predicted Functions.
Co-expressed Genes View SCOC-AS1's ARCHS4 Predicted Functions.
Expression in Tissues and Cell Lines View SCOC-AS1's ARCHS4 Predicted Functions.

Functional Associations

SCOC-AS1 has 343 functional associations with biological entities spanning 2 categories (cell line, cell type or tissue, gene, protein or microRNA) extracted from 6 datasets.

Click the + buttons to view associations for SCOC-AS1 from the datasets below.

If available, associations are ranked by standardized value

Dataset Summary
Allen Brain Atlas Developing Human Brain Tissue Gene Expression Profiles by RNA-seq tissue samples with high or low expression of SCOC-AS1 gene relative to other tissue samples from the Allen Brain Atlas Developing Human Brain Tissue Gene Expression Profiles by RNA-seq dataset.
CCLE Cell Line Gene CNV Profiles cell lines with high or low copy number of SCOC-AS1 gene relative to other cell lines from the CCLE Cell Line Gene CNV Profiles dataset.
GEO Signatures of Differentially Expressed Genes for Gene Perturbations gene perturbations changing expression of SCOC-AS1 gene from the GEO Signatures of Differentially Expressed Genes for Gene Perturbations dataset.
GTEx Tissue-Specific Aging Signatures tissue samples with high or low expression of SCOC-AS1 gene relative to other tissue samples from the GTEx Tissue-Specific Aging Signatures dataset.
Klijn et al., Nat. Biotechnol., 2015 Cell Line Gene CNV Profiles cell lines with high or low copy number of SCOC-AS1 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 SCOC-AS1 gene relative to other cell lines from the Klijn et al., Nat. Biotechnol., 2015 Cell Line Gene Expression Profiles dataset.