| 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"}]}]}]}
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| NCBI Gene ID | 100129858 |
| 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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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. | |