| HGNC Family | Non-coding RNAs |
| Name | microRNA 1972-1 |
| Description | microRNAs (miRNAs) are short (20-24 nt) non-coding RNAs that are involved in post-transcriptional regulation of gene expression in multicellular organisms by affecting both the stability and translation of mRNAs. miRNAs are transcribed by RNA polymerase II as part of capped and polyadenylated primary transcripts (pri-miRNAs) that can be either protein-coding or non-coding. The primary transcript is cleaved by the Drosha ribonuclease III enzyme to produce an approximately 70-nt stem-loop precursor miRNA (pre-miRNA), which is further cleaved by the cytoplasmic Dicer ribonuclease to generate the mature miRNA and antisense miRNA star (miRNA*) products. The mature miRNA is incorporated into a RNA-induced silencing complex (RISC), which recognizes target mRNAs through imperfect base pairing with the miRNA and most commonly results in translational inhibition or destabilization of the target mRNA. The RefSeq represents the predicted microRNA stem-loop. [provided by RefSeq, Sep 2009] |
| Summary |
{"type": "root", "children": [{"type": "p", "children": [{"type": "t", "text": "\nStudies in major depressive disorder revealed that miR-1972 is part of a panel of dysregulated microRNAs in peripheral blood mononuclear cells, with its upregulation correlating with nervous system and brain pathways that may underlie MDD pathogenesis."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "1"}]}, {"type": "t", "text": " In contrast, in patients with leukoaraiosis the early onset phase is marked by downregulation of miR-1972, which targets BAIAP3 and is associated with processes of neurogenesis, neuronal development, and differentiation."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "2"}]}, {"type": "t", "text": "\n"}]}, {"type": "t", "text": "\n\n"}, {"type": "p", "children": [{"type": "t", "text": "\nIn the oncology setting, circulating miR-1972 is emerging as a potential biomarker; in hepatocellular carcinoma its altered expression contributes to distinguishing HCC patients from non-cancer individuals."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "3"}]}, {"type": "t", "text": " Additionally, in head and neck cancers, miR-1972 was uniquely detected in exosomes from HPV‑negative cells, providing a candidate marker for differentiating HPV status in tumor subtypes."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "4"}]}, {"type": "t", "text": "\n"}]}, {"type": "t", "text": "\n\n"}, {"type": "p", "children": [{"type": "t", "text": "\nFurthermore, in rheumatoid arthritis research, extracellular vesicles derived from fibroblast‑like synoviocytes were found to be enriched in miR‑1972, which promotes endothelial cell migration, tube formation, and angiogenesis through modulation of the p53/mTOR signaling pathway. This pro‑angiogenic role implicates miR‑1972 in pannus formation and the progression of joint inflammation."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "5"}]}, {"type": "t", "text": "\n"}]}, {"type": "rg", "children": [{"type": "r", "ref": 1, "children": [{"type": "t", "text": "Hui-min Fan, Xin-yang Sun, Wei Guo, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Differential expression of microRNA in peripheral blood mononuclear cells as specific biomarker for major depressive disorder patients."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "J Psychiatr Res (2014)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1016/j.jpsychires.2014.08.007"}], "href": "https://doi.org/10.1016/j.jpsychires.2014.08.007"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "25201637"}], "href": "https://pubmed.ncbi.nlm.nih.gov/25201637"}]}, {"type": "r", "ref": 2, "children": [{"type": "t", "text": "Wen-Qing Huang, Qing Lin, Shuai Chen, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Integrated analysis of microRNA and mRNA expression profiling identifies "}, {"type": "a", "children": [{"type": "t", "text": "i"}], "href": "i"}, {"type": "t", "text": "BAIAP3"}, {"type": "a", "children": [{"type": "t", "text": "/i"}], "href": "/i"}, {"type": "t", "text": " as a novel target of dysregulated hsa-miR-1972 in age-related white matter lesions."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Aging (Albany NY) (2021)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.18632/aging.202562"}], "href": "https://doi.org/10.18632/aging.202562"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "33561007"}], "href": "https://pubmed.ncbi.nlm.nih.gov/33561007"}]}, {"type": "r", "ref": 3, "children": [{"type": "t", "text": "Yu Jin, Ye Shen Wong, Brian K P Goh, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Circulating microRNAs as Potential Diagnostic and Prognostic Biomarkers in Hepatocellular Carcinoma."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Sci Rep (2019)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1038/s41598-019-46872-8"}], "href": "https://doi.org/10.1038/s41598-019-46872-8"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "31320713"}], "href": "https://pubmed.ncbi.nlm.nih.gov/31320713"}]}, {"type": "r", "ref": 4, "children": [{"type": "t", "text": "Sonja Ludwig, Priyanka Sharma, Petra Wise, et al. "}, {"type": "b", "children": [{"type": "t", "text": "mRNA and miRNA Profiles of Exosomes from Cultured Tumor Cells Reveal Biomarkers Specific for HPV16-Positive and HPV16-Negative Head and Neck Cancer."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Int J Mol Sci (2020)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.3390/ijms21228570"}], "href": "https://doi.org/10.3390/ijms21228570"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "33202950"}], "href": "https://pubmed.ncbi.nlm.nih.gov/33202950"}]}, {"type": "r", "ref": 5, "children": [{"type": "t", "text": "Yixiong Chen, Junlong Dang, Xiaorong Lin, et al. "}, {"type": "b", "children": [{"type": "t", "text": "RA Fibroblast-Like Synoviocytes Derived Extracellular Vesicles Promote Angiogenesis by miRNA-1972 Targeting p53/mTOR Signaling in Vascular Endotheliocyte."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Front Immunol (2022)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.3389/fimmu.2022.793855"}], "href": "https://doi.org/10.3389/fimmu.2022.793855"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "35350778"}], "href": "https://pubmed.ncbi.nlm.nih.gov/35350778"}]}]}]}
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| Synonyms | HSA-MIR-1972, HSA-MIR-1972-1, MIR1972 |
| NCBI Gene ID | 100302243 |
| 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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MIR1972-1 has 177 functional associations with biological entities spanning 3 categories (molecular profile, cell line, cell type or tissue, gene, protein or microRNA) extracted from 8 datasets.
Click the + buttons to view associations for MIR1972-1 from the datasets below.
If available, associations are ranked by standardized value
| Dataset | Summary | |
|---|---|---|
| CCLE Cell Line Gene CNV Profiles | cell lines with high or low copy number of MIR1972-1 gene relative to other cell lines from the CCLE Cell Line Gene CNV Profiles dataset. | |
| COSMIC Cell Line Gene CNV Profiles | cell lines with high or low copy number of MIR1972-1 gene relative to other cell lines from the COSMIC Cell Line Gene CNV Profiles dataset. | |
| ENCODE Transcription Factor Binding Site Profiles | transcription factor binding site profiles with transcription factor binding evidence at the promoter of MIR1972-1 gene from the ENCODE Transcription Factor Binding Site Profiles dataset. | |
| ENCODE Transcription Factor Targets | transcription factors binding the promoter of MIR1972-1 gene in ChIP-seq datasets from the ENCODE Transcription Factor Targets dataset. | |
| JASPAR Predicted Transcription Factor Targets | transcription factors regulating expression of MIR1972-1 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 MIR1972-1 gene relative to other cell lines from the Klijn et al., Nat. Biotechnol., 2015 Cell Line Gene CNV Profiles dataset. | |
| MotifMap Predicted Transcription Factor Targets | transcription factors regulating expression of MIR1972-1 gene predicted using known transcription factor binding site motifs from the MotifMap Predicted Transcription Factor Targets dataset. | |
| Roadmap Epigenomics Histone Modification Site Profiles | histone modification site profiles with high histone modification abundance at MIR1972-1 gene from the Roadmap Epigenomics Histone Modification Site Profiles dataset. | |