| HGNC Family | Non-coding RNAs |
| Name | microRNA 3116-1 |
| 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": "\nIn glioma cells, miR-3116-1 has been identified as a key microRNA that modulates chemoresistance to temozolomide (TMZ). Reduced levels of this miRNA in resistant glioma samples are associated with enhanced tumor cell viability, decreased apoptosis, and increased colony formation, highlighting its potential role as a sensitizer to TMZ therapy."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "1"}]}, {"type": "t", "text": "\n"}]}, {"type": "t", "text": "\n\n"}, {"type": "p", "children": [{"type": "t", "text": "\nMechanistic investigations revealed that miR-3116-1 directly targets the mRNA encoding fibroblast growth factor receptor 1 (FGFR1). Upregulation of miR-3116-1 leads to the downregulation of FGFR1, which in turn results in the inactivation of the PI3K/AKT signaling pathway—a critical pathway implicated in cell survival and chemoresistance. Conversely, overexpression of FGFR1 mitigates the sensitizing effects of miR-3116-1, thereby reinforcing TMZ resistance."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "1"}]}, {"type": "t", "text": "\n"}]}, {"type": "t", "text": "\n\n"}, {"type": "p", "children": [{"type": "t", "text": "\nThese findings underscore the therapeutic potential of modulating miR-3116-1 levels in glioma treatment. By enhancing miR-3116-1 expression, it may be possible to overcome TMZ resistance through the dual regulation of FGFR1 expression and PI3K/AKT pathway activity, providing a promising strategy for improving outcomes in glioma patients."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "1"}]}, {"type": "t", "text": "\n"}]}, {"type": "rg", "children": [{"type": "r", "ref": 1, "children": [{"type": "t", "text": "Shiqi Kong, Yingxiao Cao, Xin Li, et al. "}, {"type": "b", "children": [{"type": "t", "text": "MiR-3116 sensitizes glioma cells to temozolomide by targeting FGFR1 and regulating the FGFR1/PI3K/AKT pathway."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "J Cell Mol Med (2020)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1111/jcmm.15133"}], "href": "https://doi.org/10.1111/jcmm.15133"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "32181582"}], "href": "https://pubmed.ncbi.nlm.nih.gov/32181582"}]}]}]}
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| NCBI Gene ID | 100422902 |
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| Predicted Functions |
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| Co-expressed Genes |
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| Expression in Tissues and Cell Lines |
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MIR3116-1 has 105 functional associations with biological entities spanning 1 categories (cell line, cell type or tissue) extracted from 1 datasets.
Click the + buttons to view associations for MIR3116-1 from the datasets below.
If available, associations are ranked by standardized value
| Dataset | Summary | |
|---|---|---|
| Klijn et al., Nat. Biotechnol., 2015 Cell Line Gene CNV Profiles | cell lines with high or low copy number of MIR3116-1 gene relative to other cell lines from the Klijn et al., Nat. Biotechnol., 2015 Cell Line Gene CNV Profiles dataset. | |