| HGNC Family | Non-coding RNAs |
| Name | microRNA 6811 |
| 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": "\nMicroRNAs (miRNAs) play a crucial role in the post‐transcriptional regulation of gene expression, influencing diverse physiological processes and disease states. Emerging evidence suggests that specific miRNAs, including MIR6811, may be involved in fine‐tuning the expression of genes linked to cellular homeostasis and oncogenic pathways. Although the direct mechanistic details of MIR6811 remain to be fully elaborated, changes in its sequence—such as single‐nucleotide polymorphisms (SNPs)—could potentially alter its maturation or target recognition, thereby affecting critical regulatory networks in cells."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "1"}]}, {"type": "t", "text": ""}]}, {"type": "t", "text": "\n\n"}, {"type": "p", "children": [{"type": "t", "text": "\nA recent study examined the impact of eight SNPs within miRNA sequences on lung cancer susceptibility in a Chinese Southern population. Within this context, MIR6811 was evaluated as one of the miRNAs of interest, with the hypothesis that genetic variation in this miRNA might contribute to individual differences in lung cancer risk. The investigation highlights the potential for miRNA SNPs, including those in MIR6811, to modulate gene expression patterns that govern cell proliferation and apoptosis."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "1"}]}, {"type": "t", "text": ""}]}, {"type": "t", "text": "\n\n"}, {"type": "p", "children": [{"type": "t", "text": "\nThese findings underscore the emerging importance of exploring miRNA variants as determinants of cancer predisposition. While the specific functional role of MIR6811 in lung carcinogenesis requires further investigation, the study suggests that alterations in MIR6811 may influence its regulatory capacity over key oncogenes or tumor suppressor genes, thus contributing to differential cancer susceptibility among individuals."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "1"}]}, {"type": "t", "text": ""}]}, {"type": "rg", "children": [{"type": "r", "ref": 1, "children": [{"type": "t", "text": "Jing Zhou, Chong Meng, Yixuan Li, et al. "}, {"type": "b", "children": [{"type": "t", "text": "MiRNA-423 rs6505162 and miRNA-6811 rs2292879 SNP associated with lung cancer in Hainan, China."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Biosci Rep (2023)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1042/BSR20231152"}], "href": "https://doi.org/10.1042/BSR20231152"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "37694278"}], "href": "https://pubmed.ncbi.nlm.nih.gov/37694278"}]}]}]}
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| Synonyms | HSA-MIR-6811 |
| NCBI Gene ID | 102465486 |
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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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MIR6811 has 0 functional associations with biological entities spanning 0 categories () extracted from 0 datasets.
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| Dataset | Summary |
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