MIR95 Gene

HGNC Family Non-coding RNAs
Name microRNA 95
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
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For example, in prostate cancer forced expression of miR‐95 enhances radiation resistance and aggressive cellular phenotypes via downregulation of key regulators such as SGPP1."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "1"}]}, {"type": "t", "text": " Elevated miR‐95 levels have also been reported in non–small cell lung cancer (NSCLC) where overexpression contributes to tumor growth and radioresistance, including in stem‐like ALDH1(+)CD133(+) subpopulations."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "2"}]}, {"type": "t", "text": " In lung adenocarcinoma with brain metastasis, miR‐95–3p suppresses cyclin D1 expression, thereby inhibiting invasiveness and clonogenicity."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "4"}]}, {"type": "t", "text": " Similarly, in gliomas miR‐95–3p directly targets CELF2 to promote proliferation and invasion"}, {"type": "fg", "children": [{"type": "fg_f", "ref": "6"}]}, {"type": "t", "text": ", while in hepatocellular carcinoma its upregulation reduces p21/CDKN1A expression, accelerating cell cycle progression and migration."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "7"}]}, {"type": "t", "text": " In thyroid nodular disease, circulating miR‐95–3p—in combination with other miRNAs—has been suggested as a diagnostic marker of malignancy."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "9"}]}, {"type": "t", "text": " Moreover, exosomal delivery of miR‐95 by tumor‐associated macrophages promotes epithelial–mesenchymal transition in prostate cancer by targeting JunB"}, {"type": "fg", "children": [{"type": "fg_f", "ref": "10"}]}, {"type": "t", "text": ", and emerging studies in colorectal and colon cancers implicate miR‐95 in modulating tumor behavior through regulatory axes—including targets such as FOXD1"}, {"type": "fg", "children": [{"type": "fg_f", "ref": "11"}]}, {"type": "t", "text": "and"}, {"type": "fg", "children": [{"type": "fg_f", "ref": "12"}]}, {"type": "t", "text": "—as well as in gastric cancer, where its overexpression in the intestinal subtype contributes to chemoresistance via an EMP1/PI3K–Akt axis, while differential expression is observed in signet ring cell carcinoma."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "13"}]}, {"type": "t", "text": " Finally, in cholangiocarcinoma, miR‐95–3p acts as an oncogenic factor by downregulating TRAF3 to stimulate cell growth."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "14"}]}, {"type": "t", "text": "\n"}]}, {"type": "t", "text": "\n\n"}, {"type": "p", "children": [{"type": "t", "text": "\nNotably, the functional outcome of miR‐95 dysregulation appears highly context‐dependent. In osteosarcoma, contrasting evidence exists: one study associates elevated serum miR‐95–3p levels with advanced clinical stage and enhanced tumor cell growth via modulation of the TGF‐β/p21/cyclin D1 axis"}, {"type": "fg", "children": [{"type": "fg_f", "ref": "15"}]}, {"type": "t", "text": ", whereas another demonstrates that enforced miR‐95–3p expression suppresses tumor growth by targeting hepatoma‐derived growth factor (HDGF) and promoting apoptosis."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "16"}]}, {"type": "t", "text": " In addition, miR‐95 targeting of SCNN1A in osteosarcoma cells further supports a role in promoting cell cycle progression and survival."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "17"}]}, {"type": "t", "text": " Ongoing investigations in prostate cancer are also beginning to define the multifaceted activities of miR‐95, although its precise role in this context remains to be fully elucidated."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "18"}]}, {"type": "t", "text": "\n"}]}, {"type": "t", "text": "\n\n"}, {"type": "p", "children": [{"type": "t", "text": "\nBeyond oncogenesis, miR‐95 plays roles in nonmalignant conditions and holds promise as a diagnostic biomarker. In osteoarthritis, chondrocyte‐derived exosomes enriched in miR‐95–5p promote cartilage development and matrix synthesis by directly targeting HDAC2/8, suggesting a potential disease‐modifying application."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "19"}]}, {"type": "t", "text": " Furthermore, in multiple sulfatase deficiency, miR‐95 negatively regulates SUMF1 expression, leading to reduced sulfatase activity and impaired proteoglycan catabolism—a finding that highlights its regulatory capacity in metabolic disorders."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "20"}]}, {"type": "t", "text": " Collectively, these studies illustrate the multifaceted roles of miR‐95 in both pathological and physiological contexts, emphasizing its potential as a therapeutic target and biomarker across a spectrum of human diseases."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "20"}, {"type": "fg_f", "ref": "19"}]}, {"type": "t", "text": "\n"}]}, {"type": "rg", "children": [{"type": "r", "ref": 1, "children": [{"type": "t", "text": "Xiaoyong Huang, Samira Taeb, Sahar Jahangiri, et al. 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Synonyms MIR-95, HSA-MIR-95, MIRN95
NCBI Gene ID 407052
API
Download Associations
Predicted Functions View MIR95's ARCHS4 Predicted Functions.
Co-expressed Genes View MIR95's ARCHS4 Predicted Functions.
Expression in Tissues and Cell Lines View MIR95's ARCHS4 Predicted Functions.

Functional Associations

MIR95 has 253 functional associations with biological entities spanning 4 categories (functional term, phrase or reference, disease, phenotype or trait, cell line, cell type or tissue, gene, protein or microRNA) extracted from 7 datasets.

Click the + buttons to view associations for MIR95 from the datasets below.

If available, associations are ranked by standardized value

Dataset Summary
COMPARTMENTS Text-mining Protein Localization Evidence Scores cellular components co-occuring with MIR95 protein in abstracts of biomedical publications from the COMPARTMENTS Text-mining Protein Localization Evidence Scores dataset.
DISEASES Text-mining Gene-Disease Association Evidence Scores diseases co-occuring with MIR95 gene in abstracts of biomedical publications from the DISEASES Text-mining Gene-Disease Assocation Evidence Scores dataset.
GeneRIF Biological Term Annotations biological terms co-occuring with MIR95 gene in literature-supported statements describing functions of genes from the GeneRIF Biological Term Annotations dataset.
GeneSigDB Published Gene Signatures PubMedIDs of publications reporting gene signatures containing MIR95 from the GeneSigDB Published Gene Signatures dataset.
GEO Signatures of Differentially Expressed Genes for Gene Perturbations gene perturbations changing expression of MIR95 gene from the GEO Signatures of Differentially Expressed Genes for Gene Perturbations dataset.
Klijn et al., Nat. Biotechnol., 2015 Cell Line Gene CNV Profiles cell lines with high or low copy number of MIR95 gene relative to other cell lines from the Klijn et al., Nat. Biotechnol., 2015 Cell Line Gene CNV Profiles dataset.
TISSUES Text-mining Tissue Protein Expression Evidence Scores tissues co-occuring with MIR95 protein in abstracts of biomedical publications from the TISSUES Text-mining Tissue Protein Expression Evidence Scores dataset.