| HGNC Family | Non-coding RNAs |
| Name | microRNA 4665 |
| 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": "\nMicroRNA‐4665 has emerged as a potential regulator in cancer biology, with distinct isoforms influencing tumor progression in different contexts. In gastric cancer, miR‐4665‑3p appears to mediate the inhibitory effect of arsenic sulfide, suggesting that its upregulation may contribute to the suppression of carcinogenic processes. The findings indicate that miR‐4665‑3p might impact pathways involved in cell proliferation, apoptosis, and invasion, thereby offering promising insights into novel therapeutic approaches for gastric carcinogenesis."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "1"}]}, {"type": "t", "text": ""}]}, {"type": "t", "text": "\n\n"}, {"type": "p", "children": [{"type": "t", "text": "\nIn a separate study focusing on breast cancer, differential expression analysis of exosomal microRNAs in triple‐negative breast cancer patients identified miR‐4665‑5p as upregulated in subjects who experienced recurrence. This observation supports the notion that miR‐4665‑5p could serve as a non‐invasive biomarker for identifying patients at higher risk of disease relapse, and it may help refine preventive strategies in the clinical setting."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "2"}]}, {"type": "t", "text": ""}]}, {"type": "rg", "children": [{"type": "r", "ref": 1, "children": [{"type": "t", "text": "Xiuli Zhang, Zhen Tan, Ting Kang, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Arsenic sulfide induces miR-4665-3p to inhibit gastric cancer cell invasion and migration."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Drug Des Devel Ther (2019)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.2147/DDDT.S209219"}], "href": "https://doi.org/10.2147/DDDT.S209219"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "31692505"}], "href": "https://pubmed.ncbi.nlm.nih.gov/31692505"}]}, {"type": "r", "ref": 2, "children": [{"type": "t", "text": "Heming Wu, Qiuming Wang, Hua Zhong, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Differentially expressed microRNAs in exosomes of patients with breast cancer revealed by next‑generation sequencing."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Oncol Rep (2020)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.3892/or.2019.7401"}], "href": "https://doi.org/10.3892/or.2019.7401"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "31746410"}], "href": "https://pubmed.ncbi.nlm.nih.gov/31746410"}]}]}]}
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| Synonyms | MIR-4665 |
| NCBI Gene ID | 100616288 |
| 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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MIR4665 has 1,108 functional associations with biological entities spanning 3 categories (molecular profile, cell line, cell type or tissue, gene, protein or microRNA) extracted from 11 datasets.
Click the + buttons to view associations for MIR4665 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 MIR4665 gene relative to other cell lines from the CCLE Cell Line Gene CNV Profiles dataset. | |
| ChEA Transcription Factor Binding Site Profiles | transcription factor binding site profiles with transcription factor binding evidence at the promoter of MIR4665 gene from the CHEA Transcription Factor Binding Site Profiles dataset. | |
| ChEA Transcription Factor Targets | transcription factors binding the promoter of MIR4665 gene in low- or high-throughput transcription factor functional studies from the CHEA Transcription Factor Targets dataset. | |
| COSMIC Cell Line Gene CNV Profiles | cell lines with high or low copy number of MIR4665 gene relative to other cell lines from the COSMIC Cell Line Gene CNV Profiles dataset. | |
| ENCODE Histone Modification Site Profiles | histone modification site profiles with high histone modification abundance at MIR4665 gene from the ENCODE Histone Modification Site Profiles dataset. | |
| ENCODE Transcription Factor Binding Site Profiles | transcription factor binding site profiles with transcription factor binding evidence at the promoter of MIR4665 gene from the ENCODE Transcription Factor Binding Site Profiles dataset. | |
| ENCODE Transcription Factor Targets | transcription factors binding the promoter of MIR4665 gene in ChIP-seq datasets from the ENCODE Transcription Factor Targets dataset. | |
| GTEx Tissue Gene Expression Profiles | tissues with high or low expression of MIR4665 gene relative to other tissues from the GTEx Tissue Gene Expression Profiles dataset. | |
| Klijn et al., Nat. Biotechnol., 2015 Cell Line Gene CNV Profiles | cell lines with high or low copy number of MIR4665 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 MIR4665 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 MIR4665 gene from the Roadmap Epigenomics Histone Modification Site Profiles dataset. | |