| HGNC Family | Non-coding RNAs |
| Name | microRNA 1909 |
| 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": "\nWhile the first two studies"}, {"type": "fg", "children": [{"type": "fg_f", "ref": "1"}]}, {"type": "t", "text": "primarily investigate the cellular machinery underlying acrosome biogenesis and nuclear envelope architecture during spermatogenesis—with a focus on proteins such as DPY19L2 and Sun5—the later studies expand the scope of RNA regulation in pathological contexts. In this broader framework, one microRNA—MIR1909 (often noted in its star form, miR-1909*)—emerges as functionally significant. In pediatric dysembryoplastic neuroepithelial tumors, miR-1909* was identified as being up-regulated, suggesting its role as a putative oncogenic molecule. Its differential expression underscores a potential application as a diagnostic biomarker, where alterations in its levels may help distinguish tumor from normal brain tissue."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "3"}]}, {"type": "t", "text": "\n \nIn a complementary line of inquiry, research focused on RNA‐based therapeutic approaches has highlighted the natural ability of certain microRNAs to interact with key regulatory mRNAs. Specifically, miR-1909, alongside miR-1915, was shown to bind with high net free energy to regions within the Notch-1 mRNA. This binding is indicative of a natural feedback mechanism that may attenuate Notch-1 translation—a pathway known to influence the epithelial-to-mesenchymal transition and cancer stem cell activation. Such interactions suggest that miR-1909 could be harnessed as a candidate effector RNA (eRNA) to modulate Notch-1 signaling in cancer, potentially serving both as a therapeutic agent and as a means to overcome resistance to conventional drugs."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "4"}]}, {"type": "t", "text": "\n"}]}, {"type": "rg", "children": [{"type": "r", "ref": 1, "children": [{"type": "t", "text": "Virginie Pierre, Guillaume Martinez, Charles Coutton, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Absence of Dpy19l2, a new inner nuclear membrane protein, causes globozoospermia in mice by preventing the anchoring of the acrosome to the nucleus."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Development (2012)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1242/dev.077982"}], "href": "https://doi.org/10.1242/dev.077982"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "22764053"}], "href": "https://pubmed.ncbi.nlm.nih.gov/22764053"}]}, {"type": "r", "ref": 2, "children": [{"type": "t", "text": "Sandra Yassine, Jessica Escoffier, Roland Abi Nahed, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Dynamics of Sun5 localization during spermatogenesis in wild type and Dpy19l2 knock-out mice indicates that Sun5 is not involved in acrosome attachment to the nuclear envelope."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "PLoS One (2015)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1371/journal.pone.0118698"}], "href": "https://doi.org/10.1371/journal.pone.0118698"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "25775128"}], "href": "https://pubmed.ncbi.nlm.nih.gov/25775128"}]}, {"type": "r", "ref": 3, "children": [{"type": "t", "text": "M Braoudaki, G I Lambrou, S A Papadodima, et al. "}, {"type": "b", "children": [{"type": "t", "text": "MicroRNA expression profiles in pediatric dysembryoplastic neuroepithelial tumors."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Med Oncol (2016)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1007/s12032-015-0719-3"}], "href": "https://doi.org/10.1007/s12032-015-0719-3"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "26698155"}], "href": "https://pubmed.ncbi.nlm.nih.gov/26698155"}]}, {"type": "r", "ref": 4, "children": [{"type": "t", "text": "Yufeng Li, Takashi Mine, Constantin G Ioannides "}, {"type": "b", "children": [{"type": "t", "text": "Short GC-rich RNA similar to miR 1909 and 1915 folds in silico with the 5'-UTR and ORF of Notch and responders: potential for the elimination of cancer stem cells."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Oncol Rep (2010)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.3892/or_00001004"}], "href": "https://doi.org/10.3892/or_00001004"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "21042738"}], "href": "https://pubmed.ncbi.nlm.nih.gov/21042738"}]}]}]}
|
| Synonyms | MIRN1909, HSA-MIR-1909, MIR-1909 |
| NCBI Gene ID | 100302210 |
| 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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MIR1909 has 822 functional associations with biological entities spanning 4 categories (molecular profile, functional term, phrase or reference, cell line, cell type or tissue, gene, protein or microRNA) extracted from 16 datasets.
Click the + buttons to view associations for MIR1909 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 MIR1909 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 MIR1909 gene from the CHEA Transcription Factor Binding Site Profiles dataset. | |
| ChEA Transcription Factor Targets | transcription factors binding the promoter of MIR1909 gene in low- or high-throughput transcription factor functional studies from the CHEA Transcription Factor Targets dataset. | |
| ENCODE Histone Modification Site Profiles | histone modification site profiles with high histone modification abundance at MIR1909 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 MIR1909 gene from the ENCODE Transcription Factor Binding Site Profiles dataset. | |
| ENCODE Transcription Factor Targets | transcription factors binding the promoter of MIR1909 gene in ChIP-seq datasets from the ENCODE Transcription Factor Targets dataset. | |
| GeneRIF Biological Term Annotations | biological terms co-occuring with MIR1909 gene in literature-supported statements describing functions of genes from the GeneRIF Biological Term Annotations dataset. | |
| GEO Signatures of Differentially Expressed Genes for Gene Perturbations | gene perturbations changing expression of MIR1909 gene from the GEO Signatures of Differentially Expressed Genes for Gene Perturbations dataset. | |
| GTEx Tissue Gene Expression Profiles | tissues with high or low expression of MIR1909 gene relative to other tissues from the GTEx Tissue Gene Expression Profiles dataset. | |
| GTEx Tissue Sample Gene Expression Profiles | tissue samples with high or low expression of MIR1909 gene relative to other tissue samples from the GTEx Tissue Sample Gene Expression Profiles dataset. | |
| Klijn et al., Nat. Biotechnol., 2015 Cell Line Gene CNV Profiles | cell lines with high or low copy number of MIR1909 gene relative to other cell lines from the Klijn et al., Nat. Biotechnol., 2015 Cell Line Gene CNV Profiles dataset. | |
| Klijn et al., Nat. Biotechnol., 2015 Cell Line Gene Expression Profiles | cell lines with high or low expression of MIR1909 gene relative to other cell lines from the Klijn et al., Nat. Biotechnol., 2015 Cell Line Gene Expression Profiles dataset. | |
| KnockTF Gene Expression Profiles with Transcription Factor Perturbations | transcription factor perturbations changing expression of MIR1909 gene from the KnockTF Gene Expression Profiles with Transcription Factor Perturbations dataset. | |
| MotifMap Predicted Transcription Factor Targets | transcription factors regulating expression of MIR1909 gene predicted using known transcription factor binding site motifs from the MotifMap Predicted Transcription Factor Targets dataset. | |
| Roadmap Epigenomics Cell and Tissue DNA Methylation Profiles | cell types and tissues with high or low DNA methylation of MIR1909 gene relative to other cell types and tissues from the Roadmap Epigenomics Cell and Tissue DNA Methylation Profiles dataset. | |
| Roadmap Epigenomics Histone Modification Site Profiles | histone modification site profiles with high histone modification abundance at MIR1909 gene from the Roadmap Epigenomics Histone Modification Site Profiles dataset. | |