| HGNC Family | Non-coding RNAs |
| Name | microRNA 9-1 |
| 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": "\nMIR9‐1, one of the genomic loci that gives rise to the mature microRNA‐9, plays a critical role in modulating inflammatory and stress‐response pathways. In immune cells, MIR9‐1 is induced in response to pathogen‐associated stimuli such as lipopolysaccharide via Toll‐like receptor (TLR) signaling and MyD88–NFκB activation. This induction sets in motion a negative feedback loop whereby the resultant miR‑9 targets key transcripts—for example, NFκB1—to fine‐tune the intensity of the inflammatory response and even modulate cellular radiosensitivity."}, {"type": "fg", "children": [{"type": "fg_fs", "start_ref": "1", "end_ref": "3"}]}, {"type": "t", "text": "\n"}]}, {"type": "t", "text": "\n\n"}, {"type": "p", "children": [{"type": "t", "text": "\nIn the context of cancer, the MIR9‐1–derived mature miR‑9 exerts multifaceted regulatory effects on tumor progression and metastasis. In several malignancies such as breast, esophageal, and colorectal cancers, miR‑9 directly targets genes that encode cell–cell adhesion molecules (for instance, E‑cadherin) and other regulators of epithelial–mesenchymal transition and cell motility. Such targeting not only facilitates enhanced migratory and invasive properties of cancer cells but also contributes to neoangiogenesis, as miR‑9 can influence downstream signaling cascades. Moreover, epigenetic silencing of MIR9‐1 through hypermethylation is associated with tumor aggressiveness and poor recurrence‐free survival in cancers like clear cell renal cell carcinoma and gastric cancer, underscoring its prognostic significance."}, {"type": "fg", "children": [{"type": "fg_fs", "start_ref": "4", "end_ref": "8"}]}, {"type": "t", "text": "\n"}]}, {"type": "t", "text": "\n\n"}, {"type": "p", "children": [{"type": "t", "text": "\nBeyond its roles in immune modulation and oncogenic processes, MIR9‐1 also influences neural biology and developmental programs. In neural progenitor cells, miR‑9 regulates the balance between proliferation and migration, thereby contributing to proper neurogenesis. Its function extends to the regulation of competing endogenous RNA networks and the coordination of neurovascular signaling—mechanisms that are vital both for normal brain development and in the pathogenesis of neurological disorders. These diverse roles highlight the context‐dependent functions of MIR9‐1 in controlling gene expression programs across various tissues."}, {"type": "fg", "children": [{"type": "fg_fs", "start_ref": "9", "end_ref": "12"}]}, {"type": "t", "text": "\n"}]}, {"type": "rg", "children": [{"type": "r", "ref": 1, "children": [{"type": "t", "text": "Flavia Bazzoni, Marzia Rossato, Marco Fabbri, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Induction and regulatory function of miR-9 in human monocytes and neutrophils exposed to proinflammatory signals."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Proc Natl Acad Sci U S A (2009)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1073/pnas.0810909106"}], "href": "https://doi.org/10.1073/pnas.0810909106"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "19289835"}], "href": "https://pubmed.ncbi.nlm.nih.gov/19289835"}]}, {"type": "r", "ref": 2, "children": [{"type": "t", "text": "Li-Min Guo, Yong Pu, Zhe Han, et al. "}, {"type": "b", "children": [{"type": "t", "text": "MicroRNA-9 inhibits ovarian cancer cell growth through regulation of NF-kappaB1."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "FEBS J (2009)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1111/j.1742-4658.2009.07237.x"}], "href": "https://doi.org/10.1111/j.1742-4658.2009.07237.x"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "19702828"}], "href": "https://pubmed.ncbi.nlm.nih.gov/19702828"}]}, {"type": "r", "ref": 3, "children": [{"type": "t", "text": "Himanshu Arora, Rehana Qureshi, Shunzi Jin, et al. "}, {"type": "b", "children": [{"type": "t", "text": "miR-9 and let-7g enhance the sensitivity to ionizing radiation by suppression of NFκB1."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Exp Mol Med (2011)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.3858/emm.2011.43.5.031"}], "href": "https://doi.org/10.3858/emm.2011.43.5.031"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "21464588"}], "href": "https://pubmed.ncbi.nlm.nih.gov/21464588"}]}, {"type": "r", "ref": 4, "children": [{"type": "t", "text": "Li Ma, Jennifer Young, Harsha Prabhala, et al. "}, {"type": "b", "children": [{"type": "t", "text": "miR-9, a MYC/MYCN-activated microRNA, regulates E-cadherin and cancer metastasis."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Nat Cell Biol (2010)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1038/ncb2024"}], "href": "https://doi.org/10.1038/ncb2024"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "20173740"}], "href": "https://pubmed.ncbi.nlm.nih.gov/20173740"}]}, {"type": "r", "ref": 5, "children": [{"type": "t", "text": "Guanglei Zhuang, Xiumin Wu, Zhaoshi Jiang, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Tumour-secreted miR-9 promotes endothelial cell migration and angiogenesis by activating the JAK-STAT pathway."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "EMBO J (2012)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1038/emboj.2012.183"}], "href": "https://doi.org/10.1038/emboj.2012.183"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "22773185"}], "href": "https://pubmed.ncbi.nlm.nih.gov/22773185"}]}, {"type": "r", "ref": 6, "children": [{"type": "t", "text": "Fei Gao, Zun-Lan Zhao, Wen-Tao Zhao, et al. "}, {"type": "b", "children": [{"type": "t", "text": "miR-9 modulates the expression of interferon-regulated genes and MHC class I molecules in human nasopharyngeal carcinoma cells."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Biochem Biophys Res Commun (2013)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1016/j.bbrc.2012.12.097"}], "href": "https://doi.org/10.1016/j.bbrc.2012.12.097"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "23291181"}], "href": "https://pubmed.ncbi.nlm.nih.gov/23291181"}]}, {"type": "r", "ref": 7, "children": [{"type": "t", "text": "M A T Hildebrandt, J Gu, J Lin, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Hsa-miR-9 methylation status is associated with cancer development and metastatic recurrence in patients with clear cell renal cell carcinoma."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Oncogene (2010)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1038/onc.2010.305"}], "href": "https://doi.org/10.1038/onc.2010.305"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "20676129"}], "href": "https://pubmed.ncbi.nlm.nih.gov/20676129"}]}, {"type": "r", "ref": 8, "children": [{"type": "t", "text": "Kuo-Wang Tsai, Yu-Lun Liao, Chew-Wun Wu, et al. 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"}, {"type": "b", "children": [{"type": "t", "text": "MicroRNA-9 Couples Brain Neurogenesis and Angiogenesis."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Cell Rep (2017)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1016/j.celrep.2017.07.051"}], "href": "https://doi.org/10.1016/j.celrep.2017.07.051"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "28813666"}], "href": "https://pubmed.ncbi.nlm.nih.gov/28813666"}]}, {"type": "r", "ref": 12, "children": [{"type": "t", "text": "Seong Won Lee, Young Mi Oh, Ya-Lin Lu, et al. "}, {"type": "b", "children": [{"type": "t", "text": "MicroRNAs Overcome Cell Fate Barrier by Reducing EZH2-Controlled REST Stability during Neuronal Conversion of Human Adult Fibroblasts."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Dev Cell (2018)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1016/j.devcel.2018.06.007"}], "href": "https://doi.org/10.1016/j.devcel.2018.06.007"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "29974865"}], "href": "https://pubmed.ncbi.nlm.nih.gov/29974865"}]}]}]}
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| Synonyms | MIRN9-1, MIRNA9-1, HSA-MIR-9-1, MIR-9-1 |
| NCBI Gene ID | 407046 |
| 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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MIR9-1 has 1,313 functional associations with biological entities spanning 6 categories (molecular profile, chemical, disease, phenotype or trait, functional term, phrase or reference, cell line, cell type or tissue, gene, protein or microRNA) extracted from 21 datasets.
Click the + buttons to view associations for MIR9-1 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 MIR9-1 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 MIR9-1 gene from the CHEA Transcription Factor Binding Site Profiles dataset. | |
| ChEA Transcription Factor Targets | transcription factors binding the promoter of MIR9-1 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 MIR9-1 gene relative to other cell lines from the COSMIC Cell Line Gene CNV Profiles dataset. | |
| CTD Gene-Chemical Interactions | chemicals interacting with MIR9-1 gene/protein from the curated CTD Gene-Chemical Interactions dataset. | |
| CTD Gene-Disease Associations | diseases associated with MIR9-1 gene/protein from the curated CTD Gene-Disease Associations dataset. | |
| ENCODE Histone Modification Site Profiles | histone modification site profiles with high histone modification abundance at MIR9-1 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 MIR9-1 gene from the ENCODE Transcription Factor Binding Site Profiles dataset. | |
| ENCODE Transcription Factor Targets | transcription factors binding the promoter of MIR9-1 gene in ChIP-seq datasets from the ENCODE Transcription Factor Targets dataset. | |
| ESCAPE Omics Signatures of Genes and Proteins for Stem Cells | PubMedIDs of publications reporting gene signatures containing MIR9-1 from the ESCAPE Omics Signatures of Genes and Proteins for Stem Cells dataset. | |
| GAD Gene-Disease Associations | diseases associated with MIR9-1 gene in GWAS and other genetic association datasets from the GAD Gene-Disease Associations dataset. | |
| GeneRIF Biological Term Annotations | biological terms co-occuring with MIR9-1 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 MIR9-1 from the GeneSigDB Published Gene Signatures dataset. | |
| GEO Signatures of Differentially Expressed Genes for Small Molecules | small molecule perturbations changing expression of MIR9-1 gene from the GEO Signatures of Differentially Expressed Genes for Small Molecules dataset. | |
| HuGE Navigator Gene-Phenotype Associations | phenotypes associated with MIR9-1 gene by text-mining GWAS publications from the HuGE Navigator Gene-Phenotype Associations dataset. | |
| JASPAR Predicted Transcription Factor Targets | transcription factors regulating expression of MIR9-1 gene predicted using known transcription factor binding site motifs from the JASPAR Predicted Transcription Factor Targets dataset. | |
| Klijn et al., Nat. Biotechnol., 2015 Cell Line Gene CNV Profiles | cell lines with high or low copy number of MIR9-1 gene relative to other cell lines from the Klijn et al., Nat. Biotechnol., 2015 Cell Line Gene CNV Profiles dataset. | |
| KnockTF Gene Expression Profiles with Transcription Factor Perturbations | transcription factor perturbations changing expression of MIR9-1 gene from the KnockTF Gene Expression Profiles with Transcription Factor Perturbations dataset. | |
| MotifMap Predicted Transcription Factor Targets | transcription factors regulating expression of MIR9-1 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 MIR9-1 gene from the Roadmap Epigenomics Histone Modification Site Profiles dataset. | |
| WikiPathways Pathways 2014 | pathways involving MIR9-1 protein from the Wikipathways Pathways 2014 dataset. | |