| HGNC Family | Non-coding RNAs |
| Name | microRNA 103a-2 |
| 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": "\nmiR‐103a‐3p is emerging as a versatile post‐transcriptional regulator in cancer where its function appears to be highly context‐dependent. In some tumors, such as colorectal and gastric cancers, elevated miR‐103/103a‐3p levels promote proliferation, migration, and cancer stemness by directly targeting tumor‐suppressive genes including DICER, PTEN, KLF4, Axin2, and even modulating regulatory regions such as the 5′ untranslated region of GPRC5A."}, {"type": "fg", "children": [{"type": "fg_fs", "start_ref": "1", "end_ref": "5"}]}, {"type": "t", "text": " Conversely, in certain malignancies like non‐small cell lung cancer and specific subtypes of head and prostate cancers, reduced levels of miR‐103a (or altered isomiforms such as miR‐103a‐2‐5p) correlate with enhanced tumor aggressiveness, indicating that its regulatory action can also function in a tumor‐suppressive manner, for instance by targeting PDCD10 or modulating androgen receptor variants."}, {"type": "fg", "children": [{"type": "fg_fs", "start_ref": "6", "end_ref": "10"}]}, {"type": "t", "text": "\n"}]}, {"type": "t", "text": "\n\n"}, {"type": "p", "children": [{"type": "t", "text": "\nBeyond its roles in oncogenesis, miR‐103a‐3p has been implicated in a range of non‐malignant disorders and physiologic processes. In the kidney, Angiotensin II‐induced renal inflammation and fibrosis are linked to elevated circulating miR‐103a‐3p that suppresses SNRK, thereby unleashing NF‐κB–mediated inflammatory cascades."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "11"}]}, {"type": "t", "text": " Similarly, in liver fibrosis, altered levels of exosomal miR‐103‐3p from macrophages affect hepatic stellate cell activation via repression of KLF4, while in vascular endothelium, its modulation of BNIP3 expression helps regulate autophagy and prevent pyroptosis in response to oxidative stress."}, {"type": "fg", "children": [{"type": "fg_fs", "start_ref": "13", "end_ref": "20"}]}, {"type": "t", "text": " Moreover, emerging evidence suggests that miR‐103a‐3p plays roles as a circulating biomarker in neurodevelopmental and neurodegenerative disorders (with links to autism spectrum disorder and Alzheimer’s disease), in thrombosis where it curbs CXCL12‐mediated pro‐inflammatory signals, and even in the reproductive setting by negatively regulating BDNF to influence oocyte maturation"}, {"type": "fg", "children": [{"type": "fg_f", "ref": "21"}, {"type": "fg_f", "ref": "16"}]}, {"type": "t", "text": "[also relevant in renal cell models]."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "13"}]}, {"type": "t", "text": "\n"}]}, {"type": "t", "text": "\n\n"}, {"type": "p", "children": [{"type": "t", "text": "\nIn addition to its direct gene‐regulatory functions, miR‐103a‐3p engages in complex noncoding RNA networks and contributes to the regulation of nutrient transport. For example, it is directly involved in fine‐tuning intestinal vitamin C uptake by targeting the 3′‐UTR of hSVCT1, and its bioavailability can be modulated by competing endogenous RNAs such as circRNAs that sequester it to regulate cell cycle proteins like CCNE1. Furthermore, profiling studies in esophageal squamous cell carcinoma and additional investigations in non‐small cell lung cancer emphasize its emerging potential as both a mechanistic effector and a circulating biomarker."}, {"type": "fg", "children": [{"type": "fg_fs", "start_ref": "23", "end_ref": "26"}]}, {"type": "t", "text": "\n"}]}, {"type": "rg", "children": [{"type": "r", "ref": 1, "children": [{"type": "t", "text": "Li Geng, Bing Sun, Bo Gao, et al. 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"}, {"type": "b", "children": [{"type": "t", "text": "Tumor-derived exosomal miR-103a-2-5p facilitates esophageal squamous cell carcinoma cell proliferation and migration."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Eur Rev Med Pharmacol Sci (2020)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.26355/eurrev_202006_21505"}], "href": "https://doi.org/10.26355/eurrev_202006_21505"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "32572925"}], "href": "https://pubmed.ncbi.nlm.nih.gov/32572925"}]}, {"type": "r", "ref": 26, "children": [{"type": "t", "text": "Haixun Li, Muren Huhe, Jiaxin Lou "}, {"type": "b", "children": [{"type": "t", "text": "MicroRNA-103a-3p Promotes Cell Proliferation and Invasion in Non-Small-Cell Lung Cancer Cells through Akt Pathway by Targeting PTEN."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Biomed Res Int (2021)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1155/2021/7590976"}], "href": "https://doi.org/10.1155/2021/7590976"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "34307670"}], "href": "https://pubmed.ncbi.nlm.nih.gov/34307670"}]}]}]}
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| Synonyms | MIRN103-2, MIR103-2, MIR-103A-2 |
| NCBI Gene ID | 406896 |
| 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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MIR103A2 has 392 functional associations with biological entities spanning 5 categories (molecular profile, functional term, phrase or reference, chemical, cell line, cell type or tissue, gene, protein or microRNA) extracted from 15 datasets.
Click the + buttons to view associations for MIR103A2 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 MIR103A2 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 MIR103A2 gene from the CHEA Transcription Factor Binding Site Profiles dataset. | |
| ChEA Transcription Factor Targets | transcription factors binding the promoter of MIR103A2 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 MIR103A2 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 MIR103A2 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 MIR103A2 gene from the ENCODE Transcription Factor Binding Site Profiles dataset. | |
| ENCODE Transcription Factor Targets | transcription factors binding the promoter of MIR103A2 gene in ChIP-seq datasets from the ENCODE Transcription Factor Targets dataset. | |
| GeneRIF Biological Term Annotations | biological terms co-occuring with MIR103A2 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 MIR103A2 from the GeneSigDB Published Gene Signatures dataset. | |
| GEO Signatures of Differentially Expressed Genes for Small Molecules | small molecule perturbations changing expression of MIR103A2 gene from the GEO Signatures of Differentially Expressed Genes for Small Molecules dataset. | |
| JASPAR Predicted Transcription Factor Targets | transcription factors regulating expression of MIR103A2 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 MIR103A2 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 MIR103A2 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 MIR103A2 gene from the Roadmap Epigenomics Histone Modification Site Profiles dataset. | |
| WikiPathways Pathways 2014 | pathways involving MIR103A2 protein from the Wikipathways Pathways 2014 dataset. | |