MIR103B1 Gene

HGNC Family Non-coding RNAs
Name microRNA 103b-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": "\nMicroRNA‐103, including the MIR103B1 variant, has emerged as a multifaceted regulator in human disease. In colorectal cancer, miR‐103 is markedly up‐regulated and functions as an oncogene by directly repressing tumor suppressors such as DICER and PTEN. This repression enhances tumor cell proliferation and migration, and circulating levels of miR‐103 have been explored as potential diagnostic and prognostic biomarkers in patients with colorectal cancer."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "1"}]}, {"type": "t", "text": "\n"}]}, {"type": "t", "text": "\n\n"}, {"type": "p", "children": [{"type": "t", "text": "\nIn hepatocellular carcinoma, overexpression of miR‐103 promotes the epithelial‐to‐mesenchymal transition (EMT) and metastasis by directly targeting LATS2, a key serine/threonine–protein kinase of the Hippo signaling pathway. This targeting reduces phosphorylation of downstream effectors such as YAP, correlating with increased vimentin and decreased E‐cadherin expression, which are associated with poor clinical outcomes—thereby positioning the miR‐103/LATS2 axis as a promising therapeutic target."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "3"}]}, {"type": "t", "text": "\n"}]}, {"type": "t", "text": "\n\n"}, {"type": "p", "children": [{"type": "t", "text": "\nBeyond cancer, the miR‐103 family—including MIR103B1—plays a significant role in metabolic regulation. Investigations have linked circulating miR‐103 to insulin resistance and nonalcoholic fatty liver disease, while other studies have demonstrated that miR‐103 isoforms (miR‐103a and miR‐103b) regulate critical factors like CAV‐1 and SFRP4 to maintain glucose homeostasis in type 2 diabetes mellitus. These findings underscore the potential utility of miR‐103 as a biomarker for metabolic disorders."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "4"}]}, {"type": "t", "text": "\n"}]}, {"type": "rg", "children": [{"type": "r", "ref": 1, "children": [{"type": "t", "text": "Li Geng, Bing Sun, Bo Gao, et al. "}, {"type": "b", "children": [{"type": "t", "text": "MicroRNA-103 promotes colorectal cancer by targeting tumor suppressor DICER and PTEN."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Int J Mol Sci (2014)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.3390/ijms15058458"}], "href": "https://doi.org/10.3390/ijms15058458"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "24828205"}], "href": "https://pubmed.ncbi.nlm.nih.gov/24828205"}]}, {"type": "r", "ref": 2, "children": [{"type": "t", "text": "D-S Wang, B Zhong, M-S Zhang, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Upregulation of serum miR-103 predicts unfavorable prognosis in patients with colorectal cancer."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Eur Rev Med Pharmacol Sci (2018)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.26355/eurrev_201807_15506"}], "href": "https://doi.org/10.26355/eurrev_201807_15506"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "30058684"}], "href": "https://pubmed.ncbi.nlm.nih.gov/30058684"}]}, {"type": "r", "ref": 3, "children": [{"type": "t", "text": "Li-Li Han, Xiao-Ran Yin, Shu-Qun Zhang "}, {"type": "b", "children": [{"type": "t", "text": "miR-103 promotes the metastasis and EMT of hepatocellular carcinoma by directly inhibiting LATS2."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Int J Oncol (2018)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.3892/ijo.2018.4580"}], "href": "https://doi.org/10.3892/ijo.2018.4580"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "30272278"}], "href": "https://pubmed.ncbi.nlm.nih.gov/30272278"}]}, {"type": "r", "ref": 4, "children": [{"type": "t", "text": "Qian Xu, Ying Li, Yong-Fang Shang, et al. "}, {"type": "b", "children": [{"type": "t", "text": "miRNA-103: molecular link between insulin resistance and nonalcoholic fatty liver disease."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "World J Gastroenterol (2015)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.3748/wjg.v21.i2.511"}], "href": "https://doi.org/10.3748/wjg.v21.i2.511"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "25593466"}], "href": "https://pubmed.ncbi.nlm.nih.gov/25593466"}]}, {"type": "r", "ref": 5, "children": [{"type": "t", "text": "Mao Luo, Chunrong Xu, Yulin Luo, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Circulating miR-103 family as potential biomarkers for type 2 diabetes through targeting CAV-1 and SFRP4."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Acta Diabetol (2020)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1007/s00592-019-01430-6"}], "href": "https://doi.org/10.1007/s00592-019-01430-6"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "31583475"}], "href": "https://pubmed.ncbi.nlm.nih.gov/31583475"}]}]}]}
Synonyms HSA-MIR-103-1-AS, MIR103-1AS, MIRN103-1AS
NCBI Gene ID 100302238
API
Download Associations
Predicted Functions View MIR103B1's ARCHS4 Predicted Functions.
Co-expressed Genes View MIR103B1's ARCHS4 Predicted Functions.
Expression in Tissues and Cell Lines View MIR103B1's ARCHS4 Predicted Functions.

Functional Associations

MIR103B1 has 264 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 10 datasets.

Click the + buttons to view associations for MIR103B1 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 MIR103B1 gene relative to other cell lines from the CCLE Cell Line Gene CNV Profiles dataset.
ENCODE Histone Modification Site Profiles histone modification site profiles with high histone modification abundance at MIR103B1 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 MIR103B1 gene from the ENCODE Transcription Factor Binding Site Profiles dataset.
ENCODE Transcription Factor Targets transcription factors binding the promoter of MIR103B1 gene in ChIP-seq datasets from the ENCODE Transcription Factor Targets dataset.
GeneRIF Biological Term Annotations biological terms co-occuring with MIR103B1 gene in literature-supported statements describing functions of genes from the GeneRIF Biological Term Annotations dataset.
JASPAR Predicted Transcription Factor Targets transcription factors regulating expression of MIR103B1 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 MIR103B1 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 MIR103B1 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 MIR103B1 gene from the Roadmap Epigenomics Histone Modification Site Profiles dataset.
WikiPathways Pathways 2014 pathways involving MIR103B1 protein from the Wikipathways Pathways 2014 dataset.