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Gene Symbol |
MIR124-3 |
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Aliases |
MIRN124-3, MIRN124A3, mir-124-3 |
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Entrez Gene ID |
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Gene Name |
MicroRNA 124-3 |
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Chromosomal Location |
20q13.33 |
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HGNC ID |
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Summary |
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]
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Associated Diseases
| Disease group | Disease Name | References |
| Endocrine System Diseases |
| PCOS |
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| Neoplasms |
| Liver Cancer |
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| Renal Cancer |
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| Pancreatic Neoplasm |
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| Colorectal Cancer |
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| Psychiatric/Brain disorders |
| Borderline Personality Disorder |
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References |
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| Ding Cai-Fei, Chen Wang-Qiang, Zhu Yu-Tian, Bo Ya-Li, Hu Hui-Min, Zheng Ruo-Heng |
| Reproductive Department, Integrated Chinese and Western Medicine Hospital of Zhejiang Province , Hangzhou , P. R. China. |
| Hum Fertil (Camb). 2015 Mar;18(1):22-9. doi: 10.3109/14647273.2014.956811. Epub |
Abstract
AIM: To explore the pattern of expression of circulating miRNAs in patients with polycystic ovary syndrome (PCOS). MATERIALS AND METHODS: Microarray and qRT-PCR were used to investigate circulating miRNAs in PCOS during clinical diagnosis. The targets of dys-regulated miRNAs were predicted using bioinformatics, followed by function and pathway analysis using the databases of Gene Ontology and the KEGG pathway. RESULTS: BMI, triglyceride, HOMA-IR, Testosterone and CRP levels were significantly higher, while estradiol was significantly lower in PCOS than in control groups. After SAM analysis, 5 circulating miRNAs were significantly up-regulated (let-7i-3pm, miR-5706, miR-4463, miR-3665, miR-638) and 4 (miR-124-3p, miR-128, miR-29a-3p, let-7c) were down-regulated in PCOS patients. Hierarchical clustering showed a general distinction between PCOS and control samples in a heat map. After joint prediction by different statistical methods, 34 and 41 genes targeted were up-and down-regulated miRNAs, in PCOS and controls, respectively. Further, GO and KEGG analyses revealed the involvement of the immune system, ATP binding, MAPK signaling, apoptosis, angiogenesis, response to reactive oxygen species and p53 signaling pathways in PCOS. CONCLUSIONS: We report a novel non-invasive miRNA profile which distinguishes PCOS patients from healthy controls. The miRNA-target database may provide a novel understanding of PCOS and potential therapeutic targets. |
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| © 2019, Biomedical Informatics Centre, NIRRH |
National Institute for Research in Reproductive Health, Jehangir Merwanji Street, Parel, Mumbai-400 012
Tel: 91-22-24192104, Fax No: 91-22-24139412
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