| HGNC Family | Non-coding RNAs |
| Name | microRNA 3199-2 |
| 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": "\nRecent studies have highlighted the importance of secreted enzymes such as PM20D1 in regulating energy balance, metabolism, and even neuronal function. For example, PM20D1 has been shown to catalyze the formation of bioactive N‑acyl amino acids that serve as endogenous uncouplers, thus promoting energy expenditure and improving glucose homeostasis."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "1"}]}, {"type": "t", "text": " In addition, perturbations in pathways regulated by PM20D1 have been implicated in obesity and neurophysiological deficits, further underscoring the enzyme’s multifaceted role in metabolic and neural tissues."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "3"}]}, {"type": "t", "text": "\n"}]}, {"type": "t", "text": "\n\n"}, {"type": "p", "children": [{"type": "t", "text": "\nIn parallel with these metabolic investigations, high-throughput profiling in papillary renal cell carcinoma (PRCC) has identified specific microRNAs with prognostic significance. Among 105 differentially expressed miRNAs, hsa‐mir‑3199‑2 emerged as one of two critical candidates (alongside hsa‐mir‑1293) as determined by LASSO regression analysis. This study predicted that hsa‑mir‑3199‑2 regulates a network of approximately 197 target genes, with functional enrichment in pathways such as the platelet activating factor biosynthetic process, epithelial cell maturation, and the regulation of the IκB kinase complex."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "5"}]}, {"type": "t", "text": "\n"}]}, {"type": "t", "text": "\n\n"}, {"type": "p", "children": [{"type": "t", "text": "\nAlthough the mechanistic details of hsa‑mir‑3199‑2’s function remain to be fully elucidated, its differential expression and association with distinct cellular pathways suggest that it may play a regulatory role in PRCC pathogenesis. The integration of these findings with broader insights into metabolic regulation—particularly those involving PM20D1—raises the intriguing possibility that hsa‑mir‑3199‑2 could modulate cancer-relevant processes such as inflammation, cellular maturation, and energy signaling. Ultimately, this positions hsa‑mir‑3199‑2 as a promising prognostic biomarker that may offer novel insights for clinical diagnosis and targeted therapy in PRCC."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "5"}]}, {"type": "t", "text": "\n"}]}, {"type": "rg", "children": [{"type": "r", "ref": 1, "children": [{"type": "t", "text": "Jonathan Z Long, Katrin J Svensson, Leslie A Bateman, et al. "}, {"type": "b", "children": [{"type": "t", "text": "The Secreted Enzyme PM20D1 Regulates Lipidated Amino Acid Uncouplers of Mitochondria."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Cell (2016)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1016/j.cell.2016.05.071"}], "href": "https://doi.org/10.1016/j.cell.2016.05.071"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "27374330"}], "href": "https://pubmed.ncbi.nlm.nih.gov/27374330"}]}, {"type": "r", "ref": 2, "children": [{"type": "t", "text": "Jonathan Z Long, Alexander M Roche, Charles A Berdan, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Ablation of PM20D1 reveals "}, {"type": "a", "children": [{"type": "t", "text": "i"}], "href": "i"}, {"type": "t", "text": "N"}, {"type": "a", "children": [{"type": "t", "text": "/i"}], "href": "/i"}, {"type": "t", "text": "-acyl amino acid control of metabolism and nociception."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Proc Natl Acad Sci U S A (2018)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1073/pnas.1803389115"}], "href": "https://doi.org/10.1073/pnas.1803389115"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "29967167"}], "href": "https://pubmed.ncbi.nlm.nih.gov/29967167"}]}, {"type": "r", "ref": 3, "children": [{"type": "t", "text": "Dandan Li, Yang Liu, Wei Gao, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Inhibition of miR-324-5p increases PM20D1-mediated white and brown adipose loss and reduces body weight in juvenile mice."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Eur J Pharmacol (2019)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1016/j.ejphar.2019.172708"}], "href": "https://doi.org/10.1016/j.ejphar.2019.172708"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "31568785"}], "href": "https://pubmed.ncbi.nlm.nih.gov/31568785"}]}, {"type": "r", "ref": 4, "children": [{"type": "t", "text": "Nanshan Song, Yinquan Fang, Hong Zhu, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Kir6.2 is essential to maintain neurite features by modulating PM20D1-reduced mitochondrial ATP generation."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Redox Biol (2021)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1016/j.redox.2021.102168"}], "href": "https://doi.org/10.1016/j.redox.2021.102168"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "34673451"}], "href": "https://pubmed.ncbi.nlm.nih.gov/34673451"}]}, {"type": "r", "ref": 5, "children": [{"type": "t", "text": "Wen Luo, Lei Wang, Mao-Hua Luo, et al. "}, {"type": "b", "children": [{"type": "t", "text": "hsa-mir-3199-2 and hsa-mir-1293 as Novel Prognostic Biomarkers of Papillary Renal Cell Carcinoma by COX Ratio Risk Regression Model Screening."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "J Cell Biochem (2017)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1002/jcb.26008"}], "href": "https://doi.org/10.1002/jcb.26008"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "28338236"}], "href": "https://pubmed.ncbi.nlm.nih.gov/28338236"}]}]}]}
|
| Synonyms | MIR-3199-2 |
| NCBI Gene ID | 100422998 |
| API | |
| Download Associations | |
| Predicted Functions |
![]() |
| Co-expressed Genes |
![]() |
| Expression in Tissues and Cell Lines |
![]() |
MIR3199-2 has 1,005 functional associations with biological entities spanning 3 categories (molecular profile, cell line, cell type or tissue, gene, protein or microRNA) extracted from 9 datasets.
Click the + buttons to view associations for MIR3199-2 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 MIR3199-2 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 MIR3199-2 gene from the CHEA Transcription Factor Binding Site Profiles dataset. | |
| ChEA Transcription Factor Targets | transcription factors binding the promoter of MIR3199-2 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 MIR3199-2 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 MIR3199-2 gene from the ENCODE Transcription Factor Binding Site Profiles dataset. | |
| ENCODE Transcription Factor Targets | transcription factors binding the promoter of MIR3199-2 gene in ChIP-seq datasets from the ENCODE Transcription Factor Targets dataset. | |
| JASPAR Predicted Transcription Factor Targets | transcription factors regulating expression of MIR3199-2 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 MIR3199-2 gene relative to other cell lines from the Klijn et al., Nat. Biotechnol., 2015 Cell Line Gene CNV Profiles dataset. | |
| Roadmap Epigenomics Histone Modification Site Profiles | histone modification site profiles with high histone modification abundance at MIR3199-2 gene from the Roadmap Epigenomics Histone Modification Site Profiles dataset. | |