| HGNC Family | Non-coding RNAs |
| Name | microRNA 548q |
| 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": "\nRNase H2 plays a crucial role in maintaining genome integrity by removing misincorporated ribonucleotides and processing RNA/DNA hybrids, thereby preventing the accumulation of self-nucleic acid species that can trigger inflammatory and immune responses. Mutations in any of the RNase H2 subunits perturb these functions, leading to chronic interferon signaling and DNA damage, as exemplified in Aicardi‐Goutières syndrome and other autoimmune conditions. Detailed structural and biochemical analyses have revealed that alterations in the catalytic activity—as seen with mutations such as RNase H2A G37S—undermine both nucleic acid processing and protein interactions critical for proper enzyme function."}, {"type": "fg", "children": [{"type": "fg_fs", "start_ref": "1", "end_ref": "5"}]}, {"type": "t", "text": "\n"}]}, {"type": "t", "text": "\n\n"}, {"type": "p", "children": [{"type": "t", "text": "\nIn a distinct line of investigation aimed at understanding responses to weight-loss interventions, miR-548q (also referred to as MIR548Q) was identified in white blood cells as being significantly overexpressed in individuals who respond well to dietary reduction. Functional assays demonstrated that increased levels of miR-548q contribute to the downregulation of glycogen synthase kinase 3 beta (GSK3B) via binding to its 3′-untranslated region. This regulatory interaction suggests that miR-548q not only serves as a biomarker for weight-loss efficacy but may also modulate proinflammatory signaling cascades."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "6"}]}, {"type": "t", "text": "\n"}]}, {"type": "t", "text": "\n\n"}, {"type": "p", "children": [{"type": "t", "text": "\nFurthermore, studies exploring the molecular underpinnings of cellular senescence have underscored how deficiencies in nucleic acid repair mechanisms—such as those orchestrated by RNase H2—can lead to the accumulation of aberrant nucleotide species that trigger inflammatory responses via the senescence-associated secretory phenotype (SASP). This intersection between impaired nucleic acid metabolism, chronic inflammation, and metabolic regulation raises the possibility that miR-548q’s modulation of GSK3B could influence similar inflammatory and stress-related pathways, thereby linking metabolic outcomes with the broader context of DNA repair and immune activation."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "7"}]}, {"type": "t", "text": "\n"}]}, {"type": "rg", "children": [{"type": "r", "ref": 1, "children": [{"type": "t", "text": "Vladislav Pokatayev, Naushaba Hasin, Hyongi Chon, et al. "}, {"type": "b", "children": [{"type": "t", "text": "RNase H2 catalytic core Aicardi-Goutières syndrome-related mutant invokes cGAS-STING innate immune-sensing pathway in mice."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "J Exp Med (2016)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1084/jem.20151464"}], "href": "https://doi.org/10.1084/jem.20151464"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "26880576"}], "href": "https://pubmed.ncbi.nlm.nih.gov/26880576"}]}, {"type": "r", "ref": 2, "children": [{"type": "t", "text": "Nadine M Shaban, Scott Harvey, Fred W Perrino, et al. "}, {"type": "b", "children": [{"type": "t", "text": "The structure of the mammalian RNase H2 complex provides insight into RNA.NA hybrid processing to prevent immune dysfunction."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "J Biol Chem (2010)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1074/jbc.M109.059048"}], "href": "https://doi.org/10.1074/jbc.M109.059048"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "19923215"}], "href": "https://pubmed.ncbi.nlm.nih.gov/19923215"}]}, {"type": "r", "ref": 3, "children": [{"type": "t", "text": "Ryo Uehara, Susana M Cerritelli, Naushaba Hasin, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Two RNase H2 Mutants with Differential rNMP Processing Activity Reveal a Threshold of Ribonucleotide Tolerance for Embryonic Development."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Cell Rep (2018)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1016/j.celrep.2018.10.019"}], "href": "https://doi.org/10.1016/j.celrep.2018.10.019"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "30380406"}], "href": "https://pubmed.ncbi.nlm.nih.gov/30380406"}]}, {"type": "r", "ref": 4, "children": [{"type": "t", "text": "Stephanie R Coffin, Thomas Hollis, Fred W Perrino "}, {"type": "b", "children": [{"type": "t", "text": "Functional consequences of the RNase H2A subunit mutations that cause Aicardi-Goutieres syndrome."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "J Biol Chem (2011)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1074/jbc.M111.228833"}], "href": "https://doi.org/10.1074/jbc.M111.228833"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "21454563"}], "href": "https://pubmed.ncbi.nlm.nih.gov/21454563"}]}, {"type": "r", "ref": 5, "children": [{"type": "t", "text": "Björn Rabe "}, {"type": "b", "children": [{"type": "t", "text": "Aicardi-Goutières syndrome: clues from the RNase H2 knock-out mouse."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "J Mol Med (Berl) (2013)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1007/s00109-013-1061-x"}], "href": "https://doi.org/10.1007/s00109-013-1061-x"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "23744109"}], "href": "https://pubmed.ncbi.nlm.nih.gov/23744109"}]}, {"type": "r", "ref": 6, "children": [{"type": "t", "text": "Marcos Garcia-Lacarte, Maria L Mansego, M Angeles Zulet, et al. "}, {"type": "b", "children": [{"type": "t", "text": "miR-1185-1 and miR-548q Are Biomarkers of Response to Weight Loss and Regulate the Expression of "}, {"type": "a", "children": [{"type": "t", "text": "i"}], "href": "i"}, {"type": "t", "text": "GSK3B"}, {"type": "a", "children": [{"type": "t", "text": "/i"}], "href": "/i"}, {"type": "t", "text": "."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Cells (2019)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.3390/cells8121548"}], "href": "https://doi.org/10.3390/cells8121548"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "31801236"}], "href": "https://pubmed.ncbi.nlm.nih.gov/31801236"}]}, {"type": "r", "ref": 7, "children": [{"type": "t", "text": "Sho Sugawara, Ryo Okada, Tze Mun Loo, et al. "}, {"type": "b", "children": [{"type": "t", "text": "RNaseH2A downregulation drives inflammatory gene expression via genomic DNA fragmentation in senescent and cancer cells."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Commun Biol (2022)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1038/s42003-022-04369-7"}], "href": "https://doi.org/10.1038/s42003-022-04369-7"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "36577784"}], "href": "https://pubmed.ncbi.nlm.nih.gov/36577784"}]}]}]}
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| NCBI Gene ID | 100313841 |
| 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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MIR548Q has 286 functional associations with biological entities spanning 3 categories (molecular profile, cell line, cell type or tissue, gene, protein or microRNA) extracted from 11 datasets.
Click the + buttons to view associations for MIR548Q 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 MIR548Q 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 MIR548Q gene from the CHEA Transcription Factor Binding Site Profiles dataset. | |
| ChEA Transcription Factor Targets | transcription factors binding the promoter of MIR548Q 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 MIR548Q 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 MIR548Q 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 MIR548Q gene from the ENCODE Transcription Factor Binding Site Profiles dataset. | |
| ENCODE Transcription Factor Targets | transcription factors binding the promoter of MIR548Q gene in ChIP-seq datasets from the ENCODE Transcription Factor Targets dataset. | |
| JASPAR Predicted Transcription Factor Targets | transcription factors regulating expression of MIR548Q 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 MIR548Q 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 MIR548Q 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 MIR548Q gene from the Roadmap Epigenomics Histone Modification Site Profiles dataset. | |