| HGNC Family | Non-coding RNAs |
| Name | microRNA 378h |
| 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": "\nThe collection of abstracts provided focuses on the roles of ADP‑ribosylation enzymes (MACROD1 and MACROD2) and leukemia‑related protein 16 (LRP16) rather than on MIR378H. For example, one study investigated MACROD1 and MACROD2 gene disruption in mice and found that loss of these enzymes was associated with specific behavioral alterations—female‑specific motor coordination defects for Macrod1 loss and hyperactivity with a bradykinesia‑like gait for Macrod2 disruption—highlighting their involvement in processes linked to mitochondrial and neuropsychiatric dysfunction."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "1"}]}, {"type": "t", "text": "\n"}]}, {"type": "t", "text": "\n\n"}, {"type": "p", "children": [{"type": "t", "text": "\nOther studies centered on LRP16, demonstrating its function as a negative regulator of insulin action and adipogenesis. In adipocyte models, LRP16 depletion reduced the expression and secretion of pro‑inflammatory cytokines while enhancing markers of insulin signaling and adipocyte differentiation, whereas LRP16 overexpression led to diminished insulin‑induced glucose uptake and altered activity of key signaling molecules such as IRS‑1, PI3‑K, Akt, and mTOR."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "2"}]}, {"type": "t", "text": " In pancreatic β‑cells, LRP16 was shown to regulate insulin transcription and secretion, promote cell proliferation, and protect cells from apoptosis by modulating signaling pathways that include Akt and the nuclear localization of transcription factors"}, {"type": "fg", "children": [{"type": "fg_f", "ref": "3"}]}, {"type": "t", "text": ";."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "4"}]}, {"type": "t", "text": " Furthermore, complementary work in muscle cells provided additional insights into LRP16’s role in mediating insulin resistance."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "5"}]}, {"type": "t", "text": "\n"}]}, {"type": "t", "text": "\n\n"}, {"type": "p", "children": [{"type": "t", "text": "\nNotably, while these studies illuminate important aspects of MACROD proteins and LRP16 in diverse cellular and physiological contexts, none of the abstracts address or provide data regarding the function of MIR378H. Consequently, based on the provided literature, no conclusions can be drawn concerning the role of MIR378H. Further research directly investigating MIR378H would be necessary to determine its biological significance and potential connections to the pathways highlighted in these studies.\n"}]}, {"type": "rg", "children": [{"type": "r", "ref": 1, "children": [{"type": "t", "text": "Kerryanne Crawford, Peter L Oliver, Thomas Agnew, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Behavioural Characterisation of "}, {"type": "a", "children": [{"type": "t", "text": "i"}], "href": "i"}, {"type": "t", "text": "Macrod1"}, {"type": "a", "children": [{"type": "t", "text": "/i"}], "href": "/i"}, {"type": "t", "text": " and "}, {"type": "a", "children": [{"type": "t", "text": "i"}], "href": "i"}, {"type": "t", "text": "Macrod2"}, {"type": "a", "children": [{"type": "t", "text": "/i"}], "href": "/i"}, {"type": "t", "text": " Knockout Mice."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Cells (2021)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.3390/cells10020368"}], "href": "https://doi.org/10.3390/cells10020368"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "33578760"}], "href": "https://pubmed.ncbi.nlm.nih.gov/33578760"}]}, {"type": "r", "ref": 2, "children": [{"type": "t", "text": "L Zang, B Xue, Z Lu, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Identification of LRP16 as a negative regulator of insulin action and adipogenesis in 3T3-L1 adipocytes."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Horm Metab Res (2013)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1055/s-0032-1331215"}], "href": "https://doi.org/10.1055/s-0032-1331215"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "23389992"}], "href": "https://pubmed.ncbi.nlm.nih.gov/23389992"}]}, {"type": "r", "ref": 3, "children": [{"type": "t", "text": "Xiao-Jin Li, Qing-Hua Guo, Xuan Wang, et al. "}, {"type": "b", "children": [{"type": "t", "text": "LRP16 gene protects mouse insulinoma MIN6 cells against fatty acid-induced apoptosis through Akt/FoxO1 signaling."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Chin Med J (Engl) (2012)"}]}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "22800886"}], "href": "https://pubmed.ncbi.nlm.nih.gov/22800886"}]}, {"type": "r", "ref": 4, "children": [{"type": "t", "text": "Xiaojin Li, Bing Xue, Xuan Wang, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Reduced expression of the LRP16 gene in mouse insulinoma (MIN6) cells exerts multiple effects on insulin content, proliferation and apoptosis."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "J Huazhong Univ Sci Technolog Med Sci (2012)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1007/s11596-012-0034-6"}], "href": "https://doi.org/10.1007/s11596-012-0034-6"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "22528219"}], "href": "https://pubmed.ncbi.nlm.nih.gov/22528219"}]}, {"type": "r", "ref": 5, "children": [{"type": "t", "text": "Li Zang, Yi-ming Mu, Zhao-hui Lü, et al. "}, {"type": "b", "children": [{"type": "t", "text": "[LRP16 gene causes insulin resistance in C2-C12 cells by inhibiting the IRS-1 signaling and the transcriptional activity of peroxisome proliferator actived receptor γ]."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Zhonghua Yi Xue Za Zhi (2011)"}]}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "21756814"}], "href": "https://pubmed.ncbi.nlm.nih.gov/21756814"}]}]}]}
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| NCBI Gene ID | 100616306 |
| 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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MIR378H has 109 functional associations with biological entities spanning 1 categories (cell line, cell type or tissue) extracted from 2 datasets.
Click the + buttons to view associations for MIR378H from the datasets below.
If available, associations are ranked by standardized value
| Dataset | Summary | |
|---|---|---|
| GTEx Tissue Gene Expression Profiles | tissues with high or low expression of MIR378H gene relative to other tissues from the GTEx Tissue Gene Expression Profiles dataset. | |
| Klijn et al., Nat. Biotechnol., 2015 Cell Line Gene CNV Profiles | cell lines with high or low copy number of MIR378H gene relative to other cell lines from the Klijn et al., Nat. Biotechnol., 2015 Cell Line Gene CNV Profiles dataset. | |