| Name | mitochondrial ribosomal protein S31 pseudogene 5 |
| Summary |
{"type": "root", "children": [{"type": "p", "children": [{"type": "t", "text": "\nRecent research has illuminated a rapidly evolving non‐coding RNA landscape, wherein retrotransposition and species‐specific expansions contribute to the emergence of novel regulatory elements. In this context, analyses of retrotransposon‐derived miRNA gene clusters and evolutionary pressures on miRNA targets have provided important insights into fundamental developmental processes and cellular stress responses."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "1"}]}, {"type": "t", "text": "\n"}]}, {"type": "t", "text": "\n\n"}, {"type": "p", "children": [{"type": "t", "text": "\nConcurrently, imprinted genes and their hosted miRNAs, such as those resident in the Sfmbt2 locus, have been shown to orchestrate key aspects of extra-embryonic tissue formation, placental development, and renal osmoregulation. Studies demonstrate that perturbations in these miRNA networks can adversely affect trophoblast stem cell maintenance and alter responses to hypertonic stress, thereby emphasizing the broader regulatory roles of non-coding RNAs in development and homeostasis."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "3"}]}, {"type": "t", "text": "\n"}]}, {"type": "t", "text": "\n\n"}, {"type": "p", "children": [{"type": "t", "text": "\nWithin this expansive regulatory framework, a recent investigation into the adenoma-to-carcinoma transition in colorectal cancer identified a tumor-specific fusion gene—MRPS31-SUGT1—whose sequence is 100% identical to the long non-coding RNA MRPS31P5. Emerging evidence suggests that MRPS31P5 may function as a competitive endogenous RNA (ceRNA), acting as a molecular sponge for miRNAs and as an interactor of mRNAs. This regulatory capacity implies that MRPS31P5 could modulate gene expression networks crucial for tumor progression and, thus, may serve as a potential biomarker for the early detection of colorectal cancer."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "5"}]}, {"type": "t", "text": "\n"}]}, {"type": "rg", "children": [{"type": "r", "ref": 1, "children": [{"type": "t", "text": "Stefan Lehnert, Vladimir Kapitonov, Pushpike J Thilakarathne, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Modeling the asymmetric evolution of a mouse and rat-specific microRNA gene cluster intron 10 of the Sfmbt2 gene."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "BMC Genomics (2011)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1186/1471-2164-12-257"}], "href": "https://doi.org/10.1186/1471-2164-12-257"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "21605348"}], "href": "https://pubmed.ncbi.nlm.nih.gov/21605348"}]}, {"type": "r", "ref": 2, "children": [{"type": "t", "text": "Grace X Y Zheng, Arvind Ravi, Genevieve M Gould, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Genome-wide impact of a recently expanded microRNA cluster in mouse."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Proc Natl Acad Sci U S A (2011)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1073/pnas.1112772108"}], "href": "https://doi.org/10.1073/pnas.1112772108"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "21911408"}], "href": "https://pubmed.ncbi.nlm.nih.gov/21911408"}]}, {"type": "r", "ref": 3, "children": [{"type": "t", "text": "Kamelia Miri, Keith Latham, Barbara Panning, et al. "}, {"type": "b", "children": [{"type": "t", "text": "The imprinted polycomb group gene Sfmbt2 is required for trophoblast maintenance and placenta development."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Development (2013)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1242/dev.096511"}], "href": "https://doi.org/10.1242/dev.096511"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "24154523"}], "href": "https://pubmed.ncbi.nlm.nih.gov/24154523"}]}, {"type": "r", "ref": 4, "children": [{"type": "t", "text": "Yu Luo, Ying Liu, Meng Liu, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Sfmbt2 10th intron-hosted miR-466(a/e)-3p are important epigenetic regulators of Nfat5 signaling, osmoregulation and urine concentration in mice."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Biochim Biophys Acta (2014)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1016/j.bbagrm.2013.12.005"}], "href": "https://doi.org/10.1016/j.bbagrm.2013.12.005"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "24389345"}], "href": "https://pubmed.ncbi.nlm.nih.gov/24389345"}]}, {"type": "r", "ref": 5, "children": [{"type": "t", "text": "Anna Panza, Stefano Castellana, Giuseppe Biscaglia, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Transcriptome and Gene Fusion Analysis of Synchronous Lesions Reveals lncMRPS31P5 as a Novel Transcript Involved in Colorectal Cancer."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Int J Mol Sci (2020)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.3390/ijms21197120"}], "href": "https://doi.org/10.3390/ijms21197120"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "32992457"}], "href": "https://pubmed.ncbi.nlm.nih.gov/32992457"}]}]}]}
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| Synonyms | MRPS31P3 |
| NCBI Gene ID | 100887750 |
| 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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MRPS31P5 has 238 functional associations with biological entities spanning 3 categories (chemical, cell line, cell type or tissue, gene, protein or microRNA) extracted from 9 datasets.
Click the + buttons to view associations for MRPS31P5 from the datasets below.
If available, associations are ranked by standardized value
| Dataset | Summary | |
|---|---|---|
| Allen Brain Atlas Developing Human Brain Tissue Gene Expression Profiles by RNA-seq | tissue samples with high or low expression of MRPS31P5 gene relative to other tissue samples from the Allen Brain Atlas Developing Human Brain Tissue Gene Expression Profiles by RNA-seq dataset. | |
| CCLE Cell Line Gene CNV Profiles | cell lines with high or low copy number of MRPS31P5 gene relative to other cell lines from the CCLE Cell Line Gene CNV Profiles dataset. | |
| COSMIC Cell Line Gene CNV Profiles | cell lines with high or low copy number of MRPS31P5 gene relative to other cell lines from the COSMIC Cell Line Gene CNV Profiles dataset. | |
| GEO Signatures of Differentially Expressed Genes for Gene Perturbations | gene perturbations changing expression of MRPS31P5 gene from the GEO Signatures of Differentially Expressed Genes for Gene Perturbations dataset. | |
| GEO Signatures of Differentially Expressed Genes for Kinase Perturbations | kinase perturbations changing expression of MRPS31P5 gene from the GEO Signatures of Differentially Expressed Genes for Kinase Perturbations dataset. | |
| GEO Signatures of Differentially Expressed Genes for Small Molecules | small molecule perturbations changing expression of MRPS31P5 gene from the GEO Signatures of Differentially Expressed Genes for Small Molecules dataset. | |
| GTEx Tissue Gene Expression Profiles | tissues with high or low expression of MRPS31P5 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 MRPS31P5 gene relative to other cell lines from the Klijn et al., Nat. Biotechnol., 2015 Cell Line Gene CNV Profiles dataset. | |
| Roadmap Epigenomics Cell and Tissue DNA Methylation Profiles | cell types and tissues with high or low DNA methylation of MRPS31P5 gene relative to other cell types and tissues from the Roadmap Epigenomics Cell and Tissue DNA Methylation Profiles dataset. | |