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pmid:34587952
Identification and validation of pivotal genes related to age-related meniscus degeneration based on gene expression profiling analysis and in vivo and in vitro models detection.
Ming Chen · Siqi Zhou · Huasong Shi · Hanwen Gu · Yinxian Wen · Liaobin Chen
BMC medical genomics · 2021 doi:10.1186/s12920-021-01088-6
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Experiment
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Complete file
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Here, we investigated the molecular mechanism of age-related meniscus degeneration with gene expression profiling analysis, and validate pivotal genes in vivo and in vitro models.\nMETHODS: The GSE45233 dataset, including 6 elderly meniscus samples and 6 younger meniscus samples, was downloaded from the Gene Expression Omnibus (GEO) database. To screen the differential expression of mRNAs and identify the miRNAs targeting hub genes, we completed a series of bioinformatics analyses, including functional and pathway enrichment, protein-protein interaction network, hub genes screening, and construction of a lncRNA-miRNA-mRNA network. Furthermore, crucial genes were examined in human senescent menisci, mouse senescent meniscus tissues and mouse meniscus cells stimulated by IL-1β.\nRESULTS: In total, the most significant 4 hub genes (RRM2, AURKB, CDK1, and TIMP1) and 5 miRNAs (hsa-miR-6810-5p, hsa-miR-4676-5p, hsa-miR-6877-5p, hsa-miR-8085, and hsa-miR-6133) that regulated such 4 hub genes, were finally identified. Moreover, these hub genes were decreased in meniscus cells in vitro and meniscus tissues in vivo, which indicated that hub genes were related to meniscus senescence and could serve as potential biomarkers for age-related meniscus tearing.\nCONCLUSIONS: In short, the integrated analysis of gene expression profile, co-expression network, and models detection identified pivotal genes, which elucidated the possible molecular basis underlying the senescence meniscus and also provided prognosis clues for early-onset age-related meniscus tearing.", "claims": [{"id": "claim-method", "statement": "The expression levels of hub genes that were differentially expressed between young and aging tissues or cells were determined by implementing Student’s t-test with Prism 6.0 (GraphPad Software, USA), and the data of the experimental results were presented as mean ± standard error of mean (SEM).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34587952", "locator": "sections[16] \"Statistical analysis\" paragraph 2", "quote": "The expression levels of hub genes that were differentially expressed between young and aging tissues or cells were determined by implementing Student’s t-test with Prism 6.0 (GraphPad Software, USA), and the data of the experimental results were presented as mean ± standard error of mean (SEM)."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The DNA and RNA sequencing data were downloaded from Genebank database through gene names RRM2 (Gene ID: 6241 and 20135), CDK1(Gene ID: 983 and 12534), AURKB (Gene ID: 9212 and 20877), and TIMP1(Gene ID: 7076 and 21857). 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