Identification of gene expression signatures and related microRNAs for chronic glomerulonephritis based on microarray and bioinformatic analysis
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ABSTRACT: To further reveal the key genes and related microRNAs involved in the CGN and to determine the potential molecular mechanisms of CGN pathogenesis. We have employed microarray expression profiling as a discovery platform to identify genes and related microRNAs. To identify the key ceRNA in CGN, we generated a ceRNA network using data from the National Center for Biotechnology Information Gene Expression Omnibus (NCBI GEO). 2334 differentially regulated genes and a total of 673 related miRNAs were identified. We found that the ceRNA network was composed of 31 lncRNAs, 344 mRNAs, and 57 miRNAs. Expression of five genes (FOS, SYK, CYP1A1, HSD3B6, UGT2B15), five microRNAs (miR-34a-5p, miR-214-3p, miR-155-5p, miR-182, miR-592), three lncRNAs (LOC102547703, NONRATT006779, FQ220365) were quantified in the same RNA samples by real-time PCR, which could be potential diagnostic biomarkers and therapeutic targets for CGN.
ORGANISM(S): Rattus norvegicus
PROVIDER: GSE246257 | GEO | 2023/10/30
REPOSITORIES: GEO
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