LncRNA Expression Profile and Identification of Novel LncRNA Biomarkers for Diagnosing Coronary Artery Disease
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE113079 | GEO | 2019/08/17
REPOSITORIES: GEO
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Project description:We performed a genome-wide analysis of lncRNA expression to identify novel targets for the further study of liver metastasis in CRC. Samples obtained from CRC patients were analyzed using Arraystar human 8Ã?60K lncRNA/mRNA v3.0 microarrays chips to find differentially expressed lncRNAs and mRNAs; The results were confirmed by quantitative reverse transcription-polymerase chain reaction (qRT-PCR). The differentially expressed lncRNAs and mRNAs were identified through fold-change filtering. Gene ontology (GO) and pathway analyses were performed using standard enrichment computational methods. Twelve primary CRC samples were obtained from six patients with CRC and liver metastasis (Exp G) and six patients with CRC without metastasis (Ctrl G).
2016-05-18 | E-GEOD-75050 | biostudies-arrayexpress
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2015-05-08 | E-GEOD-68316 | biostudies-arrayexpress
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2021-07-28 | GSE164885 | GEO
Project description:Patients with multi-vessel coronary artery disease (MV-CAD) often exhibit poor clinical outcomes compared to single-vessel coronary artery disease (SV-CAD). Increasing evidence suggests that microRNAs (miRNAs) and long noncoding RNAs (lncRNAs) may play a critical role in cardiovascular diseases, however their impact on various vessel lesions, is largely unknown. Here, six patients were selected for the SV-CAD group and 13 for the MV-CAD group by the number of diseased coronary branches. Total RNAs were extracted from peripheral blood of the patients, and the expression profiling was conducted by RNA sequencing (RNASeq). Differentially expressed mRNAs, miRNAs and lncRNAs were identified with p<0.05 and |log2 FC|>1. The GO and KEGG pathway enrichment analysis indicated that differentially expressed mRNAs were mainly enriched in Wnt, Ras and ErbB signaling pathways; miRNAs in mTOR and ErbB signaling pathways; lncRNAs in ErbB signaling pathway, fatty acid metabolism and platelet activation. In addition, we established the ceRNA network and revealed that lncRNA ENST00000501122 may competitively combine with miR-6724-5, regulating the expression of its target mRNAs. Lastly, the most significantly differentially expressed miRNAs, let-7b-5p, let-7e-5p and miR-190a-5p, were selected to evaluate their effects on lipid metabolism and inflammation in cell lines. Overall, our study provides a comprehensive analysis of the transcriptome between MV-CAD and SV-CAD, which will not only help us better understand the mechanisms of different CADs, but also provide a theoretical basis for the prevention and treatment of cardiovascular disease.
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