کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
2816379 1159930 2014 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Bioinformatics analysis of time series gene expression in left ventricle (LV) with acute myocardial infarction (AMI)
موضوعات مرتبط
علوم زیستی و بیوفناوری بیوشیمی، ژنتیک و زیست شناسی مولکولی ژنتیک
پیش نمایش صفحه اول مقاله
Bioinformatics analysis of time series gene expression in left ventricle (LV) with acute myocardial infarction (AMI)
چکیده انگلیسی


• We identified the time series gene expression in acute myocardial infarction.
• The expression patterns of the DEGs in LV were analyzed.
• The transcriptional regulatory network of the DEGs in LV was constructed.
• The transcription factors among the DEGs in LV were mined.

This study is to investigate the key genes and their possible function in acute myocardial infarction (AMI). The data of GSE4648 downloaded from the Gene Expression Omnibus (GEO) database include 6 time points (15 min, 60 min, 4 h, 12 h, 24 h and 48 h) of 12 left ventricle (LV) samples, 12 surviving LV free wall (FW) samples, 12 inter-ventricular septum (IVS) samples after AMI operation and corresponding sham-operated samples. The data of each sample were analyzed with Affy and Bioconductor packages, and differentially expressed genes (DEGs) were screened out using BETR package with false discovery rate (FDR) < 0.01. Then, functional enrichment analysis for DEGs was conducted with Database for Annotation, Visualization and Integrated Discovery (DAVID). Totally 194 DEGs were identified in LV, and only the gene tubulin beta 2a (Tubb2a) and natriuretic peptide B (Nppb) were respectively up-regulated in surviving FW tissue and IVS tissue. The biological process response to wounding and inflammatory response were significantly enriched, as well as leukocyte transendothelial migration pathway. Besides, the expression pattern analysis showed the DEGs mostly up-regulated at 4 h after AMI, and these genes were mainly associated with immunity. Additionally, in transcriptional regulatory network, early growth response 1 (Egr1), activating transcription factor 3 (Atf3), Atf4, Myc and Fos were considered as the key transcription factors related to immune response. The key transcription factors and potential target genes might provide new information for the development of AMI, and leukocyte transendothelial migration pathway might play a vital role in AMI.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Gene - Volume 543, Issue 2, 15 June 2014, Pages 259–267
نویسندگان
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