Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/235501
Title: Transcriptome alterations of vascular smooth muscle cells in aortic wall of myocardial infarction patients
Authors: Wongsurawat, T 
Woo, CC 
Giannakakis, A
Lin, XY
Cheow, ESH 
Lee, CN 
Richards, M 
Sze, SK 
Nookaew, I
Kuznetsov, VA 
Sorokin, V 
Keywords: 0604 Genetics
Biomedical
Cardiovascular
Genetics
Heart Disease - Coronary Heart Disease
Heart Disease
Prevention
Biotechnology
Cardiovascular
2.1 Biological and endogenous factors
Issue Date: 1-Apr-2018
Publisher: Elsevier BV
Citation: Wongsurawat, T, Woo, CC, Giannakakis, A, Lin, XY, Cheow, ESH, Lee, CN, Richards, M, Sze, SK, Nookaew, I, Kuznetsov, VA, Sorokin, V (2018-04-01). Transcriptome alterations of vascular smooth muscle cells in aortic wall of myocardial infarction patients. Data in Brief 17 : 1112-1135. ScholarBank@NUS Repository.
Rights: Attribution 4.0 International
Abstract: This article contains further data and information from our published manuscript [1]. We aim to identify significant transcriptome alterations of vascular smooth muscle cells (VSMCs) in the aortic wall of myocardial infarction (MI) patients. Microarray gene analysis was applied to evaluate VSMCs of MI and non-MI patients. Prediction Analysis of Microarray (PAM) identified genes that significantly discriminated the two groups of samples. Incorporation of gene ontology (GO) identified a VSMCs-associated classifier that discriminated between the two groups of samples. Mass spectrometry-based iTRAQ analysis revealed proteins significantly differentiating these two groups of samples. Ingenuity Pathway Analysis (IPA) revealed top pathways associated with hypoxia signaling in cardiovascular system. Enrichment analysis of these proteins suggested an activated pathway, and an integrated transcriptome-proteome pathway analysis revealed that it is the most implicated pathway. The intersection of the top candidate molecules from the transcriptome and proteome highlighted overexpression.
Source Title: Data in Brief
URI: https://scholarbank.nus.edu.sg/handle/10635/235501
ISSN: 2352-3409
Rights: Attribution 4.0 International
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