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- Title
Using Time-course Data to Identify Stress- and LDL-induced MicroRNA Target Genes for Vascular Smooth Muscle Cells.
- Authors
Chien-Hung Huang; Jin-Shuei Ciou; Shun-Tsung Chen; Ke-Rung Tzeng; Tsai, Jeffrey J. P.; Kurubanjerdjit, Nilubon; Ka-Lok Ng
- Abstract
A majority of the wall of blood vessels is composed of the smooth muscle cell. It is known that abnormal proliferation of the vascular smooth muscle cell (VSMC) is a major cause of restenosis and atherosclerosis. Cardiovascular diseases (CVDs) are the number one cause of death globally. MicroRNAs (miRNAs) play an important role in the regulation of VSMC phenotype that may play crucial roles in causing CVDs. In this study, we employ in silico analysis to examine how the VSMC response when subjected separately to mechanical stress and oxidized form of low-density lipoprotein (ox-LDL) cholesterol using time-course microarray data. We found a group of common differentially expressed genes (DEGs) that are involved in these two conditions. Gene set enrichment analysis suggested that the enriched biological processes are cell-cycle-related processes. This group of common DEGs are putative candidates that might have a synergistic effect on VSMC proliferation. MiRNA-regulated DEGs are identified. A publicly available web-based platform was constructed to record the results of the identified DEGs involved in the two conditions and their upstream miRNA regulators can be accessed too.
- Subjects
CARDIOVASCULAR diseases; SMOOTH muscle; CELL proliferation; MICRORNA; DATA analysis
- Publication
Engineering Letters, 2015, Vol 23, Issue 4, p307
- ISSN
1816-093X
- Publication type
Article