DNA methylation signatures of pulmonary arterial smooth muscle cells in chronic thromboembolic pulmonary hypertension

Physiological Genomics
Ying WangTao Jiang

Abstract

Chronic thromboembolic pulmonary hypertension (CTEPH) is a life-threatening disease, which is often underpinned by vascular remodeling. Pulmonary arterial smooth muscle cells (PASMCs) are the main participants in vascular remodeling. However, their biological role in CTEPH is not entirely clear. In the present study, we analyzed the whole epigenome-wide DNA methylation profile of cultured PASMCs from CTEPH and control cell lines with the Illumina Human Methylation 450K BeadChip. A total of 6,829 significantly differentially methylated probes (DMPs) were detected between these two groups. Among these, 4,246 DMPs were hypermethylated, while 2,583 DMPs were hypomethylated. The functional enrichment analysis of 1,743 DMPs in the promoter regions and corresponding genes indicated that DNA hypermethylation and hypomethylation might be involved in the regulation of genes that have multifarious biological roles, including roles in cancer-related diseases, the regulation of the actin cytoskeleton, cell adhesion, and pattern specification processes. The observed methylations were categorized into the most important functions, including those involved in cell proliferation, immunity, and migration. We speculate that these methylations wer...Continue Reading

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Citations

Dec 28, 2019·British Journal of Pharmacology·Bradley A MaronAnna R Hemnes
Feb 15, 2019·International Journal of Molecular Sciences·Isabelle Opitz, Michaela B Kirschner
Jul 25, 2020·Biochemistry and Cell Biology = Biochimie Et Biologie Cellulaire·Jessica Y HsuRushita A Bagchi
Jun 19, 2021·Biochimica Et Biophysica Acta. Molecular Basis of Disease·Camila Lopez-CrisostoSergio Lavandero
Jul 28, 2021·FASEB Journal : Official Publication of the Federation of American Societies for Experimental Biology·Qiuyun TianYongsheng Gong

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Methods Mentioned

BETA
PCR
GTPase

Software Mentioned

Illumina
- Net
SAS
Signal
SPSS
R
Genome Studio

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