Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/83034
Title: Dynamic DNA methylation landscape defines brown and white cell specificity during adipogenesis
Authors: Lim, Yen Ching
Chia, Sook Yoong
Jin, Shengnan
Han, Weiping
Ding, Chunming
Sun, Lei
Keywords: Brown adipogenesis
White adipogenesis
Issue Date: 2016
Source: Lim, Y. C., Chia, S. Y., Jin, S., Han, W., Ding, C., & Sun, L. (2016). Dynamic DNA methylation landscape defines brown and white cell specificity during adipogenesis. Molecular Metabolism, 5(10), 1033-1041.
Series/Report no.: Molecular Metabolism
Abstract: Objective: DNA methylation may be a stable epigenetic contributor to defining fat cell lineage. Methods: We performed reduced representation bisulfite sequencing (RRBS) and RNA-seq to depict a genome-wide integrative view of the DNA methylome and transcriptome during brown and white adipogenesis. Results: Our analysis demonstrated that DNA methylation is a stable epigenetic signature for brown and white cell lineage before, during, and after differentiation. We identified 31 genes whose promoters were significantly differentially methylated between white and brown adipogenesis at all three time points of differentiation. Among them, five genes belong to the Hox family; their expression levels were anti-correlated with promoter methylation, suggesting a regulatory role of DNA methylation in transcription. Blocking DNA methylation with 5-Aza-cytidine increased the expression of these genes, with the most prominent effect on Hoxc10, a repressor of BAT marker expression. Conclusions: Our data suggest that DNA methylation may play an important role in lineage-specific development in adipocytes.
URI: https://hdl.handle.net/10356/83034
http://hdl.handle.net/10220/42372
ISSN: 2212-8778
DOI: http://dx.doi.org/10.1016/j.molmet.2016.08.006
Rights: © 2016 The Author(s). Published by Elsevier GmbH. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
metadata.item.grantfulltext: open
metadata.item.fulltext: With Fulltext
Appears in Collections:LKCMedicine Journal Articles

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