Literature DB >> 27515490

DNA methylation dynamics: identification and functional annotation.

Hongbo Liu, Song Li, Xinyu Wang, Jiang Zhu, Yanjun Wei, Yihan Wang, Yanhua Wen, Libo Wang, Yan Huang, Bin Zhang, Shipeng Shang, Yan Zhang.   

Abstract

DNA methylation is an epigenetic modification of cytosines that undergoes dynamic changes in a temporal, spatial and cell-type-specific manner. Recent advances in technology have permitted the profiling of high-throughput methylomes in large numbers of biological samples. Various computational tools have been developed to identify and analyze DNA methylation dynamics in a variety of critical biological processes. As DNA methylation is becoming increasingly viewed as a dynamic process, the mechanisms governing DNA methylation dynamics and its roles in the transcriptional regulatory network are of great interest. It has been reported that DNA methylation dynamics plays essential roles in multiple biological processes, including development and cancer. As a functional event, the dynamics of DNA methylation have become increasingly relevant to many researchers. Here, we review state-of-the-art advances at three levels (genome-wide identification, regulatory mechanism investigation and the functional annotation) in the field of DNA methylation dynamics, as well as the future perspective of DNA methylation dynamics.
© The Author 2016. Published by Oxford University Press. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  DNA methylation; DNA methylation dynamics; demethylation; functional annotation; gene regulation

Mesh:

Year:  2016        PMID: 27515490     DOI: 10.1093/bfgp/elw029

Source DB:  PubMed          Journal:  Brief Funct Genomics        ISSN: 2041-2649            Impact factor:   4.241


  6 in total

Review 1.  Developing novel in vitro methods for the risk assessment of developmental and placental toxicants in the environment.

Authors:  Rebecca C Fry; Jacqueline Bangma; John Szilagyi; Julia E Rager
Journal:  Toxicol Appl Pharmacol       Date:  2019-06-22       Impact factor: 4.219

2.  Integration of DNA methylation and gene transcription across nineteen cell types reveals cell type-specific and genomic region-dependent regulatory patterns.

Authors:  Binhua Tang; Yufan Zhou; Chiou-Miin Wang; Tim H-M Huang; Victor X Jin
Journal:  Sci Rep       Date:  2017-06-15       Impact factor: 4.379

3.  Whole‑genome scale identification of methylation markers specific for cerebral palsy in monozygotic discordant twins.

Authors:  Zhe Jiao; Zhimei Jiang; Jingtao Wang; Hui Xu; Qiang Zhang; Shuang Liu; Ning Du; Yuanyuan Zhang; Hongbin Qiu
Journal:  Mol Med Rep       Date:  2017-10-17       Impact factor: 2.952

4.  Interaction between a diabetes-related methylation site (TXNIP cg19693031) and variant (GLUT1 rs841853) on fasting blood glucose levels among non-diabetics.

Authors:  Hao-Hung Tsai; Chao-Yu Shen; Chien-Chang Ho; Shu-Yi Hsu; Disline Manli Tantoh; Oswald Ndi Nfor; Shin-Lin Chiu; Ying-Hsiang Chou; Yung-Po Liaw
Journal:  J Transl Med       Date:  2022-02-14       Impact factor: 5.531

5.  Gene-methylation interactions: discovering region-wise DNA methylation levels that modify SNP-associated disease risk.

Authors:  Julia Romanowska; Øystein A Haaland; Astanand Jugessur; Miriam Gjerdevik; Zongli Xu; Jack Taylor; Allen J Wilcox; Inge Jonassen; Rolv T Lie; Håkon K Gjessing
Journal:  Clin Epigenetics       Date:  2020-07-16       Impact factor: 6.551

6.  Genome-wide analysis of aberrant methylation of enhancer DNA in human osteoarthritis.

Authors:  Xiaozong Lin; Li Li; Xiaojuan Liu; Jun Tian; Weizhuo Zheng; Jin Li; Limei Wang
Journal:  BMC Med Genomics       Date:  2020-01-03       Impact factor: 3.063

  6 in total

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