Literature DB >> 28130229

Genome-wide analysis of DNA methylation profiles in a senescence-accelerated mouse prone 8 brain using whole-genome bisulfite sequencing.

Shuai Zhang1,2,3, Chunxia Qin1,2,3, Guoqiong Cao1,2,3, Limin Guo1,2,3, Chengqiang Feng1,2,3, Wensheng Zhang1,2,3,4.   

Abstract

MOTIVATION: The pathogenesis of AD is complex and contributed by both genetic and environmental factors. Recent work revealed a potential link between DNA methylation and AD. However, a genome-wide study to identify potential DNA methylation sites involved in AD is still at an early stage. WGBS, an up-to-date technology, was used in this study. We investigated mouse brain genome-wide DNA methylation profiles between seven-month-old SAMP8 and SAMR1 models through deep WGBS.
RESULTS: According to the results, the global ML slightly decreased in the SAMP8 mice than in the SAMR1 mice (4.12% versus 4.19%). A total of 1 307 172 280 clean reads were obtained. Subsequently, we identified 63 DMRs from all cases in SAMP8 mice relative to SAMR1 mice. In addition, 26 DMR-related genes were detected. GO analyses revealed that these DMR-related genes were involved in regulating the development of AD from different aspects. Finally, three differentially expressed DMR-related genes ( Dlgap1 , TMEM51 and Eif2ak2 ) that were most likely involved in AD were summarized and listed in detail. Our study provided a systematic exploration of DNA methylation profiles in SAMP8 mouse brain for the first time. These novel methylation sites may be considered strong future candidates to combat this life-threatening disease.
AVAILABILITY AND IMPLEMENTATION: The WGBS sequencing clean data and RNA-seq clean data have been deposited in the NCBI Sequence Read Archive (SRA).The accession number of WGBS is SRP097054. The accession number of RNA-seq is SRP096779. CONTACT: zws@bnu.edu.cn. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
© The Author 2017. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com

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Year:  2017        PMID: 28130229     DOI: 10.1093/bioinformatics/btx040

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  13 in total

1.  Characterization of circRNA-Associated-ceRNA Networks in a Senescence-Accelerated Mouse Prone 8 Brain.

Authors:  Shuai Zhang; Dina Zhu; Hong Li; Hejian Li; Chengqiang Feng; Wensheng Zhang
Journal:  Mol Ther       Date:  2017-06-29       Impact factor: 11.454

2.  RETRACTED: circTulp4 functions in Alzheimer’s disease pathogenesis by regulating its parental gene, Tulp4

Authors:  Nana Ma; Jie Pan; Yi Wen; Qi Wu; Bo Yu; Xi Chen; Jun Wan; Wei Zhang
Journal:  Mol Ther       Date:  2021-02-10       Impact factor: 12.910

3.  Whole-genome bisulfite sequencing of goat skins identifies signatures associated with hair cycling.

Authors:  Chao Li; Yan Li; Guangxian Zhou; Ye Gao; Sen Ma; Yulin Chen; Jiuzhou Song; Xiaolong Wang
Journal:  BMC Genomics       Date:  2018-08-28       Impact factor: 3.969

4.  Differences in DNA Methylation Between Disease-Resistant and Disease-Susceptible Chinese Tongue Sole (Cynoglossus semilaevis) Families.

Authors:  Yunji Xiu; Changwei Shao; Ying Zhu; Yangzhen Li; Tian Gan; Wenteng Xu; Francesc Piferrer; Songlin Chen
Journal:  Front Genet       Date:  2019-09-13       Impact factor: 4.599

5.  Early-life DNA methylation profiles are indicative of age-related transcriptome changes.

Authors:  Niran Hadad; Dustin R Masser; Laura Blanco-Berdugo; David R Stanford; Willard M Freeman
Journal:  Epigenetics Chromatin       Date:  2019-10-08       Impact factor: 4.954

6.  Identifying lncRNA-miRNA-mRNA networks to investigate Alzheimer's disease pathogenesis and therapy strategy.

Authors:  Nana Ma; Changrui Tie; Bo Yu; Wei Zhang; Jun Wan
Journal:  Aging (Albany NY)       Date:  2020-02-07       Impact factor: 5.682

7.  TGF-β signaling controls Foxp3 methylation and T reg cell differentiation by modulating Uhrf1 activity.

Authors:  Xiang Sun; Yu Cui; Haiyun Feng; Haifeng Liu; Xiaolong Liu
Journal:  J Exp Med       Date:  2019-09-12       Impact factor: 14.307

8.  Identification of functional tRNA-derived fragments in senescence-accelerated mouse prone 8 brain.

Authors:  Shuai Zhang; Hejian Li; Ling Zheng; Hong Li; Chengqiang Feng; Wensheng Zhang
Journal:  Aging (Albany NY)       Date:  2019-11-20       Impact factor: 5.682

9.  Integrated analysis of the methylome and transcriptome of chickens with fatty liver hemorrhagic syndrome.

Authors:  Xiaodong Tan; Ranran Liu; Yonghong Zhang; Xicai Wang; Jie Wang; Hailong Wang; Guiping Zhao; Maiqing Zheng; Jie Wen
Journal:  BMC Genomics       Date:  2021-01-06       Impact factor: 3.969

10.  Genome-wide analysis of DNA Methylation profiles on sheep ovaries associated with prolificacy using whole-genome Bisulfite sequencing.

Authors:  Yanli Zhang; Fengzhe Li; Xu Feng; Hua Yang; Aoxiang Zhu; Jing Pang; Le Han; Tingting Zhang; Xiaolei Yao; Feng Wang
Journal:  BMC Genomics       Date:  2017-10-02       Impact factor: 3.969

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