Literature DB >> 19364493

CpG island methylation pattern in different human tissues and its correlation with gene expression.

Shicai Fan1, Xuegong Zhang.   

Abstract

The study on DNA methylation pattern in different human tissues attracts increasing interest nowadays, but a systematic analysis of CpG island methylation pattern between both somatic tissues and gametocyte is still lacking. In this work, we analyzed the CpG island methylation data of sperm and other 11 somatic tissues from Human Epigenome Project, and found that the CpG island methylation profiles are highly correlated between somatic tissues, while the methylation profile in sperm is quite distinct. Furthermore, we observed that in the six tissues investigated, there is no obvious correlation between the methylation level of promoter CpG islands and corresponding gene expression across different tissues.

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Year:  2009        PMID: 19364493     DOI: 10.1016/j.bbrc.2009.04.023

Source DB:  PubMed          Journal:  Biochem Biophys Res Commun        ISSN: 0006-291X            Impact factor:   3.575


  60 in total

1.  High-fat diet leads to a decreased methylation of the Mc4r gene in the obese BFMI and the lean B6 mouse lines.

Authors:  S Widiker; S Karst; A Wagener; G A Brockmann
Journal:  J Appl Genet       Date:  2010       Impact factor: 3.240

2.  Computationally expanding infinium HumanMethylation450 BeadChip array data to reveal distinct DNA methylation patterns of rheumatoid arthritis.

Authors:  Shicai Fan; Chengzhe Li; Rizi Ai; Mengchi Wang; Gary S Firestein; Wei Wang
Journal:  Bioinformatics       Date:  2016-02-15       Impact factor: 6.937

Review 3.  Epigenetics of progression of chronic kidney disease: fact or fantasy?

Authors:  Maria R Wing; Ali Ramezani; Harindarpal S Gill; Joseph M Devaney; Dominic S Raj
Journal:  Semin Nephrol       Date:  2013-07       Impact factor: 5.299

4.  Epigenome-wide association study (EWAS) of BMI, BMI change and waist circumference in African American adults identifies multiple replicated loci.

Authors:  Ellen W Demerath; Weihua Guan; Megan L Grove; Stella Aslibekyan; Michael Mendelson; Yi-Hui Zhou; Åsa K Hedman; Johanna K Sandling; Li-An Li; Marguerite R Irvin; Degui Zhi; Panos Deloukas; Liming Liang; Chunyu Liu; Jan Bressler; Tim D Spector; Kari North; Yun Li; Devin M Absher; Daniel Levy; Donna K Arnett; Myriam Fornage; James S Pankow; Eric Boerwinkle
Journal:  Hum Mol Genet       Date:  2015-05-01       Impact factor: 6.150

Review 5.  Epigenomics, gestational programming and risk of metabolic syndrome.

Authors:  M Desai; J K Jellyman; M G Ross
Journal:  Int J Obes (Lond)       Date:  2015-02-02       Impact factor: 5.095

6.  Revealing epigenetic patterns in gene regulation through integrative analysis of epigenetic interaction network.

Authors:  Jianzhong Su; Yunfeng Qi; Shengqiang Liu; Xueting Wu; Jie Lv; Hongbo Liu; Ruijie Zhang; Yan Zhang
Journal:  Mol Biol Rep       Date:  2011-05-28       Impact factor: 2.316

7.  Genetic control of individual differences in gene-specific methylation in human brain.

Authors:  Dandan Zhang; Lijun Cheng; Judith A Badner; Chao Chen; Qi Chen; Wei Luo; David W Craig; Margot Redman; Elliot S Gershon; Chunyu Liu
Journal:  Am J Hum Genet       Date:  2010-03-12       Impact factor: 11.025

8.  Multiple correlation analyses revealed complex relationship between DNA methylation and mRNA expression in human peripheral blood mononuclear cells.

Authors:  Fang-Fei Xie; Fei-Yan Deng; Long-Fei Wu; Xing-Bo Mo; Hong Zhu; Jian Wu; Yu-Fan Guo; Ke-Qin Zeng; Ming-Jun Wang; Xiao-Wei Zhu; Wei Xia; Lan Wang; Pei He; Peng-Fei Bing; Xin Lu; Yong-Hong Zhang; Shu-Feng Lei
Journal:  Funct Integr Genomics       Date:  2017-07-22       Impact factor: 3.410

9.  Epigenome-wide cross-tissue predictive modeling and comparison of cord blood and placental methylation in a birth cohort.

Authors:  Margherita M De Carli; Andrea A Baccarelli; Letizia Trevisi; Ivan Pantic; Kasey Jm Brennan; Michele R Hacker; Holly Loudon; Kelly J Brunst; Robert O Wright; Rosalind J Wright; Allan C Just
Journal:  Epigenomics       Date:  2017-02-17       Impact factor: 4.778

10.  Identifying differentially methylated genes using mixed effect and generalized least square models.

Authors:  Shuying Sun; Pearlly S Yan; Tim H M Huang; Shili Lin
Journal:  BMC Bioinformatics       Date:  2009-12-09       Impact factor: 3.169

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