Literature DB >> 24005183

Epigenome-wide profiling identifies significant differences in DNA methylation between matched-pairs of T- and B-lymphocytes from healthy individuals.

John R Glossop1, Nicola B Nixon2, Richard D Emes3, Kim E Haworth4, Jon C Packham2, Peter T Dawes2, Anthony A Fryer4, Derek L Mattey1, William E Farrell4.   

Abstract

Multiple reports now describe changes to the DNA methylome in rheumatoid arthritis and in many cases have analyzed methylation in mixed cell populations from whole blood. However, these approaches may preclude the identification of cell type-specific methylation, which may subsequently bias identification of disease-specific changes. To address this possibility, we conducted genome-wide DNA methylation profiling using HumanMethylation450 BeadChips to identify differences within matched pairs of T-lymphocytes and B-lymphocytes isolated from the peripheral blood of 10 healthy females. Array data were processed and differential methylation identified using NIMBL software. Validation of array data was performed by bisulfite pyrosequencing. Genome-wide DNA methylation was initially determined by analysis of LINE-1 sequences and was higher in B-lymphocytes than matched T-lymphocytes (69.8% vs. 65.2%, P ≤ 0.01). Pairwise analysis identified 679 CpGs, representing 250 genes, which were differentially methylated between T-lymphocytes and B-lymphocytes. The majority of sites (76.6%) were hypermethylated in B-lymphocytes. Pyrosequencing of selected candidates confirmed the array data in all cases. Hierarchical clustering revealed perfect segregation of samples into two distinct clusters based on cell type. Differentially methylated genes showed enrichment for biological functions/pathways associated with leukocytes and T-lymphocytes. Our work for the first time shows that T-lymphocytes and B-lymphocytes possess intrinsic differences in DNA methylation within a restricted set of functionally related genes. These data provide a foundation for investigating DNA methylation in diseases in which these cell types play important and distinct roles.

Entities:  

Keywords:  B-lymphocyte; CpG; DNA methylation; Illumina 450K array; T-lymphocyte; genome-wide; rheumatoid arthritis

Mesh:

Year:  2013        PMID: 24005183     DOI: 10.4161/epi.26265

Source DB:  PubMed          Journal:  Epigenetics        ISSN: 1559-2294            Impact factor:   4.528


  15 in total

1.  DNA Methylation Regulates the Differential Expression of CX3CR1 on Human IL-7Rαlow and IL-7Rαhigh Effector Memory CD8+ T Cells with Distinct Migratory Capacities to the Fractalkine.

Authors:  Min Sun Shin; Sungyong You; Youna Kang; Naeun Lee; Seung-Ah Yoo; Kieyoung Park; Ki Soo Kang; Sang Hyun Kim; Subhasis Mohanty; Albert C Shaw; Ruth R Montgomery; Daehee Hwang; Insoo Kang
Journal:  J Immunol       Date:  2015-08-14       Impact factor: 5.422

2.  Quantitative genome-wide methylation analysis of high-grade non-muscle invasive bladder cancer.

Authors:  Mark O Kitchen; Richard T Bryan; Richard D Emes; John R Glossop; Christopher Luscombe; K K Cheng; Maurice P Zeegers; Nicholas D James; Adam J Devall; Charles A Mein; Lyndon Gommersall; Anthony A Fryer; William E Farrell
Journal:  Epigenetics       Date:  2016-03-01       Impact factor: 4.528

3.  Genome-wide DNA methylation profiling in rheumatoid arthritis identifies disease-associated methylation changes that are distinct to individual T- and B-lymphocyte populations.

Authors:  John R Glossop; Richard D Emes; Nicola B Nixon; Kim E Haworth; Jon C Packham; Peter T Dawes; Anthony A Fryer; Derek L Mattey; William E Farrell
Journal:  Epigenetics       Date:  2014-07-07       Impact factor: 4.528

4.  Maternal genome-wide DNA methylation profiling in gestational diabetes shows distinctive disease-associated changes relative to matched healthy pregnancies.

Authors:  Pensee Wu; William E Farrell; Kim E Haworth; Richard D Emes; Mark O Kitchen; John R Glossop; Fahmy W Hanna; Anthony A Fryer
Journal:  Epigenetics       Date:  2018-01-25       Impact factor: 4.528

5.  Quantitative methylation level of the EPHX1 promoter in peripheral blood DNA is associated with polycystic ovary syndrome.

Authors:  Qing Sang; Xin Li; Haojue Wang; Huan Wang; Shaozhen Zhang; Ruizhi Feng; Yao Xu; Qiaoli Li; Xinzhi Zhao; Qinghe Xing; Li Jin; Lin He; Lei Wang
Journal:  PLoS One       Date:  2014-02-05       Impact factor: 3.240

6.  Integrated analysis of epigenomic and genomic changes by DNA methylation dependent mechanisms provides potential novel biomarkers for prostate cancer.

Authors:  Nicole M A White-Al Habeeb; Linh T Ho; Ekaterina Olkhov-Mitsel; Ken Kron; Vaijayanti Pethe; Melanie Lehman; Lidija Jovanovic; Neil Fleshner; Theodorus van der Kwast; Colleen C Nelson; Bharati Bapat
Journal:  Oncotarget       Date:  2014-09-15

7.  An empirically driven data reduction method on the human 450K methylation array to remove tissue specific non-variable CpGs.

Authors:  Rachel D Edgar; Meaghan J Jones; Wendy P Robinson; Michael S Kobor
Journal:  Clin Epigenetics       Date:  2017-02-02       Impact factor: 6.551

8.  Age at onset of different pubertal signs in boys and girls and differential DNA methylation at age 10 and 18 years: an epigenome-wide follow-up study.

Authors:  Su Chen; Hala Refaey; Nandini Mukherjee; Farnaz Solatikia; Yu Jiang; S Hasan Arshad; Susan Ewart; John W Holloway; Hongmei Zhang; Wilfried Karmaus
Journal:  Hum Reprod Open       Date:  2020-03-12

9.  HumanMethylation450K Array-Identified Biomarkers Predict Tumour Recurrence/Progression at Initial Diagnosis of High-risk Non-muscle Invasive Bladder Cancer.

Authors:  Mark O Kitchen; Richard T Bryan; Richard D Emes; Christopher J Luscombe; K K Cheng; Maurice P Zeegers; Nicholas D James; Lyndon M Gommersall; Anthony A Fryer
Journal:  Biomark Cancer       Date:  2018-01-08

10.  Changes in DNA Methylation from Age 18 to Pregnancy in Type 1, 2, and 17 T Helper and Regulatory T-Cells Pathway Genes.

Authors:  Sabrina Iqbal; Gabrielle A Lockett; John W Holloway; S Hasan Arshad; Hongmei Zhang; Akhilesh Kaushal; Sabarinath R Tetali; Nandini Mukherjee; Wilfried J J Karmaus
Journal:  Int J Mol Sci       Date:  2018-02-06       Impact factor: 5.923

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