scholarly journals Genome-wide DNA methylation profiling of CD8+ T cells shows a distinct epigenetic signature to CD4+ T cells in multiple sclerosis patients

2015 ◽  
Vol 7 (1) ◽  
Author(s):  
Vicki E. Maltby ◽  
Moira C. Graves ◽  
Rodney A. Lea ◽  
Miles C. Benton ◽  
Katherine A. Sanders ◽  
...  
2013 ◽  
Vol 20 (8) ◽  
pp. 1033-1041 ◽  
Author(s):  
MC Graves ◽  
M Benton ◽  
RA Lea ◽  
M Boyle ◽  
L Tajouri ◽  
...  

Background: Multiple sclerosis (MS) is thought to be caused by T-cell mediated autoimmune dysfunction. Risk of developing MS is influenced by environmental and genetic factors. Modifiable differences in DNA methylation are recognized as epigenetic contributors to MS risk and may provide a valuable link between environmental exposure and inherited genetic systems. Objectives and methods: To identify methylation changes associated with MS, we performed a genome-wide DNA methylation analysis of CD4+ T cells from 30 patients with relapsing–remitting MS and 28 healthy controls using Illumina 450K methylation arrays. Results: A striking differential methylation signal was observed at chr. 6p21, with a peak signal at HLA-DRB1. After prioritisation, we identified a panel of 74 CpGs associated with MS in this cohort. Most notably we found evidence of a major effect CpG island in DRB1 in MS cases ( pFDR < 3 × 10−3). In addition, we found 55 non-HLA CpGs that exhibited differential methylation, many of which localise to genes previously linked to MS. Conclusions: Our findings provide the first evidence for association of DNA methylation at HLA-DRB1 in relation to MS risk. Further studies are now warranted to validate and understand how these findings are involved in MS pathology.


PLoS ONE ◽  
2018 ◽  
Vol 13 (10) ◽  
pp. e0206511 ◽  
Author(s):  
Brooke Rhead ◽  
Ina S. Brorson ◽  
Tone Berge ◽  
Cameron Adams ◽  
Hong Quach ◽  
...  

2017 ◽  
Vol 03 (01) ◽  
Author(s):  
Jianying Shen ◽  
Qingsheng Yu ◽  
Xiaoqiang Li ◽  
Rujing Ren ◽  
Yuqing Tan

2016 ◽  
Vol 8 (1) ◽  
Author(s):  
Nicklas H. Staunstrup ◽  
Anna Starnawska ◽  
Mette Nyegaard ◽  
Lene Christiansen ◽  
Anders L. Nielsen ◽  
...  

2017 ◽  
Vol 653 ◽  
pp. 159-162 ◽  
Author(s):  
Sabrina Giacoppo ◽  
Oxana Bereshchenko ◽  
Stefano Bruscoli ◽  
Carlo Riccardi ◽  
Placido Bramanti ◽  
...  

2021 ◽  
Vol 23 (Supplement_6) ◽  
pp. vi5-vi5
Author(s):  
Wies Vallentgoed ◽  
Anneke Niers ◽  
Karin van Garderen ◽  
Martin van den Bent ◽  
Kaspar Draaisma ◽  
...  

Abstract The GLASS-NL consortium, was initiated to gain insight into the molecular mechanisms underlying glioma evolution and to identify markers of progression in IDH-mutant astrocytomas. Here, we present the first results of genome-wide DNA-methylation profiling of GLASS-NL samples. 110 adult patients were identified with an IDH-mutant astrocytoma at first diagnosis. All patients underwent a surgical resection of the tumor at least twice, separated by at least 6 months (median 40.9 months (IQR: 24.0, 64.7). In 37% and 18% of the cases, patients were treated with radiotherapy or chemotherapy respectively, before surgical resection of the recurrent tumor. DNA-methylation profiling was done on 235 samples from 103 patients (102 1st, 101 2nd, 29 3rd, and 3 4th resection). Copy number variations were also extracted from these data. Methylation classes were determined according to Capper et al. Overall survival (OS) was measured from date of first surgery. Of all primary tumors, the methylation-classifier assigned 85 (87%) to the low grade subclass and 10 (10%) to the high grade subclass. The relative proportion of high grade tumors increased ~three-fold at tumor recurrence (32/101, 32%) and even further in the second recurrence (15/29, 52%). Methylation classes were prognostic, both in primary and recurrent tumors. The overall DNA-methylation levels of recurrent samples was lower than that of primary samples. This difference is explained by the increased number of high grade samples at recurrence, since near identical DNA-methylation levels were observed in samples that remained low grade. In an unsupervised analysis, DNA-methylation data derived from primary and first recurrence samples of individual patients mostly (79%) cluster together. Recurrent samples that do not cluster with their primary tumor, form a separate group with relatively low genome-wide DNA-methylation. Our data demonstrate that methylation profiling identifies a shift towards a higher grade at tumor progression coinciding with reduced genome-wide DNA-methylation levels.


2018 ◽  
Vol 10 (1) ◽  
Author(s):  
Youdinghuan Chen ◽  
David A. Armstrong ◽  
Lucas A. Salas ◽  
Haley F. Hazlett ◽  
Amanda B. Nymon ◽  
...  

2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Lili Liu ◽  
Yanjie Chen ◽  
Taotao Liu ◽  
Jie Yu ◽  
Lili Ma ◽  
...  

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