Whole-genome bisulfite sequencing in systemic sclerosis provides novel targets to understand disease pathogenesis

被引:12
|
作者
Lu, Tianyuan [1 ,2 ]
Klein, Kathleen Oros [1 ]
Colmegna, Ines [3 ]
Lora, Maximilien [3 ]
Greenwood, Celia M. T. [1 ,4 ,5 ,6 ]
Hudson, Marie [1 ,3 ]
机构
[1] Jewish Gen Hosp, Lady Davis Inst Med Res, 3755 Cote St Catherine Rd, Montreal, PQ H3T 1E2, Canada
[2] McGill Univ, Quantitat Life Sci Program, Montreal, PQ, Canada
[3] McGill Univ, Dept Med, Div Rheumatol, Montreal, PQ, Canada
[4] McGill Univ, Dept Epidemiol Biostat & Occupat Hlth, Montreal, PQ, Canada
[5] McGill Univ, Gerald Bronfman Dept Oncol, Montreal, PQ, Canada
[6] McGill Univ, Dept Human Genet, Montreal, PQ, Canada
基金
加拿大健康研究院;
关键词
Systemic sclerosis; Whole-genome bisulfite sequencing; Differential methylation; Pathway analysis; SNP-CpG association; EPIGENOME-WIDE ASSOCIATION; DNA METHYLATION ANALYSIS; RECEPTOR; DDR2; EXPRESSION; SCLERODERMA; SKIN; EPIDEMIOLOGY; DEFICIENCY; ACTIVATION; FIBROSIS;
D O I
10.1186/s12920-019-0602-8
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Background Systemic sclerosis (SSc) is a rare autoimmune connective tissue disease whose pathogenesis remains incompletely understood. Increasing evidence suggests that both genetic susceptibilities and changes in DNA methylation influence pivotal biological pathways and thereby contribute to the disease. The role of DNA methylation in SSc has not been fully elucidated, because existing investigations of DNA methylation predominantly focused on nucleotide CpGs within restricted genic regions, and were performed on samples containing mixed cell types. Methods We performed whole-genome bisulfite sequencing on purified CD4+ T lymphocytes from nine SSc patients and nine controls in a pilot study, and then profiled genome-wide cytosine methylation as well as genetic variations. We adopted robust statistical methods to identify differentially methylated genomic regions (DMRs). We then examined pathway enrichment associated with genes located in these DMRs. We also tested whether changes in CpG methylation were associated with adjacent genetic variation. Results We profiled DNA methylation at more than three million CpG dinucleotides genome-wide. We identified 599 DMRs associated with 340 genes, among which 54 genes exhibited further associations with adjacent genetic variation. We also found these genes were associated with pathways and functions that are known to be abnormal in SSc, including Wnt/beta-catenin signaling pathway, skin lesion formation and progression, and angiogenesis. Conclusion The CD4+ T cell DNA cytosine methylation landscape in SSc involves crucial genes in disease pathogenesis. Some of the methylation patterns are also associated with genetic variation. These findings provide essential foundations for future studies of epigenetic regulation and genome-epigenome interaction in SSc.
引用
收藏
页数:12
相关论文
共 50 条
  • [1] Whole-genome bisulfite sequencing in systemic sclerosis provides novel targets to understand disease pathogenesis
    Tianyuan Lu
    Kathleen Oros Klein
    Inés Colmegna
    Maximilien Lora
    Celia M. T. Greenwood
    Marie Hudson
    BMC Medical Genomics, 12
  • [2] Whole-genome Bisulfite Sequencing in Systemic Sclerosis Provides Novel Targets to Understand Disease Pathogenesis
    Lu, Tianyuan
    Klein, Kathleen Oros
    Colmegna, Ines
    Lora, Maximilien
    Greenwood, Celia M. T.
    Hudson, Marie
    GENETIC EPIDEMIOLOGY, 2019, 43 (07) : 894 - 895
  • [3] Novel Insights into Systemic Sclerosis Using a Sensitive Computational Method to Analyze Whole-genome Bisulfite Sequencing Data
    Yu, Jeffrey
    Lu, Tianyuan
    Zhao, Kaiqiong
    Klein, Kathleen Oros
    Lora, Maximilien
    Colmegna, Ines
    Greenwood, Celia M. T.
    Hudson, Marie
    ARTHRITIS & RHEUMATOLOGY, 2021, 73 : 1105 - 1107
  • [4] Novel insights into systemic sclerosis using a sensitive computational method to analyze whole-genome bisulfite sequencing data
    Yu, Jeffrey C. Y.
    Zeng, Yixiao
    Zhao, Kaiqiong
    Lu, Tianyuan
    Oros Klein, Kathleen
    Colmegna, Ines
    Lora, Maximilien
    Bhatnagar, Sahir R.
    Leask, Andrew
    Greenwood, Celia M. T.
    Hudson, Marie
    CLINICAL EPIGENETICS, 2023, 15 (01)
  • [5] Novel insights into systemic sclerosis using a sensitive computational method to analyze whole-genome bisulfite sequencing data
    Jeffrey C. Y. Yu
    Yixiao Zeng
    Kaiqiong Zhao
    Tianyuan Lu
    Kathleen Oros Klein
    Inés Colmegna
    Maximilien Lora
    Sahir R. Bhatnagar
    Andrew Leask
    Celia M. T. Greenwood
    Marie Hudson
    Clinical Epigenetics, 15
  • [6] Tagmentation-based whole-genome bisulfite sequencing
    Wang, Qi
    Gu, Lei
    Adey, Andrew
    Radlwimmer, Bernhard
    Wang, Wei
    Hovestadt, Volker
    Baehr, Marion
    Wolf, Stephan
    Shendure, Jay
    Eils, Roland
    Plass, Christoph
    Weichenhan, Dieter
    NATURE PROTOCOLS, 2013, 8 (10) : 2022 - 2032
  • [7] How to Design a Whole-Genome Bisulfite Sequencing Experiment
    Grehl, Claudius
    Kuhlmann, Markus
    Becker, Claude
    Glaser, Bruno
    Grosse, Ivo
    EPIGENOMES, 2018, 2 (04):
  • [8] Whole-genome bisulfite sequencing with improved accuracy and cost
    Suzuki, Masako
    Liao, Will
    Wos, Frank
    Johnston, Andrew D.
    DeGrazia, Justin
    Ishii, Jennifer
    Bloom, Toby
    Zody, Michael C.
    Germer, Soren
    Greally, John M.
    GENOME RESEARCH, 2018, 28 (09) : 1364 - 1371
  • [9] Saturation analysis for whole-genome bisulfite sequencing data
    Emanuele Libertini
    Simon C Heath
    Rifat A Hamoudi
    Marta Gut
    Michael J Ziller
    Javier Herrero
    Agata Czyz
    Victor Ruotti
    Hendrik G Stunnenberg
    Mattia Frontini
    Willem H Ouwehand
    Alexander Meissner
    Ivo G Gut
    Stephan Beck
    Nature Biotechnology, 2016, 34 : 691 - 693
  • [10] Tagmentation-based whole-genome bisulfite sequencing
    Qi Wang
    Lei Gu
    Andrew Adey
    Bernhard Radlwimmer
    Wei Wang
    Volker Hovestadt
    Marion Bähr
    Stephan Wolf
    Jay Shendure
    Roland Eils
    Christoph Plass
    Dieter Weichenhan
    Nature Protocols, 2013, 8 : 2022 - 2032