Novel insights into systemic sclerosis using a sensitive computational method to analyze whole-genome bisulfite sequencing data.

IF 5.7 2区 医学 Q1 Medicine
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
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引用次数: 0

Abstract

Background: Abnormal DNA methylation is thought to contribute to the onset and progression of systemic sclerosis. Currently, the most comprehensive assay for profiling DNA methylation is whole-genome bisulfite sequencing (WGBS), but its precision depends on read depth and it may be subject to sequencing errors. SOMNiBUS, a method for regional analysis, attempts to overcome some of these limitations. Using SOMNiBUS, we re-analyzed WGBS data previously analyzed using bumphunter, an approach that initially fits single CpG associations, to contrast DNA methylation estimates by both methods.

Methods: Purified CD4+ T lymphocytes of 9 SSc and 4 control females were sequenced using WGBS. We separated the resulting sequencing data into regions with dense CpG data, and differentially methylated regions (DMRs) were inferred with the SOMNiBUS region-level test, adjusted for age. Pathway enrichment analysis was performed with ingenuity pathway analysis (IPA). We compared the results obtained by SOMNiBUS and bumphunter.

Results: Of 8268 CpG regions of ≥ 60 CpGs eligible for analysis with SOMNiBUS, we identified 131 DMRs and 125 differentially methylated genes (DMGs; p-values less than Bonferroni-corrected threshold of 6.05-06 controlling family-wise error rate at 0.05; 1.6% of the regions). In comparison, bumphunter identified 821,929 CpG regions, 599 DMRs (of which none had ≥ 60 CpGs) and 340 DMGs (q-value of 0.05; 0.04% of all regions). The top ranked gene identified by SOMNiBUS was FLT4, a lymphangiogenic orchestrator, and the top ranked gene on chromosome X was CHST7, known to catalyze the sulfation of glycosaminoglycans in the extracellular matrix. The top networks identified by IPA included connective tissue disorders.

Conclusions: SOMNiBUS is a complementary method of analyzing WGBS data that enhances biological insights into SSc and provides novel avenues of investigation into its pathogenesis.

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利用灵敏的计算方法分析全基因组亚硫酸氢盐测序数据,对系统性硬化症有了新的认识。
背景:DNA甲基化异常被认为是系统性硬化症发病和进展的原因之一。目前,最全面的DNA甲基化分析方法是全基因组亚硫酸氢盐测序(WGBS),但其精确度取决于读取深度,而且可能会出现测序错误。SOMNiBUS 是一种区域分析方法,它试图克服其中的一些局限性。使用 SOMNiBUS,我们重新分析了之前使用 bumphunter(一种初步拟合单个 CpG 关联的方法)分析的 WGBS 数据,以对比两种方法的 DNA 甲基化估计值:使用 WGBS 对 9 名 SSc 女性和 4 名对照女性的纯化 CD4+ T 淋巴细胞进行测序。我们将测序得到的数据分成具有密集 CpG 数据的区域,并通过 SOMNiBUS 区域级测试推断出差异甲基化区域(DMR),再根据年龄进行调整。通路富集分析是通过巧妙通路分析(IPA)进行的。我们比较了 SOMNiBUS 和 bumphunter 的结果:在8268个符合SOMNiBUS分析条件的≥60个CpGs的CpG区域中,我们发现了131个DMRs和125个差异甲基化基因(DMGs;P值小于Bonferroni校正阈值6.05-06,族内误差率控制在0.05;占区域的1.6%)。相比之下,bumphunter 发现了 821 929 个 CpG 区域、599 个 DMR(其中没有一个区域的 CpG ≥ 60)和 340 个 DMG(q 值为 0.05;占所有区域的 0.04%)。SOMNiBUS确定的排名第一的基因是FLT4,它是淋巴管生成的协调者;X染色体上排名第一的基因是CHST7,它催化细胞外基质中糖胺聚糖的硫酸化。IPA确定的顶级网络包括结缔组织疾病:SOMNiBUS是分析WGBS数据的一种补充方法,它提高了对SSc的生物学认识,并为研究其发病机制提供了新的途径。
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来源期刊
Clinical Epigenetics
Clinical Epigenetics Biochemistry, Genetics and Molecular Biology-Developmental Biology
CiteScore
8.90
自引率
5.30%
发文量
150
审稿时长
12 weeks
期刊介绍: Clinical Epigenetics, the official journal of the Clinical Epigenetics Society, is an open access, peer-reviewed journal that encompasses all aspects of epigenetic principles and mechanisms in relation to human disease, diagnosis and therapy. Clinical trials and research in disease model organisms are particularly welcome.
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