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慢性淋巴细胞白血病的全基因组DNA甲基化分析

Genome-wide DNA methylation profiling in chronic lymphocytic leukaemia.

作者信息

Zhang Qiuyi, Gao Ying, Lin Shuchun, Goldin Lynn R, Wang Yonghong, Stevenson Holly, Edelman Daniel C, Killian Keith, Marti Gerald, Meltzer Paul S, Xiang Song, Caporaso Neil E

机构信息

CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China.

Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, United States.

出版信息

Front Genet. 2023 Jan 11;13:1056043. doi: 10.3389/fgene.2022.1056043. eCollection 2022.

Abstract

DNA methylation aberrations are widespread among the malignant B lymphocytes of patients with chronic lymphocytic leukaemia (CLL), suggesting that DNA methylation might contribute to the pathogenesis of CLL. We aimed to explore the differentially methylated positions (DMPs) associated with CLL and screen the differentially methylated and expressed genes (DMEGs) by combining public databases. We aimed to observe the direction of each DMEG in CLL based on the DMPs in the promoter and the body region respectively to narrow down DMEGs. We also aimed to explore the methylation heterogeneity of CLL subgroups and the effect of B cells maturation on CLL. In this population-based case control study, we reported a genome-wide DNA methylation association study using the Infinium HumanMethylation450 BeadChip, profiling the DNA methylation of CD19 B Cells from 48 CLL cases and 28 healthy controls. By integrating methylation data and expression data from public databases, gene sets were jointly screened, and then the relationship between methylation sites in promoter and body region and expression of each gene was explored. In addition, support vector machine (SVM) classification algorithm was used to identify subgroups of CLL cases based on methylation pattern, and the effect of B-cell differentiation related methylation sites on CLL-related sites was observed. We identified 34,797 DMPs related to CLL across the genome, most of which were hypomethylated; the majority were located in gene body regions. By combining these DMPs with published DNA methylation and RNA sequencing data, we detected 26,244 replicated DMPs associated with 1,130 genes whose expression were significantly different in CLL cases. Among these DMEGs, nine low expressed DMEGs were selected with hypermethylated in promoter and hypomethylated in body region, and 83 high expressed DMEGs were selected with both hypomethylated in promoter and body region. The 48 CLL cases were divided into 3 subgroups based on methylation site by SVM algorithm. Over 92% of CpGs associated with B cell subtypes were found in CLL-related DMPs. The DNA methylation pattern was altered across the genome in CLL patients. The methylation of , , and was significantly different between CLL cases and controls. Further studies are warranted to confirm our findings and identify the underlying mechanisms through which these methylation markers are associated with CLL.

摘要

DNA甲基化异常在慢性淋巴细胞白血病(CLL)患者的恶性B淋巴细胞中广泛存在,这表明DNA甲基化可能在CLL的发病机制中起作用。我们旨在探索与CLL相关的差异甲基化位点(DMP),并通过整合公共数据库来筛选差异甲基化和表达的基因(DMEG)。我们旨在分别根据启动子和基因体区域中的DMP观察每个DMEG在CLL中的变化趋势,以缩小DMEG的范围。我们还旨在探索CLL亚组的甲基化异质性以及B细胞成熟对CLL的影响。在这项基于人群的病例对照研究中,我们报告了一项全基因组DNA甲基化关联研究,使用Infinium HumanMethylation450 BeadChip对48例CLL患者和28例健康对照的CD19 B细胞的DNA甲基化进行分析。通过整合来自公共数据库的甲基化数据和表达数据,联合筛选基因集,然后探索启动子和基因体区域中的甲基化位点与每个基因表达之间的关系。此外,使用支持向量机(SVM)分类算法根据甲基化模式识别CLL病例的亚组,并观察与B细胞分化相关的甲基化位点对CLL相关位点的影响。我们在全基因组中鉴定出34,797个与CLL相关的DMP,其中大多数是低甲基化的;大多数位于基因体区域。通过将这些DMP与已发表的DNA甲基化和RNA测序数据相结合,我们检测到26,244个重复的DMP,它们与1,130个在CLL病例中表达有显著差异的基因相关。在这些DMEG中,选择了9个在启动子中高甲基化而在基因体区域中低甲基化的低表达DMEG,以及83个在启动子和基因体区域中均低甲基化的高表达DMEG。通过SVM算法根据甲基化位点将48例CLL病例分为3个亚组。在与CLL相关的DMP中发现了超过92%与B细胞亚型相关的CpG。CLL患者全基因组的DNA甲基化模式发生了改变。CLL病例和对照之间, 、 和 的甲基化存在显著差异。有必要进行进一步的研究来证实我们的发现,并确定这些甲基化标记与CLL相关的潜在机制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/daba/9873975/92008bcdcb81/fgene-13-1056043-g001.jpg

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