Schönung Maximilian, Hartmann Mark, Krämer Stephen, Stäble Sina, Hakobyan Mariam, Kleinert Emely, Aurich Theo, Cobanoglu Defne, Heidel Florian H, Fröhling Stefan, Milsom Michael D, Schlesner Matthias, Lutsik Pavlo, Lipka Daniel B
Section Translational Cancer Epigenomics, Division of Translational Medical Oncology, German Cancer Research Center and National Center for Tumor Diseases, Heidelberg, Germany; Faculty of Biosciences, Heidelberg University, Heidelberg, Germany.
Section Translational Cancer Epigenomics, Division of Translational Medical Oncology, German Cancer Research Center and National Center for Tumor Diseases, Heidelberg, Germany; Division of Pediatric Hematology and Oncology, Department of Pediatrics and Adolescent Medicine, Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
Exp Hematol. 2023 Jan;117:24-42.e7. doi: 10.1016/j.exphem.2022.11.001. Epub 2022 Nov 8.
Differentiation of hematopoietic stem and progenitor cells to terminally differentiated immune cells is accompanied by large-scale remodeling of the DNA methylation landscape. Although significant insights into the molecular mechanisms of hematopoietic tissue regeneration were derived from mouse models, profiling of DNA methylation has been hampered by high cost or low resolution using available methods. The recent development of the Infinium Mouse Methylation BeadChip (MMBC) array facilitates methylation profiling of the mouse genome at a single CpG resolution at affordable cost. We extended the RnBeads package to provide a computational framework for the analysis of MMBC data. This framework was applied to a newly generated reference map of mouse hematopoiesis encompassing nine different cell types. Analysis of dynamically regulated CpG sites showed progressive and unidirectional DNA methylation changes from hematopoietic stem and progenitor cells to differentiated hematopoietic cells and allowed the identification of lineage- and cell type-specific DNA methylation programs. Comparison with previously published catalogs of cis-regulatory elements (CREs) revealed 12,856 novel putative CREs that were dynamically regulated by DNA methylation (mdCREs). These mdCREs were predominantly associated with patterns of cell type-specific DNA hypomethylation and could be identified as epigenetic control regions regulating the expression of key hematopoietic genes during differentiation. In summary, we established an analysis pipeline for MMBC data sets and provide a DNA methylation atlas of mouse hematopoiesis. This resource allowed us to identify novel putative CREs involved in hematopoiesis and will serve as a platform to study epigenetic regulation of normal and malignant hematopoiesis.
造血干细胞和祖细胞向终末分化免疫细胞的分化伴随着DNA甲基化格局的大规模重塑。尽管从小鼠模型中获得了对造血组织再生分子机制的重要见解,但使用现有方法进行DNA甲基化分析一直受到高成本或低分辨率的阻碍。Infinium小鼠甲基化芯片(MMBC)阵列的最新发展以可承受的成本促进了对小鼠基因组在单个CpG分辨率下的甲基化分析。我们扩展了RnBeads软件包,为MMBC数据分析提供了一个计算框架。该框架应用于一个新生成的包含九种不同细胞类型的小鼠造血参考图谱。对动态调控的CpG位点的分析显示,从造血干细胞和祖细胞到分化的造血细胞存在渐进且单向的DNA甲基化变化,并能够鉴定出谱系和细胞类型特异性的DNA甲基化程序。与先前发表的顺式调控元件(CRE)目录进行比较,发现了12856个新的推定CRE,它们受DNA甲基化动态调控(mdCRE)。这些mdCRE主要与细胞类型特异性DNA低甲基化模式相关,并且可以被鉴定为在分化过程中调节关键造血基因表达的表观遗传控制区域。总之,我们建立了一个用于MMBC数据集的分析流程,并提供了小鼠造血的DNA甲基化图谱。这一资源使我们能够鉴定参与造血的新推定CRE,并将作为研究正常和恶性造血表观遗传调控的平台。