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在血液干/祖细胞模型中进行的转录调控景观的综合基因组规模分析。

Integrated genome-scale analysis of the transcriptional regulatory landscape in a blood stem/progenitor cell model.

机构信息

Department of Haematology, Wellcome Trust and Medical Research Council Cambridge Stem Cell Institute & Cambridge Institute for Medical Research, Cambridge University, Cambridge, United Kingdom; and.

Nuclear Dynamics Programme, The Babraham Institute, Babraham Research Campus, Cambridge, United Kingdom.

出版信息

Blood. 2016 Mar 31;127(13):e12-23. doi: 10.1182/blood-2015-10-677393. Epub 2016 Jan 25.

DOI:10.1182/blood-2015-10-677393
PMID:26809507
Abstract

Comprehensive study of transcriptional control processes will be required to enhance our understanding of both normal and malignant hematopoiesis. Modern sequencing technologies have revolutionized our ability to generate genome-scale expression and histone modification profiles, transcription factor (TF)-binding maps, and also comprehensive chromatin-looping information. Many of these technologies, however, require large numbers of cells, and therefore cannot be applied to rare hematopoietic stem/progenitor cell (HSPC) populations. The stem cell factor-dependent multipotent progenitor cell line HPC-7 represents a well-recognized cell line model for HSPCs. Here we report genome-wide maps for 17 TFs, 3 histone modifications, DNase I hypersensitive sites, and high-resolution promoter-enhancer interactomes in HPC-7 cells. Integrated analysis of these complementary data sets revealed TF occupancy patterns of genomic regions involved in promoter-anchored loops. Moreover, preferential associations between pairs of TFs bound at either ends of chromatin loops led to the identification of 4 previously unrecognized protein-protein interactions between key blood stem cell regulators. All HPC-7 data sets are freely available both through standard repositories and a user-friendly Web interface. Together with previously generated genome-wide data sets, this study integrates HPC-7 data into a genomic resource on par with ENCODE tier 1 cell lines and, importantly, is the only current model with comprehensive genome-scale data that is relevant to HSPC biology.

摘要

要增强我们对正常和恶性造血的理解,就需要对转录控制过程进行全面研究。现代测序技术已经彻底改变了我们生成基因组规模表达和组蛋白修饰图谱、转录因子(TF)结合图谱以及全面染色质环信息的能力。然而,这些技术中的许多都需要大量的细胞,因此不能应用于罕见的造血干/祖细胞(HSPC)群体。干细胞因子依赖性多能祖细胞系 HPC-7 是 HSPC 的公认细胞系模型。在这里,我们报告了 HPC-7 细胞中 17 个 TF、3 个组蛋白修饰、DNase I 超敏位点和高分辨率启动子-增强子互作组的全基因组图谱。对这些互补数据集的综合分析揭示了参与启动子锚定环的基因组区域的 TF 占据模式。此外,染色质环两端结合的 TF 之间的优先关联导致鉴定出 4 个以前未识别的关键血液干细胞调节因子之间的蛋白质-蛋白质相互作用。所有 HPC-7 数据集都可以通过标准存储库和用户友好的 Web 界面免费获得。与之前生成的全基因组数据集一起,这项研究将 HPC-7 数据整合到一个与 ENCODE 第 1 层细胞系相当的基因组资源中,重要的是,这是唯一与 HSPC 生物学相关的具有全面基因组规模数据的当前模型。

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