Suppr超能文献

全基因组分析急性髓系白血病小鼠模型中转录重编程。

Genome-wide analysis of transcriptional reprogramming in mouse models of acute myeloid leukaemia.

机构信息

Department of Haematology, Cambridge Institute for Medical Research, Cambridge University, Cambridge, United Kingdom.

出版信息

PLoS One. 2011 Jan 28;6(1):e16330. doi: 10.1371/journal.pone.0016330.

Abstract

Acute leukaemias are commonly caused by mutations that corrupt the transcriptional circuitry of haematopoietic stem/progenitor cells. However, the mechanisms underlying large-scale transcriptional reprogramming remain largely unknown. Here we investigated transcriptional reprogramming at genome-scale in mouse retroviral transplant models of acute myeloid leukaemia (AML) using both gene-expression profiling and ChIP-sequencing. We identified several thousand candidate regulatory regions with altered levels of histone acetylation that were characterised by differential distribution of consensus motifs for key haematopoietic transcription factors including Gata2, Gfi1 and Sfpi1/Pu.1. In particular, downregulation of Gata2 expression was mirrored by abundant GATA motifs in regions of reduced histone acetylation suggesting an important role in leukaemogenic transcriptional reprogramming. Forced re-expression of Gata2 was not compatible with sustained growth of leukaemic cells thus suggesting a previously unrecognised role for Gata2 in downregulation during the development of AML. Additionally, large scale human AML datasets revealed significantly higher expression of GATA2 in CD34+ cells from healthy controls compared with AML blast cells. The integrated genome-scale analysis applied in this study represents a valuable and widely applicable approach to study the transcriptional control of both normal and aberrant haematopoiesis and to identify critical factors responsible for transcriptional reprogramming in human cancer.

摘要

急性白血病通常是由造血干/祖细胞转录电路的突变引起的。然而,大规模转录重编程的机制在很大程度上仍然未知。在这里,我们使用基因表达谱和 ChIP-seq 技术,在小鼠逆转录病毒移植急性髓系白血病 (AML) 模型中,对基因组范围内的转录重编程进行了研究。我们鉴定了数千个候选调控区,这些区的组蛋白乙酰化水平发生了改变,其特征是关键造血转录因子(包括 Gata2、Gfi1 和 Sfpi1/Pu.1)的共识基序的分布存在差异。特别是,Gata2 表达的下调与组蛋白乙酰化减少区域中丰富的 GATA 基序相匹配,这表明其在白血病发生的转录重编程中具有重要作用。Gata2 的强制表达与白血病细胞的持续生长不兼容,因此表明 Gata2 在 AML 发生过程中的下调中具有以前未被认识到的作用。此外,大规模的人类 AML 数据集显示,与 AML 母细胞相比,健康对照者 CD34+细胞中的 GATA2 表达明显更高。本研究中应用的整合基因组规模分析代表了一种有价值且广泛适用的方法,可用于研究正常和异常造血的转录控制,并鉴定导致人类癌症转录重编程的关键因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ced/3030562/62e250aabbe3/pone.0016330.g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验