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人类 HSPCs 中转录调控因子的全基因组分析揭示了编码和非编码基因之间密集相互关联的网络。

Genome-wide analysis of transcriptional regulators in human HSPCs reveals a densely interconnected network of coding and noncoding genes.

机构信息

Lowy Cancer Research Centre and the Prince of Wales Clinical School, University of New South Wales, Sydney, Australia;

出版信息

Blood. 2013 Oct 3;122(14):e12-22. doi: 10.1182/blood-2013-03-490425. Epub 2013 Aug 23.

Abstract

Genome-wide combinatorial binding patterns for key transcription factors (TFs) have not been reported for primary human hematopoietic stem and progenitor cells (HSPCs), and have constrained analysis of the global architecture of molecular circuits controlling these cells. Here we provide high-resolution genome-wide binding maps for a heptad of key TFs (FLI1, ERG, GATA2, RUNX1, SCL, LYL1, and LMO2) in human CD34(+) HSPCs, together with quantitative RNA and microRNA expression profiles. We catalog binding of TFs at coding genes and microRNA promoters, and report that combinatorial binding of all 7 TFs is favored and associated with differential expression of genes and microRNA in HSPCs. We also uncover a previously unrecognized association between FLI1 and RUNX1 pairing in HSPCs, we establish a correlation between the density of histone modifications that mark active enhancers and the number of overlapping TFs at a peak, we demonstrate bivalent histone marks at promoters of heptad target genes in CD34(+) cells that are poised for later expression, and we identify complex relationships between specific microRNAs and coding genes regulated by the heptad. Taken together, these data reveal the power of integrating multifactor sequencing of chromatin immunoprecipitates with coding and noncoding gene expression to identify regulatory circuits controlling cell identity.

摘要

全基因组组合结合模式对于关键转录因子(TFs)尚未在原代人造血干细胞和祖细胞(HSPCs)中报道过,这限制了对控制这些细胞的分子电路的全球结构的分析。在这里,我们提供了 7 个关键 TF(FLI1、ERG、GATA2、RUNX1、SCL、LYL1 和 LMO2)在人 CD34+ HSPCs 中的高分辨率全基因组结合图谱,以及定量 RNA 和 microRNA 表达谱。我们编目了 TF 在编码基因和 microRNA 启动子上的结合,并报告说所有 7 个 TF 的组合结合是有利的,并且与 HSPCs 中基因和 microRNA 的差异表达相关。我们还发现了 FLI1 和 RUNX1 在 HSPCs 中的配对之前未被识别的关联,我们建立了标记活跃增强子的组蛋白修饰密度与峰处重叠 TF 数量之间的相关性,我们证明了 CD34+细胞中七重靶基因启动子上的二价组蛋白标记处于准备表达的状态,并且我们确定了特定 microRNA 和由七重调控的编码基因之间的复杂关系。总之,这些数据揭示了将染色质免疫沉淀的多因素测序与编码和非编码基因表达相结合以鉴定控制细胞身份的调节回路的强大功能。

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