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GATA-1 全基因组占据与小鼠胎肝红细胞生成中的独特表观遗传特征相关联。

GATA-1 genome-wide occupancy associates with distinct epigenetic profiles in mouse fetal liver erythropoiesis.

机构信息

Division of Molecular Oncology, Biomedical Sciences Research Center "Alexander Fleming", Vari GR16672, Greece.

出版信息

Nucleic Acids Res. 2013 May;41(9):4938-48. doi: 10.1093/nar/gkt167. Epub 2013 Mar 21.

Abstract

We report the genomic occupancy profiles of the key hematopoietic transcription factor GATA-1 in pro-erythroblasts and mature erythroid cells fractionated from day E12.5 mouse fetal liver cells. Integration of GATA-1 occupancy profiles with available genome-wide transcription factor and epigenetic profiles assayed in fetal liver cells enabled as to evaluate GATA-1 involvement in modulating local chromatin structure of target genes during erythroid differentiation. Our results suggest that GATA-1 associates preferentially with changes of specific epigenetic modifications, such as H4K16, H3K27 acetylation and H3K4 di-methylation. Furthermore, we used random forest (RF) non-linear regression to predict changes in the expression levels of GATA-1 target genes based on the genomic features available for pro-erythroblasts and mature fetal liver-derived erythroid cells. Remarkably, our prediction model explained a high proportion of 62% of variation in gene expression. Hierarchical clustering of the proximity values calculated by the RF model produced a clear separation of upregulated versus downregulated genes and a further separation of downregulated genes in two distinct groups. Thus, our study of GATA-1 genome-wide occupancy profiles in mouse primary erythroid cells and their integration with global epigenetic marks reveals three clusters of GATA-1 gene targets that are associated with specific epigenetic signatures and functional characteristics.

摘要

我们报告了关键造血转录因子 GATA-1 在从 E12.5 天的胎鼠肝脏细胞中分离的原红细胞和成熟红细胞细胞中的基因组占据谱。将 GATA-1 占据谱与在胎鼠肝脏细胞中测定的可用全基因组转录因子和表观遗传谱进行整合,使我们能够评估 GATA-1 在红细胞分化过程中调节靶基因局部染色质结构的作用。我们的结果表明,GATA-1 优先与特定表观遗传修饰的变化相关,例如 H4K16、H3K27 乙酰化和 H3K4 二甲基化。此外,我们使用随机森林(RF)非线性回归来基于原红细胞和成熟胎鼠肝脏衍生的红细胞的基因组特征来预测 GATA-1 靶基因表达水平的变化。值得注意的是,我们的预测模型解释了基因表达变化的 62%的高比例。通过 RF 模型计算的接近值的层次聚类产生了上调基因与下调基因的清晰分离,以及下调基因在两个不同组中的进一步分离。因此,我们对小鼠原代红细胞中 GATA-1 的全基因组占据谱的研究及其与全局表观遗传标记的整合揭示了与特定表观遗传特征和功能特征相关的 GATA-1 基因靶标的三个簇。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc30/3643580/df5669f0aef3/gkt167f1p.jpg

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