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核组动态变化在视网膜发育过程中。

Nucleome Dynamics during Retinal Development.

机构信息

Department of Developmental Neurobiology, St. Jude Children's Research Hospital, Memphis, TN 38105, USA.

Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN 38105, USA.

出版信息

Neuron. 2019 Nov 6;104(3):512-528.e11. doi: 10.1016/j.neuron.2019.08.002. Epub 2019 Sep 4.

Abstract

More than 8,000 genes are turned on or off as progenitor cells produce the 7 classes of retinal cell types during development. Thousands of enhancers are also active in the developing retinae, many having features of cell- and developmental stage-specific activity. We studied dynamic changes in the 3D chromatin landscape important for precisely orchestrated changes in gene expression during retinal development by ultra-deep in situ Hi-C analysis on murine retinae. We identified developmental-stage-specific changes in chromatin compartments and enhancer-promoter interactions. We developed a machine learning-based algorithm to map euchromatin and heterochromatin domains genome-wide and overlaid it with chromatin compartments identified by Hi-C. Single-cell ATAC-seq and RNA-seq were integrated with our Hi-C and previous ChIP-seq data to identify cell- and developmental-stage-specific super-enhancers (SEs). We identified a bipolar neuron-specific core regulatory circuit SE upstream of Vsx2, whose deletion in mice led to the loss of bipolar neurons.

摘要

在祖细胞发育为 7 种视网膜细胞类型的过程中,有 8000 多个基因被开启或关闭。数千个增强子也在发育中的视网膜中活跃,其中许多具有细胞和发育阶段特异性活性的特征。我们通过对小鼠视网膜进行超深度原位 Hi-C 分析,研究了对基因表达进行精确调控的 3D 染色质景观的动态变化,这些变化对视网膜发育很重要。我们发现染色质区室和增强子-启动子相互作用发生了发育阶段特异性变化。我们开发了一种基于机器学习的算法,用于绘制全基因组的常染色质和异染色质区域,并将其与 Hi-C 识别的染色质区室进行叠加。单细胞 ATAC-seq 和 RNA-seq 与我们的 Hi-C 和以前的 ChIP-seq 数据进行了整合,以鉴定细胞和发育阶段特异性的超级增强子(SEs)。我们鉴定了一个双极神经元特异性核心调控回路 SE,位于 Vsx2 的上游,其在小鼠中的缺失导致双极神经元的丢失。

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Nucleome Dynamics during Retinal Development.核组动态变化在视网膜发育过程中。
Neuron. 2019 Nov 6;104(3):512-528.e11. doi: 10.1016/j.neuron.2019.08.002. Epub 2019 Sep 4.

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