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使用ATAC测序和RNA测序提高基因调控网络连接性的分辨率。

Using ATAC-seq and RNA-seq to increase resolution in GRN connectivity.

作者信息

Lowe Elijah K, Cuomo Claudia, Voronov Danila, Arnone Maria I

机构信息

Stazione Zoologica Anton Dohrn, Naples, Italy.

Stazione Zoologica Anton Dohrn, Naples, Italy.

出版信息

Methods Cell Biol. 2019;151:115-126. doi: 10.1016/bs.mcb.2018.11.001. Epub 2018 Dec 24.

DOI:10.1016/bs.mcb.2018.11.001
PMID:30948003
Abstract

Echinoderms have some of the most complete reconstructed developmental gene regulatory networks (GRN) of any embryo, accounting for the formation of most embryo tissues and organs. Yet, many nodes (genes and regulators) and their regulatory interactions are still to be uncovered. Traditionally, knockdown/knockout experiments are performed to determine regulator-gene interactions, which are individually validated by cis-regulatory analysis. Differential RNA-seq, combined with perturbation analysis, allows for genome-wide reconstruction of a GRN around given regulators; however, this level of resolution cannot determine direct interactions. ChiP-chip or ChIP-seq is better equipped for determining, genome-wide, whether binding of a given transcription factor (TF) to cis-regulatory elements occurs. Antibodies for the TFs of interest must be available, and if not, this presents a limiting factor. ATAC-seq identifies regions of open chromatin, that are typically trimethylated at H3K4, H3K36 and H3K79 (Kouzarides, 2007), for a given time point, condition, or tissue. This technology combined with RNA-seq and perturbation analysis provides high resolution of the possible functional interactions occurring during development. Additionally, ATAC-seq is less expensive than ChIP-seq, requires less starting material, and provides a global view of regulatory regions. This chapter provides detailed steps to identify potential regulatory relationships between the nodes of a GRN, given a well assembled genome, annotated with gene models, and ATAC-seq data combined with RNA-seq and knockdown experiments.

摘要

棘皮动物拥有一些任何胚胎中最完整的重建发育基因调控网络(GRN),这些网络解释了大多数胚胎组织和器官的形成。然而,许多节点(基因和调控因子)及其调控相互作用仍有待发现。传统上,通过敲低/敲除实验来确定调控因子与基因的相互作用,这些相互作用通过顺式调控分析进行单独验证。差异RNA测序结合扰动分析,可以在给定调控因子周围进行全基因组范围的GRN重建;然而,这种分辨率水平无法确定直接相互作用。ChIP芯片或ChIP测序在全基因组范围内更适合确定给定转录因子(TF)是否与顺式调控元件结合。必须有针对感兴趣TF的抗体,否则这将成为一个限制因素。ATAC测序可以识别给定时间点、条件或组织下开放染色质区域,这些区域通常在H3K4、H3K36和H3K79处发生三甲基化(Kouzarides,2007)。这项技术与RNA测序和扰动分析相结合,能够高分辨率地呈现发育过程中可能发生的功能相互作用。此外,ATAC测序比ChIP测序成本更低,所需起始材料更少,并能提供调控区域的全局视图。本章提供了详细步骤,用于在给定一个装配良好且带有基因模型注释的基因组,以及结合了RNA测序和敲低实验的ATAC测序数据的情况下,识别GRN节点之间潜在的调控关系。

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