Gladstone Institute of Neurological Disease, San Francisco, CA, USA.
Gladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA.
Nat Protoc. 2022 Jun;17(6):1518-1552. doi: 10.1038/s41596-022-00692-9. Epub 2022 Apr 27.
The assay for transposase-accessible chromatin using sequencing (ATAC-seq) provides a simple and scalable way to detect the unique chromatin landscape associated with a cell type and how it may be altered by perturbation or disease. ATAC-seq requires a relatively small number of input cells and does not require a priori knowledge of the epigenetic marks or transcription factors governing the dynamics of the system. Here we describe an updated and optimized protocol for ATAC-seq, called Omni-ATAC, that is applicable across a broad range of cell and tissue types. The ATAC-seq workflow has five main steps: sample preparation, transposition, library preparation, sequencing and data analysis. This protocol details the steps to generate and sequence ATAC-seq libraries, with recommendations for sample preparation and downstream bioinformatic analysis. ATAC-seq libraries for roughly 12 samples can be generated in 10 h by someone familiar with basic molecular biology, and downstream sequencing analysis can be implemented using benchmarked pipelines by someone with basic bioinformatics skills and with access to a high-performance computing environment.
使用测序进行转座酶可及染色质分析(ATAC-seq)提供了一种简单且可扩展的方法,可用于检测与细胞类型相关的独特染色质图谱,以及其如何因扰动或疾病而改变。ATAC-seq 需要相对较少的输入细胞,并且不需要先验的关于调控系统动力学的表观遗传标记或转录因子的知识。在这里,我们描述了一种称为 Omni-ATAC 的经过更新和优化的 ATAC-seq 方案,该方案适用于广泛的细胞和组织类型。ATAC-seq 工作流程有五个主要步骤:样品制备、转座、文库制备、测序和数据分析。本方案详细说明了生成和测序 ATAC-seq 文库的步骤,并针对样品制备和下游生物信息学分析提出了建议。对于熟悉基本分子生物学的人来说,大约 12 个样本的 ATAC-seq 文库可以在 10 小时内生成,并且具有基本生物信息学技能并可以访问高性能计算环境的人可以使用经过基准测试的管道来实现下游测序分析。