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In situ Chromatin Interaction Analysis Using Paired-End Tag Sequencing.


ABSTRACT: Chromatin Interaction Analysis Using Paired-End Tag Sequencing (ChIA-PET) is an established method to map protein-mediated chromatin interactions. A limitation, however, is that it requires a hundred million cells per experiment, which hampers its broad application in biomedical research, particularly in studies in which it is impractical to obtain a large number of cells from rare samples. To reduce the required input cell number while retaining high data quality, we developed an in situ ChIA-PET protocol, which requires as few as 1 million cells. Here, we describe detailed step-by-step procedures for performing in situ ChIA-PET from cultured cells, including both an experimental protocol for sample preparation and data generation and a computational protocol for data processing and visualization using the ChIA-PIPE pipeline. As the protocol significantly simplifies the experimental procedure, reduces ligation noise, and decreases the required input of cells compared to previous versions of ChIA-PET protocols, it can be applied to generate high-resolution chromatin contact maps mediated by various protein factors for a wide range of human and mouse primary cells. © 2021 The Authors. Current Protocols published by Wiley Periodicals LLC. Basic Protocol 1: Sample preparation and data generation Support Protocol: Bridge linker preparation Basic Protocol 2: Data processing and visualization.

SUBMITTER: Wang P 

PROVIDER: S-EPMC8351913 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature

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In situ Chromatin Interaction Analysis Using Paired-End Tag Sequencing.

Wang Ping P   Feng Yuliang Y   Zhu Kun K   Chai Haoxi H   Chang Ya-Ting YT   Yang Xiaofei X   Liu Xiyuan X   Shen Chen C   Gega Eva E   Lee Byoungkoo B   Kim Minji M   Ruan Xiaoan X   Ruan Yijun Y  

Current protocols 20210801 8


Chromatin Interaction Analysis Using Paired-End Tag Sequencing (ChIA-PET) is an established method to map protein-mediated chromatin interactions. A limitation, however, is that it requires a hundred million cells per experiment, which hampers its broad application in biomedical research, particularly in studies in which it is impractical to obtain a large number of cells from rare samples. To reduce the required input cell number while retaining high data quality, we developed an in situ ChIA-P  ...[more]

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