<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Wang P</submitter><funding>NHGRI NIH HHS</funding><pagination>e174</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC8351913</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>1(8)</volume><pubmed_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.</pubmed_abstract><journal>Current protocols</journal><pubmed_title>In situ Chromatin Interaction Analysis Using Paired-End Tag Sequencing.</pubmed_title><pmcid>PMC8351913</pmcid><funding_grant_id>UM1 HG009409</funding_grant_id><pubmed_authors>Ruan Y</pubmed_authors><pubmed_authors>Ruan X</pubmed_authors><pubmed_authors>Feng Y</pubmed_authors><pubmed_authors>Shen C</pubmed_authors><pubmed_authors>Chai H</pubmed_authors><pubmed_authors>Kim M</pubmed_authors><pubmed_authors>Yang X</pubmed_authors><pubmed_authors>Liu X</pubmed_authors><pubmed_authors>Lee B</pubmed_authors><pubmed_authors>Wang P</pubmed_authors><pubmed_authors>Zhu K</pubmed_authors><pubmed_authors>Gega E</pubmed_authors><pubmed_authors>Chang YT</pubmed_authors></additional><is_claimable>false</is_claimable><name>In situ Chromatin Interaction Analysis Using Paired-End Tag Sequencing.</name><description>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.</description><dates><release>2021-01-01T00:00:00Z</release><publication>2021 Aug</publication><modification>2024-10-18T22:43:46.725Z</modification><creation>2024-10-18T22:43:46.725Z</creation></dates><accession>S-EPMC8351913</accession><cross_references><pubmed>34351700</pubmed><doi>10.1002/cpz1.174</doi></cross_references></HashMap>