CoBATCH for High-Throughput Single-Cell Epigenomic Profiling
An efficient, generalizable method for genome-wide mapping of single-cell histone modifications or chromatin-binding proteins is lacking. Here, we develop CoBATCH, combinatorial barcoding and targeted chromatin release, for single-cell profiling of genomic distribution of chromatin-binding proteins...
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Veröffentlicht in: | Molecular cell 2019-10, Vol.76 (1), p.206-216.e7 |
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creator | Wang, Qianhao Xiong, Haiqing Ai, Shanshan Yu, Xianhong Liu, Yaxi Zhang, Jiejie He, Aibin |
description | An efficient, generalizable method for genome-wide mapping of single-cell histone modifications or chromatin-binding proteins is lacking. Here, we develop CoBATCH, combinatorial barcoding and targeted chromatin release, for single-cell profiling of genomic distribution of chromatin-binding proteins in cell culture and tissue. Protein A in fusion to Tn5 transposase is enriched through specific antibodies to genomic regions, and Tn5 generates indexed chromatin fragments ready for library preparation and sequencing. Importantly, this strategy enables not only low-input epigenomic profiling in intact tissues but also measures scalable up to tens of thousands of single cells per experiment under both native and cross-linked conditions. CoBATCH produces ∼12,000 reads/cell with extremely low background. Mapping of endothelial cell lineages from ten embryonic mouse organs through CoBATCH allows for efficient deciphering of epigenetic heterogeneity of cell populations and cis-regulatory mechanisms. Thus, obviating specialized devices, CoBATCH is broadly applicable and easily deployable for single-cell profiling of protein-DNA interactions.
[Display omitted]
•Development of an immunoprecipitation-free single-cell ChIP-seq technology•CoBATCH acquires ∼12,000 usable reads per cell with extremely low background•CoBATCH reveals multi-layer epigenetic heterogeneity during cell lineage diversification
Wang et al. developed a high-throughput, single-cell CoBATCH for profiling various histone modifications and DNA-binding proteins in both fixed and native conditions, uncovering epigenetic heterogeneity and inferring cell lineage diversification. |
doi_str_mv | 10.1016/j.molcel.2019.07.015 |
format | Article |
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[Display omitted]
•Development of an immunoprecipitation-free single-cell ChIP-seq technology•CoBATCH acquires ∼12,000 usable reads per cell with extremely low background•CoBATCH reveals multi-layer epigenetic heterogeneity during cell lineage diversification
Wang et al. developed a high-throughput, single-cell CoBATCH for profiling various histone modifications and DNA-binding proteins in both fixed and native conditions, uncovering epigenetic heterogeneity and inferring cell lineage diversification.</description><identifier>ISSN: 1097-2765</identifier><identifier>EISSN: 1097-4164</identifier><identifier>DOI: 10.1016/j.molcel.2019.07.015</identifier><identifier>PMID: 31471188</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Acetylation ; Animals ; cell fate decision ; Cell Line ; Chromatin - genetics ; Chromatin - metabolism ; chromatin state ; endothelial cells ; enhancer ; Epigenome ; epigenomics ; Epigenomics - methods ; High-Throughput Nucleotide Sequencing ; Histones - metabolism ; Methylation ; Mice ; Mice, Transgenic ; Mouse Embryonic Stem Cells - metabolism ; Protein Binding ; Protein Processing, Post-Translational ; Single-Cell Analysis ; single-cell ChIP</subject><ispartof>Molecular cell, 2019-10, Vol.76 (1), p.206-216.e7</ispartof><rights>2019 Elsevier Inc.</rights><rights>Copyright © 2019 Elsevier Inc. All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c474t-523979983bbcf71bd50e0f8da2e081f426ec908317ce8dc4cc4072655915ce9f3</citedby><cites>FETCH-LOGICAL-c474t-523979983bbcf71bd50e0f8da2e081f426ec908317ce8dc4cc4072655915ce9f3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S1097276519305453$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31471188$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Wang, Qianhao</creatorcontrib><creatorcontrib>Xiong, Haiqing</creatorcontrib><creatorcontrib>Ai, Shanshan</creatorcontrib><creatorcontrib>Yu, Xianhong</creatorcontrib><creatorcontrib>Liu, Yaxi</creatorcontrib><creatorcontrib>Zhang, Jiejie</creatorcontrib><creatorcontrib>He, Aibin</creatorcontrib><title>CoBATCH for High-Throughput Single-Cell Epigenomic Profiling</title><title>Molecular cell</title><addtitle>Mol Cell</addtitle><description>An efficient, generalizable method for genome-wide mapping of single-cell histone modifications or chromatin-binding proteins is lacking. Here, we develop CoBATCH, combinatorial barcoding and targeted chromatin release, for single-cell profiling of genomic distribution of chromatin-binding proteins in cell culture and tissue. Protein A in fusion to Tn5 transposase is enriched through specific antibodies to genomic regions, and Tn5 generates indexed chromatin fragments ready for library preparation and sequencing. Importantly, this strategy enables not only low-input epigenomic profiling in intact tissues but also measures scalable up to tens of thousands of single cells per experiment under both native and cross-linked conditions. CoBATCH produces ∼12,000 reads/cell with extremely low background. Mapping of endothelial cell lineages from ten embryonic mouse organs through CoBATCH allows for efficient deciphering of epigenetic heterogeneity of cell populations and cis-regulatory mechanisms. Thus, obviating specialized devices, CoBATCH is broadly applicable and easily deployable for single-cell profiling of protein-DNA interactions.
[Display omitted]
•Development of an immunoprecipitation-free single-cell ChIP-seq technology•CoBATCH acquires ∼12,000 usable reads per cell with extremely low background•CoBATCH reveals multi-layer epigenetic heterogeneity during cell lineage diversification
Wang et al. developed a high-throughput, single-cell CoBATCH for profiling various histone modifications and DNA-binding proteins in both fixed and native conditions, uncovering epigenetic heterogeneity and inferring cell lineage diversification.</description><subject>Acetylation</subject><subject>Animals</subject><subject>cell fate decision</subject><subject>Cell Line</subject><subject>Chromatin - genetics</subject><subject>Chromatin - metabolism</subject><subject>chromatin state</subject><subject>endothelial cells</subject><subject>enhancer</subject><subject>Epigenome</subject><subject>epigenomics</subject><subject>Epigenomics - methods</subject><subject>High-Throughput Nucleotide Sequencing</subject><subject>Histones - metabolism</subject><subject>Methylation</subject><subject>Mice</subject><subject>Mice, Transgenic</subject><subject>Mouse Embryonic Stem Cells - metabolism</subject><subject>Protein Binding</subject><subject>Protein Processing, Post-Translational</subject><subject>Single-Cell Analysis</subject><subject>single-cell ChIP</subject><issn>1097-2765</issn><issn>1097-4164</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kFFLwzAUhYMobk7_gUgffWnNTdOmARHmmE4YKDifQ5febhntMpNV8N-b0emjT_fCPedczkfINdAEKOR3m6S1jcYmYRRkQkVCITshQ6BSxBxyfnrcmcizAbnwfkMp8KyQ52SQAhcARTEk9xP7OF5MZlFtXTQzq3W8WDvbrda7bh-9m-2qwXiCTRNNd2aFW9saHb05W5sm3C7JWV02Hq-Oc0Q-nqYhLJ6_Pr9MxvNYc8H3ccZSKaQs0uVS1wKWVUaR1kVVMqQF1JzlqCUtUhAai0pzrTkVLM8yCZlGWacjctvn7pz97NDvVWt8qN6UW7SdV4wFM5UMWJDyXqqd9d5hrXbOtKX7VkDVgZvaqJ6bOnBTVKjALdhujh-6ZYvVn-kXVBA89AIMPb8MOuW1wa3GyjjUe1VZ8_-HH8q4fq4</recordid><startdate>20191003</startdate><enddate>20191003</enddate><creator>Wang, Qianhao</creator><creator>Xiong, Haiqing</creator><creator>Ai, Shanshan</creator><creator>Yu, Xianhong</creator><creator>Liu, Yaxi</creator><creator>Zhang, Jiejie</creator><creator>He, Aibin</creator><general>Elsevier Inc</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20191003</creationdate><title>CoBATCH for High-Throughput Single-Cell Epigenomic Profiling</title><author>Wang, Qianhao ; Xiong, Haiqing ; Ai, Shanshan ; Yu, Xianhong ; Liu, Yaxi ; Zhang, Jiejie ; He, Aibin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c474t-523979983bbcf71bd50e0f8da2e081f426ec908317ce8dc4cc4072655915ce9f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Acetylation</topic><topic>Animals</topic><topic>cell fate decision</topic><topic>Cell Line</topic><topic>Chromatin - genetics</topic><topic>Chromatin - metabolism</topic><topic>chromatin state</topic><topic>endothelial cells</topic><topic>enhancer</topic><topic>Epigenome</topic><topic>epigenomics</topic><topic>Epigenomics - methods</topic><topic>High-Throughput Nucleotide Sequencing</topic><topic>Histones - metabolism</topic><topic>Methylation</topic><topic>Mice</topic><topic>Mice, Transgenic</topic><topic>Mouse Embryonic Stem Cells - metabolism</topic><topic>Protein Binding</topic><topic>Protein Processing, Post-Translational</topic><topic>Single-Cell Analysis</topic><topic>single-cell ChIP</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Qianhao</creatorcontrib><creatorcontrib>Xiong, Haiqing</creatorcontrib><creatorcontrib>Ai, Shanshan</creatorcontrib><creatorcontrib>Yu, Xianhong</creatorcontrib><creatorcontrib>Liu, Yaxi</creatorcontrib><creatorcontrib>Zhang, Jiejie</creatorcontrib><creatorcontrib>He, Aibin</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Molecular cell</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Qianhao</au><au>Xiong, Haiqing</au><au>Ai, Shanshan</au><au>Yu, Xianhong</au><au>Liu, Yaxi</au><au>Zhang, Jiejie</au><au>He, Aibin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>CoBATCH for High-Throughput Single-Cell Epigenomic Profiling</atitle><jtitle>Molecular cell</jtitle><addtitle>Mol Cell</addtitle><date>2019-10-03</date><risdate>2019</risdate><volume>76</volume><issue>1</issue><spage>206</spage><epage>216.e7</epage><pages>206-216.e7</pages><issn>1097-2765</issn><eissn>1097-4164</eissn><abstract>An efficient, generalizable method for genome-wide mapping of single-cell histone modifications or chromatin-binding proteins is lacking. Here, we develop CoBATCH, combinatorial barcoding and targeted chromatin release, for single-cell profiling of genomic distribution of chromatin-binding proteins in cell culture and tissue. Protein A in fusion to Tn5 transposase is enriched through specific antibodies to genomic regions, and Tn5 generates indexed chromatin fragments ready for library preparation and sequencing. Importantly, this strategy enables not only low-input epigenomic profiling in intact tissues but also measures scalable up to tens of thousands of single cells per experiment under both native and cross-linked conditions. CoBATCH produces ∼12,000 reads/cell with extremely low background. Mapping of endothelial cell lineages from ten embryonic mouse organs through CoBATCH allows for efficient deciphering of epigenetic heterogeneity of cell populations and cis-regulatory mechanisms. Thus, obviating specialized devices, CoBATCH is broadly applicable and easily deployable for single-cell profiling of protein-DNA interactions.
[Display omitted]
•Development of an immunoprecipitation-free single-cell ChIP-seq technology•CoBATCH acquires ∼12,000 usable reads per cell with extremely low background•CoBATCH reveals multi-layer epigenetic heterogeneity during cell lineage diversification
Wang et al. developed a high-throughput, single-cell CoBATCH for profiling various histone modifications and DNA-binding proteins in both fixed and native conditions, uncovering epigenetic heterogeneity and inferring cell lineage diversification.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>31471188</pmid><doi>10.1016/j.molcel.2019.07.015</doi><oa>free_for_read</oa></addata></record> |
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subjects | Acetylation Animals cell fate decision Cell Line Chromatin - genetics Chromatin - metabolism chromatin state endothelial cells enhancer Epigenome epigenomics Epigenomics - methods High-Throughput Nucleotide Sequencing Histones - metabolism Methylation Mice Mice, Transgenic Mouse Embryonic Stem Cells - metabolism Protein Binding Protein Processing, Post-Translational Single-Cell Analysis single-cell ChIP |
title | CoBATCH for High-Throughput Single-Cell Epigenomic Profiling |
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