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ChIATAC is an efficient strategy for multi-omics mapping of 3D epigenomes from low-cell inputs
Connecting genes to their cis-regulatory elements has been enabled by genome-wide mapping of chromatin interactions using proximity ligation in ChIA-PET, Hi-C, and their derivatives. However, these methods require millions of input cells for high-quality data and thus are unsuitable for many studies...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9839710/ https://www.ncbi.nlm.nih.gov/pubmed/36639381 http://dx.doi.org/10.1038/s41467-023-35879-5 |
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author | Chai, Haoxi Tjong, Harianto Li, Peng Liao, Wei Wang, Ping Wong, Chee Hong Ngan, Chew Yee Leonard, Warren J. Wei, Chia-Lin Ruan, Yijun |
author_facet | Chai, Haoxi Tjong, Harianto Li, Peng Liao, Wei Wang, Ping Wong, Chee Hong Ngan, Chew Yee Leonard, Warren J. Wei, Chia-Lin Ruan, Yijun |
author_sort | Chai, Haoxi |
collection | PubMed |
description | Connecting genes to their cis-regulatory elements has been enabled by genome-wide mapping of chromatin interactions using proximity ligation in ChIA-PET, Hi-C, and their derivatives. However, these methods require millions of input cells for high-quality data and thus are unsuitable for many studies when only limited cells are available. Conversely, epigenomic profiling via transposase digestion in ATAC-seq requires only hundreds to thousands of cells to robustly map open chromatin associated with transcription activity, but it cannot directly connect active genes to their distal enhancers. Here, we combine proximity ligation in ChIA-PET and transposase accessibility in ATAC-seq into ChIATAC to efficiently map interactions between open chromatin loci in low numbers of input cells. We validate ChIATAC in Drosophila cells and optimize it for mapping 3D epigenomes in human cells robustly. Applying ChIATAC to primary human T cells, we reveal mechanisms that topologically regulate transcriptional programs during T cell activation. |
format | Online Article Text |
id | pubmed-9839710 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-98397102023-01-15 ChIATAC is an efficient strategy for multi-omics mapping of 3D epigenomes from low-cell inputs Chai, Haoxi Tjong, Harianto Li, Peng Liao, Wei Wang, Ping Wong, Chee Hong Ngan, Chew Yee Leonard, Warren J. Wei, Chia-Lin Ruan, Yijun Nat Commun Article Connecting genes to their cis-regulatory elements has been enabled by genome-wide mapping of chromatin interactions using proximity ligation in ChIA-PET, Hi-C, and their derivatives. However, these methods require millions of input cells for high-quality data and thus are unsuitable for many studies when only limited cells are available. Conversely, epigenomic profiling via transposase digestion in ATAC-seq requires only hundreds to thousands of cells to robustly map open chromatin associated with transcription activity, but it cannot directly connect active genes to their distal enhancers. Here, we combine proximity ligation in ChIA-PET and transposase accessibility in ATAC-seq into ChIATAC to efficiently map interactions between open chromatin loci in low numbers of input cells. We validate ChIATAC in Drosophila cells and optimize it for mapping 3D epigenomes in human cells robustly. Applying ChIATAC to primary human T cells, we reveal mechanisms that topologically regulate transcriptional programs during T cell activation. Nature Publishing Group UK 2023-01-13 /pmc/articles/PMC9839710/ /pubmed/36639381 http://dx.doi.org/10.1038/s41467-023-35879-5 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Chai, Haoxi Tjong, Harianto Li, Peng Liao, Wei Wang, Ping Wong, Chee Hong Ngan, Chew Yee Leonard, Warren J. Wei, Chia-Lin Ruan, Yijun ChIATAC is an efficient strategy for multi-omics mapping of 3D epigenomes from low-cell inputs |
title | ChIATAC is an efficient strategy for multi-omics mapping of 3D epigenomes from low-cell inputs |
title_full | ChIATAC is an efficient strategy for multi-omics mapping of 3D epigenomes from low-cell inputs |
title_fullStr | ChIATAC is an efficient strategy for multi-omics mapping of 3D epigenomes from low-cell inputs |
title_full_unstemmed | ChIATAC is an efficient strategy for multi-omics mapping of 3D epigenomes from low-cell inputs |
title_short | ChIATAC is an efficient strategy for multi-omics mapping of 3D epigenomes from low-cell inputs |
title_sort | chiatac is an efficient strategy for multi-omics mapping of 3d epigenomes from low-cell inputs |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9839710/ https://www.ncbi.nlm.nih.gov/pubmed/36639381 http://dx.doi.org/10.1038/s41467-023-35879-5 |
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