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SeATAC: a tool for exploring the chromatin landscape and the role of pioneer factors

Assay for Transposase-Accessible Chromatin with sequencing (ATAC-seq) reveals chromatin accessibility across the genome. Currently, no method specifically detects differential chromatin accessibility. Here, SeATAC uses a conditional variational autoencoder model to learn the latent representation of...

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Detalles Bibliográficos
Autores principales: Gong, Wuming, Dsouza, Nikita, Garry, Daniel J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10204251/
https://www.ncbi.nlm.nih.gov/pubmed/37218013
http://dx.doi.org/10.1186/s13059-023-02954-5
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author Gong, Wuming
Dsouza, Nikita
Garry, Daniel J.
author_facet Gong, Wuming
Dsouza, Nikita
Garry, Daniel J.
author_sort Gong, Wuming
collection PubMed
description Assay for Transposase-Accessible Chromatin with sequencing (ATAC-seq) reveals chromatin accessibility across the genome. Currently, no method specifically detects differential chromatin accessibility. Here, SeATAC uses a conditional variational autoencoder model to learn the latent representation of ATAC-seq V-plots and outperforms MACS2 and NucleoATAC on six separate tasks. Applying SeATAC to several pioneer factor-induced differentiation or reprogramming ATAC-seq datasets suggests that induction of these factors not only relaxes the closed chromatin but also decreases chromatin accessibility of 20% to 30% of their target sites. SeATAC is a novel tool to accurately reveal genomic regions with differential chromatin accessibility from ATAC-seq data. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-023-02954-5.
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spelling pubmed-102042512023-05-24 SeATAC: a tool for exploring the chromatin landscape and the role of pioneer factors Gong, Wuming Dsouza, Nikita Garry, Daniel J. Genome Biol Method Assay for Transposase-Accessible Chromatin with sequencing (ATAC-seq) reveals chromatin accessibility across the genome. Currently, no method specifically detects differential chromatin accessibility. Here, SeATAC uses a conditional variational autoencoder model to learn the latent representation of ATAC-seq V-plots and outperforms MACS2 and NucleoATAC on six separate tasks. Applying SeATAC to several pioneer factor-induced differentiation or reprogramming ATAC-seq datasets suggests that induction of these factors not only relaxes the closed chromatin but also decreases chromatin accessibility of 20% to 30% of their target sites. SeATAC is a novel tool to accurately reveal genomic regions with differential chromatin accessibility from ATAC-seq data. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-023-02954-5. BioMed Central 2023-05-22 /pmc/articles/PMC10204251/ /pubmed/37218013 http://dx.doi.org/10.1186/s13059-023-02954-5 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Method
Gong, Wuming
Dsouza, Nikita
Garry, Daniel J.
SeATAC: a tool for exploring the chromatin landscape and the role of pioneer factors
title SeATAC: a tool for exploring the chromatin landscape and the role of pioneer factors
title_full SeATAC: a tool for exploring the chromatin landscape and the role of pioneer factors
title_fullStr SeATAC: a tool for exploring the chromatin landscape and the role of pioneer factors
title_full_unstemmed SeATAC: a tool for exploring the chromatin landscape and the role of pioneer factors
title_short SeATAC: a tool for exploring the chromatin landscape and the role of pioneer factors
title_sort seatac: a tool for exploring the chromatin landscape and the role of pioneer factors
topic Method
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10204251/
https://www.ncbi.nlm.nih.gov/pubmed/37218013
http://dx.doi.org/10.1186/s13059-023-02954-5
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