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Computational workflow for integrative analyses of DNA replication timing, epigenomic, and transcriptomic data

Temporal profiling of DNA replication timing (RT) in combination with chromatin modifications, chromatin accessibility, and gene expression provides new insights into the causal relationships between chromatin and RT during cell cycle. Here, we describe a protocol for in-depth integrative computatio...

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Detalles Bibliográficos
Autores principales: Ji, Fei, Van Rechem, Capucine, Whetstine, Johnathan R., Sadreyev, Ruslan I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9647704/
https://www.ncbi.nlm.nih.gov/pubmed/36386876
http://dx.doi.org/10.1016/j.xpro.2022.101827
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author Ji, Fei
Van Rechem, Capucine
Whetstine, Johnathan R.
Sadreyev, Ruslan I.
author_facet Ji, Fei
Van Rechem, Capucine
Whetstine, Johnathan R.
Sadreyev, Ruslan I.
author_sort Ji, Fei
collection PubMed
description Temporal profiling of DNA replication timing (RT) in combination with chromatin modifications, chromatin accessibility, and gene expression provides new insights into the causal relationships between chromatin and RT during cell cycle. Here, we describe a protocol for in-depth integrative computational analyses of Repli-seq, ATAC-seq, RNA-seq, and ChIP-seq or CUT&RUN data for multiple marks at various time points across cell cycle and changes in their interrelationships upon an experimental perturbation (e.g., knockdown or overexpression of a regulatory protein). For complete details on the use and execution of this protocol, please refer to Van Rechem et al. (2021).
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spelling pubmed-96477042022-11-15 Computational workflow for integrative analyses of DNA replication timing, epigenomic, and transcriptomic data Ji, Fei Van Rechem, Capucine Whetstine, Johnathan R. Sadreyev, Ruslan I. STAR Protoc Protocol Temporal profiling of DNA replication timing (RT) in combination with chromatin modifications, chromatin accessibility, and gene expression provides new insights into the causal relationships between chromatin and RT during cell cycle. Here, we describe a protocol for in-depth integrative computational analyses of Repli-seq, ATAC-seq, RNA-seq, and ChIP-seq or CUT&RUN data for multiple marks at various time points across cell cycle and changes in their interrelationships upon an experimental perturbation (e.g., knockdown or overexpression of a regulatory protein). For complete details on the use and execution of this protocol, please refer to Van Rechem et al. (2021). Elsevier 2022-11-08 /pmc/articles/PMC9647704/ /pubmed/36386876 http://dx.doi.org/10.1016/j.xpro.2022.101827 Text en © 2022 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Protocol
Ji, Fei
Van Rechem, Capucine
Whetstine, Johnathan R.
Sadreyev, Ruslan I.
Computational workflow for integrative analyses of DNA replication timing, epigenomic, and transcriptomic data
title Computational workflow for integrative analyses of DNA replication timing, epigenomic, and transcriptomic data
title_full Computational workflow for integrative analyses of DNA replication timing, epigenomic, and transcriptomic data
title_fullStr Computational workflow for integrative analyses of DNA replication timing, epigenomic, and transcriptomic data
title_full_unstemmed Computational workflow for integrative analyses of DNA replication timing, epigenomic, and transcriptomic data
title_short Computational workflow for integrative analyses of DNA replication timing, epigenomic, and transcriptomic data
title_sort computational workflow for integrative analyses of dna replication timing, epigenomic, and transcriptomic data
topic Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9647704/
https://www.ncbi.nlm.nih.gov/pubmed/36386876
http://dx.doi.org/10.1016/j.xpro.2022.101827
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