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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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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). |
format | Online Article Text |
id | pubmed-9647704 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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