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3DCoop: An approach for computational inference of cell-type-specific transcriptional regulators cooperation in 3D chromatin
Precise identification of context-specific transcriptional regulators (TRs) cooperation facilitates the understanding of complex gene regulation. However, previous methods are highly reliant on the availability of ChIPped TRs. Here, we provide a protocol for running 3DCoop, a pipeline for 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/PMC9114683/ https://www.ncbi.nlm.nih.gov/pubmed/35600920 http://dx.doi.org/10.1016/j.xpro.2022.101382 |
_version_ | 1784709833264463872 |
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author | Yi, Xianfu Luo, Menghan Feng, Xiangling Zhou, Yao Wang, Jianhua Li, Mulin Jun |
author_facet | Yi, Xianfu Luo, Menghan Feng, Xiangling Zhou, Yao Wang, Jianhua Li, Mulin Jun |
author_sort | Yi, Xianfu |
collection | PubMed |
description | Precise identification of context-specific transcriptional regulators (TRs) cooperation facilitates the understanding of complex gene regulation. However, previous methods are highly reliant on the availability of ChIPped TRs. Here, we provide a protocol for running 3DCoop, a pipeline for computational inference of cell type-specific TR cooperation in 3D chromatin by integrating TR motifs, open chromatin profiles, gene expression, and chromatin loops. 3DCoop provides a feasible solution to study the potential interplay among TRs across multiple human or mouse tissue/cell types. For complete details on the use and execution of this protocol, please refer to Yi et al. (2021). |
format | Online Article Text |
id | pubmed-9114683 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-91146832022-05-19 3DCoop: An approach for computational inference of cell-type-specific transcriptional regulators cooperation in 3D chromatin Yi, Xianfu Luo, Menghan Feng, Xiangling Zhou, Yao Wang, Jianhua Li, Mulin Jun STAR Protoc Protocol Precise identification of context-specific transcriptional regulators (TRs) cooperation facilitates the understanding of complex gene regulation. However, previous methods are highly reliant on the availability of ChIPped TRs. Here, we provide a protocol for running 3DCoop, a pipeline for computational inference of cell type-specific TR cooperation in 3D chromatin by integrating TR motifs, open chromatin profiles, gene expression, and chromatin loops. 3DCoop provides a feasible solution to study the potential interplay among TRs across multiple human or mouse tissue/cell types. For complete details on the use and execution of this protocol, please refer to Yi et al. (2021). Elsevier 2022-05-11 /pmc/articles/PMC9114683/ /pubmed/35600920 http://dx.doi.org/10.1016/j.xpro.2022.101382 Text en © 2022 The Author(s) 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 Yi, Xianfu Luo, Menghan Feng, Xiangling Zhou, Yao Wang, Jianhua Li, Mulin Jun 3DCoop: An approach for computational inference of cell-type-specific transcriptional regulators cooperation in 3D chromatin |
title | 3DCoop: An approach for computational inference of cell-type-specific transcriptional regulators cooperation in 3D chromatin |
title_full | 3DCoop: An approach for computational inference of cell-type-specific transcriptional regulators cooperation in 3D chromatin |
title_fullStr | 3DCoop: An approach for computational inference of cell-type-specific transcriptional regulators cooperation in 3D chromatin |
title_full_unstemmed | 3DCoop: An approach for computational inference of cell-type-specific transcriptional regulators cooperation in 3D chromatin |
title_short | 3DCoop: An approach for computational inference of cell-type-specific transcriptional regulators cooperation in 3D chromatin |
title_sort | 3dcoop: an approach for computational inference of cell-type-specific transcriptional regulators cooperation in 3d chromatin |
topic | Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9114683/ https://www.ncbi.nlm.nih.gov/pubmed/35600920 http://dx.doi.org/10.1016/j.xpro.2022.101382 |
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