Cargando…

Multiomics data integration to reveal chromatin remodeling and reorganization induced by gene mutational synergy

Recurrent gene mutations often cooperate in a predefined stepwise and synergistic manner to alter global transcription, through directly or indirectly remodeling epigenetic landscape on linear and three-dimensional (3D) scales. Here, we present a multiomics data integration approach to investigate t...

Descripción completa

Detalles Bibliográficos
Autores principales: Yun, Haiyang, Vohra, Shabana, Lara-Astiaso, David, Huntly, Brian J.P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9579702/
https://www.ncbi.nlm.nih.gov/pubmed/36242770
http://dx.doi.org/10.1016/j.xpro.2022.101770
_version_ 1784812240038264832
author Yun, Haiyang
Vohra, Shabana
Lara-Astiaso, David
Huntly, Brian J.P.
author_facet Yun, Haiyang
Vohra, Shabana
Lara-Astiaso, David
Huntly, Brian J.P.
author_sort Yun, Haiyang
collection PubMed
description Recurrent gene mutations often cooperate in a predefined stepwise and synergistic manner to alter global transcription, through directly or indirectly remodeling epigenetic landscape on linear and three-dimensional (3D) scales. Here, we present a multiomics data integration approach to investigate the impact of gene mutational synergy on transcription, chromatin states, and 3D chromatin organization in a murine leukemia model. This protocol provides an executable framework to study epigenetic remodeling induced by cooperating gene mutations and to identify the critical regulatory network involved. For complete details on the use and execution of this protocol, please refer to Yun et al. (2021).
format Online
Article
Text
id pubmed-9579702
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-95797022022-10-20 Multiomics data integration to reveal chromatin remodeling and reorganization induced by gene mutational synergy Yun, Haiyang Vohra, Shabana Lara-Astiaso, David Huntly, Brian J.P. STAR Protoc Protocol Recurrent gene mutations often cooperate in a predefined stepwise and synergistic manner to alter global transcription, through directly or indirectly remodeling epigenetic landscape on linear and three-dimensional (3D) scales. Here, we present a multiomics data integration approach to investigate the impact of gene mutational synergy on transcription, chromatin states, and 3D chromatin organization in a murine leukemia model. This protocol provides an executable framework to study epigenetic remodeling induced by cooperating gene mutations and to identify the critical regulatory network involved. For complete details on the use and execution of this protocol, please refer to Yun et al. (2021). Elsevier 2022-10-14 /pmc/articles/PMC9579702/ /pubmed/36242770 http://dx.doi.org/10.1016/j.xpro.2022.101770 Text en © 2022 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Protocol
Yun, Haiyang
Vohra, Shabana
Lara-Astiaso, David
Huntly, Brian J.P.
Multiomics data integration to reveal chromatin remodeling and reorganization induced by gene mutational synergy
title Multiomics data integration to reveal chromatin remodeling and reorganization induced by gene mutational synergy
title_full Multiomics data integration to reveal chromatin remodeling and reorganization induced by gene mutational synergy
title_fullStr Multiomics data integration to reveal chromatin remodeling and reorganization induced by gene mutational synergy
title_full_unstemmed Multiomics data integration to reveal chromatin remodeling and reorganization induced by gene mutational synergy
title_short Multiomics data integration to reveal chromatin remodeling and reorganization induced by gene mutational synergy
title_sort multiomics data integration to reveal chromatin remodeling and reorganization induced by gene mutational synergy
topic Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9579702/
https://www.ncbi.nlm.nih.gov/pubmed/36242770
http://dx.doi.org/10.1016/j.xpro.2022.101770
work_keys_str_mv AT yunhaiyang multiomicsdataintegrationtorevealchromatinremodelingandreorganizationinducedbygenemutationalsynergy
AT vohrashabana multiomicsdataintegrationtorevealchromatinremodelingandreorganizationinducedbygenemutationalsynergy
AT laraastiasodavid multiomicsdataintegrationtorevealchromatinremodelingandreorganizationinducedbygenemutationalsynergy
AT huntlybrianjp multiomicsdataintegrationtorevealchromatinremodelingandreorganizationinducedbygenemutationalsynergy