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Taiji: System-level identification of key transcription factors reveals transcriptional waves in mouse embryonic development

Transcriptional regulation is pivotal to the specification of distinct cell types during embryonic development. However, it still lacks a systematic way to identify key transcription factors (TFs) orchestrating the temporal and tissue specificity of gene expression. Here, we integrated epigenomic an...

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Detalles Bibliográficos
Autores principales: Zhang, Kai, Wang, Mengchi, Zhao, Ying, Wang, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6436936/
https://www.ncbi.nlm.nih.gov/pubmed/30944857
http://dx.doi.org/10.1126/sciadv.aav3262
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author Zhang, Kai
Wang, Mengchi
Zhao, Ying
Wang, Wei
author_facet Zhang, Kai
Wang, Mengchi
Zhao, Ying
Wang, Wei
author_sort Zhang, Kai
collection PubMed
description Transcriptional regulation is pivotal to the specification of distinct cell types during embryonic development. However, it still lacks a systematic way to identify key transcription factors (TFs) orchestrating the temporal and tissue specificity of gene expression. Here, we integrated epigenomic and transcriptomic data to reveal key regulators from two cells to postnatal day 0 in mouse embryogenesis. We predicted three-dimensional chromatin interactions in 12 tissues across eight developmental stages, which facilitates linking TFs to their target genes for constructing transcriptional regulatory networks. To identify driver TFs, we developed a new algorithm, dubbed Taiji, to assess the global influence of each TF and systematically uncovered TFs critical for lineage-specific and stage-dependent tissue specification. We have also identified TF combinations that function in spatiotemporal order to form transcriptional waves regulating developmental progress. Furthermore, lacking stage-specific TF combinations suggests a distributed timing strategy to orchestrate the coordination between tissues during embryonic development.
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spelling pubmed-64369362019-04-03 Taiji: System-level identification of key transcription factors reveals transcriptional waves in mouse embryonic development Zhang, Kai Wang, Mengchi Zhao, Ying Wang, Wei Sci Adv Research Articles Transcriptional regulation is pivotal to the specification of distinct cell types during embryonic development. However, it still lacks a systematic way to identify key transcription factors (TFs) orchestrating the temporal and tissue specificity of gene expression. Here, we integrated epigenomic and transcriptomic data to reveal key regulators from two cells to postnatal day 0 in mouse embryogenesis. We predicted three-dimensional chromatin interactions in 12 tissues across eight developmental stages, which facilitates linking TFs to their target genes for constructing transcriptional regulatory networks. To identify driver TFs, we developed a new algorithm, dubbed Taiji, to assess the global influence of each TF and systematically uncovered TFs critical for lineage-specific and stage-dependent tissue specification. We have also identified TF combinations that function in spatiotemporal order to form transcriptional waves regulating developmental progress. Furthermore, lacking stage-specific TF combinations suggests a distributed timing strategy to orchestrate the coordination between tissues during embryonic development. American Association for the Advancement of Science 2019-03-27 /pmc/articles/PMC6436936/ /pubmed/30944857 http://dx.doi.org/10.1126/sciadv.aav3262 Text en Copyright © 2019 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). http://creativecommons.org/licenses/by-nc/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (http://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited.
spellingShingle Research Articles
Zhang, Kai
Wang, Mengchi
Zhao, Ying
Wang, Wei
Taiji: System-level identification of key transcription factors reveals transcriptional waves in mouse embryonic development
title Taiji: System-level identification of key transcription factors reveals transcriptional waves in mouse embryonic development
title_full Taiji: System-level identification of key transcription factors reveals transcriptional waves in mouse embryonic development
title_fullStr Taiji: System-level identification of key transcription factors reveals transcriptional waves in mouse embryonic development
title_full_unstemmed Taiji: System-level identification of key transcription factors reveals transcriptional waves in mouse embryonic development
title_short Taiji: System-level identification of key transcription factors reveals transcriptional waves in mouse embryonic development
title_sort taiji: system-level identification of key transcription factors reveals transcriptional waves in mouse embryonic development
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6436936/
https://www.ncbi.nlm.nih.gov/pubmed/30944857
http://dx.doi.org/10.1126/sciadv.aav3262
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