An experimentally validated network of nine haematopoietic transcription factors reveals mechanisms of cell state stability

Transcription factor (TF) networks determine cell-type identity by establishing and maintaining lineage-specific expression profiles, yet reconstruction of mammalian regulatory network models has been hampered by a lack of comprehensive functional validation of regulatory interactions. Here, we repo...

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Bibliographic Details
Main Authors: Judith Schütte, Huange Wang, Stella Antoniou, Andrew Jarratt, Nicola K Wilson, Joey Riepsaame, Fernando J Calero-Nieto, Victoria Moignard, Silvia Basilico, Sarah J Kinston, Rebecca L Hannah, Mun Chiang Chan, Sylvia T Nürnberg, Willem H Ouwehand, Nicola Bonzanni, Marella FTR de Bruijn, Berthold Göttgens
Format: Article
Language:English
Published: eLife Sciences Publications Ltd 2016-02-01
Series:eLife
Subjects:
Online Access:https://elifesciences.org/articles/11469
Description
Summary:Transcription factor (TF) networks determine cell-type identity by establishing and maintaining lineage-specific expression profiles, yet reconstruction of mammalian regulatory network models has been hampered by a lack of comprehensive functional validation of regulatory interactions. Here, we report comprehensive ChIP-Seq, transgenic and reporter gene experimental data that have allowed us to construct an experimentally validated regulatory network model for haematopoietic stem/progenitor cells (HSPCs). Model simulation coupled with subsequent experimental validation using single cell expression profiling revealed potential mechanisms for cell state stabilisation, and also how a leukaemogenic TF fusion protein perturbs key HSPC regulators. The approach presented here should help to improve our understanding of both normal physiological and disease processes.
ISSN:2050-084X