Unknown

Dataset Information

0

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


ABSTRACT: 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.

SUBMITTER: Schutte J 

PROVIDER: S-EPMC4798972 | biostudies-literature | 2016 Feb

REPOSITORIES: biostudies-literature

altmetric image

Publications


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 cell  ...[more]

Similar Datasets

2016-03-17 | E-GEOD-69776 | biostudies-arrayexpress
| S-EPMC3965012 | biostudies-literature
2016-03-17 | GSE69776 | GEO
| S-EPMC7737608 | biostudies-literature
| S-EPMC4730238 | biostudies-literature
| S-EPMC3554673 | biostudies-literature
| S-EPMC5177769 | biostudies-literature
| S-EPMC4668776 | biostudies-literature
| S-EPMC4308699 | biostudies-other
| S-EPMC5753222 | biostudies-literature