Decoding the regulatory network of early blood development from single-cell gene expression measurements

Item Type:	Article
Title:	Decoding the regulatory network of early blood development from single-cell gene expression measurements
Creators Name:	Moignard, V. and Woodhouse, S. and Haghverdi, L. and Lilly, A.J. and Tanaka, Y. and Wilkinson, A.C. and Buettner, F. and Macaulay, I.C. and Jawaid, W. and Diamanti, E. and Nishikawa, S.I. and Piterman, N. and Kouskoff, V. and Theis, F.J. and Fisher, J. and Göttgens, B.
Abstract:	Reconstruction of the molecular pathways controlling organ development has been hampered by a lack of methods to resolve embryonic progenitor cells. Here we describe a strategy to address this problem that combines gene expression profiling of large numbers of single cells with data analysis based on diffusion maps for dimensionality reduction and network synthesis from state transition graphs. Applying the approach to hematopoietic development in the mouse embryo, we map the progression of mesoderm toward blood using single-cell gene expression analysis of 3,934 cells with blood-forming potential captured at four time points between E7.0 and E8.5. Transitions between individual cellular states are then used as input to develop a single-cell network synthesis toolkit to generate a computationally executable transcriptional regulatory network model of blood development. Several model predictions concerning the roles of Sox and Hox factors are validated experimentally. Our results demonstrate that single-cell analysis of a developing organ coupled with computational approaches can reveal the transcriptional programs that underpin organogenesis.
Keywords:	Base Sequence, Blood Cells, Computer Simulation, Diffusion, Gastrulation, Gene Expression Profiling, Gene Expression Regulation, Genetic Models, Gene Regulatory Networks, Genetic Transcription, Molecular Sequence Data, Single-Cell Analysis, Animals, Mice
Source:	Nature Biotechnology
ISSN:	1087-0156
Publisher:	Nature Publishing Group
Volume:	33
Number:	3
Page Range:	269-276
Date:	March 2015
Official Publication:	https://doi.org/10.1038/nbt.3154
PubMed:	View item in PubMed

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