DevelopmentDevelopmental BiologyPeer-reviewed journal article
Generative model for the first cell fate bifurcation inmammalian development
Maria AvdeevaiD, Madeleine ChalifouxiD, Bradley W. JoyceiD, Stanislav Y. ShvartsmaniD, Eszter PósfaiiD
Abstract
The first cell fate bifurcation in mammalian development directs cells toward either the trophectoderm (TE) or inner cell mass (ICM) compartments in preimplantation embryos. This decision is regulated by the subcellular localization of a transcriptional co-activator YAP and takes place over several progressively asyn-chronous cleavage divisions. As a result of this asynchrony and variable arrangement of blastomeres, reconstructing the dynamics of the TE/ICM cell specification from fixed embryos is extremely challenging. To address this, we developed a live imaging approach and applied it to measure pairwise dynamics of nuclear YAP and its direct target genes, CDX2 and SOX2, key transcription factors of TE and ICM, respectively. Using these datasets, we constructed a generative model of the first cell fate bifurcation, which reveals the time-dependent statistics of the TE and ICM cell allocation. In addition to making testable predictions for the joint dynamics of the full YAP/CDX2/SOX2 motif, the model revealed the stochastic nature of the induction timing of the key cell fate determinants and identified the features of YAP dynamics that are necessary or sufficient for this induction. Notably, temporal heterogeneity was particularly prominent for SOX2 expression among ICM cells. As heterogeneities within the ICM have been linked to the initiation of the second cell fate decision in the embryo, understanding the origins of this variability is of key significance. The presented approach reveals the dynamics of the first cell fate choice and lays the groundwork for dissecting the next cell fate bifurcations in mouse development.
- organism: mouse
- assay: imaging
- research focus: gene regulatory network inference
- research focus: differential expression
- research focus: trajectory inference
- research focus: cell type annotation
- approach: statistical model
- Citations
- 4
- FWCI
- 1.20
- Field percentile
- top 23%
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