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Title: A multiscale model via single-cell transcriptomics reveals robust patterning mechanisms during early mammalian embryo development
During early mammalian embryo development, a small number of cells make robust fate decisions at particular spatial locations in a tight time window to form inner cell mass (ICM), and later epiblast (Epi) and primitive endoderm (PE). While recent single-cell transcriptomics data allows scrutinization of heterogeneity of individual cells, consistent spatial and temporal mechanisms the early embryo utilize to robustly form the Epi/PE layers from ICM remain elusive. Here we build a multiscale three-dimensional model for mammalian embryo to recapitulate the observed patterning process from zygote to late blastocyst. By integrating the spatiotemporal information reconstructed from multiple single-cell transcriptomic datasets, the data-informed modeling analysis suggests two major processes critical to the formation of Epi/PE layers: a selective cell-cell adhesion mechanism (via EphA4/EphrinB2) for fate-location coordination and a temporal attenuation mechanism of cell signaling (via Fgf). Spatial imaging data and distinct subsets of single-cell gene expression data are then used to validate the predictions. Together, our study provides a multiscale framework that incorporates single-cell gene expression datasets to analyze gene regulations, cell-cell communications, and physical interactions among cells in complex geometries at single-cell resolution, with direct application to late-stage development of embryogenesis.  more » « less
Award ID(s):
1763272
NSF-PAR ID:
10222818
Author(s) / Creator(s):
; ; ; ; ;
Editor(s):
Umulis, David
Date Published:
Journal Name:
PLOS Computational Biology
Volume:
17
Issue:
3
ISSN:
1553-7358
Page Range / eLocation ID:
e1008571
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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