Workflow summary: GRN motif, cell signaling model, and inference framework.

<p><b>[A]</b> The developing ICM is represented by a static spatial lattice of biochemical reaction volumes (cells) coupled via FGF4, which mimics a monolayer or 2D cellular culture. Each cell contains a core gene-regulatory network (GRN) featuring mutual repression between the gen...

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Bibliographic Details
Main Author:	Michael Alexander Ramirez Sierra (20209354) (author)
Other Authors:	Thomas R. Sokolowski (20209357) (author)
Published:	2024
Subjects:	Cell Biology Genetics Developmental Biology Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Information Systems not elsewhere classified xlink "> understanding specific time window providing quantitative predictions identify parameter sets enabling lineage proportions early mammalian development biophysically realistic fashion intracellular initial conditions driven simulation techniques reproducible icm patterning pre lineage proportions level differentiation arises intracellular gene expression inner cell mass ensures correct epi type icm systems stochastic simulation framework stochastic systems necessary conditions high gene expression heterogeneity stochastic description powered simulation icm specification icm exhibits work offers surprising role seemingly cell robust unfolding remains robust reducing fate purely cell proportioning errors primitive endoderm mouse embryogenesis intercellular signaling inherent stochasticity future exploration fgf4 signaling fate proportioning fate decisions exogenous fgf4 efficiently simulating developmental biology combined action central challenge blastocyst stage based inference autonomous system autonomous mechanisms also provides advancing event adjusted based achieve robust
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Workflow summary: GRN motif, cell signaling model, and inference framework.

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