Stem cell self-renewal and differentiation regulate tissue homeostasis. We will develop a mathematical model to elucidate how key regulators of stem cell self-renewal, namely Wnt and Hippo signaling networks, influence cell commitment for differentiation. We have high-resolution and high-throughput datasets describing functional (intracellular calcium release, [Ca2+]i) and genomic (ChIP-seq, RNA-seq) characteristics in human cells. The motivation for this project is to integrate the genomic and functional biological parameters in a lattice based model. This will allow us to predict 1. how perturbations to these signaling networks interfere with the tissue structure and 2. how that can lead to disease.
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