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Modeling Gene Networks to Understand Multistability in Stem Cells

Methods Mol Biol. 2019-07; 
David Menn, Xiao Wang
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Gene Synthesis The inserts were generated using PCR or gBlock synthesis (IDT) and were annealed by Gibson assembly with backbones that are linearized using restriction digestion. The rest of the constructs were designed by the authors and synthesized by GenScript Get A Quote

摘要

Stem cells are unique in their ability to differentiate into diverse phenotypes capable of displaying radically different, yet stable, gene expression profiles. Understanding this multistable behavior is key to rationally influencing stem cell differentiation for both research and therapeutic purposes. To this end, mathematical paradigms have been adopted to simulate and explain the dynamics of complex gene networks. In this chapter, we introduce strategies for building deterministic and stochastic mathematical models of gene expression and demonstrate how analysis of these models can benefit our understanding of complex observed behaviors. Developing a mathematical understanding of biological processes is of u... More

关键词

Differential equations, Modeling, Network topology, Parameterization, Stochasticity, Synthetic biology