Distinct cellular states determine calcium signaling response
Jason Yao; Anna Pilko; Roy Wollman · 2016 · Molecular Systems Biology
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
The heterogeneity in mammalian cells signaling response is largely a result of pre-existing cell-to-cell variability. It is unknown whether cell-to-cell variability rises from biochemical stochastic fluctuations or distinct cellular states. Here, we utilize calcium response to adenosine trisphosphate as a model for investigating the structure of heterogeneity within a population of cells and analyze whether distinct cellular response states coexist. We use a functional definition of cellular state that is based on a mechanistic dynamical systems model of calcium signaling. Using Bayesian param
Abstract by Jason Yao; Anna Pilko; Roy Wollman, Molecular Systems Biology (2016) — licensed CC BY 4.0.
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Metadata source: OpenAlex · DOI 10.15252/msb.20167137