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• W2890211633 startingPage "e0203759" @default.
• W2890211633 abstract "Cell response to extracellular ligand is affected not only by ligand availability, but also by pre-existing cell-to-cell variability that enables a range of responses within a cell population. We developed a computational model that incorporates cell heterogeneity in order to investigate Jurkat T cell response to time dependent extracellular IL-2 stimulation. Our model predicted preferred timing of IL-2 oscillatory input for maximizing downstream intracellular STAT5 nuclear translocation. The modeled cytokine exposure was replicated experimentally through the use of a microfluidic platform that enabled the parallelized capture of dynamic single cell response to precisely delivered pulses of IL-2 stimulus. The in vitro results demonstrate that single cell response profiles vary with pulsatile IL-2 input at pre-equilibrium levels. These observations confirmed our model predictions that Jurkat cells have a preferred range of extracellular IL-2 fluctuations, in which downstream response is rapidly initiated. Further investigation into this filtering behavior could increase our understanding of how pre-existing cellular states within immune cell populations enable a systems response within a preferred range of ligand fluctuations, and whether the observed cytokine range corresponds to in vivo conditions." @default.
• W2890211633 created "2018-09-27" @default.
• W2890211633 creator A5048778639 @default.
• W2890211633 creator A5071418938 @default.
• W2890211633 date "2018-09-18" @default.
• W2890211633 modified "2023-10-12" @default.
• W2890211633 title "Oscillatory IL-2 stimulus reveals pertinent signaling timescales of T cell responsiveness" @default.
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• W2890211633 doi "https://doi.org/10.1371/journal.pone.0203759" @default.
• W2890211633 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6143248" @default.
• W2890211633 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30226854" @default.
• W2890211633 hasPublicationYear "2018" @default.
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