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• W1597932493 abstract "Biochemical reaction networks consisting of coupled enzymes connect substrate signaling events with biological function. Substrates involved in these reactions can be strongly influenced by diffusion barriers arising from impenetrable cellular structures and macromolecules, as well as interactions with biomolecules, especially within crowded environments. For diffusion-influenced reactions, the spatial organization of diffusion barriers arising from intracellular structures, non-specific crowders, and specific-binders (buffers) strongly controls the temporal and spatial reaction kinetics. In this study, we use two prototypical biochemical reactions, a Goodwin oscillator, and a reaction with a periodic source/sink term to examine how a diffusion barrier that partitions substrates controls reaction behavior. Namely, we examine how conditions representative of a densely packed cytosol, including reduced accessible volume fraction, non-specific interactions, and buffers, impede diffusion over nanometer length-scales. We find that diffusion barriers can modulate the frequencies and amplitudes of coupled diffusion-influenced reaction networks, as well as give rise to compartments of decoupled reactant populations. These effects appear to be intensified in the presence of buffers localized to the diffusion barrier. These findings have strong implications for the role of the cellular environment in tuning the dynamics of signaling pathways." @default.
• W1597932493 created "2016-06-24" @default.
• W1597932493 creator A5009133516 @default.
• W1597932493 creator A5015837947 @default.
• W1597932493 creator A5050700234 @default.
• W1597932493 date "2015-09-01" @default.
• W1597932493 modified "2023-10-13" @default.
• W1597932493 title "Enzyme localization, crowding, and buffers collectively modulate diffusion-influenced signal transduction: Insights from continuum diffusion modeling" @default.
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• W1597932493 doi "https://doi.org/10.1063/1.4929528" @default.
• W1597932493 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/4560719" @default.
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• W1597932493 hasPublicationYear "2015" @default.
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