Abstract 2015 Dissecting the Nonlinear Circuit Structure of Phosphoinositide Signaling Networks

Understanding how a small number of phosphoinositide lipids broadly impact membrane dynamics, signal transduction, and cellular physiology remains an open question. Our recent studies in antigen-stimulated mast cells, a secretory cell type in the innate and adaptive immune system, have uncovered diverse dynamical phenomena in phosphoinositide signaling, including excitability, oscillations, periodic traveling waves, and mixed-mode oscillations-a precursor to chaotic behavior. These emergent properties stem from the nonlinear organization of phosphoinositide metabolism, emphasizing how small changes in kinetic parameters can drive rapid cellular transitions between distinct states.

Authors

Publication Details

Journal
Journal of Biological Chemistry
Published
2025-05-01
DOI
https://doi.org/10.1016/j.jbc.2025.109416
Primary Topic
Machine Learning in Bioinformatics
Type
article
Field-Weighted Citation Impact
0.00

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article

Abstract 2015 Dissecting the Nonlinear Circuit Structure of Phosphoinositide Signaling Networks

Xiaojia Xu, Chee San Tong, Sarah Fung, Xiong Ding et al.
Journal of Biological Chemistry
Machine Learning in Bioinformatics
article

Abstract 2015 Dissecting the Nonlinear Circuit Structure of Phosphoinositide Signaling Networks

Xiaojia Xu, Chee San Tong, Sarah Fung, Xiong Ding, Min Wu
article en

Abstract

Understanding how a small number of phosphoinositide lipids broadly impact membrane dynamics, signal transduction, and cellular physiology remains an open question. Our recent studies in antigen-stimulated mast cells, a secretory cell type in the innate and adaptive immune system, have uncovered diverse dynamical phenomena in phosphoinositide signaling, including excitability, oscillations, periodic traveling waves, and mixed-mode oscillations-a precursor to chaotic behavior. These emergent properties stem from the nonlinear organization of phosphoinositide metabolism, emphasizing how small changes in kinetic parameters can drive rapid cellular transitions between distinct states.

Journal of Biological ChemistryVol. 301(5)
Yale University, National Institutes of Health, National Institute of General Medical Sciences
Openalex Percentile: Top 88%
Machine Learning in Bioinformatics
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Abstract 2015 Dissecting the Nonlinear Circuit Structure of Phosphoinositide Signaling Networks — Xiaojia Xu, Chee San Tong, et al. · Journal of Biological Chemistry (2025) | TGRS Research Map | TGRS