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Updated: Jun 23, 2026

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
Published on: October 19, 2021
Deciphering signaling outcomes from a system of complex networks
Robert C Hsueh1, Madhusudan Natarajan, Iain Fraser
1University of Texas Southwestern Medical Center, Dallas, TX 75390-9041, USA.
Abstract:
Cellular signal transduction machinery integrates information from multiple inputs to actuate discrete cellular behaviors. Interaction complexity exists when an input modulates the output behavior that results from other inputs. To address whether this machinery is iteratively complex--that is, whether increasing numbers of inputs produce exponential increases in discrete cellular behaviors--we examined the modulated secretion of six cytokines from macrophages in response to up to five-way combinations of an agonist of Toll-like receptor 4, three cytokines, and conditions that activated the cyclic adenosine monophosphate pathway. Although all of the selected ligands showed synergy in paired combinations, few examples of nonadditive outputs were found in response to higher-order combinations. This suggests that most potential interactions are not realized and that unique cellular responses are limited to discrete subsets of ligands and pathways that enhance specific cellular functions.
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