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Updated: Sep 17, 2025

Reprograming Model of Human Monocyte-derived Macrophages for In-vitro Assays
Published on: April 18, 2025
Modeling heterogeneous signaling dynamics of macrophages reveals principles of information transmission in stimulus
Xiaolu Guo1,2, Adewunmi Adelaja1,2,3, Apeksha Singh1,2
1Institute for Quantitative and Computational Biosciences, University of California Los Angeles, Los Angeles, CA, USA.
Abstract:
Macrophages initiate pathogen-appropriate immune responses with the activation dynamics of transcription factor NFκB mediating specificity. Live-cell imaging revealed the stimulus-response specificity of NFκB dynamics among populations of heterogeneous cells. To study stimulus-response specificity beyond what is experimentally accessible, we develop mathematical model simulations that capture the heterogeneity of stimulus-responsive NFκB dynamics and the stimulus-response specificity performance of the population. Complementing experimental data, extended-dose response simulations improved channel capacity estimates. By collapsing parameter distributions, we locate information loss to receptor modules, while the negative-feedback-containing core module shows remarkable signaling fidelity. Further, constructing virtual single-cell networks reveals the stimulus-response specificity of single cells. We find that despite stimulus-response specificity limitations at the population level, the majority of single cells are capable of responding specifically to immune threats, and that the few instances of stimulus-pair confusion are highly uncorrelated. The diversity of blindspots enable small consortia of macrophages to achieve perfect stimulus distinction.
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