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Related Experiment Video

Updated: Aug 16, 2025

Investigation of Microbial Cooperation via Imaging Mass Spectrometry Analysis of Bacterial Colonies Grown on Agar and in Tissue During Infection

Investigation of Microbial Cooperation via Imaging Mass Spectrometry Analysis of Bacterial Colonies Grown on Agar and in Tissue During Infection

Published on: November 18, 2022

Chaotic signatures in host-microbe interactions.

Yehonatan Sella¹, Nichole A Broderick², Kaitlin Stouffer³

¹Department of Systems and Computational Biology, Albert Einstein College of Medicine,1301 Morris Park Ave, Bronx, NY 10461, USA.

Biorxiv : the Preprint Server for Biology

|December 23, 2022

Summary

This summary is machine-generated.

Researchers explored chaotic dynamics in host-microbe interactions using time-to-death data. Preliminary findings suggest chaotic signatures in model organisms, potentially impacting infectious disease understanding and experimental reproducibility.

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Last Updated: Aug 16, 2025

Investigation of Microbial Cooperation via Imaging Mass Spectrometry Analysis of Bacterial Colonies Grown on Agar and in Tissue During Infection

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Published on: November 18, 2022

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Published on: March 5, 2022

A Comparative Approach to Characterize the Landscape of Host-Pathogen Protein-Protein Interactions

A Comparative Approach to Characterize the Landscape of Host-Pathogen Protein-Protein Interactions

Published on: July 18, 2013

Area of Science:

Ecology and Evolutionary Biology
Microbiology
Complex Systems

Background:

Host-microbe interactions are complex dynamical systems, crucial for understanding infectious diseases.
Characterizing the dynamics (deterministic, stochastic, chaotic) of these interactions is essential but experimentally challenging.
Time-to-death data is a common experimental outcome, yet internal dynamics remain hidden.

Conclusions:

Time-to-death data may contain information about underlying chaotic dynamics in host-microbe systems.
The findings suggest that chaos could play a role in host-microbe interactions, with implications for disease dynamics.
Further research with enhanced datasets is required to validate the presence and impact of chaos in microbial pathogenesis.