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Quantification of Information Encoded by Gene Expression Levels During Lifespan Modulation Under Broad-range Dietary Restriction in C. elegans

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Mutual information in time-varying biochemical systems.

Filipe Tostevin¹, Pieter Rein ten Wolde

¹FOM Institute AMOLF, Science Park 104, 1098XG Amsterdam, The Netherlands. f.tostevin@amolf.nl

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics

|September 28, 2010

Summary

Biochemical signaling networks transmit environmental signals despite inherent noise. Information theory reveals that reaction event timing, not output correlation, dictates trajectory signal reliability, impacting overall cascade performance.

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Area of Science:

Biophysics
Systems Biology
Biochemical Engineering

Background:

Cells rely on biochemical signaling networks to respond to environmental changes.
These networks are susceptible to noise, limiting intracellular signal transmission reliability.
Understanding signal fidelity in noisy biological systems is crucial.

Purpose of the Study:

To quantify the reliability of time-varying signal transmission through biochemical reactions using information theory.
To analyze how noise affects the transmission of instantaneous signals versus signal trajectories.
To investigate the impact of detector type and network architecture on signal fidelity.

Main Methods:

Utilized information theory to calculate mutual information for instantaneous measurements and trajectories.
Employed a Gaussian model for biochemical systems.
Analyzed frequency-dependent coherence and gain-to-noise ratio for signal transmission across different time scales.

Main Results:

Signal transmission characteristics differ significantly between instantaneous measurements and trajectories.
Trajectory signal reliability depends on reaction event timing, independent of output correlation time.
Non-absorbing detectors excel at transmitting slow signals; absorbing detectors are better for fast signals.
The relative performance of individual reactions can change within a signaling cascade.

Conclusions:

Network architecture and reaction kinetics critically influence signal fidelity in noisy cellular environments.
Optimizing individual reaction steps may not improve overall cascade signaling performance.
The timing of biochemical events is a key determinant of reliable information processing in cells.