Optimizing information transmission in optogenetic Wnt signaling.

Area of Science:

• Systems biology
• Molecular and Cellular Biology
• Synthetic Biology

Background:

• Cellular gene expression relies on signal transduction, but noise and cell variability limit reliable information processing.
• The canonical Wnt pathway is crucial for cell communication and development, making it a relevant model for studying signal transmission.

Purpose of the Study:

• To investigate how reliably information is transmitted from external signals to cell populations using optogenetic control of the Wnt pathway.
• To determine optimal encoding strategies for maximizing information transmission from Wnt signals to gene expression.

Main Methods:

• Utilized optogenetic tools to precisely control the canonical Wnt pathway in cell populations.
• Systematically varied signal encoding strategies (e.g., no Wnt, short pulse, sustained signal) and analyzed information transmission.
• Investigated the impact of varying effective noise levels on optimal encoding strategies.

Main Results:

• Achieved information capacity beyond 1 bit through discrete signal encoding (no Wnt, short pulse, sustained signal).
• Optimal encoding strategies adapt to noise levels, incorporating more discrete signals as noise decreases.
• Near-optimal information transmission is achievable without fine-tuning input signals.
• The optimal code transitions to a continuous form in the low-noise limit, consistent with the Jeffreys prior.

Conclusions:

• Optogenetic Wnt signaling enables regulatory control beyond simple binary switches, offering nuanced cellular responses.
• The study provides a framework for applying information processing principles to understand and engineer single-cell experiments.
• Discrete signal encoding is crucial for robust information transmission in cellular systems facing intrinsic noise.