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Published on: December 16, 2017
Understanding multimodal biological decisions from single cell and population dynamics
1Institute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata, Japan. kumar@ttck.keio.ac.jp
Summary
Cellular noise, including stochasticity and heterogeneity, drives phenotypic variation and cell fate. Living systems use nonlinear deterministic processes for multimodal biological decisions, sensitive to specific biological parameters.
Area of Science:
- Systems biology
- Molecular biology
- Cellular dynamics
Background:
- Single-cell resolution reveals stochastic gene and protein expression over time.
- Cellular populations exhibit heterogeneity in protein abundance.
- Stochasticity and heterogeneity are recognized as biological noise, crucial for phenotypic variation and cell fate decisions.
Purpose of the Study:
- To review experimental and theoretical works on multimodal biological decisions at single-cell and population levels.
- To elucidate the role of biological noise in cellular processes.
- To understand the underlying mechanisms guiding multimodal cellular decisions.
Main Methods:
- Review of existing experimental studies utilizing single-cell and single-molecule resolution techniques.
- Analysis of theoretical models investigating cellular stochasticity and heterogeneity.
- Synthesis of findings from diverse research across biological disciplines.
Main Results:
- Biological noise (stochasticity and heterogeneity) is fundamental for generating phenotypic diversity.
- Noise plays a critical role in cell fate determination and signal amplification.
- Multimodal biological decisions are governed by nonlinear deterministic processes.
Conclusions:
- Living systems employ well-defined nonlinear deterministic processes to achieve multimodal decisions.
- These processes are highly sensitive to specific ranges of biological parameters.
- Understanding these deterministic underpinnings of noise is key to deciphering cellular behavior.
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