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Updated: May 31, 2026
09:23
Quantification of Information Encoded by Gene Expression Levels During Lifespan Modulation Under Broad-range Dietary Restriction in C. elegans
Published on: August 16, 2017
Mapping gene expression dynamics to developmental phenotypes with information entropy analysis
Ben Ansbacher1, Malachy Guzman1,2, Jordi Garcia-Ojalvo3
1Department of Physics and Astronomy, Carleton College, Northfield, MN, USA.
NPJ Systems Biology and Applications
|May 28, 2026
Summary
This study uses information theory to analyze fruit fly development, revealing that gene expression dynamics probabilistically guide embryonic stages. The findings suggest irreversibility in information complexity, correlating with developmental progression.
Area of Science:
- Developmental Biology
- Systems Biology
- Information Theory
Background:
- Multicellular development links subcellular biochemical processes to macroscopic phenotypes.
- Understanding genotype-phenotype mapping is a key biological challenge.
- Statistical mechanics can model developmental processes.
Purpose of the Study:
- To apply information-theoretic measures to understand gene expression dynamics during embryonic development.
- To investigate the relationship between microscopic molecular processes and macroscopic phenotypes.
- To develop a statistical mechanics framework for developmental biology.
Main Methods:
- Analysis of public transcriptomics datasets from Drosophila melanogaster embryos.
- Application of information-theoretic measures, including permutation entropy of indexed ensembles (PI entropy).
- Correlation analysis between gene expression dynamics and developmental stages.
Main Results:
- Global temporal dynamics of gene expression probabilistically guide embryonic development.
- Signatures of irreversibility were detected in the information complexity of transcriptomic dynamics.
- The dynamics of PI entropy strongly correlate with distinct developmental stages.
Conclusions:
- Information complexity analysis provides a framework for linking biomarker statistical mechanics to developmental dynamics.
- Transcriptomic dynamics exhibit characteristics of an irreversible process during development.
- This approach offers insights into the statistical mechanics of biological development.
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