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Published on: April 5, 2018
Modeling the dynamic epigenome: from histone modifications towards self-organizing chromatin.
Thimo Rohlf1, Lydia Steiner, Jens Przybilla
1Interdisciplinary Centre for Bioinformatics, University Leipzig, D-04107 Leipzig, Härtelstr. 16-18, Germany.
Epigenomics
|March 28, 2012
Summary
This review explores formal models of epigenetic regulation, focusing on histone modifications and their interplay with DNA methylation and chromatin structure. It highlights theoretical predictions for transcriptional regulation dynamics and stability.
Area of Science:
- Molecular Biology
- Systems Biology
- Genetics
Background:
- Epigenetic mechanisms are crucial for cellular state regulation.
- Formal models for epigenetic transcriptional regulation, especially involving histone modifications, are scarce despite abundant experimental data.
Purpose of the Study:
- To review recent formal modeling approaches for histone modification dynamics and propagation.
- To connect these models with experimental findings and evaluate their assumptions.
- To discuss theoretical predictions and potential extensions towards multiscale chromatin models.
Main Methods:
- Review of existing formal modeling literature on histone modifications.
- Evaluation of model assumptions regarding modifier recruitment and modification processing.
- Comparison of model-predicted stability and memory effects.
Main Results:
- Identified and assessed various formal modeling approaches for histone modification dynamics.
- Compared the stability and memory properties predicted by different models.
- Highlighted theoretical predictions requiring experimental validation.
Conclusions:
- Formal models offer valuable insights into epigenetic transcriptional regulation.
- Further development of multiscale models is needed for a comprehensive understanding of chromatin self-organization.
- Integration of modeling with experimental data is key to advancing the field.
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