| Autor: |
Briffa A; Department of Computational and Systems Biology, John Innes Centre, Norwich Research Park, Norwich, United Kingdom; email: martin.howard@jic.ac.uk.; Epigenetics Programme, Babraham Institute, Cambridge, United Kingdom., Menon G; Department of Computational and Systems Biology, John Innes Centre, Norwich Research Park, Norwich, United Kingdom; email: martin.howard@jic.ac.uk., Movilla Miangolarra A; Department of Computational and Systems Biology, John Innes Centre, Norwich Research Park, Norwich, United Kingdom; email: martin.howard@jic.ac.uk., Howard M; Department of Computational and Systems Biology, John Innes Centre, Norwich Research Park, Norwich, United Kingdom; email: martin.howard@jic.ac.uk. |
| Abstrakt: |
Understanding the mechanistic basis of epigenetic memory has proven to be a difficult task due to the underlying complexity of the systems involved in its establishment and maintenance. Here, we review the role of computational modeling in helping to unlock this complexity, allowing the dissection of intricate feedback dynamics. We focus on three forms of epigenetic memory encoded in gene regulatory networks, DNA methylation, and histone modifications and discuss the important advantages offered by plant systems in their dissection. We summarize the main modeling approaches involved and highlight the principal conceptual advances that the modeling has enabled through iterative cycles of predictive modeling and experiments. Lastly, we discuss remaining gaps in our understanding and how intertwined theory and experimental approaches might help in their resolution. |
