Special Issue "Stochastics in Epigenetics"
Deadline for manuscript submissions: closed (30 September 2021).
Interests: statistics; multivariate modeling; epigenetics; data integration; bioinformatics; methylation; genomics
Interests: DNA methylation; chromatin epigenetics; regulation of skeletal muscle development; cancer epigenetics
Special Issues and Collections in MDPI journals
Superimposed on orderly, genetically programmed epigenetic changes associated with differentiation and certain physiological states are well-documented stochastic changes in epigenetics at the level of individual chromosomes. Models have been proposed to characterize sources of random variation not only in DNA methylation, but also in histone modifications and other aspects of chromatin epigenetics. For example, the accumulation of stochastic epigenetic mutations (SEM) involving DNA methylation change is a marker of chronological aging and is also associated with various other conditions, including cancer and preterm birth. The influence of both intra- and inter-organismal stochastic variation is often overlooked in the analysis and interpretation of epigenetic data and studies of transcription and phenotypic change.
The purpose of the issue “Stochastics in Epigenetics” is to provide an integrated view of the challenges presented by stochastic variation for epigenetic research, to highlight recent developments from both experimental and analytical perspectives and to provide insights into the biological consequences of SEM.
Dr. Michelle Lacey
Prof. Dr. Melanie Ehrlich
Manuscript Submission Information
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- DNA methylation
- histone modification
- stochastic process
- phenotype switching
- methylation heterogeneity
- epigenetic polymorphism
- stochastic epigenetic mutations