A5013027337- Epigenetics and DNA Methylation
- Stochastic processes and statistical mechanics
- RNA modifications and cancer
- Cancer-related gene regulation
- Genetics and Neurodevelopmental Disorders
- Geometric Analysis and Curvature Flows
- Coagulation and Flocculation Studies
- Genomics and Chromatin Dynamics
- Geometry and complex manifolds
- Genetic Syndromes and Imprinting
- Navier-Stokes equation solutions
- Aquatic and Environmental Studies
University of Edinburgh
2021-2024
Institute of Genetics and Cancer
2021-2024
University of Strathclyde
2020-2024
Abstract The correct establishment of DNA methylation patterns is vital for mammalian development and achieved by the de novo methyltransferases DNMT3A DNMT3B. DNMT3B localises to H3K36me3 at actively transcribing gene bodies via its PWWP domain. It also functions heterochromatin through an unknown recruitment mechanism. Here, we find that knockout causes loss predominantly H3K9me3-marked domain mutations or deletion result in striking increases heterochromatin. Removal N-terminal region...
Abstract Background DNA methylation is an epigenetic mark associated with the repression of gene promoters. Its pattern in genome disrupted age and these changes can be used to statistically predict clocks. Altered rates aging inferred from clocks are observed human disease. However, molecular mechanisms underpinning age-associated remain unknown. Local sequence program steady-state levels, but how it influences Results We analyze longitudinal trajectories at 345,895 CpGs 600 individuals...
High-throughput sequencing technology is central to our current understanding of the human methylome. The vast majority studies use chemical conversion analyse bulk-level patterns DNA methylation across genome from a population cells. While this has been used probe single-molecule patterns, such analyses are limited short reads few hundred basepairs. can also be directly detected using Nanopore which generate measuring megabases in length. However, thus far these have largely focused on...
Abstract High-throughput sequencing technology is central to our current understanding of the human methylome. The vast majority studies use chemical conversion analyse bulk-level patterns DNA methylation across genome from a population cells. While this has been used probe single-molecule patterns, such analyses are limited short reads few hundred basepairs. can also be directly detected using Nanopore which generate measuring megabases in length. However, thus far these have largely...
Abstract The correct establishment of DNA methylation patterns is vital for mammalian development and achieved largely by the de novo methyltransferases DNMT3A DNMT3B. Mutations in DNMT3B can cause immunodeficiency-centromeric instability-facial anomalies type 1 (ICF1) syndrome which characterised hypomethylated heterochromatin. However, genome, primarily localises to actively transcribing gene bodies through interaction its PWWP domain with histone modification H3K36me3 it unclear how...
Abstract We investigate an infinite, linear system of ordinary differential equations that models the evolution fragmenting clusters. assume each cluster is composed identical units (monomers), and we allow mass to be lost, gained or conserved during fragmentation event. By formulating initial-value problem for as abstract Cauchy (ACP), posed in appropriate weighted $$\ell ^1$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msup> <mml:mi>ℓ</mml:mi> <mml:mn>1</mml:mn>...
The accurate establishment and maintenance of DNA methylation patterns is vital for mammalian development disruption to these processes causes human disease. Our understanding mechanisms has been facilitated by mathematical modelling, particularly stochastic simulations. Megabase-scale variation in observed development, cancer ageing the generating are little understood. However, computational cost simulations prevents them from modelling such large genomic regions. Here, we test utility...
We examine an infinite, linear system of ordinary differential equations that models the evolution fragmenting clusters, where each cluster is assumed to be composed identical units. In contrast previous investigations into such discrete-size fragmentation models, we allow coefficients vary with time. By formulating initial-value problem for as a non-autonomous abstract Cauchy problem, posed in appropriately weighted $ \ell^1 space, and then applying results from theory families, prove...
We examine an infinite, linear system of ordinary differential equations that models the evolution fragmenting clusters, where each cluster is assumed to be composed identical units. In contrast previous investigations into such discrete-size fragmentation models, we allow coefficients vary with time. By formulating initial-value problem for as a non-autonomous abstract Cauchy problem, posed in appropriately weighted $\ell^1$ space, and then applying results from theory families, prove...
Abstract The accurate establishment and maintenance of DNA methylation patterns is vital for mammalian development disruption to these processes causes human disease. Our understanding mechanisms has been facilitated by mathematical modelling, particularly stochastic simulations. Mega-base scale variation in observed development, cancer ageing the generating are little understood. However, computational cost simulations prevents them from modelling such large genomic regions. Here we test...