Results 111 to 120 of about 26,277 (245)

Benchmarking of methods for DNA methylome deconvolution

Defining the number and abundance of different cell types in tissues is important for understanding disease mechanisms as well as for diagnostic and prognostic purposes.
Bernard Thienpont, Huiwen Che, Kobe De Ridder, Kaat Leroy   +3 more
core   +1 more source

DNA methylation assessed by SMRT sequencing is linked to mutations in Neisseria meningitidis isolates [PDF]

, 2015
The Gram-negative bacterium Neisseria meningitidis features extensive genetic variability. To present, proposed virulence genotypes are also detected in isolates from asymptomatic carriers, indicating more complex mechanisms underlying variable ...
Gerd Pluschke, Christoph D. Schmid (72046), Schmid, Christoph D., Mane, Shrikant, Korlach, Jonas, Tyson A. Clark (105783), Katharina Röltgen, Wang, Guilin, Araceli Lamelas, Jonas Korlach (105788), Shrikant Mane, Araceli Lamelas (128475), Christoph D Schmid, Mohamad R Abdul Sater, Clark, Tyson A., Röltgen, Katharina, Gerd Pluschke (7855), Katharina Röltgen (120045), Guilin Wang, Sater, Mohamad R. Abdul, Tyson A Clark, Mohamad R. Abdul Sater (836669), Jonas Korlach, Guilin Wang (37620), Shrikant Mane (106631), Lamelas, Araceli, Pluschke, Gerd   +26 more
core   +1 more source

Profiling genome‐wide methylation in two maples: Fine‐scale approaches to detection with nanopore technology

Evolutionary Applications
DNA methylation is critical to the regulation of transposable elements and gene expression and can play an important role in the adaptation of stress response mechanisms in plants.
Susan L. McEvoy, Patrick G. S. Grady, Nicole Pauloski, Rachel J. O'Neill, Jill L. Wegrzyn   +4 more
doaj   +1 more source

Mapping the omics landscape for peri‐implant diseases: A scoping review

Periodontology 2000, EarlyView.
Abstract Objectives To map omics evidence across peri‐implant health, peri‐implant mucositis, and peri‐implantitis, and to identify recurring molecular patterns and candidate biomarker signals relevant to diagnosis, monitoring, and treatment. Materials and Methods This scoping review included human studies using genomics, DNA methylation–based ...
Ethan Ng, Ioannis Fragkioudakis, Jeniffer Perussolo, John Rong Hao Tay, Elena Calciolari, Nikos Donos   +5 more
wiley   +1 more source

How to make DNA methylome wide association studies more powerful

Genome-wide association studies had a troublesome adolescence, while researchers increased statistical power, in part by increasing subject numbers.
Barton, Sheila, Holbrook, Joanna, Lin, Xinyi   +2 more
core   +1 more source

Complete Genome Sequence and Methylome Analysis of Acinetobacter calcoaceticus 65

, 2017
Acinetobacter calcoaceticus 65 is the original source strain for the restriction enzyme Acc65I. Its complete sequence and full methylome were determined using single-molecule real-time (SMRT) sequencing.
Sergey K. Degtyarev, Alexey Fomenkov, Richard J. Roberts, Tamas Vincze   +3 more
core   +1 more source

DNA Methylation and the Evolution of Developmental Complexity in Plants

Frontiers in Plant Science, 2018
All land plants so far examined use DNA methylation to silence transposons (TEs). DNA methylation therefore appears to have been co-opted in evolution from an original function in TE management to a developmental function (gene regulation) in both ...
Katharina Bräutigam, Quentin Cronk
doaj   +1 more source

Understanding extracellular vesicles in antiaging

Periodontology 2000, EarlyView.
Abstract Background Aging is a multifactorial process marked by gradual cellular dysregulation, regulated by hallmarks, including genomic instability, mitochondrial dysregulation, and chronic inflammation. Extracellular vesicles (EVs), especially exosomes, have emerged as pivotal mediators of cell‐to‐cell communication with potential roles in both ...
Paras Ahmad, Nathan E. Estrin, Anton Sculean, Richard J. Miron   +3 more
wiley   +1 more source

Whole genome sequencing and methylome analysis of the wild guinea pig [PDF]

, 2020
Background: DNA methylation is a heritable mechanism that acts in response to environmental changes, lifestyle and diseases by influencing gene expression in eukaryotes.
Kathrin Schumann, Marie Jeschek, Camila J Mazzoni, Wei Chen, Felix Heeger, Tino Schüllermann, Joerns Fickel, Alexandra Weyrich   +7 more
core  

FASTmC: A Suite of Predictive Models for Nonreference-Based Estimations of DNA Methylation

G3: Genes, Genomes, Genetics, 2016
We describe a suite of predictive models, coined FASTmC, for nonreference, cost-effective exploration and comparative analysis of context-specific DNA methylation levels.
Adam J. Bewick, Brigitte T. Hofmeister, Kevin Lee, Xiaoyu Zhang, David W. Hall, Robert J. Schmitz   +5 more
doaj   +1 more source