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113,859
result(s) for
"METHYLATION"
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Trimethylation of CENP-A supports mitotic fidelity
by
Strzyz, Paulina
in
Methylation
2017
Journal Article
Novel Bivalent .sup.99mTc-Complex with N-Methyl-Substituted Hydroxamamide as Probe for Imaging of Cerebral Amyloid Angiopathy
2016
Cerebral amyloid angiopathy (CAA) is characterized by the deposition of amyloid aggregates in the walls of the cerebral vasculature. Recently, the development of molecular imaging probes targeting CAA has been attracting much attention. We previously reported the .sup.99m Tc-hydroxamamide (.sup.99m Tc-Ham) complex with a bivalent benzothiazole scaffold as a binding moiety for amyloid aggregates ([.sup.99m Tc]BT2) and its utility for CAA-specific imaging. However, the simultaneous generation of two radiolabeled complexes derived from the geometric isomers was observed in the .sup.99m Tc-labeling reaction. It was recently reported that the complexation reaction of .sup.99 Tc with N-methyl-substituted Ham provided a single .sup.99 Tc-Ham complex consisting of two N-methylated Ham ligands with marked stability. In this article, we designed and synthesized a novel N-methylated bivalent .sup.99m Tc-Ham complex ([.sup.99m Tc]MBT2) and evaluated its utility for CAA-specific imaging. N-Methyl substitution of [.sup.99m Tc]BT2 prevented the generation of its isomer in the .sup.99m Tc-labeling reaction. Enhanced in vitro stability of [.sup.99m Tc]MBT2 as compared with [.sup.99m Tc]BT2 was observed. [.sup.99m Tc]MBT2 showed very low brain uptake, which is favorable for CAA-specific imaging. An in vitro inhibition assay using [beta]-amyloid aggregates and in vitro autoradiographic examination of brain sections from a Tg2576 mouse and a CAA patient showed a decline in the binding affinity for amyloid aggregates due to N-methylation of the .sup.99m Tc-Ham complex. These results suggest that the scaffold of the .sup.99m Tc-Ham complex may play important roles in the in vitro stability and the binding affinity for amyloid aggregates.
Journal Article
Epigenome-wide association study of body mass index, and the adverse outcomes of adiposity
by
Tarantini, Letizia
,
Laffan, Michael
,
Rota, Federica
in
631/208/177
,
692/699/2743/393
,
Adipose Tissue - metabolism
2017
A large-scale epigenome-wide association study identifies changes in DNA methylation associated with body mass index in blood and adipose tissue, and correlates DNA methylation sites with high risk of incident type 2 diabetes.
Body fat and diabetes risk
Obesity is a major risk factor for type 2 diabetes and related metabolic disorders. Genetic association studies have identified genomic loci associated with obesity, and recent studies have also suggested associations with DNA methylation. These authors report an epigenome-wide association study for body mass index (BMI), identifying an association with DNA methylation at 187 loci in blood and adipose tissue. They find that these methylation changes are secondary to adiposity and are also associated with an increased risk of developing type 2 diabetes, independent of conventional risk factors.
Approximately 1.5 billion people worldwide are overweight or affected by obesity, and are at risk of developing type 2 diabetes, cardiovascular disease and related metabolic and inflammatory disturbances
1
,
2
. Although the mechanisms linking adiposity to associated clinical conditions are poorly understood, recent studies suggest that adiposity may influence DNA methylation
3
,
4
,
5
,
6
, a key regulator of gene expression and molecular phenotype
7
. Here we use epigenome-wide association to show that body mass index (BMI; a key measure of adiposity) is associated with widespread changes in DNA methylation (187 genetic loci with
P
< 1 × 10
−7
, range
P
= 9.2 × 10
−8
to 6.0 × 10
−46
;
n
= 10,261 samples). Genetic association analyses demonstrate that the alterations in DNA methylation are predominantly the consequence of adiposity, rather than the cause. We find that methylation loci are enriched for functional genomic features in multiple tissues (
P
< 0.05), and show that sentinel methylation markers identify gene expression signatures at 38 loci (
P
< 9.0 × 10
−6
, range
P
= 5.5 × 10
−6
to 6.1 × 10
−35
,
n
= 1,785 samples). The methylation loci identify genes involved in lipid and lipoprotein metabolism, substrate transport and inflammatory pathways. Finally, we show that the disturbances in DNA methylation predict future development of type 2 diabetes (relative risk per 1 standard deviation increase in methylation risk score: 2.3 (2.07–2.56);
P
= 1.1 × 10
−54
). Our results provide new insights into the biologic pathways influenced by adiposity, and may enable development of new strategies for prediction and prevention of type 2 diabetes and other adverse clinical consequences of obesity.
Journal Article
Epigenetic and transcriptional signatures of stable versus plastic differentiation of proinflammatory gammadelta T cell subsets
2013
Two distinct subsets of γδ T cells that produce interleukin 17 (IL-17) (CD27(-) γδ T cells) or interferon-γ (IFN-γ) (CD27(+) γδ T cells) develop in the mouse thymus, but the molecular determinants of their functional potential in the periphery remain unknown. Here we conducted a genome-wide characterization of the methylation patterns of histone H3, along with analysis of mRNA encoding transcription factors, to identify the regulatory networks of peripheral IFN-γ-producing or IL-17-producing γδ T cell subsets in vivo. We found that CD27(+) γδ T cells were committed to the expression of Ifng but not Il17, whereas CD27(-) γδ T cells displayed permissive chromatin configurations at loci encoding both cytokines and their regulatory transcription factors and differentiated into cells that produced both IL-17 and IFN-γ in a tumor microenvironment.
Journal Article
DNA methylation in plants
by
Gallego-Bartolomé, Javier
in
artificial zinc finger proteins
,
CRISPR SunTag
,
Deoxyribonucleic acid
2020
DNA methylation is an epigenetic mark that regulates multiple processes, such as gene expression and genome stability. Mutants and pharmacological treatments have been instrumental in the study of this mark in plants, although their genome-wide effect complicates the direct association between changes in methylation and a particular phenotype. A variety of tools that allow locus-specific manipulation of DNA methylation can be used to assess its direct role in specific processes, as well as to create novel epialleles. Recently, new tools that recruit the methylation machinery directly to target loci through programmable DNA-binding proteins have expanded the tool kit available to researchers. This review provides an overview of DNA methylation in plants and discusses the tools that have recently been developed for its manipulation.
Journal Article