Results 91 to 100 of about 1,757,426 (287)

Protein pyrophosphorylation by inositol pyrophosphates — detection, function, and regulation

open access: yesFEBS Letters, EarlyView.
Protein pyrophosphorylation is an unusual signaling mechanism that was discovered two decades ago. It can be driven by inositol pyrophosphate messengers and influences various cellular processes. Herein, we summarize the research progress and challenges of this field, covering pathways found to be regulated by this posttranslational modification as ...
Sarah Lampe   +3 more
wiley   +1 more source

Intra-organ variation in age-related mutation accumulation in the mouse. [PDF]

open access: yesPLoS ONE, 2007
Using a transgenic mouse model harboring chromosomally integrated lacZ mutational target genes, we previously demonstrated that mutations accumulate with age much more rapidly in the small intestine than in the brain.
Rita A Busuttil   +6 more
doaj   +1 more source

Icelandic mutation accumulation model

open access: yes, 2017
Icelandic mutation accumulation model (Ibs 0.5-0.99 and Ibs 0.35) - secondary analysis of data from Kong et al. (2012) Rate of de novo mutations and the importance of father’s age to disease risk. Nature 488, 471–475. (doi:10.1038/nature11396), Fig. 4, p.
Woodley of Menie, Michael   +5 more
core   +1 more source

Pediatric Mediastinal Gray Zone Lymphoma With Germline TET2 Heterozygous Variant

open access: yes
Pediatric Blood &Cancer, EarlyView.
Matthew R. Schuelke   +9 more
wiley   +1 more source

The planar cell polarity protein Vangl2 interacts with the PDZ‐domains of Scribble but not with a unique PDZ‐like domain in Inturned

open access: yesFEBS Letters, EarlyView.
Structural and biochemical characterisations show that the planar cell polarity (PCP) protein Inturned harbours a unique PDZ‐like domain that does not bind canonical PDZ‐binding motifs (PBMs) like that of another PCP protein Vangl2. In contrast, the apical‐basal polarity protein Scribble contains four PDZ domains that bind Vangl2, but one PDZ domain ...
Stephan Wilmes   +4 more
wiley   +1 more source

The Legacy of Domestication: Accumulation of Deleterious Mutations in the Dog Genome [PDF]

open access: yesMolecular Biology and Evolution, 2008
Dogs exhibit more phenotypic variation than any other mammal and are affected by a wide variety of genetic diseases. However, the origin and genetic basis of this variation is still poorly understood. We examined the effect of domestication on the dog genome by comparison with its wild ancestor, the gray wolf.
Cruz F, Vilà C, Webster MT
openaire   +4 more sources

Mutation rate plasticity in rifampicin resistance depends on Escherichia coli cell–cell interactions [PDF]

open access: yes, 2014
Variation of mutation rate at a particular site in a particular genotype, in other words mutation rate plasticity (MRP), can be caused by stress or ageing. However, mutation rate control by other factors is less well characterized.
John A. D. Aston   +40 more
core   +1 more source

Calpain small subunit homodimerization is robust and calcium‐independent

open access: yesFEBS Letters, EarlyView.
Calpains dimerize via penta‐EF‐hand (PEF) domains. Using single‐molecule force spectroscopy, we measured the strength and kinetics of PEF–PEF homodimer binding. The interaction is robust, shows a transient conformational step before dissociation, and remains largely insensitive to Ca2+.
Nesha May O. Andoy   +4 more
wiley   +1 more source

Accumulation of deleterious mutations during bacterial range expansions [PDF]

open access: yesGenetics, 2016
Abstract Recent theory predicts that the fitness of pioneer populations can decline when species expand their range, due to high rates of genetic drift on wave fronts making selection less efficient at purging deleterious variants.
Bosshard, Lars   +6 more
openaire   +5 more sources

Use of the q-Gaussian mutation in evolutionary algorithms [PDF]

open access: yes, 2010
Copyright @ Springer-Verlag 2010.This paper proposes the use of the q-Gaussian mutation with self-adaptation of the shape of the mutation distribution in evolutionary algorithms.
Yang, S   +5 more
core   +1 more source

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