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Altogether, these disorders lead to substantial alterations of the intestinal microbiota and may alter and disturb the finely tuned intestinal hemostasis [10].
It is remarkable that minor differences in amino-acid sequence, especially between TbSTT3B and TbSTT3C, lead to substantial alterations in their polypeptide acceptor substrate specificities (Supplementary Figure S2).
A recent analysis showed that even relatively small accumulations of genetic polymorphism can lead to substantial alterations in the transcriptome and extracellular secretome of the bacterium, which may lead to altered virulence and changing epidemiology of the infections.
The paucity of evidence-based data on contact and transmission probabilities regarding both epidemic and pandemic influenza, as well as the complexity of real-life mixing patterns within a large population, may lead to substantial alterations in the efficacy of targeted prophylaxis, which cannot be modeled.
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However, GC clusters have been suggested as mtDNA recombination hotspots (Dieckmann and Gandy 1987), and GC cluster mediated gene conversion can insert or delete large genomic fragments, which ultimately lead to substantial alteration of genome size.
These Phase 1-Phase 2 discrepancies led to substantial alterations in subsequent versions of the fecal DNA assays [ 29].
Taken together here we suggest that the exposure of the chemoresistant cells in the tumor microenvironment leads to substantial alterations and might lead to promotion of acquired microenvironment-mediated chemoresistance and stemness.
Deletion of both VDAC genes at the same time led to substantial alteration of the mitochondrial membrane protein composition, as observed upon 1D SDS-PAGE (Fig. 6A).
Elegant work by the Wallace lab has demonstrated how the balance of different haplotypes of mtDNA that are divergent due to polymorphisms in their DNA sequence, also known as heteroplasmy, can have a profound effect on cell physiology and can lead to substantial cognitive alterations in a mouse model [155].
Without any modification to other parts of the expansion algorithm, alterations to the stiffness setting can lead to substantial degradation or even a complete loss of expanding properties of the modelled device.
It has been shown that bagging can lead to substantial gains in accuracy for both classification and regression models, specially when alterations in the training set cause significant changes in the outcome of the modelling procedure.
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