Sentence examples for uncover interactions from inspiring English sources

We believe that this study may pave the way for further characterization of the function played by these two genes during reproduction and uncover interactions unknown at the present time.

The GarsC201R mouse is a valuable new resource both for studying the pathogenesis of defects in this enzyme and for use as a genetic tool to uncover interactions with cellular pathways affecting motor and/or sensory neuronal function.

New research methods generally are required to uncover interactions between migration and economic changes at migrant origins and destinations.

Such approaches may uncover interactions between signal transduction routes, which are to be verified in vivo.

Since the yeast collection of deletion mutants has become available, genome-scale assays to uncover interactions between non-essential genes, for example by Synthetic Genetic Array (SGA) technology, have become routine in molecular genetics [ 2].

In addition to showing that epistasis contributes to variation in human traits, the work of Brown et al. could help to uncover interactions behind complex traits beyond the expression level of a gene that could not previously be investigated.

This study uncovers interactions between memories that exhibit the defining features of the synaptic tagging and capture hypothesis.

Chiu's research is uncovering interactions between the immune system, nervous system, and microbiome in health and in disease.

High-throughput screens have uncovered interactions between antibiotics and have lead to the surprising insight that, although certain combinations are less efficient, they may hinder the evolution of multidrug resistance in the long term (Yeh et al. 2009).

Linkage analysis in a segregating population and gene expression analysis of the CsGL1 and CsGL3 genes in csgl1, csgl3, and csgl1 + 3 genetic backgrounds uncovered interactions between the two genes.

The observation that such link-based evolutionary signals prevail in the topology of an otherwise extremely noisy protein interaction network indicates a novel way to uncover protein interactions in any organism for which orthologs can be identified from sequence data.