Sentence examples for gene expression snapshots from inspiring English sources

Pharmacogenomics uses gene sequence and gene expression snapshots with the assumption that deterministic evolution of molecular events leads to predictable phenotypes.

Therefore, we asked whether it is possible to identify subjects who will lose weight during dietary intervention using only a single gene expression snapshot.

While these studies may suggest that identifying predictive genes using a gene expression snapshot is possible, there are several critical differences between our work and these two aforementioned studies.

While the degree of prediction accuracy currently achieved with a gene expression snapshot is perhaps insufficient for clinical use, this work reveals that the comprehensive molecular signature of adipose tissue paves the way for the future of personalized nutrition.

The aim of the present study was to assess whether a single gene expression snapshot prior to the 10 week consumption of a hypocaloric diet could be used to accurately predict whether an individual would lose weight or not.

For this reason, considering only the gene expression snapshot of a single time point does not give a complete picture on the actual present proteome.

The ability to find structure in the data, in the form of patterns of gene expression that provide snapshots of gene activity in a cell or tissue sample at a given instant of time, is transforming biology from an observational science into a data-intensive quantitative science.

We hypothesize that this could be because gene expression is a snapshot while calcified matrix production is collective, so calcium matrix production between day 1 and week 3 may have been much higher on liver.

Firstly, gene expression microarrays capture a snapshot of the cell's transcriptome, detecting genes being actively transcribed at the time of RNA extraction, but they do not capture any information concerning the genes' regulatory states and consequently their potential for transcriptional changes in response to stimuli.

Previous studies of chondrocyte gene expression have captured a snapshot of gene expression under the specifically examined conditions.

The gene expression profile provides a snapshot of the transcriptional state of noncancerous and tumor tissues.