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.
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.
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.
In MCF10A cells, the expression snapshot differs in some ways from MCF7.
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.
This analysis was performed with the goal to generate an expression profile "snapshot".
In fact, some studies showed that motor-perceptual interactions are induced by visual perception of static stimuli, such as face expressions [50], static snapshots of dynamic actions [1], [2], [51], pictures of interactions between hands and tools [52], or symbols and letters [53] [59].
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.
Whereas half-sector analysis measured events throughout the duration of an entire cell cycle, the FISH method measured expression in a snapshot of time.
