Sentence examples for microarray experiments so from inspiring English sources

The purity and quality of the starting RNA has a significant effect on the results of microarray experiments, so it is essential that all the steps of RNA isolation be carried out with maximum care and speed.

This article reviews the steps needed in the design and execution of valid microarray experiments so that global gene expression data can play a major role in the pursuit of future biological discoveries that will impact drug development.

Clustering is useful for organizing the genes and samples from a set of microarray experiments so as to reveal biologically interesting patterns.

For example, Figure 6B is the correlation matrix for the sigB operon described in the previous section (rsbV in this operon was not measured in the microarray experiments, so the region of this gene is not colored), and shows a similar pattern in the schematic model in Figure 6A.

We have not seen similar large scale qPCR validations for other C. elegans microarray experiments, so we cannot comment on whether this is a common phenomenon; however two other microarray analyses performed in our lab utilizing heat-shock expression of a transcription factor yielded similar validation rates (<50%; J. Siegel and D. Eisenmann; L. Gorrepati, and D. Eisenmann, unpublished results).

An analysis of combined datasets generated in independent microarray experiments (so-called "microarray meta-analysis"), is often being employed [ 5], for example, to develop biomarker panels or to extract insights into the pathogenesis of various chronic diseases [ 6] including human malignancies [ 7].

Expression of Slc17a7 (VGLUT1) was not changed in the hippocampi of adult ethanol-exposed offspring in the initial microarray experiment, so was not examined further.

I find it pretty appalling that a lot of microarray experiments with so many sources of variation and error were based on a single run of the process!

The microarray experiments were designed so as to normalize the gene expression levels in duodenum samples from gluten-sensitive macaques relative to those obtained from a normal, healthy, control macaque while on gluten-free diet.

The microarray experiments were designed so that all treatments were compared to the control plants harvested from the controlled-environment chambers (100 μmol photons m-2 s-1, 23°C) at the same hour of the day as the treated plants were harvested; thus making the light and low temperature treatments comparable with each other with respect to the circadian effects on gene expression.

Finally, it is worth mentioning that although public repositories of microarray data contain hundreds of normalized data sets, each data set having a hundred or so of microarray experiments concerning a single study, the different datasets cannot be combined easily.