Sentence examples for evaluated expression changes from inspiring English sources

To test this, we constructed a series of mutants in the chromosomal gltIJKL locus and evaluated expression changes of GcvB and its representative target OppA.

To compare expression profiles between the two mouse strains C57BL/6J and DBA/2J and evaluate expression changes at different time points after stress exposure, we used cDNA microarrays.

We have placed particular emphasis on evaluating expression changes related to the BBB since loss of BBB integrity can have severe damaging effects on the brain [ 20- 23].

To evaluate expression changes relevant for C4 photosynthesis we selected genes associated with this process based on Mercator annotations of our transcriptome data and previously published descriptions of C4 photosynthesis in grasses [ 51].

Quantitative PCR was selected because of its universal use as a microarray validation method [ 10, 11, 18- 21], enhanced dynamic range [ 18- 20], and ease of use with limited sample sizes for evaluating expression changes for several hundred genes.

To evaluate expression pattern changes caused by leafminer damage in A. thaliana, we used an Affymetrix ATH1 A. thaliana GeneChip, which contained 22,810 probe sets covering most identified cDNA and open reading frames.

Relatively few studies have evaluated gene expression changes of EHEC O157∶H7 in the context of an infection model.

Furthermore some of them evaluated miRNA expression changes in brain cortex[33], some in hippocampus[35] and others in the entire brain tissue[32], [34].

In this study we have evaluated gene expression changes in erythroblasts that result from knockout of the antioxidant protein SOD2 in hematopoietic tissues a model previously shown to have many features of congenital or acquired sideroblastic anemia.

Initially we evaluated gene expression changes by comparing the large fold-changes of expression values between baseline and postexposed microarrays in both exposed (welders) and nonexposed (controls) subjects.

Here, we first evaluated gene expression changes in the mammary fat pad between 30% CR and 30% CR + IGF-1 using insulin PCR array.