Sentence examples for measured expression changes from inspiring English sources

To obtain a global view of expression changes, we transfected ESCs with RAD21 esiRNAs and measured expression changes after 48 hours using microarrays.

We measured expression changes during diploid progenitor species divergence, allopolyploid formation and parallel domestication of diploid and allopolyploid species, using a microarray platform that interrogates 42,429 unigenes.

To this end, we measured expression changes of miRNAs in dauer/iL3 relative to mixed-stage samples in C. elegans, P. pacificus, and S. ratti (data sets 3, 4, and 7 10; supplementary table S1, Supplementary Material online).

Many of the measured expression changes are probably due to the triggering of various universal cellular responses to foreign toxic substances, e.g., apoptosis or cell death.

To measure expression changes in klf2, klf4, lif, and lin28b in neuroblastoma upon N-myc depletion, quantitative RT-PCR (qRT-PCR) was conducted on the cells treated with the same type of 3, 5, and 7-day time-course of Tet treatment that was used for the expression microarray (Fig. 2).

By measuring expression changes of tens of thousands of genes, we can identify mechanistic-relevant genes and pathways, improving our mechanistic understanding of toxicology.

We measure expression changes in the dauer to dauer-exit (12-hour time-point) transition using species-specific mix-stage sample as a common technical reference.

Although Karp et al. chose a targeted approach to measure expression changes of 107 selected miRNA genes, we applied an unbiased strategy that allowed us to detect an unrestricted set of differentially expressed miRNA genes.

The GSAS can illuminate which mechanisms are important in driving cancer growth by measuring expression change at a functional gene set level, as opposed to an individual gene level, where gene-gene interactions complicate the information that can be derived based on expression data.

In addition to the substantial biological diversity among humans, our limited ability to reliably measure expression changes of small magnitude significantly reduces our capacity to obtain convergent sets of transcriptome data in postmortem brain.

RNA-Sequencing of distinct life cycle stages was incorporated to validate gene content and measure expression changes during infection.