Sentence examples for microarray data clearly from inspiring English sources

The microarray data clearly underestimated the gene expression fold changes when compared with the qRT-PCR analysis, as almost all of the genes show more dramatic fold changes in gene expression according to the qRT-PCR than with the microarray data (Figure S1).

The microarray data clearly denoted that disruption of subtelomeric chromatin does not alter the differential behaviour of genes located at chromosomal flanks.

In addition, microarray data clearly indicated that many GA-responsive genes in the wild-type scion on ΔDELLA- gai stock show attenuated responses.

The differential analysis of the microarray data clearly indicates that the CD49f and matrix selected short-term (<2 weeks) cultured cells were not bulk fibroblasts [ 18] but rather showed individual germ cell specific expression patterns.

Our microarray data clearly show that Pparα is considerably activated on the high-fat diet, as numerous target genes were up-regulated especially in the proximal and middle part of the small intestine.

Microarray data clearly spotlighted the differential genetic profile of GRS L2 versus L2 of BF (173 genes expressed at a 2-fold higher level in GRS at P3) and GRS L2 versus GRS L5 (107 genes expressed at a 2-fold higher level in L2 at P3).

Our microarray data showed clearly that septic shock patients developed major genomic alterations during the first 48 h after the onset of shock affecting more than 71% of the human genome.

Microarray data can clearly improve tumour classification and provide empirical clinical correlations.

The results of our microarray data analysis clearly confirm the outcome of the primary impact and persistent compression injury to the spinal cord, which is disruption of the vasculature and hemorrhage as the major and initial result of the primary injury.

Consistently with the phenotype microarray data, ecsA::intron clearly decreased MICs of the ribosomal antibiotics tobramycin, sisomycin and chloramphenicol (Table 3).

Since the microarray data revealed quite clearly that TTA affected genes are involved in regulating the heart performance, we used qRT-PCR to measure the expression of the cardiac transcription factors GATA4, Mef2C and osteonectin (Osx).