Sentence examples for microarray analyses detected from inspiring English sources

Following a lateral moderate fluid percussion injury model of TBI in adult rats, microarray analyses detected apparent changes in the expression levels of apoptosis-related genes which revealed time-dependent expression patterns for 23 genes in the lateral cortex.

Microarray analyses detected a suite of master developmental regulators that control differentiation and maintenance of diverse cell lineages.

Pathogen challenge and drought stress were among the rare cases, in which microarray analyses detected a stronger expression of ProDH2 than of ProDH1.

From published microarray analyses detecting genes with circadian expression we selected 6 studies on mammalian tissues and containing information on gene expression phases and amplitudes [5], [6], [15], [16], [17], [18].

Our microarray-based genomewide analyses detected patterns of decreased/increased transcript abundance in peripheral blood lymphocytes from the high- versus low-exposure groups representing North American drinking-water arsenic levels.

RNA-Seq and microarray analyses, both, detected a differential regulation of genes involved in cell wall processes.

Our microarray analyses also detected three antibacterial peptides, attacin-like (CG10146-RA and CG18372-RA) and cecropin CG1878-RAA).

A transcriptome atlas of two wheat genotypes response to heat treatments using microarray analyses only detected the expression of 22,720 probe sets [ 4].

Thus, the purpose of this paper is to report that microarray and quantitative PCR analyses detected METH-induced increases in the expression of activating transcription factor 3 (ATF3), heat shock protein 27 (heme7), heme oxygenase 1 (heat1), heat shock protein 40 (HSP40), CHOP, and BIP that are known ER stress-responsive genes.

The present findings using DNA microarray analyses to detect differences in the gene expressions of deciduous and permanent teeth may be useful for dental pulp tissue engineering.

As documented in Walter et al. [13], microarray analyses can detect false negative or false positive differential expression due to differences in hybridization efficiencies resulting from allelic sequence variation.