Sentence examples for microarray analyses determined from inspiring English sources
Interestingly, microarray analyses determined that specific genes (PG2133 and PG2134) in operons coding for the synthesis and assembly of major and minor fimbrial antigens (FimA and Mfa1) of P. gingivalis were induced on exposure to CSE, while several genes in the capsular biosynthesis locus (capK, PG0117, PG0118 and wecC) were suppressed [14].
For the steady-state levels of probe set identified transcripts from the microarray analyses, we determined significant differences using one-way analysis of variance (ANOVA).
We examined the ability of microarray analyses to determine the potential markers of pathological complete response (pCR).
The aims of the present study were to validate the microarray analyses, to determine the value of TFF3 as an independent predictive biomarker of response to endocrine therapy and to evaluate the response of breast cancer cells to TFF3.
Moreover, recent studies reported microarray analyses which determine whether miRNAs are deregulated in common cardiovascular physiopathological conditions, such as hypertrophic and/or dilated cardiomyopathy, heart failure, or atrial fibrillation [ 12– 17].
We used microarray analyses to determine changes in steady-state mRNA levels and mRNA decay rates following 24-hr exposure to noncytotoxic concentrations of sodium arsenite, and we confirmed some of these changes using real-time reverse-transcription polymerase chain reaction (RT-PCR).
To determine the normalization factor, the relative transcript abundances of five genes with fold change value of 1 in the microarray analyses were also determined by qRT-PCR (see Additional file 5 for primer sequences) and analyzed with the geNorm algorithm [ 71] to select the combination of more stable genes in every experiment.
Agilent cDNA microarray analyses were conducted to determine gene expression profiles of breast muscle sampled at different developmental stages of BJY and AA chickens.
Microarray analyses were performed to determine the transcriptional responses in aortic and skeletal muscle endothelium from KO vs. WT mice exposed to either high-fat diet or control diet for 8 weeks.
Expression levels at each time point for each cell and treatment were determined by microarray analyses using the Illumina human Ref8v2 array.
Our findings are consistent with these data although determined using microarray analyses.
