Sentence examples for by microarray analyses using from inspiring English sources

Expression levels at each time point for each cell and treatment were determined by microarray analyses using the Illumina human Ref8v2 array.

NO-responsive genes in Arabidopsis were identified by microarray analyses using the synthetic NO donors SNP and NOR-3 [ 58, 59].

The influence of JTX on the gene expression profile in the large and small intestines was investigated by microarray analyses using mice of different strains with or without enteric microflora.

We used quantitative PCR to validate the expression of some of the genes identified by the microarray analyses using RNA from individual animals from the four groups.

The transcript profiles analyzed in this study were obtained by DNA microarray analyses using genetically engineered E. coli LZ41 and LZ54 strains containing norfloxacin-resistant topoisomerase gene alleles to selectively inhibit either DNA gyrase or topoisomerase IV activity and respectively induce either relaxation or high negative supercoiling [ 20].

We therefore cultured granulosa cells from small bovine follicles with or without FSH and TNFα, alone and in combination, assayed steroid hormone production by immunoassay and conducted microarray analyses using Genechip bovine genome arrays.

Microarray analyses using the OsNAC6 overexpressors clarified the downstream genes, which included many stress-inducible genes.

Microarray analyses using the OsNAC5 overexpressors identified downstream genes, which included OsLEA3.

We performed microarray analyses using the 2-dye method, which directly compares expression profiles between 2 samples on the same microarray slide.

Real time RT-PCR was performed to validate the expression levels of select differentially expressed genes identified by microarray analyses on the same RNA samples used for microarray analysis.

Permutation analyses allow the quality of different epistasis data sets obtained by microarray analyses to be quantified so that their use in assembling network models can be appropriately weighted.