Sentence examples for both microarray analysis and from inspiring English sources

The added value of the combination of both microarray analysis and the pathway analysis should be point of discussion when evaluating the reliability of the outcome of the microarray analysis.

The expression of Hamp1, Hamp2, Lcn2 and Cp were upregulated using both microarray analysis and Q-RT-PCR, while Tfrc expression was down-regulated by 1.7-fold (Figure 2).

Both microarray analysis and confirmative qRT-PCR assays showed that RNA levels were unchanged for pduA and pduE genes in the Δhfq mutant strain compared to the wildtype strain (Figure 5), thus showing that Hfq represses translation in these two environmental conditions.

These RNA were used for both microarray analysis and cDNA synthesis for qRT-PCR analysis.

Expression patterns were observed from functionally-relevant chicken genes in both microarray analysis and quantitative PCR validation.

Among the eight genes upregulated in the zur mutant, identified from both microarray analysis and in silico screening, three encode putative TonB-dependent receptors (znuK, znuL and znuM).

Among them, CDKN2A and HDAC3 were identified as significantly over-expressed, and NRAS and CD44 as significantly decreased in [PIP+] versus [PIP−] samples, as detected by both microarray analysis (list L235) and Q-PCR (Figure 4, grey shaded symbols and underlined names).

Following the dysregulated miRNA identification pipeline from tissue-based discovery to verification in blood, eighty-five dysregulated miRNAs (Additional file 1: Table S2) were included on custom-made qPCR plates based on the significant dysregulation observed in both microarray analysis [ 12] and in small RNA-Seq profiling of the same Ov-induced ICC tumor tissue performed here.

Also the well-established hypoxia-responsive gene HK2, which phosphorylates glucose and thus contributes to the glycolytic flux in cancer cells, was significantly up-regulated by hypoxia in the fragments, both in the microarray analysis and by qPCR.

The comparison of gene expression fold change, obtained both by microarray analysis and qRT-PCR, was assessed by Pearson correlation.

The same RNA samples were used for both affymetrix microarray analysis and qRT-PCR experiments.