Genome wide microarray analyses, however, are inherently flawed since they globally profile the steady-state levels of mRNA, referred to as the transcriptome.
Microarray analyses, however, indicated that overall gene expression was similar between the two groups of animals challenged with S. aureus COL.
However, microarray analyses demonstrated significant changes in gene expression, specifically in the RB-deficient cell population that had recurred following CDDP treatment.
However, microarray analyses revealed that high signal intensity also was detected from about 15% of CDS-ANE loci (2.6K) in samples from all four tissues (Table 6), suggesting that factors other than transcription activity may affect cloning efficiency.
However, microarray analyses did not reveal significant changes of such marker genes in P5 mouse heart ventricles, nor did adult Smyd2 cKO hearts exhibit differences in size or weight as would have been expected if the proliferation of cardiomyocytes was affected [55].
However, microarray analyses rely on the hybridization of a set of known transcripts and are not as comprehensive as sequencing-based techniques [ 28].
33, 34 In the case of siglec recognition, however, microarray analyses have shown that the interchangeable role for sulfate and the sialic acid carboxyl group does not apply.
However, microarray analyses of gene expression, although commonly used, often yield divergent data and, therefore, require direct confirmation by detection of the specific transcripts.
However, microarray analyses performed at day 4, 7, 11 and 18 of the experiment revealed only three mRNAs with a strongly modified accumulation level throughout the course of the experiment.
However, microarray analyses of neural tissue from Mecp2-deficient mice have consistently included immune genes, e.g., Irak-1 [ 58], as among the most highly aberrant in transcription as a result of loss of Mecp2.
However, microarray analyses rely on existing genome annotations and require design of a specialised array of probes based on information obtained from other methods such as sequencing in order to detect more complex regulations in gene expression such as alternative splicing [ 12].
