Hu et al. have proposed quality-adjusted effect size models that were used to integrate multiple gene-expression microarray data given heterogeneous microarray experimental standards [ 107].
Gene expression search can be initiated by entering one (or multiple) gene(s) or microarray element ID s), such as RGAP ID, RAP ID, KOME ID, Affymetrixprobeset ID, or by uploading a file containing them.
Since the first DNA microarray paper demonstrated that microarray technology can monitor multiple gene expression profile in 1995 [1], DNA microarray technology has been developed steadily.
Previous human studies have demonstrated temporal changes in mRNA expression for multiple genes within a microarray following extirpation of colonic mucosa, reportedly starting after 20 min (Huang et al, 2001).
Warm ischaemia has been shown to alter the gene expression profile of a range of tissue types (Miyatake et al, 2004), and transcriptional changes following extirpation have been demonstrated for multiple genes within a microarray of colorectal mucosal samples beginning 20 min after excision (Huang et al, 2001).
In this study, we characterized molecular signaling networks that are activated or inhibited by AKT inhibition by GSK690693 treatment using gene microarray data from multiple cell lines and xenograft models and phosphoproteomics analysis from multiple cell lines.
However, reanalysis of multiple gene expression datasets using both microarrays and RNA-seq shows that median expression levels of X-linked genes when assayed in whole testes are in fact approximately 1.5-fold lower than those of autosomal genes (Meiklejohn et al. 2011).
Consequently, multiple gene expression profiling with an oligonucleotide microarray was conducted to investigate the transcriptomic responses of Atlantic salmon distal intestine to dietary saponin at inclusion levels naturally present in soy.
These second-generation sequencing technologies, including resequencing microarray, allow for multiple gene tests in a single experiment and thus hold considerable promise for routine molecular diagnosis of heterogeneous disorders [ 66].
We used DNA microarrays to analyze multiple gene expression responses to increasing angiotensin II concentrations.
