The development of microarray analyses represents a genome-wide method for measuring differences across strains, focusing on expression differences.
The development of microarray analyses represents an additional genome-wide method for measuring differences across strains, focusing on expression differences rather than on sequence differences in the genome.
Except for the microarray analyses, data are represented as mean values±SEM, with N representing the number of experiments.
The 7 different batches (aquiry dates) were clearly grouped into the two main clusters representing microarray analyses from the years 2006 and 2009.
Internally, this information is embodied as instances of the qPCRset class, which are analogous to the ExpressionSet objects typically used to represent fluorescence data in microarray analyses.
To explore the possible biological interactions as well as specific pathways, datasets representing genes with altered expression profile derived from microarray analyses were imported into the Ingenuity Pathway Analysis Tool.
To investigate possible biological interactions of differently regulated genes, datasets representing genes with altered expression profile derived from microarray analyses were imported into the Ingenuity Pathway Analysis Tool (IPA Tool; Ingenuity®Systems, Redwood City, CA, USA; ).
It is the recent expression profiling data obtained from microarray analyses that have revitalized the question of whether the metastatic phenotype represents end stage of a lengthy progressive disease.
In one sense this represents an alternate validation step in a tiered approach to evaluating microarray analyses.
Based on preliminary microarray analyses comparing HC and sepsis groups, a panel of 42-gene expression markers were identified that represented key innate and adaptive immune function, cell cycling, WBC differentiation, extracellular remodelling and immune modulation pathways.
