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In this study, we identified the RNA splicing factor SRRM2 (or SRm300), serine/arginine (SR) repetitive matrix 2 as differentially expressed in multiple gene expression datasets.
We used DNA microarrays to analyze multiple gene expression responses to increasing angiotensin II concentrations.
Here we describe how to use sigQC, a tool that enables a streamlined, systematic approach for the evaluation of previously obtained gene signatures across multiple gene expression datasets.
New stress-related genes of similar functional motifs were identified, reemphasizing the importance of functional grouping in the analysis of multiple gene expression profiles.
Down-regulation of Nanog and Sox2 gene expression can change multiple gene expression patterns and signal transduction pathways, and will initiate ES cell differentiation.
Conventional methods infer the gene regulatory network independently from each of the multiple gene expression profiles under varying conditions to find the important regulatory relations for understanding cellular behavior.
The cocktail δ-integration strategy allows for modulation of multiple gene expression, without the exact knowledge of rate-limiting steps, and therefore, could be used as a promising strategy for the production of bio-based chemicals in recombinant S. cerevisiae.
An intriguing pattern emerged during the integration of multiple gene expression data sets on pathogen induction with the diurnal control study.
One strategy to resolve this heterogeneity is to make use of multiple gene expression patterns that are more powerful in defining individual characteristics and predicting outcomes than any single gene expression pattern.
A second SNP in TGM3 (rs6082527) was also significantly associated with multiple gene expression and gemcitabine IC50.
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.
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