Gene expression studies in inbred animal strains can identify gene expression changes in a homogeneous genetic background, with the signal not masked by the noise generated from the variable genetic background present in human studies [ 22].
We constructed a virtual subarray to identify gene expression changes of the 93 apoptotic genes for which an identifier could be obtained.
We collected scraped mesothelium (Fig. 3a) and performed RNA-seq to identify gene expression changes during mesotheliomagenesis.
Microarray analysis of tissues or cells derived from short-lived mutants offers the opportunity to identify gene expression changes correlated with short life span and, potentially, accelerated aging.
We sought to identify genes whose levels of expression in whole blood correlate with self-reported smoking status.Microarrays were used to identify gene expression changes in whole blood which correlated with self-reported smoking status; a set of significant genes from the microarray analysis were validated by qRT-PCR in an independent set of subjects.
Therefore, we sought to identify gene expression changes, particularly those occurring early, in aCRSwNP.
A goal of the original study [23] was to identify gene expression changes characteristic of DM2 and pre-defined gene sets for association with the disease phenotype.
The goal of this study was to identify gene expression changes that may underlie the potent growth promoting effects of Hox on primitive hematopoietic cells.
To identify gene expression changes that preceded, and possibly contributed to, the biologic effects of EGFR TKI treatment on EGFR-mutant NSCLC cells, the cells were subjected to short-term treatment with gefitinib.
Therefore, we studied both nasosinus polyps and adjacent inflamed mucosa from young aCRSwNP subjects to identify gene expression changes, particularly early changes, in the inflammatory process of this and other eosinophilic conditions.
Affymetrix MAS5 algorithms were used to identify present transcripts, while RMA, GCRMA, VSN, and dChip methods were employed together with MAS5 to identify gene expression changes (see [28] for comparison among methods).
