Motivation: The power of a microarray experiment derives from the identification of genes differentially regulated across biological conditions.
First, we identify suitable microarray experiments that derive gene sets related to ovary activation.
We ran the MEME motif-finding program [ 3] on the promoter regions of groups of genes that showed similar expression patterns to the known targets of these factors in microarray experiments to derive models of their binding specificity and identify putative binding sites.
Analysis of the changes in gene expression, evaluated in five independent microarray experiments in hMDMs derived from separate individuals, indicated that whereas the level of control transcripts, including 18S rRNA, was unaffected, a significant increase in the expression of antiapoptotic genes was observed (Table 3).
To begin to define the molecular mechanisms underlying the differentiation of hematopoietic and endothelial cells from a bipotent hemangioblast, we performed microarray experiments using RNA derived from different subsets of ES cells at different time points during the process of differentiation.
Identified transcripts were used to perform hierarchical clustering analysis of 72 microarray experiments performed on fibroblasts derived from normal males, and individuals affected with PAIS and CAIS.
We have developed an automated method of literature interrogation called "Literature Lab" that identifies and ranks associations existing in the literature between gene sets, such as those derived from microarray experiments, and curated sets of key terms (i.e. pathway names, medical subject heading (MeSH) terms, etc).
With the goal of precisely identifying genome-wide interdependencies between the length of the sequences associated with a gene and the expression of its mRNA transcript, we used the genome sequence of A. thaliana and gene expression data derived from microarray experiments.
Gene expression results derived from microarray experiments were correlated with chromosomal data and microRNA gene sets.
The data of CoryneRegNet is derived from various wet-lab experiments such as ChiP-ChiP, ChiP-Seq, and microarrays, but mostly derived from microarray experiments [ 8].
