By means of microarray hybridization, high-definition methylation profiles were recorded covering thirty-three CGIs associated with the twenty-eight selected genes.
Such studies often rely on the acquisition and analysis of genome-wide data sets such as chromatin immunoprecipitation combined with microarray hybridization (ChIP-chip), transcriptome profiling, proteomics, and metabolomics, ultimately resulting in a global map of the transcriptional architecture for the bacterium under defined growth conditions.
To further characterize how myo1Δ mounts its unique stress response, we previously described the global mRNA expression profile using microarray hybridization [ 6].
We examined the in vitro gene expression profiles by microarray hybridization and the in vivo transcriptomes during lung infection in mice of a USA300 and a USA400 MRSA strain by performing complete genome qRT-PCR analysis.
A variety of methods has been developed to conduct genome-scale analyses of DNA methylation, ranging from microarray hybridization techniques to DNA methylation profiling by whole-genome shotgun bisulfite sequencing (WGSBS), the latter yielding genome-wide methylation data in single-base resolution (Bock et al. 2010).
We used microarray hybridization analysis to compare gene expression profiles of RNA from cell pellets with gene expression profiles of RNA from frozen sections that had been stained with hematoxylin and eosin (H&E), Nissl Stain (NS), and for immunofluorescence (IF) as well as with the plasma cell-revealing methyl green pyronin (MGP) stain.
Motivation: Quantitative real-time polymerase chain reaction (qPCR) is routinely used for RNA expression profiling, validation of microarray hybridization data and clinical diagnostic assays.
Gene expression profiling, based on microarray hybridization, has been successfully used for the identification of genes that are differentially expressed among RCC subtypes and in the search for new therapeutic targets [ 3– 6].
The combination of genome-wide transcriptional profiling by DNA microarray hybridization and in vitro DNA band shift assays clearly demonstrated that the C. glutamicum Zur protein negatively controls the expression of five transcription units with genes that are involved in the zinc metabolism in this species.
To further understand expression patterns of target mRNAs of miRNAs, mRNA expression profiles were assessed using microarray hybridization.
