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We then directly examined patterns of gene expression across tissues and cell types using recent RNA-seq based gene expression profiles from six distinct human tissues.
To make cross-platform gene expression profiles search possible, they transformed all gene expression profiles to Unigene ID based gene expression profiles, averaging expression values of genes for corresponding UniGene ID if multiple genes are mapped to a single UniGene ID, then measured similarity between expression profiles using Spearman rank correlation coefficient.
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Microarray based gene expression profiling was then carried out to compare gene expression in the scrambled and KDM2B shRNA lines.
Microarray based gene expression profiling of ERK1 and ERK2 knockdown zebrafish embryos at various stages of early embryogenesis resulted in specific gene expression signature sets that showed pronounced differences in gene ontology analyses.
23 DNA based, genome-wide association studies (genomics) and mRNA based gene expression profiling (transcriptomics) of disease affected tissues are beginning to uncover new and, in some cases, unanticipated disease mechanisms and factors that potentially predict differential treatment response.
Here, we used a DNA array-based gene expression profiling approach, together with assessment of the cytotoxic activity of several widely applied anti-cancer agents, in two collections of human lung cancer cell lines.
We expect that RNA-seq technology based gene-expression profiles will improve data quality and has a revolutionary impact on the meta-analysis of gene-expression research.
It is likely that the microarray-based (analog) gene-expression profiling technology will be replaced by digital sequencing based gene-expression profiling (RNA-seq) [ 8, 13, 14].
Recently, DNA microarray-based gene expression profiles have been employed to correlate the clinical behavior of cancers with the differential gene expression levels in cancerous and benign tumors.
Finally, we addressed the potential and challenges of translating microarray-based gene expression profiles into the functional aspects of carcinogenesis.
We use the EST-based gene expression profiles of livers of human, mouse, chicken, and Xenopus laevis, since liver tissue is composed primarily of a homogeneous population of differentiated cells.
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