Ontology highlight
ABSTRACT: Background
Clinically useful biomarkers for patient stratification and monitoring of disease progression and drug response are in big demand in drug development and for addressing potential safety concerns. Many diseases influence the frequency and phenotype of cells found in the peripheral blood and the transcriptome of blood cells. Changes in cell type composition influence whole blood gene expression analysis results and thus the discovery of true transcript level changes remains a challenge. We propose a robust and reproducible procedure, which includes whole transcriptome gene expression profiling of major subsets of immune cell cells directly sorted from whole blood.Methods
Target cells were enriched using magnetic microbeads and an autoMACS® Pro Separator (Miltenyi B
SUBMITTER: Letzkus M
PROVIDER: S-EPMC4424390 | biostudies-literature | 2014
REPOSITORIES: biostudies-literature