Fluorescence intensity normalisation: correcting for time effects in large-scale flow cytometric analysis.

ABSTRACT: A next step to interpret the findings generated by genome-wide association studies is to associate molecular quantitative traits with disease-associated alleles. To this end, researchers are linking disease risk alleles with gene expression quantitative trait loci (eQTL). However, gene expression at the mRNA level is only an intermediate trait and flow cytometry analysis can provide more downstream and biologically valuable protein level information in multiple cell subsets simultaneously using freshly obtained samples. Because the throughput of flow cytometry is currently limited, experiments may need to span over several weeks or months to obtain a sufficient sample size to demonstrate genetic association. Therefore, normalisation methods are needed to control for technical variability a

SUBMITTER: Dendrou CA 

PROVIDER: S-EPMC2798117 | biostudies-literature | 2009

REPOSITORIES: biostudies-literature