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

Dendrou, CA; Fung, E; Esposito, L; Todd, JA; Wicker, LS; Plagnol, V; (2009) Fluorescence intensity normalisation: correcting for time effects in large-scale flow cytometric analysis. Adv Bioinformatics 476106 - ?. 10.1155/2009/476106. Gold open access

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 and compare flow cytometry data over an extended period of time. We show how the use of normalising fluorospheres improves the repeatability of a cell surface CD25-APC mean fluorescence intensity phenotype on CD4(+) memory T cells. We investigate two types of normalising beads: broad spectrum and spectrum matched. Lastly, we propose two alternative normalisation procedures that are usable in the absence of normalising beads.

Type:Article
Title:Fluorescence intensity normalisation: correcting for time effects in large-scale flow cytometric analysis.
Location:Egypt
Open access status:An open access publication
DOI:10.1155/2009/476106
Language:English
Additional information:PMCID: PMC2798117
UCL classification:UCL > School of Life and Medical Sciences > Faculty of Life Sciences > Biosciences (Division of) > Genetics, Evolution and Environment > UCL Genetics Institute

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