Validation of a fully automated COMET assay: 1.75 million single cells measured over a 5 year period.
The COMET assay is recognized as a rapid and sensitive method in quantifying radiation induced DNA damage. We investigated the distorting influence of endogenous, assay-inherent factors onto base (single cell level) and primary outcome measures (experimental/slide level), such as olive tail moment (OTM) and percentage DNA in the tail (%tail-DNA). From 2003 to 2008, we performed the assay on lymphocytes isolated from the blood samples of 355 lung cancer patients, 170 controls, and 610 relatives, as well as one single reference individual, repeated 170 times. In total, the data from 10,016 single experiments containing around 1,750,000 cells have been included in this study. This is the first time that the endogenous variability of the COMET assay has been validated systematically on such a huge data set over a 5 year period. Assuming that the reference sample reflects assay specific white noise, we estimated a proportion of 7-95% of the variability of the outcome measures due to assay variation (white noise) depending on parameter, exposure level, and study group. The proportion of white noise was largest for the initial radiation damage. The specific endogenous factors considered attribute to 14.8% of the total variability in the primary outcome measurements of the OTM and 6.9% of the %tail-DNA. OTM turns out to be a sensitive parameter to detect variation, but is also more susceptible to disturbance caused by endogenous factors than %tail-DNA. To reduce the experimental variability in COMET assays, we recommend a highly standardized operation protocol as well as inspecting and/or adjusting the primary outcome measures according to endogenous factors before calculating secondary outcome measures, e.g. DNA repair capacity (DRC) or testing statistical inference. A human reference (HR) sample is also useful to inspect homogeneity in the temporal progression of long lasting investigations, but not for calibrating primary outcome measurements.
Department of Genetic Epidemiology, University Medical Center, Georg-August-University Göttingen, Humboldtallee 32, 37073 Göttingen, Germany. arosenb@gwdg.de
Albert
A
Rosenberger
Ute
U
Rössler
Sabine
S
Hornhardt
Wiebke
W
Sauter
Heike
H
Bickeböller
H-Erich
HE
Wichmann
Maria
M
Gomolka
D016477:Artifacts; D001331:Automation; D002138:Calibration; D016022:Case-Control Studies; D020552:Comet Assay / Q000379:methods* / Q000592:standards / Q000706:statistics & numerical data*; D006801:Humans; D008175:Lung Neoplasms / Q000235:genetics / Q000473:pathology; D008297:Male; D008875:Middle Aged; D012015:Reference Standards; D059010:Single-Cell Analysis / Q000379:methods* / Q000592:standards / Q000706:statistics & numerical data*; D013997:Time Factors; D044465:White People / Q000235:genetics