Comparing Automatic and Manual Image Processing in FLARE Assay Analysis for Colon Carcinogenesis

Leyk Malgorzata, Nguyen Danh V, Attoor Sanju N, Dougherty Edward R, Turner Nancy D, Bancroft Laura K, Chapkin Robert S, Lupton Joanne R and Carroll Raymond J
Additional contact information
Leyk Malgorzata: Texas A&M University
Nguyen Danh V: University of California, Davis
Attoor Sanju N: Texas A&M University
Dougherty Edward R: Texas A&M University
Turner Nancy D: Texas A&M University
Bancroft Laura K: Albert Einstein Cancer Center
Chapkin Robert S: Texas A&M University
Lupton Joanne R: Texas A&M University
Carroll Raymond J: Texas A&M University

Statistical Applications in Genetics and Molecular Biology, 2005, vol. 4, issue 1, 20

Abstract: Measurement of the amount of oxidative damage to DNA is one tool that can be used to estimate the beneficial effect of diet on the prevention of colon carcinogenesis. The FLARE assay is a modification of the single-cell gel electrophoresis (Comet) assay, and provides a measure of the 8OHdG adduct in the cells. In this paper, we present two innovations to the existing methods of analysis. The first one is related to the FLARE assay itself. We describe automated image analysis techniques that can be expected to measure oxidative damage faster, reproducibly, with less noise, and hence achieve greater statistical power. The proposed technique is compared to an existing technique, which was more manual and thus slower. The second innovation is our statistical analysis: we exploit the shape of FLARE intensity histograms, and show statistically significant diet effects in the duodenum. Previous analyses of this data concentrated on simple summary statistics, and found only marginally statistically significant diet effects. With the new imaging method and measure of oxidative damage, we show cells in the duodenum exposed to fish oil as having more oxidative damage than cells exposed to corn oil.

Keywords: colon carcinogenesis; comet assay; corn oil; fish oil; FLARE assay; hierarchical models; image analysis; single-cell gel electrophoresis. (search for similar items in EconPapers)
Date: 2005
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DOI: 10.2202/1544-6115.1102

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