Roth K, Wolf G, Dietel M, Petersen I
Institute of Pathology of Charité, Medical School, Humboldt University of Berlin, Germany.
Anal Quant Cytol Histol. 1997 Dec;19(6):461-74.
To describe the image processing and analysis techniques we developed for the quantitative analysis of comparative genomic hybridization (CGH).
A system for CGH cytometry is based on a semiautomated karyotyping program using the Windows graphic user interface.
After alignment and normalization of the fluorescence images of the test genome (FITC) and reference genome (TRITC), the chromosomes are segmented and arranged as a CGH karyogram. The CGH karyograms from different metaphases of one tumor sample are represented as a CGH sum karyogram. Mean DAPI, FITC, TRITC and RATIO images, as well as ratio profiles with the 95% confidence interval, can be displayed.
Representation of CGH results in the form of pseudocolored mean ratio chromosomes enhances the visibility of the method. The ratio profile plus confidence interval facilitates the identification of preparation artifacts and the classification of chromosomal imbalances. The sum karyograms of several tumors can be combined into a CGH superkaryogram of a tumor subgroup; that helps identify recurrent DNA changes in a tumor and might lead to genetic tumor classification based on CGH.
描述我们为比较基因组杂交(CGH)定量分析所开发的图像处理和分析技术。
CGH细胞计数系统基于一个使用Windows图形用户界面的半自动核型分析程序。
在对测试基因组(FITC)和参考基因组(TRITC)的荧光图像进行比对和归一化处理后,对染色体进行分割并排列成CGH核型图。来自一个肿瘤样本不同中期的CGH核型图表示为CGH总和核型图。可以显示平均DAPI、FITC、TRITC和RATIO图像,以及具有95%置信区间的比率分布图。
以伪彩色平均比率染色体的形式呈现CGH结果可提高该方法的可视性。比率分布图加上置信区间有助于识别制备假象和染色体不平衡的分类。几个肿瘤的总和核型图可以合并成一个肿瘤亚组的CGH超级核型图;这有助于识别肿瘤中反复出现的DNA变化,并可能基于CGH进行肿瘤的基因分类。