An optimized, fully automated system for fast and accurate identification of chromosomal rearrangements by multiplex-FISH (M-FISH)

被引:98
作者
Eils, R
Uhrig, S
Saracoglu, K
Sätzler, K
Bolzer, A
Petersen, I
Chassery, JM
Ganser, M
Speicher, MR
机构
[1] Univ Munich, Inst Anthropol & Human Genet, D-80336 Munich, Germany
[2] Heidelberg Univ, Interdisciplinary Ctr Sci Comp, Heidelberg, Germany
[3] Steinbeis Transfer Ctr Analyt Methods Mol Cytogen, Heidelberg, Germany
[4] Univ Hosp Charite, Inst Pathol, Berlin, Germany
[5] Univ Grenoble 1, CNRS URA 1618, Lab TIMC, Grenoble, France
[6] Leica Mikroskopie & Syst GMBH, Wetzlar, Germany
来源
CYTOGENETICS AND CELL GENETICS | 1998年 / 82卷 / 3-4期
关键词
D O I
10.1159/000015092
中图分类号
Q2 [细胞生物学];
学科分类号
071009 ; 090102 ;
摘要
Multiplex-FISH (M-FISH) is a recently developed technique by which each of the two dozen human chromosomes-the 22 autosomes and the X and Y sex chromosomes-can be stained or "painted" with uniquely distinctive colors. Using a combinatorial labeling technique and a specially designed filter set, each DNA probe can be identified by its unique spectral signature. Here we present several significant optimizations of the M-FISH technology. First, a new strategy for labeling the probes is described which allows for easy and fast production of the complex M-FISH probe mix. Second, a newly developed, completely motorized microscope equipped with an eight-position filter wheel and a new generation of filter sets is presented that allows fully automatic imaging of a complete metaphase spread within seconds. Third, to determine the characteristic spectral signatures for all different combinations of fluorochromes, we developed a novel multichannel image analysis method. The spectral analysis is solely guided by the image information itself and does not require any user interaction. A complete analysis of a metaphase spread can be accomplished in less than 3 min. Sophisticated built-in quality controls were developed, and the value of visual inspection of M-FISH images as a simple means of controlling the computer-generated chromosome classification are illustrated. In addition, we discuss advantages of adding new fluorochromes to the traditionally used five fluorochromes.
引用
收藏
页码:160 / 171
页数:12
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