|
|
Materials and MethodsTissue imprints from follicular lymphomas and lymph nodes with follicular hyperplasia were analysed for the presence of t(14;18) by using a dual color IgH/BCL2 FISH probe mix (Vysis Inc.). The major criteria for the presence of the translocation were colocalizations of the red and green hybridization signals on both involved alleles (Figure 1). The range of spot distances in case of dual fusions was demonstrated by a break apart probe on a separate area of the same slide (C-MYC, Vysis Inc.) (Figure 2). For the analysis of a large cell number the automatic image analysis system Metafer-MetaCyte (MetaSystems, Germany) was used. The system was mounted to an Axioplan 2 motorized microscope (Carl Zeiss, Germany), and included a high resolution CCD camera, an 8 slide motorized scanning stage (Maerzhaeuser, Germany) and a microcomputer system (Pentium IV, 1.8 GHz, Windows 2000 operating system). A predefined area on a slide was scanned without gaps, isolated cells (nuclei) were identified and images captured in three colors. As signals are randomly distributed across the 3-dimensional nuclei, extended focus images calculated from focus stacks were used for FISH spot analysis. For at least 1000 cells per sample Metafer-MetaCyte automatically detected the FISH signals and measured 3-dimensional distances between spots of different colors. The two shortest distances between spots of different colors are indicative for the presence or absence of a double fusion. As a short second smallest distance implies an even shorter smallest distance, it is sufficient to check for the second smallest distance as a criterion for a double fusion (Figure 1+2).
|
ResultsThe values of spot distances measured in non-neoplastic lymph node samples hybridized with the IgH/BCL2 probe (Figure 3A) were comparable to values from a control slide hybridized with probes of similar size (data not shown). In both cases purely random colocalisations give rise to a sub-population of cells showing a low value of the smallest red-green spot distance. In follicular lymphomas with t(14;18) translocation the two shortest spot distances were significantly smaller as a result of the translocation (Figure 3B, 3C). Whereas the shortest spot distance reflects random signal colocalizations as well as true fusions, a low value of the second shortest spot distance was clearly specific for translocated cells. Differences between histograms of control and translocated cell populations suggested a distinctive distance value for translocated cells. The break apart c-myc probe showed the distribution range for fused signals (1-12 pixels for the first and 1-18 pixels for the second shortest spot distance, Figure 2). Considering a safety zone between 18 and 12 pixel we concluded, that cells with less than 12 pixel second shortest spot distance can be all interpreted as translocated cells (Figure 2+3).
|
ConclusionFISH signal count can be influenced by technical factors (proteolytic and stringency variables) as well as by biological factors (e.g. chromosomal breaks, losses and gains). The detection of balanced translocations in interphase nuclei can be specifically carried out by reciprocal signal fusions on both alleles involved (Figure 1). The probability of a random signal fusion in the interphase nucleus is generally at 3% (unpublished data). In conclusion, the theoretical probability of random double signal fusions in the absence of a translocation is at 0.09% (3%x3%). This would reflect a higher sensitivity for a given translocation than many currently used PCR-based molecular approaches. However, to reach this level the evaluation of high cell numbers is necessitated. High throughput automatic measurement of the spot distance distribution using MetaSystems Metafer-MetaCyte significantly improves the power of FISH. The described approach enables a sensitive statistical evaluation of large cell numbers and is clinically applicable for the quantitative demonstration of cytogenetically aberrant small cell populations.
ReferencesKönig M, Reichel M, Marschalek R, Haas OA, Strehl S (2002)
|
(c) 2004 by MetaSystems