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Spectral Karyotyping

Published online by Cambridge University Press:  02 July 2020

Thomas Ried
Affiliation:
National Center for Human Genome Research, National Institutes of Health, Bethesda, Maryland
Merryn Macville
Affiliation:
National Center for Human Genome Research, National Institutes of Health, Bethesda, Maryland
Stan du Manoir
Affiliation:
National Center for Human Genome Research, National Institutes of Health, Bethesda, Maryland
Tim Veldman
Affiliation:
National Center for Human Genome Research, National Institutes of Health, Bethesda, Maryland
Zoe Weaver
Affiliation:
National Center for Human Genome Research, National Institutes of Health, Bethesda, Maryland
Marek Liyanage
Affiliation:
National Center for Human Genome Research, National Institutes of Health, Bethesda, Maryland
Evelin Schröck
Affiliation:
National Center for Human Genome Research, National Institutes of Health, Bethesda, Maryland
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Extract

In human leukemia and solid tumors cytogenetic analysis provides critical information of diagnostic and prognostic importance. Frequently however, the unambiguous characterization of all aberrant chromosomes is difficult using conventional chromosome banding techniques alone. We have developed a novel approach, termed spectral karyotyping (SKY), based on the hybridization of 24 differentially labeled human chromosome painting probes that allows the simultaneous color identification of all human chromosomes. This genome scanning method combines Fourier spectroscopy, CCD-imaging, and optical microscopy to visualize the hybridization of differentially labeled chromosomes painting probes. One of the most important analysis algorithms is the spectral-based classification algorithm that enables multiple different spectra in the image to be identified and highlighted in classification-colors. This allows assignment of a specific classification-color to all human chromosomes based on their spectra. This algorithm assumes that the (reference) spectrum of each chromosome has been measured and stored in a reference library in the computer

Type
Genomes, Chromsomes and Genes: Emerging Technologies
Copyright
Copyright © Microscopy Society of America 1997

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References

1. Schröck, E.S. et al., Multicolor spectral karyotyping of human chromosomes.Science (1996) 273:494497.Google Scholar

2. Liyanage, M. et al., Multicolour spectral karyotyping of mouse chromosomes. Nature Genet (1996) 14:312315.Google Scholar

3. Garini, Y. et al., Spectral karyotyping. Bioimaging (1996) 4:6572.Google Scholar

4. veldman, T. et a., Hidden chromosome abnormalities in hematological malignancies detected by mutlicolor spectral karyotyping. Nature Genet (1997) 15:406410.Google Scholar