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Proceedings of the National Academy of Sciences
Article . 2002 . Peer-reviewed
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Digital karyotyping

Authors: Christoph Lengauer; Tian Li Wang; Michael R. Speicher; Christine Maierhofer; Victor E. Velculescu; Bert Vogelstein; Kenneth W. Kinzler;

Digital karyotyping

Abstract

Alterations in the genetic content of a cell are the underlying cause of many human diseases, including cancers. We have developed a method, called digital karyotyping, that provides quantitative analysis of DNA copy number at high resolution. This approach involves the isolation and enumeration of short sequence tags from specific genomic loci. Analysis of human cancer cells by using this method identified gross chromosomal changes as well as amplifications and deletions, including regions not previously known to be altered. Foreign DNA sequences not present in the normal human genome could also be readily identified. Digital karyotyping provides a broadly applicable means for systematic detection of DNA copy number changes on a genomic scale.

Related Organizations
Keywords

Genetic Markers, Herpesvirus 4, Human, Gene Dosage, Chromosome Mapping, DNA Restriction Enzymes, DNA, Neoplasm, Templates, Genetic, Sensitivity and Specificity, Microspheres, Karyotyping, DNA, Viral, Tumor Cells, Cultured, Chromosomes, Human, Humans, Biotinylation, Computer Simulation, Streptavidin, Colorectal Neoplasms, Monte Carlo Method, Analog-Digital Conversion

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    217
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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Found an issue? Give us feedback
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
217
Top 10%
Top 1%
Top 1%
bronze