Potential for Tumor Classification

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Science  10 Aug 2001:
Vol. 293, Issue 5532, pp. 1015
DOI: 10.1126/science.293.5532.1015c

Assessing normal and aberrant patterns of gene expression, such as occur in tumor cells, presents challenges in compiling and organizing large amounts of data. Lu et al. have extended the comparative genomic hybridization (CGH) approach, which detects chromosomal imbalances, in order to survey differences in gene expression across chromosomes in a straightforward and hypothesis-independent manner. In comparative expressed sequence hybridization (CESH), two batches of cDNA probes—one representing RNA from a drug-resistant leukemia cell line (W1L2:R865) and labeled with a red fluorophore, the other representing RNA from the parent drug-sensitive cell line and labeled with a green fluorophore—were applied to the usual metaphase chromosome preparation. The ratio of red to green revealed differential expression of chromosome regions, which then can be investigated further for specific genes with microdissection or microarray analysis. — GJC

Proc. Natl. Acad. Sci. U.S.A.98, 9197 (2001).

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