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Status |
Public on Jun 27, 2002 |
Title |
Human cancer cell lines |
Organism |
Homo sapiens |
Experiment type |
Expression profiling by array
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Summary |
We used cDNA microarrays to explore the variation in expression of approximately 8,000 unique genes among the 60 cell lines used in the National Cancer Institute's screen for anti-cancer drugs. Classification of the cell lines based solely on the observed patterns of gene expression revealed a correspondence to the ostensible origins of the tumors from which the cell lines were derived. The consistent relationship between the gene expression patterns and the tissue of origin allowed us to recognize outliers whose previous classification appeared incorrect. Specific features of the gene expression patterns appeared to be related to physiological properties of the cell lines, such as their doubling time in culture, drug metabolism or the interferon response. Comparison of gene expression patterns in the cell lines to those observed in normal breast tissue or in breast tumor specimens revealed features of the expression patterns in the tumors that had recognizable counterparts in specific cell lines, reflecting the tumor, stromal and inflammatory components of the tumor tissue. These results provided a novel molecular characterization of this important group of human cell lines and their relationships to tumors in vivo. This study is described more fully in Ross DT et al.(2000) Nat Genet 24:227-35 Keywords: other
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Contributor(s) |
Ross DT, Scherf U, Eisen U, Perou CM, Rees C, Spellman P, Iyer V, Jeffrey SS, van de Rijn M, Waltham M, Pergamenschikov A, Lee JC, Lashkari D, Shalon D, Myers TG, Weinstein JN, Botstein D, Brown PO |
Citation(s) |
10700174 |
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Submission date |
Jun 24, 2002 |
Last update date |
Feb 23, 2012 |
Organization |
Stanford Microarray Database (SMD) |
E-mail(s) |
array@genome.stanford.edu
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Phone |
650-498-6012
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URL |
http://genome-www5.stanford.edu/
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Department |
Stanford University, School of Medicine
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Street address |
300 Pasteur Drive
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City |
Stanford |
State/province |
CA |
ZIP/Postal code |
94305 |
Country |
USA |
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Platforms (2) |
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Samples (68)
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Relations |
BioProject |
PRJNA85373 |
Supplementary data files not provided |
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