Systematic variation in gene expression patterns in human cancer cell lines View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2000-03

AUTHORS

D T Ross, U Scherf, M B Eisen, C M Perou, C Rees, P Spellman, V Iyer, S S Jeffrey, M Van de Rijn, M Waltham, A Pergamenschikov, J C Lee, D Lashkari, D Shalon, T G Myers, J N Weinstein, D Botstein, P O Brown

ABSTRACT

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 tumours 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 tumour specimens revealed features of the expression patterns in the tumours that had recognizable counterparts in specific cell lines, reflecting the tumour, stromal and inflammatory components of the tumour tissue. These results provided a novel molecular characterization of this important group of human cell lines and their relationships to tumours in vivo. More... »

PAGES

227-235

Journal

TITLE

Nature Genetics

ISSUE

3

VOLUME

24

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/73432

DOI

http://dx.doi.org/10.1038/73432

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1024393583

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/10700174


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Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1038/73432'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/73432'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/73432'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/73432'


 

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