Literature DB >> 18628898

Cancer and the web.

M R Albertella1.   

Abstract

The applications of functional genomics, proteomics and informatics to cancer research have yielded a tremendous amount of information, which is growing all the time. Much of this information is available publicly on the Internet and ranges from general information about different cancers from a patient or clinical viewpoint, through to databases suitable for cancer researchers of all backgrounds, to very specific sites dedicated to individual genes or molecules. A simple search for 'cancer' from a typical Web browser search engine yields more than half a million hits; an even more specific search for 'leukaemia' (>40 000 hits) or 'p53' (>5700 hits) yields far too many hits to allow one to identify particular sites of interest. This review aims to provide a brief guide to some of the resources and databases that can be used as springboards to home in rapidly on information relevant to many fields of cancer research. As such, this article will not focus on a single website but hopes to illustrate some of the ways that postgenomic biology is revolutionizing cancer research. It will cover genomics and proteomics approaches that have been applied to studying global expression patterns in cancers, in addition to providing links ranging from general information about cancer to specific cancer gene mutation databases.

Entities:  

Year:  2001        PMID: 18628898      PMCID: PMC2447193          DOI: 10.1002/cfg.65

Source DB:  PubMed          Journal:  Comp Funct Genomics        ISSN: 1531-6912


  10 in total

Review 1.  A survey of web resources for basic cancer genetics research.

Authors:  C J Bult; D M Krupke; B J Tennent; J T Eppig
Journal:  Genome Res       Date:  1999-05       Impact factor: 9.043

2.  Mouse tumor biology database (MTB): enhancements and current status.

Authors:  C J Bult; D M Krupke; J P Sundberg; J T Eppig
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

3.  Systematic variation in gene expression patterns in human cancer cell lines.

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
Journal:  Nat Genet       Date:  2000-03       Impact factor: 38.330

4.  A gene expression database for the molecular pharmacology of cancer.

Authors:  U Scherf; D T Ross; M Waltham; L H Smith; J K Lee; L Tanabe; K W Kohn; W C Reinhold; T G Myers; D T Andrews; D A Scudiero; M B Eisen; E A Sausville; Y Pommier; D Botstein; P O Brown; J N Weinstein
Journal:  Nat Genet       Date:  2000-03       Impact factor: 38.330

5.  Serial analysis of gene expression.

Authors:  V E Velculescu; L Zhang; B Vogelstein; K W Kinzler
Journal:  Science       Date:  1995-10-20       Impact factor: 47.728

Review 6.  Molecular profiling of human cancer.

Authors:  L Liotta; E Petricoin
Journal:  Nat Rev Genet       Date:  2000-10       Impact factor: 53.242

7.  A protein expression database for the molecular pharmacology of cancer.

Authors:  T G Myers; N L Anderson; M Waltham; G Li; J K Buolamwini; D A Scudiero; K D Paull; E A Sausville; J N Weinstein
Journal:  Electrophoresis       Date:  1997 Mar-Apr       Impact factor: 3.535

8.  Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling.

Authors:  A A Alizadeh; M B Eisen; R E Davis; C Ma; I S Lossos; A Rosenwald; J C Boldrick; H Sabet; T Tran; X Yu; J I Powell; L Yang; G E Marti; T Moore; J Hudson; L Lu; D B Lewis; R Tibshirani; G Sherlock; W C Chan; T C Greiner; D D Weisenburger; J O Armitage; R Warnke; R Levy; W Wilson; M R Grever; J C Byrd; D Botstein; P O Brown; L M Staudt
Journal:  Nature       Date:  2000-02-03       Impact factor: 49.962

Review 9.  Human and mouse proteomic databases: novel resources in the protein universe.

Authors:  J E Celis; M Ostergaard; N A Jensen; I Gromova; H H Rasmussen; P Gromov
Journal:  FEBS Lett       Date:  1998-06-23       Impact factor: 4.124

10.  Website review: The Jackson Laboratory Mouse Genome Informatics Site: version 2.3.2.

Authors:  J Wixon
Journal:  Yeast       Date:  2000-06-30       Impact factor: 3.239

  10 in total

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