Literature DB >> 11001727

Medicine. DNA arrays reveal cancer in its many forms.

J Marx.   

Abstract

The use of microarrays--slides or chips systematically dotted with DNA from thousands of genes--to determine gene expression patterns is providing a wealth of new information that should aid in cancer diagnosis and ultimately in therapy. In the past several months, researchers in several labs have used microarray technology to identify specific subtypes of a variety of cancers, including leukemias and lymphomas, the dangerous skin cancer melanoma, and breast cancer. In some cases, they can determine which cancers are likely to respond to current therapies and which aren't. In addition, the studies are giving researchers a fix on which genes are important for the development, maintenance, and spread of the various cancers, and are thus possible drug targets.

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Year:  2000        PMID: 11001727     DOI: 10.1126/science.289.5485.1670

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  5 in total

1.  Expression profiling of human tumors: the end of surgical pathology?

Authors:  M Ladanyi; W C Chan; T J Triche; W L Gerald
Journal:  J Mol Diagn       Date:  2001-08       Impact factor: 5.568

Review 2.  Genetics 101: detecting mutations in human genes.

Authors:  Alison Sinclair
Journal:  CMAJ       Date:  2002-08-06       Impact factor: 8.262

3.  Boronic acid functionalized peptidyl synthetic lectins: combinatorial library design, peptide sequencing, and selective glycoprotein recognition.

Authors:  Kevin L Bicker; Jing Sun; John J Lavigne; Paul R Thompson
Journal:  ACS Comb Sci       Date:  2011-03-25       Impact factor: 3.784

4.  Six genes associated with the clinical phenotypes of individuals with deficient and proficient DNA repair.

Authors:  Tobias Gremmel; Susanne Wild; Winfried Schuller; Viola Kürten; Klaus Dietz; Jean Krutmann; Mark Berneburg
Journal:  Transl Oncogenomics       Date:  2008-02-10

5.  Dew inspired breathing-based detection of genetic point mutation visualized by naked eye.

Authors:  Liping Xie; Tongzhou Wang; Tianqi Huang; Wei Hou; Guoliang Huang; Yanan Du
Journal:  Sci Rep       Date:  2014-09-09       Impact factor: 4.379

  5 in total

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