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What can digital transcript profiling reveal about human cancers?
Cerutti, J. M; Riggins, G. J; Souza, S. J. de.
  • Cerutti, J. M; Universidade Federal de Säo Paulo. Departamento de Medicina. Divisäo de Endocrinologia. Laboratório de Endocrinologia Molecular. Säo Paulo. BR
  • Riggins, G. J; Duke University Medical Center. Durham. US
  • Souza, S. J. de; Instituto Ludwig de Pesquisa sobre o Câncer. Säo Paulo. BR
Braz. j. med. biol. res ; 36(8): 975-985, Aug. 2003. ilus
Article in English | LILACS | ID: lil-340786
ABSTRACT
Important biological and clinical features of malignancy are reflected in its transcript pattern. Recent advances in gene expression technology and informatics have provided a powerful new means to obtain and interpret these expression patterns. A comprehensive approach to expression profiling is serial analysis of gene expression (SAGE), which provides digital information on transcript levels. SAGE works by counting transcripts and storing these digital values electronically, providing absolute gene expression levels that make historical comparisons possible. SAGE produces a comprehensive profile of gene expression and can be used to search for candidate tumor markers or antigens in a limited number of samples. The Cancer Genome Anatomy Project has created a SAGE database of human gene expression levels for many different tumors and normal reference tissues and provides online tools for viewing, comparing, and downloading expression profiles. Digital expression profiling using SAGE and informatics have been useful for identifying genes that have a role in tumor invasion and other aspects of tumor progression
Subject(s)
Full text: Available Index: LILACS (Americas) Main subject: Gene Library / Computational Biology / Databases as Topic / Gene Expression Profiling / Neoplasms Type of study: Prognostic study Limits: Humans Language: English Journal: Braz. j. med. biol. res Journal subject: Biology / Medicine Year: 2003 Type: Article / Congress and conference Affiliation country: Brazil / United States Institution/Affiliation country: Duke University Medical Center/US / Instituto Ludwig de Pesquisa sobre o Câncer/BR / Universidade Federal de Säo Paulo/BR

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Full text: Available Index: LILACS (Americas) Main subject: Gene Library / Computational Biology / Databases as Topic / Gene Expression Profiling / Neoplasms Type of study: Prognostic study Limits: Humans Language: English Journal: Braz. j. med. biol. res Journal subject: Biology / Medicine Year: 2003 Type: Article / Congress and conference Affiliation country: Brazil / United States Institution/Affiliation country: Duke University Medical Center/US / Instituto Ludwig de Pesquisa sobre o Câncer/BR / Universidade Federal de Säo Paulo/BR