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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 Dans En | LILACS | ID: lil-340786
Responsable en Bibliothèque : BR1.1
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
Sujets)
Texte intégral: 1 Indice: LILACS Sujet Principal: Banque de gènes / Biologie informatique / Bases de données comme sujet / Analyse de profil d'expression de gènes / Tumeurs Type d'étude: Prognostic_studies Limites du sujet: Humans langue: En Texte intégral: Braz. j. med. biol. res Thème du journal: BIOLOGIA / MEDICINA Année: 2003 Type: Article / Congress and conference
Texte intégral: 1 Indice: LILACS Sujet Principal: Banque de gènes / Biologie informatique / Bases de données comme sujet / Analyse de profil d'expression de gènes / Tumeurs Type d'étude: Prognostic_studies Limites du sujet: Humans langue: En Texte intégral: Braz. j. med. biol. res Thème du journal: BIOLOGIA / MEDICINA Année: 2003 Type: Article / Congress and conference