Caracterização de genes humanos completos - uma extensão do Genoma Humano do Câncer

• Processo: 00/11007-6
• Modalidade de apoio: Auxílio à Pesquisa - Programa GENOMA
• Data de Início da vigência: 01 de outubro de 2000
• Data de Término da vigência: 31 de maio de 2003
• Área do conhecimento: Ciências Biológicas - Genética - Genética Humana e Médica
• Acordo de Cooperação: Instituto Ludwig
• Pesquisador responsável: Mari Cleide Sogayar
• Beneficiário: Mari Cleide Sogayar
• Instituição Sede: Instituto de Química (IQ). Universidade de São Paulo (USP). São Paulo , SP, Brasil
• Assunto(s): Vírus oncogênicos Oncogenes Expressão gênica Genoma Humano do Câncer
• Palavra(s)-Chave do Pesquisador: Clonagem Expressao Genica | Controle Da Proliferacao Celul | Oncogenes | Transformacao Maligna | Virus Tumorais

Resumo

A fundamental task in analyzing genomes is gene identification. This is relatively straightforward for compact genomes but much more challenging for complex genomes. The use of computational approaches for gene identification in complex genomes is not yet routine and it is becoming clear that gene identification will depend mainly on the alignment of finished genomic sequences with cDNA sequences. The importance of cDNA information has been recognized since the beginning of the Human Genome Project, however cost-effective and hightroughput sequencing of full-length cDNA still requires technical advances such as the production of cDNA libraries enriched for large and rare transcripts. Partial sequencing of expressed sequences (EST) has been developed as a different approach for the generation of a large-scale cDNA resource. They represent a powerful approach for gene cataloging but because of their biased distribution towards the 5 'and 3' extremities of the cDNA molecule they are inappropriate for full-length gene characterization. ORESTES is an alternative approach to generate ESTs from the central portions of transcripts that can be systematically and efficiently generated in a high-throughput format. ORESTES data complement sequences from 3' and 5' conventional ESTs and potentially allows the shotgun sequencing of the human transcriptome. (AU)