Transcriptional Profiles of the Human Pathogenic Fungus Paracoccidioides brasiliensis in Mycelium and Yeast Cells

• Autor(a) principal: Felipe, Maria Sueli Soares
• Data de Publicação: 2005
• Outros Autores: Andrade, Rosângela Vieira de, Arraes, Fabrício B. M., Nicola, André Moraes, Maranhão, Andrea Queiroz, Torres, Fernando Araripe Gonçalves, Silva-Pereira, Ildinete, Fonseca, Marcio José Poças, Campos, Elida Geralda, Moraes, Lídia Maria Pepe de, Andrade, Patrícia Albuquerque de, Tavares, Aldo Henrique Fonseca Pacheco, Silva, Simoneide Souza, Kyaw, Cynthia Maria, Souza, Diorge Paulo de, PbGenome, Network, Pereira, Maristela, Jesuíno, Rosália Santos Amorim, Andrade, Edmar Vaz de, Parente, Juliana Alves, Oliveira, Gisele Silva de, Barbosa, Mônica Santiago, Martins, Natalia Florêncio, Saltoratto, Ana Lucia Fachin, Cardoso, Renato Sousa, Passos Júnior, Geraldo Aleixo da Silva, Almeida Junior, Nalvo Franco de, Walter, Maria Emília Machado Telles, Soares, Célia Maria de Almeida, Carvalho, Maria José Albuquerque de, Brigido, Marcelo de Macedo
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Institucional da UCB
• Texto Completo: http://twingo.ucb.br:8080/jspui/handle/10869/602; https://repositorio.ucb.br:9443/jspui/handle/123456789/7864

Paracoccidioides brasiliensis is the causative agent of paracoccidioidomycosis, a disease that affects 10 million individuals in Latin America. This report depicts the results of the analysis of 6,022 assembled groups from mycelium and yeast phase expressed sequence tags, covering about 80% of the estimated genome of this dimorphic, thermo-regulated fungus. The data provide a comprehensive view of the fungal metabolism, including overexpressed transcripts, stage-specific genes, and also those that are up- or down-regulated as assessed by in silico electronic subtraction and cDNA microarrays. Also, a significant differential expression pattern in mycelium and yeast cells was detected, which was confirmed by Northern blot analysis, providing insights into differential metabolic adaptations. The overall transcriptome analysis provided information about sequences related to the cell cycle, stress response, drug resistance, and signal transduction pathways of the pathogen. Novel P. brasiliensis genes have been identified, probably corresponding to proteins that should be addressed as virulence factor candidates and potential new drug targets.