Genome-scale metabolic models in cancer research

HORARIO: miércoles 10 de junio de 2015, a las 17:00

LUGAR: Salón de Grados de la Facultad de Informática

TÍTULO: "Genome-scale metabolic models in cancer research"

RESUMEN: The release of several high-quality genome-scale metabolic networks (GSMNs) in humans has stimulated their use to address medical questions. Based on these GSMNs and experimental "omics" data, mathematical models are emerging aiming to understand underlying metabolic processes associated with disease, which can potentially guide the development of a better prognosis, diagnosis and therapy. One of the most relevant frameworks is constraints-based modeling (CBM), which allows prediction of distinct metabolic phenotypes, such as growth rate and gene essentiality analysis, as well as nutrient uptake and byproduct secretion rates. We present a novel CBM approach based on transcriptomic data for the elucidation of novel drug targets in cancer and show preliminary experimental results in different tumors. We discuss future directions and possible extension to other therapeutic areas.

 

 

PONENTE: Dr. Francisco J. Planes, Head of Bioinformatics Unit, CEIT (Centro de Estudios e Investigaciones Técnicas), Spain

Bio: Francisco J. Planes completed his PhD in Bioinformatics at Brunel University in 2008. He was awarded the Vice-Chancellor's Prize for Doctoral Research at Brunel University. He subsequently joined the Bioinformatics group at CEIT and University of Navarra. Currently, Dr. Planes is the head of Bioinformatics group at CEIT and associate professor at University of Navarra since September 2012. His research has been focused on the development of novel mathematical models, mainly based on optimization and statistical techniques, for the analysis of metabolic networks in the context of high-throughput technologies (genomics, transcriptomics, proteomics, metabolomics and meta-omics) with applications to biotechnology, health, ecology and pharmacology.

IDIOMA: castellano

DURACIÓN TOTAL ESTIMADA: 75 minutos