Conferencia "Gene expression regulation on brain tissue: the UKBEC project" (25 de abril)

El Máster Universitario en Bioinformática organiza la conferencia "Gene expression regulation on brain tissue: the UKBEC project" que tendrá lugar el próximo lunes.

El Máster Universitario en Bioinformática organiza la conferencia "Gene expression regulation on brain tissue: the UKBEC project" que tendrá lugar el próximo lunes.

HORARIO: lunes 25 de abril de 2016, a las 12:00

LUGAR: Sala de Grados, Facultad de Informática

TÍTULO: "Gene expression regulation on brain tissue: the UKBEC project"

RESUMEN: UKBEC (United Kingdom Brain Expression Consortium) has the aim of studying the mechanisms of gene expression regulation in human brain. For that, it works on the creation of regulation models based on (1) expression quantitative trait loci, (2) allele specific expression and (3) co-expression networks. During the first data release from the consortium, braineac.org was created to facilitate sharing results with the research community. Braineac is a database of gene expression and its regulation for 10 brain regions based on samples collected by the Medical Research Council (MRC) Sudden Death Brain and Tissue Bank, Edinburgh, UK from 134 neuro-pathologically normal individuals. Gene expression profiling were based on  Affymetrix Human Exon 1.0 ST Arrays. Genotyping were performed with Illumina Infinium Omni1-Quad BeadChip and on Immunochip. We will introduce this resource, currently hosted at Universidad de Murcia, and explain how it can help researchers working on brain diseases. On a second part of the talk, we will focus on the creation of the second release of the Braineac resource, based on RNA-seq technology that allows a genome-wide study of regulation mechanisms. Particularly, we will explain our systems biology perspective of two key regions of the brain for Parkinson's disease: the substantia nigra and the putamen. We will introduce our approach for the creation of co-expression networks from the UKBEC samples of these two areas by using a well known R package: Weighted Gene Co-expression Network Analysis (WGCNA). We will also show how we can optimise such networks for a more useful and accurate downstream analysis. And finally, we will show some of the results generated from such networks.

PONENTE: Dr. Juan A. Botía is Research Associate at Institute of Neurology, University College London. Associate professor at Departamento de Ingeniería de la Información y las Comunicaciones. Universidad de Murcia, Spain.

IDIOMA: castellano

DURACIÓN TOTAL ESTIMADA: 90 minutos