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Trends in Bioinformatics: a seminar

What Seminar
When 2007-09-20
from 16:00 to 18:00
Where - Parco Tecnologico - Pula (Edificio2)
Contact Name Giuliana Brunetti
Contact Email brunetti@crs4.it

"Systems Biology approaches to understand the function of the p63 gene" - Diego di Bernardo (TIGEM)

For the "Trends in Bioinformatics" seminar series

on Thursday 20 September 2007

in n.2 building of the technology Park in Pula

at 04:00 PM

the seminar: "Systems Biology approaches to understand the function of the p63 gene"

speaker: Diego di Bernardo, group leader of the Systems Biology Lab at the Telethon Institute for Genetics and Medicine (TIGEM), Napoli.


The seminar is open to all, but for reasons of organization, it is kindly requested the participants to be registered by sending an email to brunetti@crs4.it with your name and affiliation and seminar title as object.


 Download the presentation.

Abstract

One of the grand challenges in the future of genomics research is the need to develop computational and experimental methods to detect gene-gene and gene-environment interactions for identifying the genetic contributions to disease and drug response. Scientists have been successful in cataloging genes through genome sequencing projects, and we can now generate vast quantities of gene expression data using microarrays. However, the biology community has had far less success in understanding how genes and proteins are connected and operate within networks. When a cell is perturbed (whether by a drug or in a disease state), it is important to understand how it will respond in terms of gene expression and protein interactions.
We will present our latest research on the development and application of an integrated experimental and computational approach to identify the function of the gene p63, a member of the p53-family of transcription factors, whose mutations are causative of human malformation syndromes. We show that using appropriate time-series gene expression data, we are able to reverse-engineer the local network surrounding the p63 gene. We validated the results via whole-genome chromatin immunoprecipitation and siRNA assays.


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Short Biography

Diego di Bernardo is one of the leading scientist in the field of Systems Biology. His research interests are in computational and systems biology with particular emphasis on the development and application of algorithms to reverse-engineer gene networks in the cell from multiple data sources to elucidate disease gene function and the mode-of-action of novel pharmacological compounds. He is author of more than 20 publications, also on Nature and Science.

Diego di Bernardo was awarded a “Laurea cum laude” Degree in Electronic Engineering and in his graduation thesis he developed a mathematical model of the electrical activity of the heart. In 2001 he was awarded a Ph.D. degree from the School of Medicine of the University of Newcastle, UK, with the supervision of Prof. Alan Murray. His Ph.D. thesis describes a novel computational model for the analysis of the electrocardiogram. Until May 2002 he was a PostDoc fellow at the Wellcome Trust Sanger Center in Cambridge (UK) where he was employed in June 2001. From June 2002 to December 2002 he was a PostDoc fellow in the Department of Biomedical Engineering in Boston University, USA. Since January 2003 he is a principal investigator at the Telethon Institute of Genetics and Medicine in Naples (Italy).

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