Networks in the Life Sciences – Genomics, Proteomics and Systems Biology
14th EMBL PhD Symposium

25th–27th October 2012

Speaker: Prof. Dr. Luis Serrano

  • CRG (Centre for Genomic Regulation) Systems Biology Unit, Barcelona
  • EMBO member
  • Founder of 4 biotech companies

Background

Luis Serrano Director & principal investigator at the CRG (Centre for Genomic Regulation) Systems Biology Unit, Barcelon, Luis Serrano has founded four biotech companies, serves on several scientific advisory boards and hold 8 international patents. He is interested in the prediction and manipulation of protein–nucleic acid & protein–protein affinities, especially with reference to evolution and therapeutics.

Talk: Integrative approaches using proteomics, genomics, metabolomics and biochemistry to understand in a quantitative way a living organism.

Systems Biology aims to understand living systems at different levels to the point that accurate predictive models can be formulated. In order to achieve this static and dynamic data at different levels (genomics, proteomics, metabolomics, structural biology, imaging etc. …) needs to be acquired and integrated in a meaningful way. This is a daunting task which will test the limits of our knowledge and technical ability, and even more so due to the higher sensitivity and resolution of new –omics methodologies.

In a collaborative project involving different research groups, we have selected one of the smallest bacteria that can be grown in the test tube for a global systems biology analysis. We have acquired global quantitative and dynamic data on proteomics, genomics, metabolomics, 3D chromosome structure, methylomics of the DNA and biochemistry analysis of selected proteins. Our analysis reveals an amazing level of complexity and regulation for such an smaller organism, as well as identifies new features in transcriptional, posttranslational and chromosome structural features previously not known. In my presentation I will review the data we have acquired and highlight surprising new findings yielded by the integration of this data.