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<strong>EMBL</strong> Research at a Glance 2009<br />
Anne-Claude<br />
Gavin<br />
PhD 1992, University of<br />
Geneva.<br />
Postdoctoral research at <strong>EMBL</strong>.<br />
Biochemical and chemical approaches to<br />
biomolecular networks<br />
Previous and current research<br />
How is biological matter organised? Can the protein and chemical worlds be matched to understand<br />
the cell’s inner works? As our knowledge about the basic building blocks of eukaryotic<br />
genomes, proteomes and metabolomes grows, the challenge remains to understand how these<br />
parts relate to each other. At cellular levels, gene products very rarely act alone; the orchestration<br />
of complex biological functions is the result of networks of molecules. Traditional approaches have<br />
typically focussed on a few, selected gene products and their interactions in a particular physiological<br />
context. We are proponents and pioneers of more general strategies aiming at understanding<br />
complex biological systems, and follow three main lines of research to understand the<br />
principles that govern the assembly of these networks.<br />
Director, Molecular and Cell<br />
The charting of protein-protein interaction networks: Our knowledge of protein-protein interaction<br />
is still anecdotal; current estimations reveal that probably less than 10% have been charac-<br />
Biology, Cellzome AG,<br />
Heidelberg.<br />
terised so far. We adopted tandem-affinity purification/mass spectrometry (TAP/MS) technology<br />
Group leader at <strong>EMBL</strong> since<br />
2005.<br />
to perform a genome-wide analysis of protein complexes in the yeast S. cerevisiae. More than 400<br />
different protein complexes, more than half entirely novel, were characterised. The approach was<br />
particularly successful in further extensive collaborations within the programme, which aimed<br />
the structural characterisation of protein complexes through integration of electron microscopy data and in silico approximations.<br />
The study of protein complexes and network order of assembly and dynamics: Generally, the use of protein interaction networks to predict<br />
the behaviour of whole systems has been relatively limited. Protein networks usually fail to capture the dynamic aspect of protein interactions<br />
that is essential for the functioning of the whole cell. The charting and modelling of the highly dynamic assembly and reorganisation<br />
of protein complexes following cell perturbation represents one of the major current research interests of the group.<br />
The extension of interaction networks from proteins to other cell’s building blocks; metabolites-on-proteomes networks: Metabolites account<br />
for about half of the cell’s volume and represent important class of biomolecules. They have long been considered simple building blocks<br />
for the assembly of more complex macromolecules. It is however becoming evident that the interactions between the metabolites’ and the proteins’<br />
worlds are not limited to substrate/product relationships. Metabolites can have well known signalling functions and many proteins are<br />
allosterically modulated by metabolites. These bindings are sometimes mediated by a variety of specialised domains. Every time it has been possible<br />
to chart such interactions they turned out to have profound functional implications.<br />
The interactions taking place between the cell’s chemical world and proteomes are<br />
still poorly defined and have certainly not yet been studied in a comprehensive way;<br />
this represents the second major research interest of the group.<br />
Future projects and goals<br />
• Analysis of the order of assembly and dynamic nature of yeast protein complexes,<br />
in a pathway oriented approach.<br />
• Further development and improvement of existing chemical biology methods,<br />
based on affinity purification (‘metabolite pull-down’) to monitor protein-metabolites<br />
interaction.<br />
• Global screen aiming at the systematic charting of the interactions between<br />
the proteome and the metabolome in Saccharomyces cerevisiae.<br />
• Develop new and existing collaborations with computational and structural<br />
biology groups at <strong>EMBL</strong> and outside to tackle the structural and functional<br />
aspects of biomolecular recognition.<br />
Graphic: Petra Riedinger<br />
Selected references<br />
Charbonnier, S., Gallego, O. & Gavin, A.C. (2008). The social network<br />
of a cell: Recent advances in interactome mapping. Biotechnol.<br />
Annu. Rev., 1, 1-28<br />
Kuhner, S. & Gavin, A.C. (2007). Towards quantitative analysis of<br />
proteome dynamics. Nat. Biotechnol., 25, 298-300<br />
6<br />
Gavin, A.C., Aloy, P., Grandi, P., Krause, R., Boesche, M. et al.<br />
(2006). Proteome survey reveals modularity of the yeast cell<br />
machinery. Nature, 0, 631-636<br />
Aloy, P., Böttcher, B., Ceulemans, H., Leutwein, C., Mellwig, C.,<br />
Fischer, S., Gavin, A.C., Bork, P., Superti-Furga, G., Serrano, L. &<br />
Russell, R.B. (200). Structure-based assembly of protein complexes<br />
in yeast. Science, 303, 2026-2029