Systems microscopy a key enabling methodology for next-generation systems biology. (System Microscopy)
Next-generation systems biology requires methods that can capture data and build models in four dimensions, three-dimensional space and time, and needs to address dynamic events in single living cells. In fact, recent advances in automated fluorescence microscopy, cell microarray platforms, highly specific probes, quantitative image analysis and data mining provide a powerful emerging technology platform to enable systems biology of the living cell.
Next-generation systems biology requires methods that can capture data and build models in four dimensions, three-dimensional space and time, and needs to address dynamic events in single living cells. In fact, recent advances in automated fluorescence microscopy, cell microarray platforms, highly specific probes, quantitative image analysis and data mining provide a powerful emerging technology platform to enable systems biology of the living cell.
Systems Biology analysis of Cell Division. Systems Biology Analysis of Cell Migration. Development of statistics and bioinformatics tools for multi-dimensionalimage-based data. Development and application of modelling methods for systems microscopy
Model and refined predictions of protein-protein complex functions in mitotic modules; Validation of protein complex functions in live cell imaging-based structure function assays; Cell division genes analyzed in several cell types using the cell microarray; Public release of software for matching functional gene modules and phenotypic categories; report on protein localization modelling on steady-state structures; Technical report on protein dynamics
Through close multidisciplinary collaborations in our programme of joint activities this NoE will develop a powerful enabling platform for next-generation systems biology and will apply these tools to understand cellular systems underlying human cancer. This provides a unique opportunity for Europe to acquire a global lead in systems microscopy and integrated workflow for high-throughput FCCS;
GISUM (Software Engineering Group of the University of Malaga)
Code PAIDI: TIC136
Juan Antonio Garcia Ranea. Socio.
Universidad de Málaga
Budget of Andalusian group: € 910,820.80
- Karolinska Institutet
- European Molecular Biology Laboratory
- Weizmann Institute of Science
- Helsingin Yliopisto
- Eidgenössische Technische Hochschule Zürich
- Universiteit Leiden
- Universidad de Malaga
- Idea Bio-Medical Ltd