CRG: "Big Data" in biology

CRG: "Big Data" in biology

News from CRG

In a series of three publications, CRG reseachers explored novel ways how data on gene expression, protein abundance and metabolites from a single model organism can be integrated and analysed. They used hypothesis-driven approaches and mathematical modelling to reveal a fine grained, dynamic picture of the inner workings of the pathogenic bacterium Mycoplasma pneumoniae.

Most of the now published work was led by Tobias Maier and carried out in the laboratory of Luis Serrano from the CRG in collaboration with Ricardo Gutierrez from the UPF and IMIM as well as with Eduard Sabido of the CRG proteomics unit. Co-authors are further affiliated with the Humboldt University in Berlin and the Helmholtz Centre in Braunschweig, Germany.

The now published results demonstrate the power of integrating large, quantitative biological data sets to gain additional understanding of important cellular processes and functions. The work exemplifies the use of Big Data in biomedical research and contributes to the Big Data Week, a global festival of data with Barcelona being one of the central hubs.

More information:

CRG press release



J Wodke et al. “Disecting the energy metabolism in Mycoplasma pneumoniae through genome-scale metabolic modeling” Molecular Systems Biology 9:653. 2013. doi:10.1038/msb.2013.6.

Borràs E, Espadas G, Mancuso F, Maier T, Chiva C and Sabidó E. “Integrative quantitation enables a comprehensive proteome comparison of two Mycomplasma pneumoniae genetic perturbations” Molecular BioSystems 2013. doi: 10.1039/C3MB25581F

Maier T, Marcos J, Wodke J, Paetzold B, Liebeke M, Gutiérrez-Gallego R and Serrano L. “Large-scale metabolome analysis and quantitative integration with genomics and proteomics data in Mycoplasma pneumniae”. Molecular BioSystems. 2013. doi: 10.1039/C3MB70113A