Global dynamics of biological systems from time-resolved omics experiments.
The emergent properties of biological systems, organized around complex networks of irregularly connected elements, limit the applications of the direct scientific method to their study. The current lack of knowledge opens new perspectives to the inverse scientific paradigm where observations are accumulated and analysed by advanced data-mining techniques to enable a better understanding and the formulation of testable hypotheses about the structure and functioning of these systems. The current technology allows for the wide application of omics analytical methods in the determination of time-resolved molecular profiles of biological samples. Here it is proposed that the theory of dynamical systems could be the natural framework for the proper analysis and interpretation of such experiments. A new method is described, based on the techniques of non-linear time series analysis, which is providing a global view on the dynamics of biological systems probed with time-resolved omics experiments.
Grigorov
Martin G
MG
Nestlé Research Center, BioAnalytical Science CH-1000 Lausanne 26, Switzerland. martin.grigorov@rdls.nestle.com
D000465:Algorithms; D000818:Animals; D035843:Biomedical Research; D002453:Cell Cycle; D019295:Computational Biology / Q000379:methods*; D003198:Computer Simulation; D004331:Drosophila melanogaster / Q000235:genetics; D005656:Fungal Proteins / Q000737:chemistry; D018507:Gene Expression Regulation, Developmental; D023281:Genomics / Q000379:methods*; D008957:Models, Genetic; D040901:Proteomics / Q000379:methods*; D049490:Systems Biology; D013997:Time Factors
D005656:Fungal Proteins