Quantitative analysis of genetic and neuronal multi-perturbation experiments

TitleQuantitative analysis of genetic and neuronal multi-perturbation experiments
Publication TypeJournal Article
Year of Publication2005
AuthorsKaufman A, Keinan A, Meilijson I, Kupiec M, Ruppin E
JournalPLoS Comput. Biol.
KeywordsAlgorithms, Animals, Biological, Caenorhabditis elegans, Chemotaxis, Gene Deletion, Models, Molecular Sequence Data, Mutagenesis, Neurons, Phenotype, Saccharomyces cerevisiae, Signal Transduction, Systems Biology, {DNA} Repair

Perturbation studies, in which functional performance is measured after deletion, mutation, or lesion of elements of a biological system, have been traditionally employed in many fields in biology. The vast majority of these studies have been qualitative and have employed single perturbations, often resulting in little phenotypic effect. Recently, newly emerging experimental techniques have allowed researchers to carry out concomitant multi-perturbations and to uncover the causal functional contributions of system elements. This study presents a rigorous and quantitative multi-perturbation analysis of gene knockout and neuronal ablation experiments. In both cases, a quantification of the elements' contributions, and new insights and predictions, are provided. Multi-perturbation analysis has a potentially wide range of applications and is gradually becoming an essential tool in biology.