Caister Academic Press

Data-driven Systems Biology of Fungal Infections

Fabian Horn, Vito Valiante, Reinhard Guthke and Axel A. Brakhage
from: Human Pathogenic Fungi: Molecular Biology and Pathogenic Mechanisms (Edited by: Derek J. Sullivan and Gary P. Moran). Caister Academic Press, U.K. (2014)

Abstract

Recent technical advancements in biotechnology unlocked a new fascinating period of research. High-throughput data can be obtained within biomolecular experiments with reasonable efforts and costs. This enables the investigation of the host-fungal interactions at a system-wide level. The bottleneck in the experiment workflow has shifted from obtaining the data to its proper analysis. The analysis of high-throughput data can be described by the operational protocol of data-driven systems biology. The protocol includes experimental design, data pre-processing, feature selection, computational modeling, and biological evaluation. Throughout this procedure, data need to be analyzed within the corresponding biological context. The goal of the analysis pipeline is to obtain model variables and parameters in order to make new hypotheses for further experiments. The intertwined nature of the host-pathogen interaction is also reflected in the complex data analysis where first experiences are currently gathered and new methods developed. Pressing challenges are the integration of different levels of omics-data, i.e. modeling should consider multiple molecular levels and the integration of different technologies at each level. Advances in systems biology are expected to help translate in vivo knowledge about fungal infections into clinical applications read more ...
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