title: Parasites, proteomes and systems: has Descartes' clock run out of time?
abstract: Systems biology aims to integrate multiple biological data types such as genomics, transcriptomics and proteomics across different levels of structure and scale; it represents an emerging paradigm in the scientific process which challenges the reductionism that has dominated biomedical research for hundreds of years. Systems biology will nevertheless only be successful if the technologies on which it is based are able to deliver the required type and quality of data. In this review we discuss how well positioned is proteomics to deliver the data necessary to support meaningful systems modelling in parasite biology. We summarise the current state of identification proteomics in parasites, but argue that a new generation of quantitative proteomics data is now needed to underpin effective systems modelling. We discuss the challenges faced to acquire more complete knowledge of protein post-translational modifications, protein turnover and protein-protein interactions in parasites. Finally we highlight the central role of proteome-informatics in ensuring that proteomics data is readily accessible to the user-community and can be translated and integrated with other relevant data types.
authors: Department of Infection Biology, Institute of Infection and Global Health, University of Liverpool, Liverpool L69 7ZJ, UK. j.wastling@liv.ac.uk
authors: J M
authors: JM
authors: Wastling
authors: S D
authors: SD
authors: Armstrong
authors: R
authors: R
authors: Krishna
authors: D
authors: D
authors: Xia
mesh_terms: D000818:Animals; D020869:Gene Expression Profiling; D023281:Genomics; D006790:Host-Parasite Interactions; D006801:Humans; D010271:Parasites / Q000378:metabolism / Q000502:physiology*; D011499:Protein Processing, Post-Translational; D011506:Proteins / Q000378:metabolism*; D040901:Proteomics / Q000379:methods*; D049490:Systems Biology / Q000379:methods*
chemical_list: D011506:Proteins