title: Proteomics approaches for the analysis of enriched microbial subpopulations and visualization of complex functional information.
abstract: Advances in the separation of microbial subpopulations and in proteomics technologies have paved the way for the global molecular characterization of microbial cells that share common functional characteristics. Quantitative characterization of the dynamics of microbial proteomes enables an unprecedented view of the adaptive responses of microbes to environmental stimuli or during interaction with other species or host cells. However, the intrinsic complexity of such data requires sophisticated visualization methods for the display, mining, interpretation and efficient exploitation of these data resources. In this review, we discuss how new approaches in data visualization such as streamgraphs, network graphs or Voronoi treemaps are being used in the field to provide new insights into the functional complexity of microbial cells, populations and multispecies consortia.
authors.affiliation: Institute for Microbiology, Ernst-Moritz-Arndt-University Greifswald, Friedrich-Ludwig-Jahn-Strasse 15, D-17487 Greifswald, Germany.
authors.forename: Jörg
authors.initials: J
authors.lastname: Bernhardt
authors.forename: Stephan
authors.initials: S
authors.lastname: Michalik
authors.forename: Bernd
authors.initials: B
authors.lastname: Wollscheid
authors.forename: Uwe
authors.initials: U
authors.lastname: Völker
authors.forename: Frank
authors.initials: F
authors.lastname: Schmidt
mesh_terms: D000818:Animals; D054884:Host-Pathogen Interactions; D006801:Humans; D008828:Microbiological Techniques / Q000379:methods*; D020543:Proteome / Q000032:analysis*; D040901:Proteomics / Q000379:methods*
chemical_list: D020543:Proteome