Literature DB >> 23141770

Proteomics approaches for the analysis of enriched microbial subpopulations and visualization of complex functional information.

Jörg Bernhardt1, Stephan Michalik, Bernd Wollscheid, Uwe Völker, Frank Schmidt.   

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.
Copyright © 2012 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 23141770     DOI: 10.1016/j.copbio.2012.10.009

Source DB:  PubMed          Journal:  Curr Opin Biotechnol        ISSN: 0958-1669            Impact factor:   9.740


  7 in total

1.  Differential protein expression in a marine-derived Staphylococcus sp. NIOSBK35 in response to arsenic(III).

Authors:  Shruti Shah; Samir R Damare
Journal:  3 Biotech       Date:  2018-06-05       Impact factor: 2.406

2.  A metaproteomics approach to elucidate host and pathogen protein expression during catheter-associated urinary tract infections (CAUTIs).

Authors:  Christian Lassek; Melanie Burghartz; Diego Chaves-Moreno; Andreas Otto; Christian Hentschker; Stephan Fuchs; Jörg Bernhardt; Ruy Jauregui; Rüdiger Neubauer; Dörte Becher; Dietmar H Pieper; Martina Jahn; Dieter Jahn; Katharina Riedel
Journal:  Mol Cell Proteomics       Date:  2015-02-11       Impact factor: 5.911

Review 3.  Metaproteomics of complex microbial communities in biogas plants.

Authors:  Robert Heyer; Fabian Kohrs; Udo Reichl; Dirk Benndorf
Journal:  Microb Biotechnol       Date:  2015-04-15       Impact factor: 5.813

4.  Comparative proteome analysis reveals conserved and specific adaptation patterns of Staphylococcus aureus after internalization by different types of human non-professional phagocytic host cells.

Authors:  Kristin Surmann; Stephan Michalik; Petra Hildebrandt; Philipp Gierok; Maren Depke; Lars Brinkmann; Jörg Bernhardt; Manuela G Salazar; Zhi Sun; David Shteynberg; Ulrike Kusebauch; Robert L Moritz; Bernd Wollscheid; Michael Lalk; Uwe Völker; Frank Schmidt
Journal:  Front Microbiol       Date:  2014-08-01       Impact factor: 5.640

5.  Signatures of cytoplasmic proteins in the exoproteome distinguish community- and hospital-associated methicillin-resistant Staphylococcus aureus USA300 lineages.

Authors:  Solomon A Mekonnen; Laura M Palma Medina; Corinna Glasner; Eleni Tsompanidou; Anne de Jong; Stefano Grasso; Marc Schaffer; Ulrike Mäder; Anders R Larsen; Heidi Gumpert; Henrik Westh; Uwe Völker; Andreas Otto; Dörte Becher; Jan Maarten van Dijl
Journal:  Virulence       Date:  2017-05-05       Impact factor: 5.882

6.  Comparative proteome analysis in an Escherichia coli CyDisCo strain identifies stress responses related to protein production, oxidative stress and accumulation of misfolded protein.

Authors:  Isabel Guerrero Montero; Katarzyna Magdalena Dolata; Rabea Schlüter; Gilles Malherbe; Susanne Sievers; Daniela Zühlke; Thomas Sura; Emma Dave; Katharina Riedel; Colin Robinson
Journal:  Microb Cell Fact       Date:  2019-01-29       Impact factor: 5.328

7.  What's a Biofilm?-How the Choice of the Biofilm Model Impacts the Protein Inventory of Clostridioides difficile.

Authors:  Madita Brauer; Christian Lassek; Christian Hinze; Juliane Hoyer; Dörte Becher; Dieter Jahn; Susanne Sievers; Katharina Riedel
Journal:  Front Microbiol       Date:  2021-06-10       Impact factor: 5.640

  7 in total

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