Literature DB >> 22144146

Bacterial interactomes: from interactions to networks.

Emmanuelle Bouveret1, Christine Brun.   

Abstract

In order to ensure their function(s) in the cell, proteins are organized in machineries, underlaid by a complex network of interactions. Identifying protein interactions is thus crucial to our understanding of cell functioning. Technical advances in molecular biology and genomic technology now allow for the systematic study of the interactions occurring in a given organism. This review first presents the techniques readily available to microbiologists for studying protein-protein interactions in bacteria, as well as their usability for high-throughput studies. Two types of techniques need to be considered: (1) the isolation of protein complexes from the organism of interest by affinity purification, and subsequent identification of the complex partners by mass spectrometry and (2) two-hybrid techniques, in general based on the production of two recombinant proteins whose interaction has to be tested in a reporter cell. Next, we summarize the bacterial interactomes already published. Finally, the strengths and pitfalls of the techniques are discussed, together with the potential prospect of interactome studies in bacteria.

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Year:  2012        PMID: 22144146     DOI: 10.1007/978-1-61779-361-5_2

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  10 in total

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Authors:  Joana C Xavier; Kiran Raosaheb Patil; Isabel Rocha
Journal:  Microbiol Mol Biol Rev       Date:  2014-09       Impact factor: 11.056

2.  A comparison and optimization of yeast two-hybrid systems.

Authors:  J H Caufield; Neha Sakhawalkar; Peter Uetz
Journal:  Methods       Date:  2012-12-08       Impact factor: 3.608

3.  The UbiK protein is an accessory factor necessary for bacterial ubiquinone (UQ) biosynthesis and forms a complex with the UQ biogenesis factor UbiJ.

Authors:  Laurent Loiseau; Cameron Fyfe; Laurent Aussel; Mahmoud Hajj Chehade; Sara B Hernández; Bruno Faivre; Djemel Hamdane; Caroline Mellot-Draznieks; Bérengère Rascalou; Ludovic Pelosi; Christophe Velours; David Cornu; Murielle Lombard; Josep Casadesús; Fabien Pierrel; Marc Fontecave; Frédéric Barras
Journal:  J Biol Chem       Date:  2017-05-30       Impact factor: 5.157

Review 4.  Computational Network Inference for Bacterial Interactomics.

Authors:  Katherine James; Jose Muñoz-Muñoz
Journal:  mSystems       Date:  2022-03-30       Impact factor: 7.324

5.  Ontology-based Vaccine and Drug Adverse Event Representation and Theory-guided Systematic Causal Network Analysis toward Integrative Pharmacovigilance Research.

Authors:  Yongqun He
Journal:  Curr Pharmacol Rep       Date:  2016-03-11

6.  Cross talk between the response regulators PhoB and TctD allows for the integration of diverse environmental signals in Pseudomonas aeruginosa.

Authors:  Piotr Bielecki; Vanessa Jensen; Wiebke Schulze; Julia Gödeke; Janine Strehmel; Denitsa Eckweiler; Tanja Nicolai; Agata Bielecka; Thorsten Wille; Roman G Gerlach; Susanne Häussler
Journal:  Nucleic Acids Res       Date:  2015-06-16       Impact factor: 16.971

7.  Microbiomes, plausible players or not in alteration of host behavior.

Authors:  David G Biron; Ludovic Bonhomme; Marianne Coulon; Øyvind Øverli
Journal:  Front Microbiol       Date:  2015-01-12       Impact factor: 5.640

Review 8.  Protein-protein interactions in bacteria: a promising and challenging avenue towards the discovery of new antibiotics.

Authors:  Laura Carro
Journal:  Beilstein J Org Chem       Date:  2018-11-21       Impact factor: 2.883

9.  Studies of dynamic protein-protein interactions in bacteria using Renilla luciferase complementation are undermined by nonspecific enzyme inhibition.

Authors:  Stavroula K Hatzios; Simon Ringgaard; Brigid M Davis; Matthew K Waldor
Journal:  PLoS One       Date:  2012-08-15       Impact factor: 3.240

10.  pZMO7-Derived shuttle vectors for heterologous protein expression and proteomic applications in the ethanol-producing bacterium Zymomonas mobilis.

Authors:  Lok Yan So; Wen-yang Chen; Donnabella C Lacap-Bugler; Myriam Seemann; Rory M Watt
Journal:  BMC Microbiol       Date:  2014-03-15       Impact factor: 3.605

  10 in total

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