An expanded protein-protein interaction network in Bacillus subtilis reveals a group of hubs: Exploration by an integrative approach

Autor: Philippe Bessières, Philippe Noirot, Vincent Fromion, Elodie Marchadier, Marie-Françoise Noirot-Gros, Sophie Brinster, Rut Carballido-López, Peggy Mervelet, Céline Fabret
Přispěvatelé: Institut Jean-Pierre Bourgin (IJPB), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, MICrobiologie de l'ALImentation au Service de la Santé (MICALIS), Unité Mathématique, Informatique et Génome (MIG), Institut National de la Recherche Agronomique (INRA), Institut Cochin (IC UM3 (UMR 8104 / U1016)), Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Institut de génétique et microbiologie [Orsay] (IGM), Université Paris-Sud - Paris 11 (UP11)-Centre National de la Recherche Scientifique (CNRS), Unité Mathématique Informatique et Génome (MIG), ProdInra, Archive Ouverte, Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Descartes - Paris 5 (UPD5)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM), Fromion, Vincent, Noirot, Philippe
Jazyk: angličtina
Rok vydání: 2011
Předmět:
cell division
[SDV.SA]Life Sciences [q-bio]/Agricultural sciences
organisation
interactome
division cellulaire
Bacillus subtilis
yeast
Biochemistry
Interactome
Genome
localization
Transcriptome
Protein Interaction Mapping
Cluster Analysis
Gene Regulatory Networks
data integration
dna replication
microbiology
stress responses
transcriptome
escherichia coli
interaction map
genome
identification
organization
expression
Genetics
0303 health sciences
[SDV.SA] Life Sciences [q-bio]/Agricultural sciences
biology
réplication de l'adn
interaction
réponse à un stress
Computational biology
Prokaryotic cytoskeleton
03 medical and health sciences
Bacterial Proteins
Interaction network
Two-Hybrid System Techniques
microbiologie
levure
Molecular Biology
030304 developmental biology
030306 microbiology
génome
Gene Expression Profiling
intégration des données
DNA replication
Computational Biology
biology.organism_classification
Function (biology)
Zdroj: Proteomics
Proteomics, Wiley-VCH Verlag, 2011, 11 (15), pp.2981-2991. ⟨10.1002/pmic.201000791⟩
Proteomics, 2011, 11 (15), pp.2981-2991. ⟨10.1002/pmic.201000791⟩
Proteomics 15 (11), 2981-2991. (2011)
ISSN: 1615-9853
1615-9861
DOI: 10.1002/pmic.201000791⟩
Popis: We have generated a protein-protein interaction network in Bacillus subtilis focused on several essential cellular processes such as cell division, cell responses to various stresses, the bacterial cytoskeleton, DNA replication and chromosome maintenance by careful application of the yeast two-hybrid approach. This network, composed of 793 interactions linking 287 proteins with an average connectivity of five interactions per protein, represents a valuable resource for future functional analyses. A striking feature of the network is a group of highly connected hubs (GoH) linking many different cellular processes. Most of the proteins of the GoH have unknown functions and are associated to the membrane. By the integration of available knowledge, in particular of transcriptome data sets, the GoH was decomposed into subgroups of party hubs corresponding to protein complexes or regulatory pathways expressed under different conditions. At a global level, the GoH might function as a very robust group of date hubs having partially redundant functions to integrate information from the different cellular pathways. Our analyses also provide a rational way to study the highly redundant functions of the GoH by a genetic approach.
Databáze: OpenAIRE
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