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Interaction networks of Escherichia coli replication proteins under different bacterial growth conditions

In this work we analyzed protein-protein interactions (PPIs) formed by E. coli replication proteins under three disparate bacterial growth conditions. The chosen conditions corresponded to fast exponential growth, slow exponential growth and growth cessation at the stationary phase. We performed aff...

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Autores principales: Morcinek-Orłowska, Joanna, Walter, Beata, Forquet, Raphaël, Cysewski, Dominik, Carlier, Maxime, Mozolewski, Michał, Meyer, Sam, Glinkowska, Monika
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10638427/
https://www.ncbi.nlm.nih.gov/pubmed/37949936
http://dx.doi.org/10.1038/s41597-023-02710-1
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author Morcinek-Orłowska, Joanna
Walter, Beata
Forquet, Raphaël
Cysewski, Dominik
Carlier, Maxime
Mozolewski, Michał
Meyer, Sam
Glinkowska, Monika
author_facet Morcinek-Orłowska, Joanna
Walter, Beata
Forquet, Raphaël
Cysewski, Dominik
Carlier, Maxime
Mozolewski, Michał
Meyer, Sam
Glinkowska, Monika
author_sort Morcinek-Orłowska, Joanna
collection PubMed
description In this work we analyzed protein-protein interactions (PPIs) formed by E. coli replication proteins under three disparate bacterial growth conditions. The chosen conditions corresponded to fast exponential growth, slow exponential growth and growth cessation at the stationary phase. We performed affinity purification coupled with mass spectrometry (AP-MS) of chromosomally expressed proteins (DnaA, DnaB, Hda, SeqA, DiaA, DnaG, HolD, NrdB), tagged with sequential peptide affinity (SPA) tag. Composition of protein complexes was characterized using MaxQuant software. To filter out unspecific interactions, we employed double negative control system and we proposed qualitative and quantitative data analysis strategies that can facilitate hits identification in other AP-MS datasets. Our motivation to undertake this task was still insufficient understanding of molecular mechanisms coupling DNA replication to cellular growth. Previous works suggested that such control mechanisms could involve physical interactions of replication factors with metabolic or cell envelope proteins. However, the dynamic replication protein interaction network (PIN) obtained in this study can be used to characterize links between DNA replication and various cellular processes in other contexts.
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spelling pubmed-106384272023-11-11 Interaction networks of Escherichia coli replication proteins under different bacterial growth conditions Morcinek-Orłowska, Joanna Walter, Beata Forquet, Raphaël Cysewski, Dominik Carlier, Maxime Mozolewski, Michał Meyer, Sam Glinkowska, Monika Sci Data Data Descriptor In this work we analyzed protein-protein interactions (PPIs) formed by E. coli replication proteins under three disparate bacterial growth conditions. The chosen conditions corresponded to fast exponential growth, slow exponential growth and growth cessation at the stationary phase. We performed affinity purification coupled with mass spectrometry (AP-MS) of chromosomally expressed proteins (DnaA, DnaB, Hda, SeqA, DiaA, DnaG, HolD, NrdB), tagged with sequential peptide affinity (SPA) tag. Composition of protein complexes was characterized using MaxQuant software. To filter out unspecific interactions, we employed double negative control system and we proposed qualitative and quantitative data analysis strategies that can facilitate hits identification in other AP-MS datasets. Our motivation to undertake this task was still insufficient understanding of molecular mechanisms coupling DNA replication to cellular growth. Previous works suggested that such control mechanisms could involve physical interactions of replication factors with metabolic or cell envelope proteins. However, the dynamic replication protein interaction network (PIN) obtained in this study can be used to characterize links between DNA replication and various cellular processes in other contexts. Nature Publishing Group UK 2023-11-10 /pmc/articles/PMC10638427/ /pubmed/37949936 http://dx.doi.org/10.1038/s41597-023-02710-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Data Descriptor
Morcinek-Orłowska, Joanna
Walter, Beata
Forquet, Raphaël
Cysewski, Dominik
Carlier, Maxime
Mozolewski, Michał
Meyer, Sam
Glinkowska, Monika
Interaction networks of Escherichia coli replication proteins under different bacterial growth conditions
title Interaction networks of Escherichia coli replication proteins under different bacterial growth conditions
title_full Interaction networks of Escherichia coli replication proteins under different bacterial growth conditions
title_fullStr Interaction networks of Escherichia coli replication proteins under different bacterial growth conditions
title_full_unstemmed Interaction networks of Escherichia coli replication proteins under different bacterial growth conditions
title_short Interaction networks of Escherichia coli replication proteins under different bacterial growth conditions
title_sort interaction networks of escherichia coli replication proteins under different bacterial growth conditions
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10638427/
https://www.ncbi.nlm.nih.gov/pubmed/37949936
http://dx.doi.org/10.1038/s41597-023-02710-1
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