Blocking bacterial entry at the adhesion step reveals dynamic recruitment of membrane and cytosolic probes.


Journal

Biology of the cell
ISSN: 1768-322X
Titre abrégé: Biol Cell
Pays: England
ID NLM: 8108529

Informations de publication

Date de publication:
Mar 2019
Historique:
received: 19 10 2018
revised: 05 12 2018
accepted: 06 12 2018
pubmed: 27 1 2019
medline: 1 6 2019
entrez: 26 1 2019
Statut: ppublish

Résumé

Bacterial invasion covers two steps: adhesion and entry per se. The cell signalling response is triggered upon pathogen interaction at the cell surface. This response continues when the pathogen is internalised. It is likely that these two steps activate different molecular machineries. So far, it has not been possible to easily follow in physiological conditions these events separately. We thus developed an approach to uncouple adhesion from entry using atomic force microscopy (AFM)-driven force and fluorescence measurements. We report nanometric-scale, high-resolution, functional dynamic measurements of bacterial interaction with the host cell surface using photonic and adhesion force analyses. We describe how to achieve a precise monitoring of iterative cell-bacterium interactions to analyse host cell signalling responses to infection. By applying this method to Yersinia pseudotuberculosis, we first unveil glycosylphosphatidylinositol-anchored protein domains recruitment to the bacterium cell surface binding site and concomitant cytoskeleton rearrangements using super-resolution fluorescence microscopy. Second, we demonstrate the feasibility of monitoring post-translationally modified proteins, for example, via ubiquitylation, during the first step of infection. We provide an approach to discriminate between cellular signalling response activated at the plasma membrane during host-pathogen interaction and that is triggered during the internalisation of the pathogen within the cell. This approach adds to the technological arsenal to better understand and fight against pathogens and beyond the scope of microbiology to address conceptual issues of cell surface signalling.

Sections du résumé

BACKGROUND BACKGROUND
Bacterial invasion covers two steps: adhesion and entry per se. The cell signalling response is triggered upon pathogen interaction at the cell surface. This response continues when the pathogen is internalised. It is likely that these two steps activate different molecular machineries. So far, it has not been possible to easily follow in physiological conditions these events separately. We thus developed an approach to uncouple adhesion from entry using atomic force microscopy (AFM)-driven force and fluorescence measurements.
RESULTS RESULTS
We report nanometric-scale, high-resolution, functional dynamic measurements of bacterial interaction with the host cell surface using photonic and adhesion force analyses. We describe how to achieve a precise monitoring of iterative cell-bacterium interactions to analyse host cell signalling responses to infection. By applying this method to Yersinia pseudotuberculosis, we first unveil glycosylphosphatidylinositol-anchored protein domains recruitment to the bacterium cell surface binding site and concomitant cytoskeleton rearrangements using super-resolution fluorescence microscopy. Second, we demonstrate the feasibility of monitoring post-translationally modified proteins, for example, via ubiquitylation, during the first step of infection.
CONCLUSION CONCLUSIONS
We provide an approach to discriminate between cellular signalling response activated at the plasma membrane during host-pathogen interaction and that is triggered during the internalisation of the pathogen within the cell.
SIGNIFICANCE CONCLUSIONS
This approach adds to the technological arsenal to better understand and fight against pathogens and beyond the scope of microbiology to address conceptual issues of cell surface signalling.

Identifiants

pubmed: 30680759
doi: 10.1111/boc.201800070
doi:

Substances chimiques

Actins 0
Glycosylphosphatidylinositols 0
TNF Receptor-Associated Factor 6 0
Green Fluorescent Proteins 147336-22-9

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

67-77

Subventions

Organisme : Univ. Lille 1
Organisme : ANR
ID : 09-MIEN-020-01
Organisme : ANR
ID : 10-EQPX-04-01
Organisme : ANR
ID : 16
Organisme : FEDER
ID : 12,001,407

Informations de copyright

© 2019 Société Française des Microscopies and Société de Biologie Cellulaire de France. Published by John Wiley & Sons Ltd.

Auteurs

Yann Ciczora (Y)

Cellular Microbiology and Physics of Infection Group, Center for Infection and Immunity of Lille, CNRS UMR8204, INSERM U1019, Institut Pasteur de Lille, Lille regional Univ. Hosp. Centr., Lille Univ., Lille, F-59019, France.

Sébastien Janel (S)

Cellular Microbiology and Physics of Infection Group, Center for Infection and Immunity of Lille, CNRS UMR8204, INSERM U1019, Institut Pasteur de Lille, Lille regional Univ. Hosp. Centr., Lille Univ., Lille, F-59019, France.

Magali Soyer (M)

Cellular Microbiology and Physics of Infection Group, Center for Infection and Immunity of Lille, CNRS UMR8204, INSERM U1019, Institut Pasteur de Lille, Lille regional Univ. Hosp. Centr., Lille Univ., Lille, F-59019, France.

Michka Popoff (M)

Cellular Microbiology and Physics of Infection Group, Center for Infection and Immunity of Lille, CNRS UMR8204, INSERM U1019, Institut Pasteur de Lille, Lille regional Univ. Hosp. Centr., Lille Univ., Lille, F-59019, France.
Institut d'Electronique, de Microélectronique et de Nanotechnologie, CNRS UMR8520, Avenue Poincaré, Villeneuve d'Ascq, F-59625, France.

Elisabeth Werkmeister (E)

Cellular Microbiology and Physics of Infection Group, Center for Infection and Immunity of Lille, CNRS UMR8204, INSERM U1019, Institut Pasteur de Lille, Lille regional Univ. Hosp. Centr., Lille Univ., Lille, F-59019, France.

Frank Lafont (F)

Cellular Microbiology and Physics of Infection Group, Center for Infection and Immunity of Lille, CNRS UMR8204, INSERM U1019, Institut Pasteur de Lille, Lille regional Univ. Hosp. Centr., Lille Univ., Lille, F-59019, France.

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Classifications MeSH