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A Comparative Approach to Characterize the Landscape of Host-Pathogen Protein-Protein Interactions

A Comparative Approach to Characterize the Landscape of Host-Pathogen Protein-Protein Interactions

Published on: July 18, 2013

Surface-affinity profiling to identify host-pathogen interactions.

Annemarie Boleij¹, Coby M Laarakkers, Jolein Gloerich

¹Department of Laboratory Medicine, Nijmegen Institute for Infection, Inflammation and Immunity and Radboud University Centrefor Oncology of the Radboud University Nijmegen Medical Centre, P.O. Box 9101, 6500 HB Nijmegen, The Netherlands.

Infection and Immunity

|September 28, 2011

Summary

This summary is machine-generated.

This study identifies human epithelial proteins interacting with Streptococcus gallolyticus. Cytokeratin-8 was found to bind bacterial enolase, suggesting a general mechanism for bacterial virulence and host cell adherence.

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Area of Science:

Microbiology
Molecular Biology
Biochemistry

Background:

Surface-exposed bacterial proteins mediate interactions with host cells.
Identifying these proteins is crucial for understanding host-pathogen dynamics.

Purpose of the Study:

To identify human epithelial receptor proteins that bind to Streptococcus gallolyticus.
To investigate the interaction between bacterial enolase and host cell proteins.

Main Methods:

Surface-affinity profiling using liquid chromatography-tandem mass spectrometry (LC-MS/MS).
Subcellular fractionation and confocal microscopy to confirm protein localization.
Mass spectrometry of cross-linked protein complexes and immunoblotting to verify interactions.

Main Results:

Identified specific human epithelial proteins retained by S. gallolyticus.
(Cyto)keratin-8 (CK8) was a significant hit, with its surface localization confirmed.
Bacterial enolase was identified as an interaction partner of CK8.

Conclusions:

Surface-affinity profiling is effective for discovering bacterial adhesin-receptor pairs.
The interaction between bacterial enolase and CK8 suggests a conserved virulence mechanism.
This method can be applied to other host-microbe systems.