Elucidating Host-Pathogen Interactions Based on Post-Translational Modifications Using Proteomics Approaches

Vaishnavi Ravikumar, Carsten Jers, Ivan Mijakovic

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Microbes with the capability to survive in the host tissue and efficiently subvert its innate immune responses can cause various health hazards. There is an inherent need to understand microbial infection patterns and mechanisms in order to develop efficient therapeutics. Microbial pathogens display host specificity through a complex network of molecular interactions that aid their survival and propagation. Co-infection states further lead to complications by increasing the microbial burden and risk factors. Quantitative proteomics based approaches and post-translational modification analysis can be efficiently applied to gain an insight into the molecular mechanisms involved. The measurement of the proteome and post-translationally modified proteome dynamics using mass spectrometry, results in a wide array of information, such as significant changes in protein expression, protein abundance, the modification status, the site occupancy level, interactors, functional significance of key players, potential drug targets, etc. This mini review discusses the potential of proteomics to investigate the involvement of post-translational modifications in bacterial pathogenesis and host pathogen interactions.
Original languageEnglish
Article number1312
JournalFrontiers in Microbiology
Number of pages7
Publication statusPublished - 2015

Bibliographical note

© 2015 Ravikumar, Jers and Mijakovic. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.


  • Co-cultures
  • Pathogenesis
  • Bacteria
  • Proteomics
  • Post-translational modifications


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