Importance of protein Ser/Thr/Tyr phosphorylation for bacterial pathogenesis
Review article, 2020

Protein phosphorylation regulates a large variety of biological processes in all living cells. In pathogenic bacteria, the study of serine, threonine, and tyrosine (Ser/Thr/Tyr) phosphorylation has shed light on the course of infectious diseases, from adherence to host cells to pathogen virulence, replication, and persistence. Mass spectrometry (MS)-based phosphoproteomics has provided global maps of Ser/Thr/Tyr phosphosites in bacterial pathogens. Despite recent developments, a quantitative and dynamic view of phosphorylation events that occur during bacterial pathogenesis is currently lacking. Temporal, spatial, and subpopulation resolution of phosphorylation data is required to identify key regulatory nodes underlying bacterial pathogenesis. Herein, we discuss how technological improvements in sample handling, MS instrumentation, data processing, and machine learning should improve bacterial phosphoproteomic datasets and the information extracted from them. Such information is expected to significantly extend the current knowledge of Ser/Thr/Tyr phosphorylation in pathogenic bacteria and should ultimately contribute to the design of novel strategies to combat bacterial infections.


pathogenic bacteria

omics integration


Tyr phosphorylation

antibiotic kinase inhibitors


machine learning

host-pathogen interactions

Hanks kinases

antibiotic resistance



Julie Bonne Kohler

Technical University of Denmark (DTU)

Carsten Jers

Technical University of Denmark (DTU)

Meriem Senissar

Technical University of Denmark (DTU)

Lei Shi

Chalmers, Biology and Biological Engineering, Systems and Synthetic Biology

Abderahmane Derouiche

Chalmers, Biology and Biological Engineering, Systems and Synthetic Biology

Ivan Mijakovic

Novo Nordisk Foundation

Chalmers, Biology and Biological Engineering, Systems and Synthetic Biology

FEBS Letters

0014-5793 (ISSN) 18733468 (eISSN)

Vol. 594 15 2339-2369

Subject Categories


Bioinformatics and Systems Biology





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