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Importance of protein Ser/Thr/Tyr phosphorylation for bacterial pathogenesis

Bonne Kohler, Julie (author)
Danmarks Tekniske Universitet,Technical University of Denmark
Jers, Carsten (author)
Danmarks Tekniske Universitet,Technical University of Denmark
Senissar, Meriem (author)
Danmarks Tekniske Universitet,Technical University of Denmark
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Shi, Lei, 1981 (author)
Chalmers tekniska högskola,Chalmers University of Technology
Derouiche, Abderahmane, 1980 (author)
Chalmers tekniska högskola,Chalmers University of Technology
Mijakovic, Ivan, 1975 (author)
Novo Nordisk Fonden,Novo Nordisk Foundation,Chalmers tekniska högskola,Chalmers University of Technology
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 (creator_code:org_t)
2020-06-17
2020
English.
In: FEBS Letters. - : Wiley. - 1873-3468 .- 0014-5793. ; 594:15, s. 2339-2369
  • Research review (peer-reviewed)
Abstract Subject headings
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  • 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.

Subject headings

NATURVETENSKAP  -- Biologi -- Mikrobiologi (hsv//swe)
NATURAL SCIENCES  -- Biological Sciences -- Microbiology (hsv//eng)
NATURVETENSKAP  -- Biologi -- Bioinformatik och systembiologi (hsv//swe)
NATURAL SCIENCES  -- Biological Sciences -- Bioinformatics and Systems Biology (hsv//eng)

Keyword

BY-kinases
pathogenic bacteria
omics integration
phosphoproteomics
Tyr phosphorylation
antibiotic kinase inhibitors
Ser
machine learning
host-pathogen interactions
Hanks kinases
antibiotic resistance
Thr

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