Title |
A New Tool to Reveal Bacterial Signaling Mechanisms in Antibiotic Treatment and Resistance*
|
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Published in |
Molecular and Cellular Proteomics, September 2018
|
DOI | 10.1074/mcp.ra118.000880 |
Pubmed ID | |
Authors |
Miao-Hsia Lin, Clement M Potel, Kamaleddin H M E Tehrani, Albert J R Heck, Nathaniel I Martin, Simone Lemeer |
Abstract |
The rapid emergence of antimicrobial resistance is a major threat to human health. Antibiotics modulate a wide range of biological processes in bacteria and as such, the study of bacterial cellular signaling could aid the development of urgently needed new antibiotic agents. Due to the advances in bacterial phosphoproteomics, such a system-wide analysis of bacterial signaling in response to antibiotics has recently become feasible. Here we present a dynamic view of differential protein phosphorylation upon antibiotic treatment and antibiotic resistance. Most strikingly, differential phosphorylation was observed on highly conserved residues of resistance regulating transcription factors, implying a previously unanticipated role of phosphorylation mediated regulation. Using the comprehensive phosphoproteomics data presented here as a resource, future research can now focus on deciphering the precise signaling mechanisms contributing to resistance, eventually leading to alternative strategies to combat antimicrobial resistance. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 5 | 36% |
Netherlands | 1 | 7% |
United Kingdom | 1 | 7% |
Germany | 1 | 7% |
Belgium | 1 | 7% |
Unknown | 5 | 36% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 10 | 71% |
Scientists | 3 | 21% |
Science communicators (journalists, bloggers, editors) | 1 | 7% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 45 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 11 | 24% |
Student > Master | 8 | 18% |
Researcher | 7 | 16% |
Student > Bachelor | 3 | 7% |
Librarian | 1 | 2% |
Other | 3 | 7% |
Unknown | 12 | 27% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 16 | 36% |
Agricultural and Biological Sciences | 6 | 13% |
Medicine and Dentistry | 3 | 7% |
Immunology and Microbiology | 2 | 4% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
Other | 4 | 9% |
Unknown | 13 | 29% |