| Chapter title |
A Whole-Cell-Based High-Throughput Screening Method to Identify Molecules Targeting Pseudomonas aeruginosa Persister Cells.
|
|---|---|
| Chapter number | 10 |
| Book title |
Bacterial Persistence
|
| Published in |
Methods in molecular biology, January 2016
|
| DOI | 10.1007/978-1-4939-2854-5_10 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-2853-8, 978-1-4939-2854-5
|
| Authors |
Liebens, Veerle, Defraine, Valerie, Fauvart, Maarten, Veerle Liebens, Valerie Defraine, Maarten Fauvart |
| Abstract |
Despite its clinical relevance and the fact that the phenomenon of persistence was discovered in the 1940s, little is known about the mechanisms behind persister cell formation. Research in this field has mainly focused on the model organism Escherichia coli and few genetic determinants of persistence have been described in other bacterial species, impairing the development of target-based strategies to combat these antibiotic-tolerant cells. In this chapter we describe a top-down large-scale screening method capable of specifically identifying small molecule compounds that, in combination with conventional antibiotics, significantly reduce the persister fraction in Pseudomonas aeruginosa. The method is readily adaptable for other species. Further characterization and analysis of the mode of action of the identified compounds can provide additional insight into the mechanisms behind persister formation and can guide the development of future anti-persister therapies. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 6 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 83% |
| Scientists | 1 | 17% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 47 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 15% |
| Professor > Associate Professor | 6 | 13% |
| Student > Bachelor | 4 | 9% |
| Student > Ph. D. Student | 4 | 9% |
| Student > Master | 4 | 9% |
| Other | 8 | 17% |
| Unknown | 14 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 10 | 21% |
| Agricultural and Biological Sciences | 10 | 21% |
| Medicine and Dentistry | 2 | 4% |
| Immunology and Microbiology | 2 | 4% |
| Business, Management and Accounting | 1 | 2% |
| Other | 8 | 17% |
| Unknown | 14 | 30% |