A coculture-based approach for screening campaigns aimed at identifying novel pseudomonas aeruginosa quorum sensing inhibitors
Methods in Molecular Biology, ISSN: 1064-3745, Vol: 1673, Page: 287-296
2018
- 3Citations
- 11Captures
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations3
- Citation Indexes3
- Captures11
- Readers11
- 11
Book Chapter Description
Quorum sensing (QS) is recognized as a promising target for the identification of anti-virulence drugs hampering Pseudomonas aeruginosa adaptability to the host environment and pathogenicity. Consequently, a number of studies in the last decade focused on the identification of small molecules or proteins with anti-QS activity, mainly targeting the las QS system, which is based on N-3-oxododecanoyl-homoserine lactone (3OC-HSL) as signal molecule. Different experimental approaches have been successfully used to identify QS blockers interfering with the activity/stability of the 3OC-HSL receptor LasR, with the functionality of the 3OC-HSL synthase LasI, or with the stability/bioavailability of the 3OC-HSL signal molecule itself. Here we describe the use of a high-throughput screening system for the identification of novel las QS inhibitors based on the cocultivation of P. aeruginosa wild type and the P. aeruginosa-derived biosensor strain PA14-R3, in which light emission relies on the ability of the wild type strain to synthesize 3OC-HSL and of the biosensor strain to perceive this signal molecule. With respect to other screening systems, this method has the advantage of being cost-effective and allowing the identification of compounds targeting, besides 3OC-HSL reception, any cellular process critical for the functionality of the las QS system, including 3OC-HSL synthesis and secretion.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85033682107&origin=inward; http://dx.doi.org/10.1007/978-1-4939-7309-5_22; http://www.ncbi.nlm.nih.gov/pubmed/29130181; http://link.springer.com/10.1007/978-1-4939-7309-5_22; https://dx.doi.org/10.1007/978-1-4939-7309-5_22; https://link.springer.com/protocol/10.1007/978-1-4939-7309-5_22
Springer Nature
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know