An ultrasensitive microfluidic approach reveals correlations between the physico-chemical and biological activity of experimental peptide antibiotics.
dc.contributor.author | Cama, J | |
dc.contributor.author | Al Nahas, K | |
dc.contributor.author | Fletcher, M | |
dc.contributor.author | Hammond, K | |
dc.contributor.author | Ryadnov, MG | |
dc.contributor.author | Keyser, UF | |
dc.contributor.author | Pagliara, S | |
dc.date.accessioned | 2022-07-27T10:03:06Z | |
dc.date.issued | 2022-03-07 | |
dc.date.updated | 2022-07-27T08:53:21Z | |
dc.description.abstract | Antimicrobial resistance challenges the ability of modern medicine to contain infections. Given the dire need for new antimicrobials, polypeptide antibiotics hold particular promise. These agents hit multiple targets in bacteria starting with their most exposed regions-their membranes. However, suitable approaches to quantify the efficacy of polypeptide antibiotics at the membrane and cellular level have been lacking. Here, we employ two complementary microfluidic platforms to probe the structure-activity relationships of two experimental series of polypeptide antibiotics. We reveal strong correlations between each peptide's physicochemical activity at the membrane level and biological activity at the cellular level. We achieve this knowledge by assaying the membranolytic activities of the compounds on hundreds of individual giant lipid vesicles, and by quantifying phenotypic responses within clonal bacterial populations with single-cell resolution. Our strategy proved capable of detecting differential responses for peptides with single amino acid substitutions between them, and can accelerate the rational design and development of peptide antimicrobials. | en_GB |
dc.description.sponsorship | Wellcome Trust | en_GB |
dc.description.sponsorship | Engineering and Physical Sciences Research Council | en_GB |
dc.description.sponsorship | European Research Council | en_GB |
dc.description.sponsorship | s Department for Business, Energy and Industrial Strategy and Innovate UK | en_GB |
dc.description.sponsorship | Medical Research Council | en_GB |
dc.description.sponsorship | Biotechnology and Biological Sciences Research Council | en_GB |
dc.description.sponsorship | Royal Society | en_GB |
dc.description.sponsorship | Gordon and Betty Moore Foundation Marine Microbiology Initiative | en_GB |
dc.description.sponsorship | Marie Skłodowska-Curie grant | en_GB |
dc.description.sponsorship | Cambridge-National Physical Laboratory | en_GB |
dc.description.sponsorship | Winton Programme for the Physics of Sustainability | en_GB |
dc.description.sponsorship | Trinity-Henry Barlow Scholarship | en_GB |
dc.format.extent | 4005- | |
dc.format.medium | Electronic | |
dc.identifier.citation | Vol. 12, No. 1, article 4005 | en_GB |
dc.identifier.doi | https://doi.org/10.1038/s41598-022-07973-z | |
dc.identifier.grantnumber | 204909/Z/16/Z | en_GB |
dc.identifier.grantnumber | EP/R513180/1 | en_GB |
dc.identifier.grantnumber | Designerpores 647144 | en_GB |
dc.identifier.grantnumber | 103358 | en_GB |
dc.identifier.grantnumber | MCPC17189 | en_GB |
dc.identifier.grantnumber | BB/V008021/1 | en_GB |
dc.identifier.grantnumber | RG180007 | en_GB |
dc.identifier.grantnumber | GBMF5514 | en_GB |
dc.identifier.grantnumber | H2020-MSCA-ITN-2015-675752 | en_GB |
dc.identifier.uri | http://hdl.handle.net/10871/130416 | |
dc.identifier | ORCID: 0000-0001-9796-1956 (Pagliara, Stefano) | |
dc.language.iso | en | en_GB |
dc.publisher | Nature Research | en_GB |
dc.relation.url | https://www.ncbi.nlm.nih.gov/pubmed/35256720 | en_GB |
dc.relation.url | https://github.com/mrcsfltchr/TrapAnalysis | en_GB |
dc.rights | © The Author(s) 2022. Open Access: This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. | en_GB |
dc.subject | Anti-Bacterial Agents | en_GB |
dc.subject | Anti-Infective Agents | en_GB |
dc.subject | Antimicrobial Cationic Peptides | en_GB |
dc.subject | Bacteria | en_GB |
dc.subject | Microfluidics | en_GB |
dc.subject | Structure-Activity Relationship | en_GB |
dc.title | An ultrasensitive microfluidic approach reveals correlations between the physico-chemical and biological activity of experimental peptide antibiotics. | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2022-07-27T10:03:06Z | |
dc.identifier.issn | 2045-2322 | |
exeter.article-number | 4005 | |
exeter.place-of-publication | England | |
dc.description | This is the final version. Available from Nature Research via the DOI in this record. | en_GB |
dc.description | Data availability: All the data necessary for understanding the paper is available in the main text or supplementary information. Codes for the analysis of the GUV data are available at https://github.com/mrcsfltchr/TrapAnalysis. | en_GB |
dc.identifier.journal | Scientific Reports | en_GB |
dc.relation.ispartof | Sci Rep, 12(1) | |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | en_GB |
dcterms.dateAccepted | 2022-02-28 | |
dc.rights.license | CC BY | |
rioxxterms.version | VoR | en_GB |
rioxxterms.licenseref.startdate | 2022-03-07 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2022-07-27T09:55:59Z | |
refterms.versionFCD | VoR | |
refterms.dateFOA | 2022-07-27T10:03:07Z | |
refterms.panel | A | en_GB |
refterms.dateFirstOnline | 2022-03-07 |
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