dc.contributor.author | Hira, Jonathan | |
dc.contributor.author | Singh, Bhupender | |
dc.contributor.author | Halder, Tirthankar | |
dc.contributor.author | Mahmutovic, Anel | |
dc.contributor.author | Ajayi, Clément | |
dc.contributor.author | Sekh, Arif Ahmed | |
dc.contributor.author | Hegstad, Kristin | |
dc.contributor.author | Johannessen, Mona Susan | |
dc.contributor.author | Lentz, Christian Stephan | |
dc.date.accessioned | 2024-11-13T14:53:56Z | |
dc.date.available | 2024-11-13T14:53:56Z | |
dc.date.issued | 2024-10-01 | |
dc.description.abstract | Isogenic bacterial cell populations are phenotypically heterogenous and may include subpopulations of antibiotic tolerant or heteroresistant cells. The reversibility of these phenotypes and lack of biomarkers to differentiate functionally different, but morphologically identical cells is a challenge for research and clinical detection. To overcome this, we present ´Cellular Phenotypic Profiling and backTracing (CPPT)´, a fluorescence-activated cell sorting platform that uses fluorescent probes to visualize and quantify cellular traits and connects this phenotypic profile with a cell´s experimentally determined fate in single cell-derived growth and antibiotic susceptibility analysis. By applying CPPT on Staphylococcus aureus we phenotypically characterized dormant cells, exposed bimodal growth patterns in colony-derived cells and revealed different culturability of single cells on solid compared to liquid media. We demonstrate that a fluorescent vancomycin conjugate marks cellular subpopulations of vancomycin-intermediate S. aureus with increased likelihood to survive antibiotic exposure, showcasing the value of CPPT for discovery of clinically relevant biomarkers. | en_US |
dc.identifier.citation | Hira, Singh, Halder, Mahmutovic, Ajayi, Sekh, Hegstad, Johannessen, Lentz. Single-cell phenotypic profiling and backtracing exposes and predicts clinically relevant subpopulations in isogenic Staphylococcus aureus communities. Communications Biology. 2024;7(1):1228 | en_US |
dc.identifier.cristinID | FRIDAID 2312920 | |
dc.identifier.doi | 10.1038/s42003-024-06894-z | |
dc.identifier.issn | 2399-3642 | |
dc.identifier.uri | https://hdl.handle.net/10037/35708 | |
dc.language.iso | eng | en_US |
dc.publisher | Springer Nature | en_US |
dc.relation.journal | Communications Biology | |
dc.rights.accessRights | openAccess | en_US |
dc.rights.holder | Copyright 2024 The Author(s) | en_US |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0 | en_US |
dc.rights | Attribution 4.0 International (CC BY 4.0) | en_US |
dc.title | Single-cell phenotypic profiling and backtracing exposes and predicts clinically relevant subpopulations in isogenic Staphylococcus aureus communities | en_US |
dc.type.version | publishedVersion | en_US |
dc.type | Journal article | en_US |
dc.type | Tidsskriftartikkel | en_US |
dc.type | Peer reviewed | en_US |