Article ; Online: Single-cell patterning and characterisation of antibiotic persistent bacteria using bio-sCAPA.
2023 Volume 23, Issue 23, Page(s) 5018–5028
Abstract: In microbiology, accessing single-cell information within large populations is pivotal. Here we introduce bio-sCAPA, a technique for patterning bacterial cells in defined geometric arrangements and monitoring their growth in various nutrient environments. ...
Abstract | In microbiology, accessing single-cell information within large populations is pivotal. Here we introduce bio-sCAPA, a technique for patterning bacterial cells in defined geometric arrangements and monitoring their growth in various nutrient environments. We demonstrate bio-sCAPA with a study of subpopulations of antibiotic-tolerant bacteria, known as persister cells, which can survive exposure to high doses of antibiotics despite lacking any genetic resistance to the drug. Persister cells are associated with chronic and relapsing infections, yet are difficult to study due in part to a lack of scalable, single-cell characterisation methods. As >10 |
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MeSH term(s) | Humans ; Anti-Bacterial Agents/pharmacology ; Anti-Bacterial Agents/therapeutic use ; Staphylococcus aureus/genetics ; Bacteria ; Staphylococcal Infections/drug therapy ; Floxacillin |
Chemical Substances | Anti-Bacterial Agents ; Floxacillin (43B2M34G2V) |
Language | English |
Publishing date | 2023-11-21 |
Publishing country | England |
Document type | Journal Article ; Research Support, Non-U.S. Gov't |
ZDB-ID | 2056646-3 |
ISSN | 1473-0189 ; 1473-0197 |
ISSN (online) | 1473-0189 |
ISSN | 1473-0197 |
DOI | 10.1039/d3lc00611e |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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