You will know by its tail: a method for quantification of heterogeneity of bacterial populations using single-cell MIC profiling.

Pacocha, Natalia; Zapotoczna, Marta; Makuch, Karol; Boguslawski, Jakub; Garstecki, Piotr

Pacocha, Natalia; Zapotoczna, Marta; Makuch, Karol; Boguslawski, Jakub; Garstecki, Piotr.

Afiliação

Pacocha N; Institute of Physical Chemistry, Polish Academy of Sciences, Kasprzaka 44/52, 01-224 Warsaw, Poland. kmakuch@ichf.edu.pl.
Zapotoczna M; Department of Molecular Microbiology, Institute of Microbiology, Faculty of Biology, Biological and Chemical Research Centre, University of Warsaw, Zwirki i Wigury 101, 02-089 Warsaw, Poland.
Makuch K; Institute of Physical Chemistry, Polish Academy of Sciences, Kasprzaka 44/52, 01-224 Warsaw, Poland. kmakuch@ichf.edu.pl.
Boguslawski J; International Centre for Translational Eye Research, Institute of Physical Chemistry, Polish Academy of Sciences, Kasprzaka 44/52, 01-224 Warsaw, Poland.
Garstecki P; Department of Physical Chemistry of Biological Systems, Institute of Physical Chemistry, Polish Academy of Sciences, Kasprzaka 44/52, 01-224 Warsaw, Poland.

Lab Chip ; 22(22): 4317-4326, 2022 11 08.

Article em En | MEDLINE | ID: mdl-36222371

Assuntos

Infecções Estafilocócicas; Staphylococcus aureus; Humanos; Staphylococcus aureus/genética; Pseudomonas aeruginosa; Antibacterianos/farmacologia; Bactérias; Testes de Sensibilidade Microbiana

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Infecções Estafilocócicas / Staphylococcus aureus Limite: Humans Idioma: En Revista: Lab Chip Assunto da revista: BIOTECNOLOGIA / QUIMICA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Polônia

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google