Machine Learning Establishes Single-Cell Calcium Dynamics as an Early Indicator of Antibiotic Response

Changes in bacterial physiology necessarily precede cell death in response to antibiotics. Herein we investigate the early disruption of Ca(2+) homeostasis as a marker for antibiotic response. Using a machine learning framework, we quantify the temporal information encoded in single-cell Ca(2+) dyna...

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Detalles Bibliográficos
Autores principales: Meyer, Christian T., Jewell, Megan P., Miller, Eugene J., Kralj, Joel M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8148219/
https://www.ncbi.nlm.nih.gov/pubmed/34063175
http://dx.doi.org/10.3390/microorganisms9051000

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8148219/
https://www.ncbi.nlm.nih.gov/pubmed/34063175
http://dx.doi.org/10.3390/microorganisms9051000

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