Integrating multi-omics data with network modeling to characterize Pseudomonas aeruginosa persister cell metabolism.

Ficarrotta JM, Blazier AS, Metris A, Rhodes SL, Kolling GL, Papin JA

DOI: 10.1128/jb.00373-25
Published: 2026 Aug 20
Container: Journal of bacteriology
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1128/jb.00373-25,
  title = {Integrating multi-omics data with network modeling to characterize Pseudomonas aeruginosa persister cell metabolism.},
  author = {Ficarrotta JM and Blazier AS and Metris A and Rhodes SL and Kolling GL and Papin JA},
  year = {2026},
  journal = {Journal of bacteriology},
  doi = {10.1128/jb.00373-25},
  url = {https://doi.org/10.1128/jb.00373-25}
}

RIS

TY  - JOUR
TI  - Integrating multi-omics data with network modeling to characterize Pseudomonas aeruginosa persister cell metabolism.
AU  - Ficarrotta JM
AU  - Blazier AS
AU  - Metris A
AU  - Rhodes SL
AU  - Kolling GL
AU  - Papin JA
PY  - 2026
JO  - Journal of bacteriology
DO  - 10.1128/jb.00373-25
UR  - https://doi.org/10.1128/jb.00373-25
ER  -

APA

JM, F., AS, B., A, M., SL, R., GL, K., & JA, P. (2026). Integrating multi-omics data with network modeling to characterize Pseudomonas aeruginosa persister cell metabolism.. Journal of bacteriology. https://doi.org/10.1128/jb.00373-25

Source records

pubmed · retrieved 2026-09-26T22:06:15.922Z