Mass spectrometry peptidomics data from infected and uninfected porcine wounds
(2025) In Scientific Data 12. p.1-6- Abstract
Recently, mass spectrometry based peptidomics studies have proven useful in the identification of biomarkers and bioactive peptide-based therapeutics. Here, we present a dataset comprised of temporal wound fluid peptidomics data from highly defined porcine models. Wound fluids from porcine wounds infected with Staphylococcus aureus and Pseudomonas aeruginosa, and uninfected controls, were sampled at different timepoints of the infection. Peptides were extracted from the samples, followed by liquid chromatography tandem mass spectrometry analysis in data dependent acquisition mode. The resulting spectra and searched files have been deposited to online repositories and made easily accessible to enable further investigations of the... (More)
Recently, mass spectrometry based peptidomics studies have proven useful in the identification of biomarkers and bioactive peptide-based therapeutics. Here, we present a dataset comprised of temporal wound fluid peptidomics data from highly defined porcine models. Wound fluids from porcine wounds infected with Staphylococcus aureus and Pseudomonas aeruginosa, and uninfected controls, were sampled at different timepoints of the infection. Peptides were extracted from the samples, followed by liquid chromatography tandem mass spectrometry analysis in data dependent acquisition mode. The resulting spectra and searched files have been deposited to online repositories and made easily accessible to enable further investigations of the infected and uninfected wound fluid peptidome.
(Less)
- author
- Forsberg, Fredrik
LU
; Kjellström, Sven LU ; Petrlova, Jitka LU ; Puthia, Manoj LU ; Schmidtchen, Artur LU ; Malmström, Johan LU
and Hartman, Erik LU
- organization
-
- Extracellular signaling and cell fate (research group)
- StemTherapy: National Initiative on Stem Cells for Regenerative Therapy
- Dermatology and Venereology (Lund)
- BioMS (research group)
- Mass Spectrometry
- Schmidtchen Lab (research group)
- Infect@LU
- LU Profile Area: Light and Materials
- LTH Profile Area: Engineering Health
- epIgG (research group)
- SEBRA Sepsis and Bacterial Resistance Alliance (research group)
- Infection Medicine Proteomics (research group)
- Infection Medicine (BMC)
- publishing date
- 2025-09-02
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Scientific Data
- volume
- 12
- article number
- 1533
- pages
- 1 - 6
- publisher
- Nature Publishing Group
- external identifiers
-
- pmid:40897740
- ISSN
- 2052-4463
- DOI
- 10.1038/s41597-025-05842-8
- language
- English
- LU publication?
- yes
- additional info
- © 2025. The Author(s).
- id
- 36aa2577-eed2-4eca-8e59-59f3fc984120
- date added to LUP
- 2025-09-04 08:11:26
- date last changed
- 2025-09-04 09:14:42
@article{36aa2577-eed2-4eca-8e59-59f3fc984120, abstract = {{<p>Recently, mass spectrometry based peptidomics studies have proven useful in the identification of biomarkers and bioactive peptide-based therapeutics. Here, we present a dataset comprised of temporal wound fluid peptidomics data from highly defined porcine models. Wound fluids from porcine wounds infected with Staphylococcus aureus and Pseudomonas aeruginosa, and uninfected controls, were sampled at different timepoints of the infection. Peptides were extracted from the samples, followed by liquid chromatography tandem mass spectrometry analysis in data dependent acquisition mode. The resulting spectra and searched files have been deposited to online repositories and made easily accessible to enable further investigations of the infected and uninfected wound fluid peptidome.</p>}}, author = {{Forsberg, Fredrik and Kjellström, Sven and Petrlova, Jitka and Puthia, Manoj and Schmidtchen, Artur and Malmström, Johan and Hartman, Erik}}, issn = {{2052-4463}}, language = {{eng}}, month = {{09}}, pages = {{1--6}}, publisher = {{Nature Publishing Group}}, series = {{Scientific Data}}, title = {{Mass spectrometry peptidomics data from infected and uninfected porcine wounds}}, url = {{http://dx.doi.org/10.1038/s41597-025-05842-8}}, doi = {{10.1038/s41597-025-05842-8}}, volume = {{12}}, year = {{2025}}, }