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PXD015073

PXD015073 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleThe core proteome of biofilm-grown clinical Pseudomonas aeruginosa isolates
DescriptionComparative genomics has greatly facilitated the identification of shared as well as unique features among individual cells or tissues, and thus offers the potential to find disease markers. While proteomics is recognized for its potential to generate quantitative maps of protein expression, comparative proteomics in bacteria has been largely restricted to the comparison of single cell lines or mutant strains. In this study, we used a data independent acquisition (DIA) technique, which enables global protein quantification of large sample cohorts, to record the proteome profiles of overall 27 whole genome sequenced and transcriptionally profiled clinical isolates of the opportunistic pathogen Pseudomonas aeruginosa. Analysis of the proteome profiles across the 27 clinical isolates grown under planktonic and biofilm growth conditions led to the identification of a core biofilm-associated protein profile. Furthermore, we found that protein-to-mRNA ratios between different P. aeruginosa strains are well correlated, indicating conserved patterns of post-transcriptional regulation. Uncovering core regulatory pathways, which drive biofilm formation and associated antibiotic tolerance in bacterial pathogens, promise to give clues to interactions between bacterial species and their environment and could provide useful targets for new clinical interventions to combat biofilm-associated infections.
HostingRepositoryPRIDE
AnnounceDate2024-10-22
AnnouncementXMLSubmission_2024-10-22_04:57:24.106.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterJelena Erdmann
SpeciesList scientific name: Pseudomonas aeruginosa (strain UCBPP-PA14); NCBI TaxID: 208963; scientific name: Bacteria; NCBI TaxID: NCBITaxon:2;
ModificationListdeaminated residue; iodoacetamide derivatized residue
InstrumentTripleTOF 5600
Dataset History
RevisionDatetimeStatusChangeLog Entry
02019-08-19 03:56:31ID requested
12019-09-30 07:00:40announced
22024-10-22 04:57:26announced2024-10-22: Updated project metadata.
Publication List
Erdmann J, Th, ö, ming JG, Pohl S, Pich A, Lenz C, H, ä, ussler S, Isolates. Cells, 8(10):(2019) [pubmed]
10.3390/cells8101129;
Keyword List
submitter keyword: Mass Spectrometry, DIA, Microbiology, SWATH,Bacteria
Contact List
Christof Lenz
contact affiliationInstitute of Clinical Chemistry, Bioanalytics, University Medical Center Göttingen, Göttingen, Germany
contact emailchristof.lenz@med.uni-goettingen.de
lab head
Jelena Erdmann
contact affiliationMedical School Hannover - ZFA Proteomics & Twincore, Molecular Bacteriology
contact emailerdmann.jelena@mh-hannover.de
dataset submitter
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Dataset FTP location
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