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PXD037507-2

PXD037507 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleA Subtractive Proteomics Approach for the Identification of Immunodominant Acinetobacter baumannii Vaccine Candidate Proteins
DescriptionBackground: Acinetobacter baumannii is one of the most dangerous multidrug-resistant pathogens worldwide. Currently, 50-70% of clinical isolates of A. baumannii are extensively drug-resistant (XDR) and available antibiotic options against A. baumannii infections are limited. There are still needs to discover specific de facto bacterial antigenic proteins that could be effective vaccine candidates in human infection. With the growth of research in recent years, several candidate molecules have been identified for vaccine development. So far, there is no public health authorities approved vaccine against A. baumannii. Methods: The purpose of this study was to identify immunodominant vaccine candidate proteins that can be immunoprecipitated specifically with patients’ IgGs. Relaying on hypothesis that IgGs of infected person have capacity to capture immunodominant bacterial proteins. Herein, outer membrane and secreted proteins of sensitive and drug resistant A. baumannii were captured by using IgGs obtained from patient and healthy control sera and were identified by LC-MS/MS analysis. Results: By using subtractive proteomic approach, we determined 34 unique proteins which were captured only in drug-resistant A. baumannii strain via patient sera. After extensive evaluation of predicted epitope regions, solubility, membrane transverse characteristics, and structural properties, we selected several notable vaccine candidates. Conclusion: We identified vaccine candidate proteins that triggered de facto response of human immune system against the antibiotic-resistant A. baumannii. Precipitation of bacterial proteins via patient immunoglobulins was a novel approach to identify the proteins which have potential to trigger to response in patient immune system.
HostingRepositoryPRIDE
AnnounceDate2023-11-14
AnnouncementXMLSubmission_2023-11-14_08:59:35.708.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterServet ÖZCAN
SpeciesList scientific name: Acinetobacter baumannii (strain ATCC 17978 / CIP 53.77 / LMG 1025 / NCDC KC755 / 5377); NCBI TaxID: 400667; scientific name: Acinetobacter baumannii AYE; NCBI TaxID: 509173;
ModificationListacetylated residue; monohydroxylated residue; iodoacetamide derivatized residue
InstrumentTripleTOF 5600
Dataset History
RevisionDatetimeStatusChangeLog Entry
02022-10-17 01:51:43ID requested
12022-11-02 13:17:51announced
22023-11-14 08:59:36announced2023-11-14: Updated project metadata.
Publication List
Dataset with its publication pending
Keyword List
submitter keyword: Immunodominant, Vaccine candidate, Immunoprecipitation,Acinetobacter baumannii (A. baumannii), Proteomics
Contact List
Servet ÖZCAN
contact affiliation1- Department of Biology, Faculty of Science, Erciyes University, Kayseri, Turkey 2- Genome and Stem Cell Center (GENKÖK) Erciyes University, Kayseri, Turkey
contact emailozcan@erciyes.edu.tr
lab head
Servet ÖZCAN
contact affiliationErciyes University Genkök
contact emailozcan@erciyes.edu.tr
dataset submitter
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