PXD037507

PXD037507 is an original dataset announced via ProteomeXchange.

Title	A Subtractive Proteomics Approach for the Identification of Immunodominant Acinetobacter baumannii Vaccine Candidate Proteins
Description	Background: 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.
HostingRepository	PRIDE
AnnounceDate	2023-11-14
AnnouncementXML	Submission_2023-11-14_08:59:35.708.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Servet 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;
ModificationList	acetylated residue; monohydroxylated residue; iodoacetamide derivatized residue
Instrument	TripleTOF 5600

Revision	Datetime	Status	ChangeLog Entry
0	2022-10-17 01:51:43	ID requested
1	2022-11-02 13:17:51	announced
⏵ 2	2023-11-14 08:59:36	announced	2023-11-14: Updated project metadata.

Dataset with its publication pending

submitter keyword: Immunodominant, Vaccine candidate, Immunoprecipitation,Acinetobacter baumannii (A. baumannii), Proteomics

Servet ÖZCAN
contact affiliation	1- Department of Biology, Faculty of Science, Erciyes University, Kayseri, Turkey 2- Genome and Stem Cell Center (GENKÖK) Erciyes University, Kayseri, Turkey
contact email	ozcan@erciyes.edu.tr
lab head
Servet ÖZCAN
contact affiliation	Erciyes University Genkök
contact email	ozcan@erciyes.edu.tr
dataset submitter

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PRIDE project URI

• PRIDE
  1. PXD037507
     1. Label: PRIDE project
     2. Name: A Subtractive Proteomics Approach for the Identification of Immunodominant Acinetobacter baumannii Vaccine Candidate Proteins