Evidence map›Paper›PMID 36439128›Full record

ArticleFrontiers in immunology2022

A subtractive proteomics approach for the identification of immunodominant

Mustafa Burak Acar, Şerife Ayaz-Güner, Hüseyin Güner, Gökçen Dinç, Ayşegül Ulu Kılıç, Mehmet Doğanay, Servet Özcan

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.4field-weighted citation impact, top 47% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 6 citations in OpenAlex.

  1. Pangenome-GuidedPharmaceuticals (Basel, Switzerland) · 2026
    Article
  2. Proteomic Applications in Vaccine Development.Advances in experimental medicine and biology · 2026
    Review
  3. Review
  4. Article
  5. Article
  6. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 1 country.

Mustafa Burak AcarDepartment of Biology, Faculty of Science, Erciyes University, Kayseri, Turkey.
Şerife Ayaz-GünerDepartment of Molecular Biology and Genetics, Faculty of Life and Natural Science, Abdullah Gül University, Kayseri, Turkey.
Hüseyin GünerDepartment of Molecular Biology and Genetics, Faculty of Life and Natural Science, Abdullah Gül University, Kayseri, Turkey.
Gökçen DinçGenome and Stem Cell Center (GENKÖK), Erciyes University, Kayseri, Turkey.
Ayşegül Ulu KılıçDepartment of Infectious Disease and Clinical Microbiology, Faculty of Medicine, Erciyes University, Kayseri, Turkey.
Mehmet DoğanayDepartment of Infectious Diseases, Faculty of Medicine, Lokman Hekim University, Ankara, Turkey.
Servet ÖzcanDepartment of Biology, Faculty of Science, Erciyes University, Kayseri, Turkey.
Erciyes University · TRAbdullah Gül University · TRIzmir Institute of Technology · TRLokman Hekim Üniversitesi · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Methods: This study aimed to identify immunodominant vaccine candidate proteins that can be immunoprecipitated specifically with patients' IgGs, relying on the hypothesis that the infected person's IgGs can capture immunodominant bacterial proteins. Herein, the outer-membrane and secreted proteins of sensitive and drug-resistant Results: Using the subtractive proteomic approach, we determined 34 unique proteins captured only in drug-resistant Conclusion: We identified vaccine candidate proteins that triggered a

Indexed as

Acinetobacter baumanniiAnti-Bacterial AgentsBacterial ProteinsChromatography, LiquidHumansProteomicsTandem Mass SpectrometryAnti-Bacterial AgentsBacterial ProteinsAcinetobacter baumannii (A. baumannii)immunodominantimmunoprecipitationproteomicsvaccine candidate

Identifiers

PMID36439128
PMCPMC9687788
OpenAlexW4308878067

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.