Evidence map›Paper›PMID 26866027›Full record

ArticleClinical and experimental vaccine research2016

In silico analysis of Brucella abortus Omp2b and in vitro expression of SOmp2b.

Maryam Golshani, Nafise Vaeznia, Mehdi Sahmani, Saeid Bouzari

Open access · diamondAbstract read
In one paragraph

Article in Clinical and experimental vaccine research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.6field-weighted citation impact, top 12% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Frontiers in immunology · 2024
    Article
  3. Advanced biomedical research · 2018
    Article
  4. Article
  5. Article
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

4 authors at 2 institutions in 1 country.

Maryam GolshaniDepartment of Molecular Biology, Pasteur Institute of Iran, Tehran, Iran.ORCID 0000-0002-4424-6470
Nafise VaezniaDepartment of Biotechemistry, Qazvin University of Medical Sciences, Qazvin, Iran.ORCID 0000-0002-8899-7583
Mehdi SahmaniDepartment of Biotechemistry, Qazvin University of Medical Sciences, Qazvin, Iran.ORCID 0000-0002-0069-8803
Saeid BouzariDepartment of Molecular Biology, Pasteur Institute of Iran, Tehran, Iran.ORCID 0000-0002-3134-9665
Pasteur Institute of Iran · IRQazvin University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAt present, there is no vaccine available for the prevention of human brucellosis. Brucella outer membrane protein 2b (Omp2b) is a 36 kD porin existed in common Brucella pathogens and it is considered as priority antigen for designing a new subunit vaccine. MATERIALS AND

methodsIn the current study, we aimed to predict and analyze the secondary and tertiary structures of the Brucella abortus Omp2b protein, and to predict T-cell and B-cell epitopes with the help of bioinformatics tools. Subsequently, cloning and expression of the short form of Omp2b (SOmp2b) was performed using pET28a expression vector and Escherichia coli BL21 host, respectively. The recombinant SOmp2b (rSOmp2b) was purified with Ni-NTA column.

resultsThe recombinant protein was successfully expressed in E. coli host and purified under denaturation conditions. The yield of the purified rSOmp2b was estimated by Bradford method and found to be 220 µg/mL of the culture.

conclusionOur results indicate that Omp2b protein has a potential to induce both B-cell- and T-cell-mediated immune responses and it can be evaluated as a new subunit vaccine candidate against brucellosis.

Indexed as

BrucellaEpitope predictionIn silico approachOmp2bProtein expression

Identifiers

PMID26866027
PMCPMC4742603
OpenAlexW2269412206

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Registered trials

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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.