Evidence map›Paper›PMID 25333971›Full record

ArticlePloS one2014

Optimized method for preparation of IgG-binding bacterial magnetic nanoparticles.

Denis S Grouzdev, Marina V Dziuba, Denis V Kurek, Alexander I Ovchinnikov, Nadezhda A Zhigalova, Boris B Kuznetsov, Konstantin G Skryabin

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

8 citing papers in PubMed.

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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.

Denis S GrouzdevFaculty of Biology, Moscow State University, Moscow, Russia; Centre Bioengineering, Russian Academy of Sciences, Moscow, Russia.
Marina V DziubaCentre Bioengineering, Russian Academy of Sciences, Moscow, Russia.
Denis V KurekCentre Bioengineering, Russian Academy of Sciences, Moscow, Russia.
Alexander I OvchinnikovCentre Bioengineering, Russian Academy of Sciences, Moscow, Russia.
Nadezhda A ZhigalovaCentre Bioengineering, Russian Academy of Sciences, Moscow, Russia.
Boris B KuznetsovCentre Bioengineering, Russian Academy of Sciences, Moscow, Russia.
Konstantin G SkryabinCentre Bioengineering, Russian Academy of Sciences, Moscow, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, the optimized method for designing IgG-binding magnetosomes based on integration of IgG-binding fusion proteins into magnetosome membrane in vitro is presented. Fusion proteins Mbb and Mistbb consisting of magnetosome membrane protein MamC and membrane associating protein Mistic from Bacillus subtilis as anchors and BB-domains of Staphylococcus aureus protein A as IgG-binding region were used. With Response Surface Methodology (RSM) the highest level of proteins integration into magnetosome membrane was achieved under the following parameters: pH 8.78, without adding NaCl and 55 s of vortexing for Mbb; pH 9.48, 323 mM NaCl and 55 s of vortexing for Mistbb. Modified magnetosomes with Mbb and Mistbb displayed on their surface demonstrated comparable levels of IgG-binding activity, suggesting that both proteins could be efficiently used as anchor molecules. We also demonstrated that such modified magnetosomes are stable in PBS buffer during at least two weeks. IgG-binding magnetosomes obtained by this approach could serve as a multifunctional platform for displaying various types of antibodies.

Indexed as

Bacterial ProteinsImmunoglobulin GMagnetite NanoparticlesMagnetosomesMembrane ProteinsProtein BindingStaphylococcal Protein AStaphylococcus aureusBacterial ProteinsImmunoglobulin GMagnetite NanoparticlesMembrane ProteinsStaphylococcal Protein A

Identifiers

PMID25333971
PMCPMC4198182

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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.