Evidence map›Paper›PMID 20236838›Full record

ArticleJournal of the American Society for Mass Spectrometry2010

Targeted proteomics approach to species-level identification of Bacillus thuringiensis spores by AP-MALDI-MS.

Jennifer Nguyen, Scott C Russell

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Article in Journal of the American Society for Mass Spectrometry, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

3 citing papers in PubMed, 15 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Jennifer NguyenDepartment of Chemistry, California State University, Stanislaus, Turlock, California 95382-0299, USA.
Scott C Russell
California State University, Stanislaus · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anthrax infections progress at a rapid pace, making rapid detection methods of utmost importance. MALDI-MS proteomics methods focused on Bacillus anthracis detection have targeted chromosomally encoded proteins, which are highly conserved between closely related species, hindering species identification. Presented here is an AP-MALDI-MS method targeting plasmid-borne proteins from Bacillus spores for species-level identification. A bioinformatics analysis revealed that 60.3% and 75.4% of tryptic peptides from plasmid-borne proteins of B. anthracis and B. thuringiensis were species-specific, respectively. Reported here is a method in which plasmid-borne delta-endotoxins were extracted directly from B. thuringiensis spores in 100 mM KOH. The pH was then adjusted to 8 and a 5-min trypsin digestion was performed on the extracted proteins. The resulting tryptic peptides were analyzed by AP-MALDI-MS/MS, which produced a definitive identification the B. thuringiensis species-specific Cry1Ab protein with a MASCOT score of 278 and expect value of 7.5 x 10(-23). This method has demonstrated the detection and identification of B. thuringiensis spores at the species level following a 5-min trypsin digestion. The challenges in applying a similar approach to the detection of plasmid-borne protein toxins from B. anthracis are also discussed.

Indexed as

Bacillus thuringiensisBacillus thuringiensis ToxinsBacterial ProteinsElectrophoresis, Polyacrylamide GelEndotoxinsHemolysin ProteinsHydrogen-Ion ConcentrationPeptide FragmentsProteomicsSolubilitySpecies SpecificitySpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationSpores, BacterialTrypsinBacillus thuringiensis ToxinsBacterial ProteinsEndotoxinsHemolysin Proteinsinsecticidal crystal protein, Bacillus ThuringiensisPeptide FragmentsTrypsin

Identifiers

PMID20236838
OpenAlexW2014322428

What OpenQuestion holds

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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.