Evidence map›Paper›PMID 28019002›Full record

ArticleForensic science, medicine, and pathology2017

Characterization of Yersinia species by protein profiling using automated microfluidic capillary electrophoresis.

Victoria M Bennett, Dennis McNevin, Paul Roffey, Michelle E Gahan

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In one paragraph

Article in Forensic science, medicine, and pathology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.9field-weighted citation impact, top 18% 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

0 citing papers in PubMed, 4 citations in OpenAlex.

No citing paper in PubMed yet.

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.

Victoria M BennettNational Centre for Forensic Studies, Faculty of Education, Science, Technology and Mathematics, University of Canberra, Bruce, ACT, 2617, Australia.
Dennis McNevinNational Centre for Forensic Studies, Faculty of Education, Science, Technology and Mathematics, University of Canberra, Bruce, ACT, 2617, Australia.
Paul RoffeySpecialist Operations-Forensics, Australian Federal Police, PO Box 401, Canberra, ACT, 2601, Australia.
Michelle E GahanNational Centre for Forensic Studies, Faculty of Education, Science, Technology and Mathematics, University of Canberra, Bruce, ACT, 2617, Australia. michelle.gahan@canberra.edu.au.
University of Canberra · AUAustralian Federal Police · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Yersinia pestis is a biological agent of high risk to national security due to its ability to be easily disseminated and transmitted among humans. If Y. pestis was to be utilized in a deliberate disease outbreak it would be essential to rapidly and accurately identify the agent. Current identification methods for Yersinia species are limited by their reliance on cultivation, the time taken to achieve results and/or the use of protocols that are not amenable for field use. Faster identification methods are urgently required. Microfluidic capillary electrophoresis was used to identify seven Yersinia species based on their protein profiles. Further objectives included determining if Yersinia species could be detected in mixtures of milk products and Escherichia coli, determining if Yersinia could be detected in a blinded identification and reproducibility across two platforms. Two characteristic protein bands were detected at 50 kilodaltons (kDa) and between 50 and 75 kDa for the Yersinia species. Individual Yersinia species could be differentiated from one another and distinguished from E. coli, Bacillus anthracis Sterne strain and Dipel (containing Bacillus thuringiensis). Due to the high protein content of milk products Yersinia could not be detected when mixed with these but was detected when mixed with E. coli. Species were correctly identified with 96% success in blinded procedures using 12 individuals. Whilst protein profile patterns were reproducible across platforms there was some discrepancy in protein sizing. This study demonstrates that protein profiling using microfluidic capillary electrophoresis is able to rapidly and reproducibly identify and characterize Yersinia species. Results show this technique is a powerful front-line, rapid and broad range screening method capable of identifying and differentiating biological agents, hoax agents and environmental bacterial species.

Indexed as

AnimalsBacillusBacterial ProteinsBiological Warfare AgentsElectrophoresis, CapillaryEscherichia coliHumansMicrofluidicsMilkReproducibility of ResultsYersiniaBacterial ProteinsBiological Warfare AgentsExperionHoax agentsMicrofluidic capillary electrophoresisProtein profilingYersinia

Identifiers

PMID28019002
OpenAlexW2566370286

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.