Evidence map›Paper›PMID 23645110›Full record

ArticleSensors (Basel, Switzerland)2013

A high-throughput antibody-based microarray typing platform.

Andrew Gehring, Charles Barnett, Ted Chu, Chitrita DebRoy, Doris D'Souza, Shannon Eaker, Pina Fratamico, Barbara Gillespie, Narasimha Hegde, Kevin Jones and 5 more

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-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

4 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
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  4. 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

15 authors at 5 institutions in 1 country.

Andrew GehringMolecular Characterization of Foodborne Pathogens Research Unit, United States Department of Agriculture-North Atlantic Area-Agricultural Research Service-Eastern Regional Research Center, Wyndmoor, PA 19038, USA. andrew.gehring@ars.usda.gov
Charles Barnett
Ted Chu
Chitrita DebRoy
Doris D'Souza
Shannon Eaker
Pina Fratamico
Barbara Gillespie
Narasimha Hegde
Kevin Jones
Jun Lin
Stephen Oliver
George Paoli
Ashan Perera
Joseph Uknalis
University of Tennessee at Knoxville · USEastern Regional Research Center · USPennsylvania State University · USUnited States Department of Agriculture · USAgricultural Research Service · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many rapid methods have been developed for screening foods for the presence of pathogenic microorganisms. Rapid methods that have the additional ability to identify microorganisms via multiplexed immunological recognition have the potential for classification or typing of microbial contaminants thus facilitating epidemiological investigations that aim to identify outbreaks and trace back the contamination to its source. This manuscript introduces a novel, high throughput typing platform that employs microarrayed multiwell plate substrates and laser-induced fluorescence of the nucleic acid intercalating dye/stain SYBR Gold for detection of antibody-captured bacteria. The aim of this study was to use this platform for comparison of different sets of antibodies raised against the same pathogens as well as demonstrate its potential effectiveness for serotyping. To that end, two sets of antibodies raised against each of the "Big Six" non-O157 Shiga toxin-producing E. coli (STEC) as well as E. coli O157:H7 were array-printed into microtiter plates, and serial dilutions of the bacteria were added and subsequently detected. Though antibody specificity was not sufficient for the development of an STEC serotyping method, the STEC antibody sets performed reasonably well exhibiting that specificity increased at lower capture antibody concentrations or, conversely, at lower bacterial target concentrations. The favorable results indicated that with sufficiently selective and ideally concentrated sets of biorecognition elements (e.g., antibodies or aptamers), this high-throughput platform can be used to rapidly type microbial isolates derived from food samples within ca. 80 min of total assay time. It can also potentially be used to detect the pathogens from food enrichments and at least serve as a platform for testing antibodies.

Indexed as

Antibodies, BacterialBacterial Typing TechniquesColony Count, MicrobialEscherichia coli O157FluorescenceHigh-Throughput Screening AssaysLasersMicroarray AnalysisAntibodies, Bacterial

Identifiers

PMID23645110
PMCPMC3690026
OpenAlexW2079890808

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.