Evidence map›Paper›PMID 30735540›Full record

ArticlePloS one2019

Axiom Microbiome Array, the next generation microarray for high-throughput pathogen and microbiome analysis.

James B Thissen, Nicholas A Be, Kevin McLoughlin, Shea Gardner, Paul G Rack, Michael H Shapero, Raymond R R Rowland, Tom Slezak, Crystal J Jaing

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

15 citing papers in PubMed, 33 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

9 authors at 3 institutions in 1 country.

James B ThissenPhysical & Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, California, United States of America.ORCID 0000-0002-4693-5886
Nicholas A BePhysical & Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, California, United States of America.
Kevin McLoughlinComputation Directorate, Lawrence Livermore National Laboratory, Livermore, California, United States of America.
Shea GardnerComputation Directorate, Lawrence Livermore National Laboratory, Livermore, California, United States of America.
Paul G RackThermo Fisher Scientific, Santa Clara, California, United States of America.
Michael H ShaperoThermo Fisher Scientific, Santa Clara, California, United States of America.
Raymond R R RowlandDepartment of Diagnostic Medicine and Pathobiology, Kansas State University, Manhattan, Kansas, United States of America.
Tom SlezakComputation Directorate, Lawrence Livermore National Laboratory, Livermore, California, United States of America.
Crystal J JaingPhysical & Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, California, United States of America.ORCID 0000-0001-9933-3005
Lawrence Livermore National Laboratory · USThermo Fisher Scientific (United States) · USKansas State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microarrays have proven to be useful in rapid detection of many viruses and bacteria. Pathogen detection microarrays have been used to diagnose viral and bacterial infections in clinical samples and to evaluate the safety of biological drug materials. In this study, the Axiom Microbiome Array was evaluated to determine its sensitivity, specificity and utility in microbiome analysis of veterinary clinical samples. The array contains probes designed to detect more than 12,000 species of viruses, bacteria, fungi, protozoa and archaea, yielding the most comprehensive microbial detection platform built to date. The array was able to detect Shigella and Aspergillus at 100 genome copies, and vaccinia virus DNA at 1,000 genome copies. The Axiom Microbiome Array made correct species-level calls in mock microbial community samples. When tested against serum, tissue, and fecal samples from pigs experimentally co-infected with porcine reproductive and respiratory syndrome virus and porcine circovirus type 2, the microarray correctly detected these two viruses and other common viral and bacterial microbiome species. This cost-effective and high-throughput microarray is an efficient tool to rapidly analyze large numbers of clinical and environmental samples for the presence of multiple viral and bacterial pathogens.

Indexed as

MicrobiotaAnimalsAspergillus fumigatusFecesGenome, BacterialGenome, ViralHigh-Throughput Screening AssaysMicroarray AnalysisNucleic Acid HybridizationPoxviridaeReproducibility of ResultsShigella flexneriSwine

Identifiers

PMID30735540
PMCPMC6368325
OpenAlexW2912167135

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.