Evidence map›Paper›PMID 27077050›Full record

ArticleBiomolecular detection and quantification2016

Evaluation of microbial qPCR workflows using engineered Saccharomyces cerevisiae.

S M Da Silva, L K Vang, N D Olson, S P Lund, A S Downey, Z Kelman, M L Salit, N J Lin, J B Morrow

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biomolecular detection and quantification, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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.

S M Da SilvaBiosystems and Biomaterials Division, National Institute of Standards and Technology, Gaithersburg, MD, USA.
L K VangBiosystems and Biomaterials Division, National Institute of Standards and Technology, Gaithersburg, MD, USA.
N D OlsonBiosystems and Biomaterials Division, National Institute of Standards and Technology, Gaithersburg, MD, USA.
S P LundStatistical Engineering Division, National Institute of Standards and Technology, Gaithersburg, MD, USA.
A S DowneyBiosystems and Biomaterials Division, National Institute of Standards and Technology, Gaithersburg, MD, USA.
Z KelmanBiomolecular Measurement Division, National Institute of Standards and Technology, Gaithersburg, MD, USA; Institute for Bioscience and Biotechnology Research, Rockville, MD, USA.
M L SalitBiosystems and Biomaterials Division, National Institute of Standards and Technology, Gaithersburg, MD, USA; Department of Bioengineering, Stanford University, Stanford, CA, USA.
N J LinBiosystems and Biomaterials Division, National Institute of Standards and Technology, Gaithersburg, MD, USA.
J B MorrowBiosystems and Biomaterials Division, National Institute of Standards and Technology, Gaithersburg, MD, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsWe describe the development and interlaboratory study of modified Saccharomyces cerevisiae as a candidate material to evaluate a full detection workflow including DNA extraction and quantitative polymerase chain reaction (qPCR). METHODS AND

resultsS. cerevisiae NE095 was prepared by stable insertion of DNA sequence External RNA Control Consortium-00095 into S. cerevisiae BY4739 to convey selectivity. For the interlaboratory study, a binomial regression model was used to select three cell concentrations, high (4 × 10(7) cells ml(-1)), intermediate (4 × 10(5) cells ml(-1)) and low (4 × 10(3) cells ml(-1)), and the number of samples per concentration. Seven participants, including potential end users, had combined rates of positive qPCR detection (quantification cycle <37) of 100%, 40%, and 0% for high, intermediate, and low concentrations, respectively.

conclusionsThe NE095 strain was successfully detected by all participants, with the high concentration indicating a potential target concentration for a reference material. SIGNIFICANCE AND IMPACT OF THE STUDY: The engineered yeast has potential to support measurement assurance for the analytical process of qPCR, encompassing the method, equipment, and operator, to increase confidence in results and better inform decision-making in areas of applied microbiology. This material can also support process assessment for other DNA-based detection technologies.

Indexed as

ERCCEvaluation materialInterlaboratory studyqPCRReference materialSaccharomyces cerevisiae

Identifiers

PMID27077050
PMCPMC4827694

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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.