Evidence map›Paper›PMID 20942949›Full record

ArticleBMC biotechnology2010

Multiplexed, rapid detection of H5N1 using a PCR-free nanoparticle-based genomic microarray assay.

Jiangqin Zhao, Shixing Tang, James Storhoff, Sudhakar Marla, Y Paul Bao, Xue Wang, Eric Y Wong, Viswanath Ragupathy, Zhiping Ye, Indira K Hewlett

Open access · goldAbstract read
In one paragraph

Article in BMC biotechnology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

17 citing papers in PubMed, 51 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

10 authors at 2 institutions in 1 country.

Jiangqin ZhaoLab of Molecular Virology, Center for Biologics Evaluation and Research, Food and Drug Administration, Bethesda, MD 20892, USA. Jiangqin.Zhao@fda.hhs.gov
Shixing Tang
James Storhoff
Sudhakar Marla
Y Paul Bao
Xue Wang
Eric Y Wong
Viswanath Ragupathy
Zhiping Ye
Indira K Hewlett
Center for Biologics Evaluation and Research · USEmisphere Technologies (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFor more than a decade there has been increasing interest in the use of nanotechnology and microarray platforms for diagnostic applications. In this report, we describe a rapid and simple gold nanoparticle (NP)-based genomic microarray assay for specific identification of avian influenza virus H5N1 and its discrimination from other major influenza A virus strains (H1N1, H3N2).

resultsCapture and intermediate oligonucleotides were designed based on the consensus sequences of the matrix (M) gene of H1N1, H3N2 and H5N1 viruses, and sequences specific for the hemaglutinin (HA) and neuraminidase (NA) genes of the H5N1 virus. Viral RNA was detected within 2.5 hours using capture-target-intermediate oligonucleotide hybridization and gold NP-mediated silver staining in the absence of RNA fragmentation, target amplification, and enzymatic reactions. The lower limit of detection (LOD) of the assay was less than 100 fM for purified PCR fragments and 103 TCID50 units for H5N1 viral RNA.

conclusionsThe NP-based microarray assay was able to detect and distinguish H5N1 sequences from those of major influenza A viruses (H1N1, H3N2). The new method described here may be useful for simultaneous detection and subtyping of major influenza A viruses.

Indexed as

Influenza A Virus, H5N1 SubtypeNanoparticlesOligonucleotide Array Sequence AnalysisOligonucleotide ProbesReverse Transcriptase Polymerase Chain ReactionRNA, ViralSensitivity and SpecificityOligonucleotide ProbesRNA, Viral

Identifiers

PMID20942949
PMCPMC2964543
OpenAlexW2124457297

What OpenQuestion holds

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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.