Evidence map›Paper›PMID 24776933›Full record

ArticleSensors (Basel, Switzerland)2014

A DNA microarray-based assay to detect dual infection with two dengue virus serotypes.

Alvaro Díaz-Badillo, María de Lourdes Muñoz, Gerardo Perez-Ramirez, Victor Altuzar, Juan Burgueño, Julio G Mendoza-Alvarez, Jorge P Martínez-Muñoz, Alejandro Cisneros, Joel Navarrete-Espinosa, Feliciano Sanchez-Sinencio

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.3field-weighted citation impact, top 17% 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

5 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
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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 6 institutions in 1 country.

Alvaro Díaz-BadilloDepartment of Genetics and Molecular Biology, Centro de Investigación y de Estudios Avanzados del IPN (CINVESTAV-IPN), Mexico D.F., 07360, Mexico. alvaro@cinvestav.mx.
María de Lourdes MuñozDepartment of Genetics and Molecular Biology, Centro de Investigación y de Estudios Avanzados del IPN (CINVESTAV-IPN), Mexico D.F., 07360, Mexico. lmunoz@cinvestav.mx.
Gerardo Perez-RamirezDepartment of Genetics and Molecular Biology, Centro de Investigación y de Estudios Avanzados del IPN (CINVESTAV-IPN), Mexico D.F., 07360, Mexico. gperezr@cinvestav.mx.
Victor AltuzarCentro de Investigación en Micro y Nanotecnología (MICRONA), Universidad Veracruzana, Boca del Rio, Veracruz, 94294, Mexico. valtuzar@gmail.com.
Juan BurgueñoCentro Internacional de Mejoramiento de Maíz y Trigo (CIMMYT), Texcoco, Estado de Mexico, 56237, Mexico. jabfpc@yahoo.com.
Julio G Mendoza-AlvarezDepartment of Physics, Centro de Investigación y de Estudios Avanzados del IPN (CINVESTAV-IPN), Mexico D.F., 07360, Mexico. juliogma1@gmail.com.
Jorge P Martínez-MuñozLaboratorio Estatal de Salud Pública de Oaxaca, Servicios de Salud de Oaxaca, Oaxaca, 71257, Mexico. monterrey2bios@hotmail.com.
Alejandro CisnerosEscuela de Medicina Veterinaria y Zootecnia, Universidad Autónoma Benito Juarez de Oaxaca, 68120, Oaxaca, Mexico. alecis@msn.com.
Joel Navarrete-EspinosaDivisión de Epidemiologia, Coordinación de Programas Integrados de Salud, Instituto Mexicano del Seguro Social, Mexico D.F., 06700, Mexico. joel.navarrete@imss.gob.mx.
Feliciano Sanchez-SinencioDepartment of Physics, Centro de Investigación y de Estudios Avanzados del IPN (CINVESTAV-IPN), Mexico D.F., 07360, Mexico. fsanchez@fis.cinvestav.mx.
Center for Research and Advanced Studies of the National Polytechnic Institute · MXBenito Juárez Autonomous University of Oaxaca · MXCentro Internacional de Mejoramiento de Maíz Y Trigo · MXInstituto Tecnológico de Oaxaca · MXMexican Social Security Institute · MXUniversidad Veracruzana · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Here; we have described and tested a microarray based-method for the screening of dengue virus (DENV) serotypes. This DNA microarray assay is specific and sensitive and can detect dual infections with two dengue virus serotypes and single-serotype infections. Other methodologies may underestimate samples containing more than one serotype. This technology can be used to discriminate between the four DENV serotypes. Single-stranded DNA targets were covalently attached to glass slides and hybridised with specific labelled probes. DENV isolates and dengue samples were used to evaluate microarray performance. Our results demonstrate that the probes hybridized specifically to DENV serotypes; with no detection of unspecific signals. This finding provides evidence that specific probes can effectively identify single and double infections in DENV samples.

Indexed as

Biosensing TechniquesDengueDengue VirusDNA, ViralEquipment DesignEquipment Failure AnalysisHumansOligonucleotide Array Sequence AnalysisReproducibility of ResultsSensitivity and SpecificitySerogroupDNA, Viral

Identifiers

PMID24776933
PMCPMC4063023
OpenAlexW2131467229

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.