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About:
Development and Evaluation of a SYBR Green–Based Real-Time Multiplex RT-PCR Assay for Simultaneous Detection and Serotyping of Dengue and Chikungunya Viruses
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An Entity of Type :
schema:ScholarlyArticle
, within Data Space :
covidontheweb.inria.fr
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document(s)
Type:
Academic Article
research paper
schema:ScholarlyArticle
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type
Academic Article
research paper
schema:ScholarlyArticle
isDefinedBy
Covid-on-the-Web dataset
has title
Development and Evaluation of a SYBR Green–Based Real-Time Multiplex RT-PCR Assay for Simultaneous Detection and Serotyping of Dengue and Chikungunya Viruses
Creator
Chen, Huixin
Parimelalagan, Mariya
Chu, Hann
Hapuarachchi, Hapuarachchige
Ho, Phui
Jang, Justin
Koay,
Lai, Yee
Lee, Ching
Lee, Kim
Ng,
San Ho, Phui
Siew-Chuan, Evelyn
Source
Elsevier; Medline; PMC
abstract
Chikungunya virus (CHIKV) and dengue virus (DENV) have emerged as the two most important arbovirus diseases of global health significance. Similar clinical manifestations, transmission vectors, geographical distribution, and seasonal correlation often result in misdiagnosis of chikungunya infections as dengue cases and vice versa. In this study, we developed a rapid and accurate laboratory confirmative method to simultaneously detect, quantify, and differentiate DENV serotypes 1, 2, 3, and 4 and CHIKV. This SYBR Green I–based one-step multiplex real-time RT-PCR assay is highly sensitive and specific for CHIKV and DENV. Melting temperature analysis of PCR amplicons was used to serotype DENV and to differentiate from CHIKV. The detection limit of the assay was 20, 10, 50, 5, and 10 RNA copies/reaction for DENV-1, DENV-2, DENV-3, DENV-4, and CHIKV, respectively. Our assay did not cross-react with a panel of viruses that included other flaviviruses, alphaviruses, influenza viruses, human enteroviruses, and human coronaviruses. The feasibility of using this assay for clinical diagnosis was evaluated in DENV- and CHIKV-positive patient sera. Accordingly, the assay sensitivity for DENV-1, DENV-2, DENV-3, DENV-4, and CHIKV was 89.66%, 96.67%, 96.67%, 94.12%, and 95.74%, respectively, with 100% specificity. These findings confirmed the potential of our assay to be used as a rapid test for simultaneous detection and serotyping of DENV and CHIKV in clinical samples.
has issue date
2015-10-11
(
xsd:dateTime
)
bibo:doi
10.1016/j.jmoldx.2015.06.008
bibo:pmid
26455921
has license
no-cc
sha1sum (hex)
3c64c6977d787ab930cc9af19a0de5f382863407
schema:url
https://doi.org/10.1016/j.jmoldx.2015.06.008
resource representing a document's title
Development and Evaluation of a SYBR Green–Based Real-Time Multiplex RT-PCR Assay for Simultaneous Detection and Serotyping of Dengue and Chikungunya Viruses
has PubMed Central identifier
PMC7106138
has PubMed identifier
26455921
schema:publication
J Mol Diagn
resource representing a document's body
covid:3c64c6977d787ab930cc9af19a0de5f382863407#body_text
is
schema:about
of
named entity 'DENV'
named entity 'laboratory'
named entity 'DENV'
named entity 'CHIKV'
named entity 'arbovirus'
named entity 'dengue virus'
named entity 'geographical'
named entity 'misdiagnosis'
named entity 'manifestations'
named entity 'Assay'
named entity 'Chikungunya'
named entity 'DENGUE'
named entity 'CHIKUNGUNYA'
named entity 'SEROTYPING'
named entity 'REAL-TIME'
named entity 'SIMILAR'
named entity 'CORRELATION'
named entity 'SIMULTANEOUSLY'
named entity 'MULTIPLEX'
named entity 'EVALUATION'
named entity 'DETECTION LIMIT'
named entity 'CROSS'
named entity 'DETECT'
named entity 'FEASIBILITY'
named entity 'CONFIRMED'
named entity 'QUANTIFY'
named entity 'CLINICAL MANIFESTATIONS'
named entity 'DENGUE'
named entity 'HIGHLY SENSITIVE'
named entity 'SEROTYPE'
named entity 'RESULT'
named entity 'INFLUENZA VIRUSES'
named entity '2015'
named entity 'DENV-2'
named entity 'POSITIVE'
named entity 'COPIES'
named entity 'SEASONAL'
named entity 'FLAVIVIRUSES'
named entity 'MELTING TEMPERATURE'
named entity 'CASES'
named entity 'CLINICAL DIAGNOSIS'
covid:arg/3c64c6977d787ab930cc9af19a0de5f382863407
named entity 'SIGNIFICANCE'
named entity 'DENV-3'
named entity 'USED'
named entity 'HUMAN'
named entity 'OUR'
named entity 'INCLUDED'
named entity 'ARBOVIRUS'
named entity 'STUDY'
named entity 'PANEL'
named entity 'SYBR GREEN'
named entity 'ALPHAVIRUSES'
named entity 'THESE'
named entity 'CHIKUNGUNYA'
named entity 'GLOBAL HEALTH'
named entity 'ACCURATE'
named entity 'VIRUSES'
named entity 'FINDINGS'
named entity 'DIFFERENTIATE'
named entity 'DETECTION'
named entity 'USING'
named entity 'SIMULTANEOUS'
named entity 'DETECTION'
named entity 'VIRUSES'
named entity 'DEVELOPMENT'
named entity 'SIMULTANEOUS'
named entity 'STEP'
named entity 'INFECTIONS'
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