| Title |
Development of a reverse transcription quantitative polymerase chain reaction-based assay for broad coverage detection of African and Asian Zika virus lineages
|
|---|---|
| Published in |
Virologica Sinica, May 2017
|
| DOI | 10.1007/s12250-017-3958-y |
| Pubmed ID | |
| Authors |
Yang Yang, Gary Wong, Baoguo Ye, Shihua Li, Shanqin Li, Haixia Zheng, Qiang Wang, Mifang Liang, George F. Gao, Lei Liu, Yingxia Liu, Yuhai Bi |
| Abstract |
The Zika virus (ZIKV) is an arbovirus that has spread rapidly worldwide within recent times. There is accumulating evidence that associates ZIKV infections with Guillain-Barré Syndrome (GBS) and microcephaly in humans. The ZIKV is genetically diverse and can be separated into Asian and African lineages. A rapid, sensitive, and specific assay is needed for the detection of ZIKV across various pandemic regions. So far, the available primers and probes do not cover the genetic diversity and geographic distribution of all ZIKV strains. To this end, we have developed a one-step quantitative reverse transcription polymerase chain reaction (qRT-PCR) assay based on conserved sequences in the ZIKV envelope (E) gene. The detection limit of the assay was determined to be five RNA transcript copies and 2.94 × 10(-3) 50% tissue culture infectious doses (TCID50) of live ZIKV per reaction. The assay was highly specific and able to detect five different ZIKV strains covering the Asian and African lineages without nonspecific amplification, when tested against other flaviviruses. The assay was also successful in testing for ZIKV in clinical samples. Our assay represents an improvement over the current methods available for the detection ZIKV and would be valuable as a diagnostic tool in various pandemic regions. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 57 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 18 | 32% |
| Student > Bachelor | 7 | 12% |
| Researcher | 6 | 11% |
| Other | 2 | 4% |
| Student > Postgraduate | 2 | 4% |
| Other | 7 | 12% |
| Unknown | 15 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Immunology and Microbiology | 8 | 14% |
| Medicine and Dentistry | 7 | 12% |
| Agricultural and Biological Sciences | 7 | 12% |
| Biochemistry, Genetics and Molecular Biology | 6 | 11% |
| Nursing and Health Professions | 3 | 5% |
| Other | 10 | 18% |
| Unknown | 16 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 May 2017.
All research outputs
#20,421,487
of 22,973,051 outputs
Outputs from Virologica Sinica
#437
of 577 outputs
Outputs of similar age
#272,295
of 312,881 outputs
Outputs of similar age from Virologica Sinica
#9
of 11 outputs
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