Wenhua Zhou

Dr. Wenhua Zhou


Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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27 November 2018 in Nature Communications
Verified
Journal Article
Open access
PDF file
WZWenhua Zhou
Wenhua Zhou
LHLi Hu
Li Hu
LYLiming Ying
Liming Ying
ZZZhen Zhao
Zhen Zhao
PCPaul Chu
Paul Chu
Xue-Feng YuXue-Feng Yu
Xue-Feng Yu
Although polymerase chain reaction (PCR) is the most widely used method for DNA amplification, the requirement of thermocycling limits its non-laboratory applications. Isothermal DNA amplification techniques are hence valuable for on-site diagnostic applications in place of traditional PCR. Here we describe a true isothermal approach for amplifying and detecting double-stranded DNA based on a CRISPR–Cas9-triggered nicking endonuclease-mediated Strand Displacement Amplification method (namely CRISDA). CRISDA takes advantage of the high sensitivity/specificity and unique conformational rearrangements of CRISPR effectors in recognizing the target DNA. In combination with a peptide nucleic acid (PNA) invasion-mediated endpoint measurement, the method exhibits attomolar sensitivity and single-nucleotide specificity in detection of various DNA targets under a complex sample background. Additionally, by integrating the technique with a Cas9-mediated target enrichment approach, CRISDA exhibits sub-attomolar sensitivity. In summary, CRISDA is a powerful isothermal tool for ultrasensitive and specific detection of nucleic acids in point-of-care diagnostics and field analyses.

13 July 2018 in Angewandte Chemie International Edition
Verified
Journal Article
Closed access
PDF file
WZWenhua Zhou
Wenhua Zhou
HCHaodong Cui
Haodong Cui
LYLiming Ying
Liming Ying
Xue-Feng YuXue-Feng Yu
Xue-Feng Yu

27 February 2020 in bioRxiv
Verified
Preprint
Open access
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ZZZhen Zhao
Zhen Zhao
HCHaodong Cui
Haodong Cui
WSWenxing Song
Wenxing Song
XRXiaoling Ru
Xiaoling Ru
WZWenhua Zhou
Wenhua Zhou
Xue-Feng YuXue-Feng Yu
Xue-Feng Yu
1 The ongoing outbreak of the novel coronavirus disease 2019 (COVID-19) originating from Wuhan, China, draws worldwide concerns due to its long incubation period and strong infectivity. Although RT-PCR-based molecular diagnosis techniques are being widely applied for clinical diagnosis currently, timely and accurate diagnosis are still limited due to labour intensive and time-consuming operations of these techniques. To address the issue, herein we report the synthesis of poly (amino ester) with carboxyl groups (PC)-coated magnetic nanoparticles (pcMNPs), and the development of pcMNPs-based viral RNA extraction method for the sensitive detection of COVID-19 causing virus, the SARS-CoV-2. This method combines the lysis and binding steps into one step, and the pcMNPs-RNA complexes can be directly introduced into subsequent RT-PCR reactions. The simplified process can purify viral RNA from multiple samples within 20 min using a simple manual method or an automated high-throughput approach. By identifying two different regions ( ORFlab and N gene) of viral RNA, a 10-copy sensitivity and a strong linear correlation between 10 and 10 5 copies of SARS-CoV-2 pseudovirus particles are achieved. Benefitting from the simplicity and excellent performances, this new extraction method can dramatically reduce the turn-around time and operational requirements in current molecular diagnosis of COVID-19, in particular for the early clinical diagnosis.

12 March 2021 in Chemical Society Reviews
Verified
Journal Article
Open access
PDF file
LYLinlin Yao
Linlin Yao
WZWenting Zhu
Wenting Zhu
JSJianbo Shi
Jianbo Shi
Tailin XuTailin Xu
Tailin Xu
GQGuangbo Qu
Guangbo Qu
GJGuibin Jiang
Guibin Jiang
A schematic illustration of the environmental transmission of novel coronavirus (SARS-CoV-2 as an example) under different scenarios during the COVID-19 pandemic.

16 July 2020 in Advanced Functional Materials
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Journal Article
Closed access
PDF file
TPTing Pan
Ting Pan
WFWen Fu
Wen Fu
Hongbao XinHongbao Xin
Hongbao Xin
SGShengyong Geng
Shengyong Geng
ZLZhibin Li
Zhibin Li
Xue-Feng YuXue-Feng Yu
Xue-Feng Yu

1 October 2020 in Biosensors and Bioelectronics
Verified
Journal Article
Closed access
CHChi Huang
Chi Huang
SHShushu Hu
Shushu Hu
XZXue Zhang
Xue Zhang
HCHaodong Cui
Haodong Cui
LWLie Wu
Lie Wu
Xue-Feng YuXue-Feng Yu
Xue-Feng Yu