Your browser doesn't support javascript.
Establishment of a Rapid Typing Method for Coronavirus Disease 2019 Mutant Strains Based on PARMS Technology.
Gao, Lei; Zu, Xiangyang; Liu, Xiaohui; Yu, Zhangqing; Du, Zhe; Hu, Zhigang; Xue, Yun.
  • Gao L; Laboratory of Medical Engineering, College of Medical Technology and Engineering, Henan University of Science and Technology, Luoyang 471003, China.
  • Zu X; Laboratory of Medical Engineering, College of Medical Technology and Engineering, Henan University of Science and Technology, Luoyang 471003, China.
  • Liu X; Laboratory of Medical Engineering, College of Medical Technology and Engineering, Henan University of Science and Technology, Luoyang 471003, China.
  • Yu Z; Laboratory of Medical Engineering, College of Medical Technology and Engineering, Henan University of Science and Technology, Luoyang 471003, China.
  • Du Z; Laboratory of Medical Engineering, College of Medical Technology and Engineering, Henan University of Science and Technology, Luoyang 471003, China.
  • Hu Z; Laboratory of Medical Engineering, College of Medical Technology and Engineering, Henan University of Science and Technology, Luoyang 471003, China.
  • Xue Y; Laboratory of Medical Engineering, College of Medical Technology and Engineering, Henan University of Science and Technology, Luoyang 471003, China.
Micromachines (Basel) ; 13(2)2022 Jan 18.
Article in English | MEDLINE | ID: covidwho-1625202
ABSTRACT

Purpose:

This study aims to establish a competitive allele-specific PCR based on penta-primer amplification refractory mutation system (PARMS) technology to detect the key mutation sites of variant of concern (VOC) of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus for rapid typing.

Methods:

Competitive allele-specific primers and universal primers were designed for the key gene mutation sites N501Y, E484K, L452R, and K417N of SARS-CoV-2 VOCs, respectively.Using the principle of allele-specific polymerase chain reaction and fluorescence energy resonance transfer, different VOCs can be differentiated.

Results:

Using reverse transcribed cDNA of different VOCs as specimens, through double-blind detection, different VOC types can be effectively identified, with an accuracy rate of 100%. Through the identification and detection of different VOCs, effective differentiation can be achieved.

Conclusions:

The system has high specificity and sensitivity, with a detection limit of 1.28 copies/reaction.PARMS technology is fast, efficient, and low-cost. It is used for the identification and detection of the popular SARS-CoV-2 VOCs, which is helpful for the rapid and accurate prevention and control of COVID-19 epidemic.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Diagnostic study / Randomized controlled trials Topics: Variants Language: English Year: 2022 Document Type: Article Affiliation country: Mi13020145

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Type of study: Diagnostic study / Randomized controlled trials Topics: Variants Language: English Year: 2022 Document Type: Article Affiliation country: Mi13020145