Literature DB >> 34190300

Multiplex amplification of target genes of periodontal pathogens in continuous flow PCR microfluidic chip.

Zhenqing Li1, Jiahui Liu1, Ping Wang2, Chunxian Tao1, Lulu Zheng1, Shinichi Sekine3, Songlin Zhuang1, Dawei Zhang1, Yoshinori Yamaguchi4.   

Abstract

Porphyromonas gingivalis (P.g), Treponema denticola (T.d), and Tannerella forsythia (T.f) are believed to be the major periodontal pathogens that cause gingivitis, which affects 50-90% of adults worldwide. Microfluidic chips based on continuous flow PCR (CF-PCR) are an ideal alternative to a traditional thermal cycler, because it can effectively reduce the time needed for temperature transformation. Herein, we explored multi-PCR of P.g, T.d and T.f using a CF-PCR microfluidic chip for the first time. Through a series of experiments, we obtained two optimal combinations of primers that are suitable for performing multi-PCR on these three periodontal pathogens, with amplicon sizes of (197 bp, 316 bp, 226 bp) and (197 bp, 316 bp, 641 bp), respectively. The results also demonstrated that by using multi-PCR, the amplification time can be reduced to as short as 3'48'' for the short-sized amplicons, while for T.f (641 bp), the minimum time required was 8'25''. This work provides an effective way to simultaneously amplify the target genes of P.g, T.d and T.f within a short time, and may promote CF-PCR as a practical tool for point-of-care testing of gingivitis.

Entities:  

Year:  2021        PMID: 34190300     DOI: 10.1039/d1lc00457c

Source DB:  PubMed          Journal:  Lab Chip        ISSN: 1473-0189            Impact factor:   6.799


  2 in total

1.  A Cost-Effective Nucleic Acid Detection System Using a Portable Microscopic Device.

Authors:  Chengzhuang Yu; Shanshan Li; Chunyang Wei; Shijie Dai; Xinyi Liang; Junwei Li
Journal:  Micromachines (Basel)       Date:  2022-05-31       Impact factor: 3.523

2.  A Portable Continuous-Flow Polymerase Chain Reaction Chip Device Integrated with Arduino Boards for Detecting Colla corii asini.

Authors:  Shyang-Chwen Sheu; Yi-Syuan Song; Jyh-Jian Chen
Journal:  Micromachines (Basel)       Date:  2022-08-11       Impact factor: 3.523

  2 in total

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