Literature DB >> 32070562

Droplet digital PCR enabled by microfluidic impact printing for absolute gene quantification.

Yang Pan1, Tuo Ma1, Qi Meng1, Yuxin Mao1, Kaiqin Chu1, Yongfan Men2, Tingrui Pan3, Baoqing Li4, Jiaru Chu1.   

Abstract

Digital PCR enabled high-sensitivity and quantitative measurements of rare biological variants. A new digital droplet-enabled PCR technology was introduced in this paper, which partitioned genetic targets into a planar nanoliter droplet array by using a microfluidic impact printer (MIP) with a disposable microfluidic chip. The accuracy of this MIP-enabled PCR technology was verified by detecting a series of concentration gradients of GAPDH gene across spanning four orders of magnitude (from 0.464 copies/μL to 464 copies/μL). Furthermore, this technology was applied to detect the expressions of p53 gene in colon cancer tissues and adjacent nontumorous tissues, from which the copies of the nucleic acids could be absolute-quantitatively determined. The outcomes were consistent with the results of using the conventional real-time PCR, demonstrating a great potential of the MIP-enabled digital PCR in detecting gene expression in clinical samples.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Digital PCR; Genetic analyses; Microfluidic impact printing

Year:  2019        PMID: 32070562     DOI: 10.1016/j.talanta.2019.120680

Source DB:  PubMed          Journal:  Talanta        ISSN: 0039-9140            Impact factor:   6.057


  3 in total

1.  Deep-dLAMP: Deep Learning-Enabled Polydisperse Emulsion-Based Digital Loop-Mediated Isothermal Amplification.

Authors:  Linzhe Chen; Jingyi Ding; Hao Yuan; Chi Chen; Zida Li
Journal:  Adv Sci (Weinh)       Date:  2022-01-24       Impact factor: 16.806

2.  Image Segmentation and Quantification of Droplet dPCR Based on Thermal Bubble Printing Technology.

Authors:  Mingjie Zhu; Zilong Shan; Wei Ning; Xuanye Wu
Journal:  Sensors (Basel)       Date:  2022-09-23       Impact factor: 3.847

3.  Microfluidics for the rapid detection of Escherichia coli O157:H7 using antibody-coated microspheres.

Authors:  Bo Song; Jiayuan Yu; Yan Sun; Qiao Wang; Shengnan Xu; Yichen Jia; Shuying Lin; Yueying Zhang; Chen Wang; Yingbo Zhang; Xiaojie Zhang
Journal:  Bioengineered       Date:  2021-12       Impact factor: 3.269

  3 in total

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