Literature DB >> 22836582

Highly sensitive and quantitative detection of rare pathogens through agarose droplet microfluidic emulsion PCR at the single-cell level.

Zhi Zhu1, Wenhua Zhang, Xuefei Leng, Mingxia Zhang, Zhichao Guan, Jiangquan Lu, Chaoyong James Yang.   

Abstract

Genetic alternations can serve as highly specific biomarkers to distinguish fatal bacteria or cancer cells from their normal counterparts. However, these mutations normally exist in very rare amount in the presence of a large excess of non-mutated analogs. Taking the notorious pathogen E. coli O157:H7 as the target analyte, we have developed an agarose droplet-based microfluidic ePCR method for highly sensitive, specific and quantitative detection of rare pathogens in the high background of normal bacteria. Massively parallel singleplex and multiplex PCR at the single-cell level in agarose droplets have been successfully established. Moreover, we challenged the system with rare pathogen detection and realized the sensitive and quantitative analysis of a single E. coli O157:H7 cell in the high background of 100,000 excess normal K12 cells. For the first time, we demonstrated rare pathogen detection through agarose droplet microfluidic ePCR. Such a multiplex single-cell agarose droplet amplification method enables ultra-high throughput and multi-parameter genetic analysis of large population of cells at the single-cell level to uncover the stochastic variations in biological systems.

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Year:  2012        PMID: 22836582     DOI: 10.1039/c2lc40461c

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


  14 in total

1.  Two-dimensional arrays of cell-laden polymer hydrogel modules.

Authors:  Yihe Wang; Yunfeng Li; Héloïse Thérien-Aubin; Jennifer Ma; Peter W Zandstra; Eugenia Kumacheva
Journal:  Biomicrofluidics       Date:  2016-01-21       Impact factor: 2.800

Review 2.  Recent advances in the use of microfluidic technologies for single cell analysis.

Authors:  Travis W Murphy; Qiang Zhang; Lynette B Naler; Sai Ma; Chang Lu
Journal:  Analyst       Date:  2017-12-18       Impact factor: 4.616

Review 3.  Microfluidics-Based Organism Isolation from Whole Blood: An Emerging Tool for Bloodstream Infection Diagnosis.

Authors:  Alison Burklund; John X J Zhang
Journal:  Ann Biomed Eng       Date:  2019-04-12       Impact factor: 3.934

Review 4.  Finding a helix in a haystack: nucleic acid cytometry with droplet microfluidics.

Authors:  Iain C Clark; Adam R Abate
Journal:  Lab Chip       Date:  2017-06-13       Impact factor: 6.799

Review 5.  Scaling by shrinking: empowering single-cell 'omics' with microfluidic devices.

Authors:  Sanjay M Prakadan; Alex K Shalek; David A Weitz
Journal:  Nat Rev Genet       Date:  2017-04-10       Impact factor: 53.242

Review 6.  Hydrogels for Single-Cell Microgel Production: Recent Advances and Applications.

Authors:  B M Tiemeijer; J Tel
Journal:  Front Bioeng Biotechnol       Date:  2022-06-17

7.  A Fluorescence-Activated Single-Droplet Dispenser for High Accuracy Single-Droplet and Single-Cell Sorting and Dispensing.

Authors:  Yuling Qin; Li Wu; Jingang Wang; Rui Han; Jingyu Shen; Jiasi Wang; Shihan Xu; Amy L Paguirigan; Jordan L Smith; Jerald P Radich; Daniel T Chiu
Journal:  Anal Chem       Date:  2019-05-09       Impact factor: 6.986

8.  Rapid detection of single bacteria in unprocessed blood using Integrated Comprehensive Droplet Digital Detection.

Authors:  Dong-Ku Kang; M Monsur Ali; Kaixiang Zhang; Susan S Huang; Ellena Peterson; Michelle A Digman; Enrico Gratton; Weian Zhao
Journal:  Nat Commun       Date:  2014-11-13       Impact factor: 14.919

Review 9.  Enhanced single-cell encapsulation in microfluidic devices: From droplet generation to single-cell analysis.

Authors:  Si Da Ling; Yuhao Geng; An Chen; Yanan Du; Jianhong Xu
Journal:  Biomicrofluidics       Date:  2020-12-22       Impact factor: 2.800

10.  Microfluidic isolation of highly pure embryonic stem cells using feeder-separated co-culture system.

Authors:  Qiushui Chen; Jing Wu; Qichen Zhuang; Xuexia Lin; Jie Zhang; Jin-Ming Lin
Journal:  Sci Rep       Date:  2013       Impact factor: 4.379

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