Literature DB >> 23819473

High-throughput microfluidic single-cell digital polymerase chain reaction.

A K White1, K A Heyries, C Doolin, M Vaninsberghe, C L Hansen.   

Abstract

Here we present an integrated microfluidic device for the high-throughput digital polymerase chain reaction (dPCR) analysis of single cells. This device allows for the parallel processing of single cells and executes all steps of analysis, including cell capture, washing, lysis, reverse transcription, and dPCR analysis. The cDNA from each single cell is distributed into a dedicated dPCR array consisting of 1020 chambers, each having a volume of 25 pL, using surface-tension-based sample partitioning. The high density of this dPCR format (118,900 chambers/cm(2)) allows the analysis of 200 single cells per run, for a total of 204,000 PCR reactions using a device footprint of 10 cm(2). Experiments using RNA dilutions show this device achieves shot-noise-limited performance in quantifying single molecules, with a dynamic range of 10(4). We performed over 1200 single-cell measurements, demonstrating the use of this platform in the absolute quantification of both high- and low-abundance mRNA transcripts, as well as micro-RNAs that are not easily measured using alternative hybridization methods. We further apply the specificity and sensitivity of single-cell dPCR to performing measurements of RNA editing events in single cells. High-throughput dPCR provides a new tool in the arsenal of single-cell analysis methods, with a unique combination of speed, precision, sensitivity, and specificity. We anticipate this approach will enable new studies where high-performance single-cell measurements are essential, including the analysis of transcriptional noise, allelic imbalance, and RNA processing.

Mesh:

Substances:

Year:  2013        PMID: 23819473     DOI: 10.1021/ac400896j

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  31 in total

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Authors:  Kara Brower; Adam K White; Polly M Fordyce
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2.  An open-pattern droplet-in-oil planar array for single cell analysis based on sequential inkjet printing technology.

Authors:  Chenyu Wang; Wenwen Liu; Manqing Tan; Hongbo Sun; Yude Yu
Journal:  Biomicrofluidics       Date:  2017-07-20       Impact factor: 2.800

3.  Single cell digital polymerase chain reaction on self-priming compartmentalization chip.

Authors:  Qiangyuan Zhu; Lin Qiu; Yanan Xu; Guang Li; Ying Mu
Journal:  Biomicrofluidics       Date:  2017-01-31       Impact factor: 2.800

Review 4.  Microfluidics: reframing biological enquiry.

Authors:  Todd A Duncombe; Augusto M Tentori; Amy E Herr
Journal:  Nat Rev Mol Cell Biol       Date:  2015-09       Impact factor: 94.444

Review 5.  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

6.  Self-digitization chip for quantitative detection of human papillomavirus gene using digital LAMP.

Authors:  Jason E Kreutz; Jiasi Wang; Allison M Sheen; Alison M Thompson; Jeannette P Staheli; Michael R Dyen; Qinghua Feng; Daniel T Chiu
Journal:  Lab Chip       Date:  2019-03-13       Impact factor: 6.799

7.  Digital PCR using micropatterned superporous absorbent array chips.

Authors:  Yazhen Wang; Kristopher M Southard; Yong Zeng
Journal:  Analyst       Date:  2016-03-24       Impact factor: 4.616

8.  Improving single-cell transcriptome sequencing efficiency with a microfluidic phase-switch device.

Authors:  Baoyue Zhang; Hong Xu; Yuqing Huang; Weiliang Shu; Hongtao Feng; Jin Cai; Jiang F Zhong; Yan Chen
Journal:  Analyst       Date:  2019-12-02       Impact factor: 4.616

9.  A microfluidic alternating-pull-push active digitization method for sample-loss-free digital PCR.

Authors:  Xin Zhou; Gopi Chandran Ravichandran; Peng Zhang; Yang Yang; Yong Zeng
Journal:  Lab Chip       Date:  2019-11-13       Impact factor: 6.799

10.  A Self-Digitization Dielectrophoretic (SD-DEP) Chip for High-Efficiency Single-Cell Capture, On-Demand Compartmentalization, and Downstream Nucleic Acid Analysis.

Authors:  Yuling Qin; Li Wu; Thomas Schneider; Gloria S Yen; Jiasi Wang; Shihan Xu; Min Li; Amy L Paguirigan; Jordan L Smith; Jerald P Radich; Robbyn K Anand; Daniel T Chiu
Journal:  Angew Chem Int Ed Engl       Date:  2018-07-27       Impact factor: 15.336

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