Literature DB >> 23885761

Ultrahigh-throughput Mammalian single-cell reverse-transcriptase polymerase chain reaction in microfluidic drops.

Dennis J Eastburn1, Adam Sciambi, Adam R Abate.   

Abstract

The behaviors of complex biological systems are often dictated by the properties of their heterogeneous and sometimes rare cellular constituents. Correspondingly, the analysis of individual cells from a heterogeneous population can reveal information not obtainable by ensemble measurements. Reverse-transcriptase polymerase chain reaction (RT-PCR) is a widely used method that enables transcriptional profiling and sequencing analysis on bulk populations of cells. Major barriers to successfully implementing this technique for mammalian single-cell studies are the labor, cost, and low-throughput associated with current approaches. In this report, we describe a novel droplet-based microfluidic system for performing ~50000 single-cell RT-PCR reactions in a single experiment while consuming a minimal amount of reagent. Using cell type-specific staining and TaqMan RT-PCR probes, we demonstrate the identification of specific cells from a mixed human cell population. The throughput, robust detection rate and specificity of this method makes it well-suited for characterizing large, heterogeneous populations of cells at the transcriptional level.

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Year:  2013        PMID: 23885761     DOI: 10.1021/ac402057q

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


  46 in total

Review 1.  Droplet microfluidics for high-sensitivity and high-throughput detection and screening of disease biomarkers.

Authors:  Aniruddha M Kaushik; Kuangwen Hsieh; Tza-Huei Wang
Journal:  Wiley Interdiscip Rev Nanomed Nanobiotechnol       Date:  2018-05-24

2.  Droplet barcoding for single-cell transcriptomics applied to embryonic stem cells.

Authors:  Allon M Klein; Linas Mazutis; Ilke Akartuna; Naren Tallapragada; Adrian Veres; Victor Li; Leonid Peshkin; David A Weitz; Marc W Kirschner
Journal:  Cell       Date:  2015-05-21       Impact factor: 41.582

3.  Compact and modular multicolour fluorescence detector for droplet microfluidics.

Authors:  Russell H Cole; Niek de Lange; Zev J Gartner; Adam R Abate
Journal:  Lab Chip       Date:  2015-06-02       Impact factor: 6.799

Review 4.  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

5.  Single cell kinase signaling assay using pinched flow coupled droplet microfluidics.

Authors:  Ramesh Ramji; Ming Wang; Ali Asgar S Bhagat; Daniel Tan Shao Weng; Nitish V Thakor; Chwee Teck Lim; Chia-Hung Chen
Journal:  Biomicrofluidics       Date:  2014-05-19       Impact factor: 2.800

6.  Multicolor Fluorescence Detection for Droplet Microfluidics Using Optical Fibers.

Authors:  Russell H Cole; Zev J Gartner; Adam R Abate
Journal:  J Vis Exp       Date:  2016-05-05       Impact factor: 1.355

7.  Single-Cell RT-PCR in Microfluidic Droplets with Integrated Chemical Lysis.

Authors:  Samuel C Kim; Iain C Clark; Payam Shahi; Adam R Abate
Journal:  Anal Chem       Date:  2018-01-03       Impact factor: 6.986

8.  Generating electric fields in PDMS microfluidic devices with salt water electrodes.

Authors:  Adam Sciambi; Adam R Abate
Journal:  Lab Chip       Date:  2014-03-27       Impact factor: 6.799

9.  A microfluidic approach to parallelized transcriptional profiling of single cells.

Authors:  Hao Sun; Timothy Olsen; Jing Zhu; Jianguo Tao; Brian Ponnaiya; Sally A Amundson; David J Brenner; Qiao Lin
Journal:  Microfluid Nanofluidics       Date:  2015-10-14       Impact factor: 2.529

10.  Immunoglobulin class-switched B cells form an active immune axis between CNS and periphery in multiple sclerosis.

Authors:  Arumugam Palanichamy; Leonard Apeltsin; Tracy C Kuo; Marina Sirota; Shengzhi Wang; Steven J Pitts; Purnima D Sundar; Dilduz Telman; Lora Z Zhao; Mia Derstine; Aya Abounasr; Stephen L Hauser; H-Christian von Büdingen
Journal:  Sci Transl Med       Date:  2014-08-06       Impact factor: 17.956

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