Literature DB >> 31688860

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

Baoyue Zhang1, Hong Xu, Yuqing Huang, Weiliang Shu, Hongtao Feng, Jin Cai, Jiang F Zhong, Yan Chen.   

Abstract

In this paper, we present a novel method to improve the efficiency of single-cell transcriptome sequencing for analyzing valuable cell samples. The microfluidic device we designed integrates multiple single-cell isolation chambers with hydrodynamic traps and achieves a nearly 100% single-cell capture rate and minimal cell loss, making it particularly suitable for samples with limited numbers of cells. Single cells were encapsulated using a novel phase-switch method into picoliter-sized hydrogel droplets and easily recovered for subsequent reactions. Minimizing the reaction volume resulted in a high reverse transcription (RT) efficiency for RNA sequencing (RNA-Seq). With this novel microfluidic platform, we captured dozens of hESCs (H9) simultaneously and obtained live cells in individual picoliter volumes, thus allowing for the convenient construction of a high-quality library for deep single-cell RNA-Seq. Our single-cell RNA-Seq results confirmed that a spectrum of pluripotency existed within an H9 colony. This integrated microfluidic platform can be applied to various cell types for the investigation of rare cellular events, and the phase-switch single-cell processing strategy will improve the efficiency and accessibility of single-cell transcriptome sequencing analysis.

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Mesh:

Year:  2019        PMID: 31688860      PMCID: PMC6925944          DOI: 10.1039/c9an00823c

Source DB:  PubMed          Journal:  Analyst        ISSN: 0003-2654            Impact factor:   4.616


  40 in total

1.  A microfluidic processor for gene expression profiling of single human embryonic stem cells.

Authors:  Jiang F Zhong; Yan Chen; Joshua S Marcus; Axel Scherer; Stephen R Quake; Clive R Taylor; Leslie P Weiner
Journal:  Lab Chip       Date:  2007-11-02       Impact factor: 6.799

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

Authors:  A K White; K A Heyries; C Doolin; M Vaninsberghe; C L Hansen
Journal:  Anal Chem       Date:  2013-07-24       Impact factor: 6.986

3.  Highly Parallel Genome-wide Expression Profiling of Individual Cells Using Nanoliter Droplets.

Authors:  Evan Z Macosko; Anindita Basu; Rahul Satija; James Nemesh; Karthik Shekhar; Melissa Goldman; Itay Tirosh; Allison R Bialas; Nolan Kamitaki; Emily M Martersteck; John J Trombetta; David A Weitz; Joshua R Sanes; Alex K Shalek; Aviv Regev; Steven A McCarroll
Journal:  Cell       Date:  2015-05-21       Impact factor: 41.582

4.  Hydrogel droplet single-cell processing: DNA purification, handling, release, and on-chip linearization.

Authors:  Philip Zimny; David Juncker; Walter Reisner
Journal:  Biomicrofluidics       Date:  2018-03-14       Impact factor: 2.800

5.  Evaluation of statistical methods for normalization and differential expression in mRNA-Seq experiments.

Authors:  James H Bullard; Elizabeth Purdom; Kasper D Hansen; Sandrine Dudoit
Journal:  BMC Bioinformatics       Date:  2010-02-18       Impact factor: 3.169

6.  Transcriptome characterization elucidates signaling networks that control human ES cell growth and differentiation.

Authors:  Ralph Brandenberger; Henry Wei; Sally Zhang; Shirley Lei; Jaji Murage; Gregory J Fisk; Yan Li; Chunhui Xu; Rixun Fang; Karl Guegler; Mahendra S Rao; Ramumkar Mandalam; Jane Lebkowski; Lawrence W Stanton
Journal:  Nat Biotechnol       Date:  2004-05-16       Impact factor: 54.908

Review 7.  Molecular characterization of heterogeneous mesenchymal stem cells with single-cell transcriptomes.

Authors:  Zhongjun Li; Chao Zhang; Leslie P Weiner; Yiqiang Zhang; Jiang F Zhong
Journal:  Biotechnol Adv       Date:  2012-12-21       Impact factor: 14.227

8.  Quantitative assessment of single-cell RNA-sequencing methods.

Authors:  Angela R Wu; Norma F Neff; Tomer Kalisky; Piero Dalerba; Barbara Treutlein; Michael E Rothenberg; Francis M Mburu; Gary L Mantalas; Sopheak Sim; Michael F Clarke; Stephen R Quake
Journal:  Nat Methods       Date:  2013-10-20       Impact factor: 28.547

9.  Single-cell dissection of transcriptional heterogeneity in human colon tumors.

Authors:  Piero Dalerba; Tomer Kalisky; Debashis Sahoo; Pradeep S Rajendran; Michael E Rothenberg; Anne A Leyrat; Sopheak Sim; Jennifer Okamoto; Darius M Johnston; Dalong Qian; Maider Zabala; Janet Bueno; Norma F Neff; Jianbin Wang; Andrew A Shelton; Brendan Visser; Shigeo Hisamori; Yohei Shimono; Marc van de Wetering; Hans Clevers; Michael F Clarke; Stephen R Quake
Journal:  Nat Biotechnol       Date:  2011-11-13       Impact factor: 54.908

10.  Mutation Analysis of Cell-Free DNA and Single Circulating Tumor Cells in Metastatic Breast Cancer Patients with High Circulating Tumor Cell Counts.

Authors:  Jacqueline A Shaw; David S Guttery; Allison Hills; Daniel Fernandez-Garcia; Karen Page; Brenda M Rosales; Kate S Goddard; Robert K Hastings; Jinli Luo; Olivia Ogle; Laura Woodley; Simak Ali; Justin Stebbing; R Charles Coombes
Journal:  Clin Cancer Res       Date:  2016-06-22       Impact factor: 12.531

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  3 in total

Review 1.  Microfluidic Compartmentalization Platforms for Single Cell Analysis.

Authors:  Xuhao Luo; Jui-Yi Chen; Marzieh Ataei; Abraham Lee
Journal:  Biosensors (Basel)       Date:  2022-01-21

Review 2.  Interfacing microfluidics with information-rich detection systems for cells, bioparticles, and molecules.

Authors:  Jared P Smithers; Mark A Hayes
Journal:  Anal Bioanal Chem       Date:  2022-04-07       Impact factor: 4.478

Review 3.  Methods and platforms for analysis of nucleic acids from single-cell based on microfluidics.

Authors:  Luyao Liu; Xiaobin Dong; Yunping Tu; Guijun Miao; Zhongping Zhang; Lulu Zhang; Zewen Wei; Duli Yu; Xianbo Qiu
Journal:  Microfluid Nanofluidics       Date:  2021-09-22       Impact factor: 2.529

  3 in total

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