Literature DB >> 22814625

An automated microfluidic device for assessment of mammalian cell genetic stability.

Yan Chen1, Baoyue Zhang, Hongtao Feng, Weiliang Shu, Gina Y Chen, Jiang F Zhong.   

Abstract

Single-cell transcriptome contains reliable gene regulatory relationships because gene-gene interactions only happen within a mammalian cell. While the study of gene-gene interactions enables us to understand the molecular mechanism of cellular events and evaluate molecular characteristics of a mammalian cell population, its complexity requires an analysis of a large number of single-cells at various stages. However, many existing microfluidic platforms cannot process single-cells effectively for routine molecular analysis. To address these challenges, we develop an integrated system with individual controller for effective single-cell transcriptome analysis. In this paper, we report an integrated microfluidic approach to rapidly measure gene expression in individual cells for genetic stability assessment of a cell population. Inside this integrated microfluidic device, the cells are individually manipulated and isolated in an array using micro sieve structures, then transferred into different nanoliter reaction chambers for parallel processing of single-cell transcriptome analysis. This device enables us to manipulate individual single-cells into nanoliter reactor with high recovery rate. We have performed gene expression analysis for a large number of HeLa cells and 293T cells expanded from a single-cell. Our data shows that even the house-keeping genes are expressed at heterogeneous levels within a clone of cells. The heterogeneity of actin expression reflects the genetic stability, and the expression distribution is different between cancer cells (HeLa) and immortalized 293T cells. The result demonstrates that this platform has the potential for assessment of genetic stability in cancer diagnosis.

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Year:  2012        PMID: 22814625      PMCID: PMC3447114          DOI: 10.1039/c2lc40437k

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


  19 in total

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3.  Gene expression profiling in single cells from the pancreatic islets of Langerhans reveals lognormal distribution of mRNA levels.

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4.  Microfluidic single-cell mRNA isolation and analysis.

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Journal:  Anal Chem       Date:  2006-05-01       Impact factor: 6.986

5.  Dynamic single cell culture array.

Authors:  Dino Di Carlo; Liz Y Wu; Luke P Lee
Journal:  Lab Chip       Date:  2006-09-04       Impact factor: 6.799

6.  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

7.  Integrating whole transcriptome assays on a lab-on-a-chip for single cell gene profiling.

Authors:  N Bontoux; L Dauphinot; T Vitalis; V Studer; Y Chen; J Rossier; M-C Potier
Journal:  Lab Chip       Date:  2008-01-31       Impact factor: 6.799

8.  Age-related changes in neuronal RNA content in rhesus monkeys (Macaca mulatta).

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Journal:  Brain Res Bull       Date:  1980 Mar-Apr       Impact factor: 4.077

9.  High-density microfluidic arrays for cell cytotoxicity analysis.

Authors:  Zhanhui Wang; Min-Cheol Kim; Manuel Marquez; Todd Thorsen
Journal:  Lab Chip       Date:  2007-04-04       Impact factor: 6.799

10.  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

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  4 in total

1.  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

2.  Single-Cell Digital Lysates Generated by Phase-Switch Microfluidic Device Reveal Transcriptome Perturbation of Cell Cycle.

Authors:  Yan Chen; Joshua Millstein; Yao Liu; Gina Y Chen; Xuelian Chen; Andres Stucky; Cunye Qu; Jian-Bing Fan; Xiao Chang; Ava Soleimany; Kai Wang; Jiangjian Zhong; Jie Liu; Frank D Gilliland; Zhongjun Li; Xi Zhang; Jiang F Zhong
Journal:  ACS Nano       Date:  2018-04-18       Impact factor: 15.881

Review 3.  Single-cell genomic analysis of head and neck squamous cell carcinoma.

Authors:  Andres Stucky; Parish P Sedghizadeh; Susan Mahabady; Xuelian Chen; Cheng Zhang; Gang Zhang; Xi Zhang; Jiang F Zhong
Journal:  Oncotarget       Date:  2017-05-19

4.  Investigating evolutionary perspective of carcinogenesis with single-cell transcriptome analysis.

Authors:  Xi Zhang; Cheng Zhang; Zhongjun Li; Jiangjian Zhong; Leslie P Weiner; Jiang F Zhong
Journal:  Chin J Cancer       Date:  2013-05-27
  4 in total

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