Literature DB >> 18369765

Microfluidic devices for high-throughput gene expression profiling of single hESC-derived neural stem cells.

Yan Chen1, Jiang F Zhong.   

Abstract

Isolating pure stem cell populations is one of the major obstacles in stem cell gene expression profiling due to the lack of stem cell markers. Many results of gene expression profiling studies are difficult to interpret because of the heterogeneous cell populations used in these studies. Single-cell gene expression profiling is perhaps the most attractive gene expression profiling method for studying stem cell gene regulation, because isolating pure stem cell population is not needed. However, current single-cell gene expression profiling methods such as laser capture microdissection (LCM) and patch-clamp analysis lack the high-throughput ability in sample processing. For better understanding of the gene regulation networks during cellular events, a large number of gene expression profiles are required. Therefore, we developed inexpensive microfluidic devices for high-throughput single-cell gene expression profiling. With our devices, cDNA could be obtained from 50 individual cells within 3 hours. This approach can be applied to neural stem cells, and other cell types.

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Year:  2008        PMID: 18369765     DOI: 10.1007/978-1-59745-133-8_22

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  11 in total

1.  Stem cells in microfluidics.

Authors:  Huei-Wen Wu; Chun-Che Lin; Gwo-Bin Lee
Journal:  Biomicrofluidics       Date:  2011-03-30       Impact factor: 2.800

2.  Prototype for automatable, dielectrophoretically-accessed intracellular membrane-potential measurements by metal electrodes.

Authors:  Ulrich Terpitz; Vladimir L Sukhorukov; Dirk Zimmermann
Journal:  Assay Drug Dev Technol       Date:  2012-09-20       Impact factor: 1.738

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

Authors:  Yan Chen; Baoyue Zhang; Hongtao Feng; Weiliang Shu; Gina Y Chen; Jiang F Zhong
Journal:  Lab Chip       Date:  2012-10-21       Impact factor: 6.799

Review 4.  From the cellular perspective: exploring differences in the cellular baseline in macroscale and microfluidic cultures.

Authors:  Amy L Paguirigan; David J Beebe
Journal:  Integr Biol (Camb)       Date:  2009-01-08       Impact factor: 2.192

Review 5.  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

Review 6.  Microfluidic Organ/Body-on-a-Chip Devices at the Convergence of Biology and Microengineering.

Authors:  Ana Rubina Perestrelo; Ana C P Águas; Alberto Rainer; Giancarlo Forte
Journal:  Sensors (Basel)       Date:  2015-12-10       Impact factor: 3.576

7.  Epigenomic Reprogramming of Adult Cardiomyocyte-Derived Cardiac Progenitor Cells.

Authors:  Yiqiang Zhang; Jiang F Zhong; Hongyu Qiu; W Robb MacLellan; Eduardo Marbán; Charles Wang
Journal:  Sci Rep       Date:  2015-12-14       Impact factor: 4.379

8.  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

9.  Modeling bi-modality improves characterization of cell cycle on gene expression in single cells.

Authors:  Andrew McDavid; Lucas Dennis; Patrick Danaher; Greg Finak; Michael Krouse; Alice Wang; Philippa Webster; Joseph Beechem; Raphael Gottardo
Journal:  PLoS Comput Biol       Date:  2014-07-17       Impact factor: 4.475

10.  Single-cell transcriptome and epigenomic reprogramming of cardiomyocyte-derived cardiac progenitor cells.

Authors:  Xin Chen; Tushar Chakravarty; Yiqiang Zhang; Xiaojin Li; Jiang F Zhong; Charles Wang
Journal:  Sci Data       Date:  2016-09-13       Impact factor: 6.444

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