Literature DB >> 15253648

Dynamic gene expression profiling using a microfabricated living cell array.

Deanna M Thompson1, Kevin R King, Kenneth J Wieder, Mehmet Toner, Martin L Yarmush, Arul Jayaraman.   

Abstract

We describe the development of a microfluidic platform for continuous monitoring of gene expression in live cells. This optically transparent microfluidic device integrates high-throughput molecular stimulation with nondestructive monitoring of expression events in individual living cells, hence, a living cell array (LCA). Several concentrations of a soluble molecular stimulus are generated in an upstream microfluidic network and used to stimulate downstream reporter cells, each containing a green fluorescence reporter plasmid for a gene of interest. Cellular fluorescence is continuously monitored and quantified to infer the expression dynamics of the gene being studied. We demonstrate this approach by profiling the activation of the transcription factor NF-kappaB in HeLa S3 cells in response to varying doses of the inflammatory cytokine TNF-alpha. The LCA platform offers a unique opportunity to simultaneously control dynamic inputs and measure dynamic outputs from adherent mammalian cells in a high-throughput fashion. This approach to profiling expression dynamics, in conjunction with complementary techniques such as DNA microarrays, will help provide a more complete picture of the dynamic cellular response to diverse soluble stimuli.

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Year:  2004        PMID: 15253648     DOI: 10.1021/ac0354241

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


  35 in total

1.  High-throughput study of alpha-synuclein expression in yeast using microfluidics for control of local cellular microenvironment.

Authors:  Patrícia Rosa; Sandra Tenreiro; Virginia Chu; Tiago F Outeiro; João Pedro Conde
Journal:  Biomicrofluidics       Date:  2012-02-09       Impact factor: 2.800

2.  Engineering tissue with BioMEMS.

Authors:  Jeffrey T Borenstein; Gordana Vunjak-Novakovic
Journal:  IEEE Pulse       Date:  2011-11       Impact factor: 0.924

3.  Investigation of bacterial chemotaxis in flow-based microfluidic devices.

Authors:  Derek L Englert; Michael D Manson; Arul Jayaraman
Journal:  Nat Protoc       Date:  2010-04-15       Impact factor: 13.491

Review 4.  Translational potential of systems-based models of inflammation.

Authors:  P T Foteinou; S E Calvano; S F Lowry; I P Androulakis
Journal:  Clin Transl Sci       Date:  2009-02       Impact factor: 4.689

5.  A high-throughput microfluidic real-time gene expression living cell array.

Authors:  Kevin R King; Sihong Wang; Daniel Irimia; Arul Jayaraman; Mehmet Toner; Martin L Yarmush
Journal:  Lab Chip       Date:  2006-09-29       Impact factor: 6.799

6.  A novel non-overlapping bi-clustering algorithm for network generation using living cell array data.

Authors:  E Yang; P T Foteinou; K R King; M L Yarmush; I P Androulakis
Journal:  Bioinformatics       Date:  2007-09-07       Impact factor: 6.937

7.  Analysis of time-series gene expression data: methods, challenges, and opportunities.

Authors:  I P Androulakis; E Yang; R R Almon
Journal:  Annu Rev Biomed Eng       Date:  2007       Impact factor: 9.590

8.  Microfluidic System for Automated Cell-based Assays.

Authors:  Philip J Lee; Navid Ghorashian; Terry A Gaige; Paul J Hung
Journal:  JALA Charlottesv Va       Date:  2007-12

9.  Microfluidic device for automated synchronization of bacterial cells.

Authors:  Seth M Madren; Michelle D Hoffman; Pamela J B Brown; David T Kysela; Yves V Brun; Stephen C Jacobson
Journal:  Anal Chem       Date:  2012-10-03       Impact factor: 6.986

10.  Transcription factor network reconstruction using the living cell array.

Authors:  Eric Yang; Martin L Yarmush; Ioannis P Androulakis
Journal:  J Theor Biol       Date:  2008-10-22       Impact factor: 2.691

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