Literature DB >> 16133809

Optimization of reporter cells for expression profiling in a microfluidic device.

Kenneth J Wieder1, Kevin R King, Deanna M Thompson, Cindy Zia, Martin L Yarmush, Arul Jayaraman.   

Abstract

The emergence of green fluorescence protein (GFP) technologies has enabled non-invasive monitoring of cell function and gene expression. GFP-based expression studies are typically performed in traditional single-dish or multi-well formats to monitor a small number of genes or conditions that do not lend well to scaling, high-throughput analysis, or single-cell measurements. We have recently developed a microfluidic device, the Living Cell Array (LCA), for monitoring GFP-based gene expression in a high-throughput manner. Here, we report the optimization of GFP reporter cell characteristics in this microfluidic device for gene expression profiling. A reporter cell line for the transcription factor NF-kappa B was generated and used as the model cell line. Reporter cells were seeded in the LCA and NF-kappa B activated by addition of the cytokine TNF-alpha . Our studies show that the fluorescence kinetics from the reporter cell line in response to both single and repeated TNF-alpha stimulation in the LCA is similar to that observed in standard tissue culture. In addition, our data also indicate that multiple expression waves can be reliably monitored from a small population of reporter cells. Using reporter cell line subcloning and cell cycle synchronization, we demonstrate that the kinetics and magnitude of induced fluorescence in the reporter cell lines can be further improved to maximize the fluorescence readout from reporter cell lines, thereby improving their applicability to live cell expression profiling. Our studies establish some of the important criteria to be considered when using reporter cell lines for dynamic expression profiling in microfluidic devices.

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Year:  2005        PMID: 16133809     DOI: 10.1007/s10544-005-3028-3

Source DB:  PubMed          Journal:  Biomed Microdevices        ISSN: 1387-2176            Impact factor:   2.838


  19 in total

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2.  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
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Journal:  Curr Biol       Date:  2017-07-14       Impact factor: 10.834

4.  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

5.  NETWORKS, BIOLOGY AND SYSTEMS ENGINEERING: A CASE STUDY IN INFLAMMATION.

Authors:  P T Foteinou; E Yang; I P Androulakis
Journal:  Comput Chem Eng       Date:  2009-12-10       Impact factor: 3.845

6.  Microengineered cell and tissue systems for drug screening and toxicology applications: Evolution of in-vitro liver technologies.

Authors:  O B Usta; W J McCarty; S Bale; M Hegde; R Jindal; A Bhushan; I Golberg; M L Yarmush
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7.  Lentiviral arrays for live-cell dynamic monitoring of gene and pathway activity during stem cell differentiation.

Authors:  Roshan M Padmashali; Panagiotis Mistriotis; Mao-shih Liang; Stelios T Andreadis
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8.  Tissue-engineered model for real-time monitoring of liver inflammation.

Authors:  Rohit Jindal; Suraj J Patel; Martin L Yarmush
Journal:  Tissue Eng Part C Methods       Date:  2010-09-28       Impact factor: 3.056

9.  Exposure to human immunodeficiency virus/hepatitis C virus in hepatic and stellate cell lines reveals cooperative profibrotic transcriptional activation between viruses and cell types.

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Journal:  Hepatology       Date:  2016-10-05       Impact factor: 17.425

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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