A high-throughput microfluidic real-time gene expression living cell array
- 29 September 2006
- journal article
- research article
- Published by Royal Society of Chemistry (RSC) in Lab on a Chip
- Vol. 7 (1), 77-85
- https://doi.org/10.1039/b612516f
Abstract
The dynamics of gene expression are fundamental to the coordination of cellular responses. Measurement of temporal gene expression patterns is currently limited to destructive low-throughput techniques such as northern blotting, reverse transcription polymerase chain reaction (RT-PCR), and DNA microarrays. We report a scalable experimental platform that combines microfluidic addressability with quantitative live cell imaging of fluorescent protein transcriptional reporters to achieve real-time characterization of gene expression programs in living cells. Integrated microvalve arrays control row-seeding and column-stimulation of 256 nanoliter-scale bioreactors to create a high density matrix of stimulus–response experiments. We demonstrate the approach in the context of hepatic inflammation by acquiring ∼5000 single-time-point measurements in each automated and unattended experiment. Experiments can be assembled in hours and perform the equivalent of months of conventional experiments. By enabling efficient investigation of dynamic gene expression programs, this technology has the potential to make significant impacts in basic science, drug development, and clinical medicine.Keywords
This publication has 66 references indexed in Scilit:
- Predicting Protein Complexes from PPI Data: A Core-Attachment ApproachJournal of Computational Biology, 2009
- Architectures and Functional Coverage of Protein–Protein InterfacesJournal of Molecular Biology, 2008
- Exploiting indirect neighbours and topological weight to predict protein function from protein–protein interactionsBioinformatics, 2006
- Global landscape of protein complexes in the yeast Saccharomyces cerevisiaeNature, 2006
- Proteome survey reveals modularity of the yeast cell machineryNature, 2006
- Core Transcriptional Regulatory Circuitry in Human Embryonic Stem CellsCell, 2005
- Comparative assessment of large-scale data sets of protein–protein interactionsNature, 2002
- Systematic identification of protein complexes in Saccharomyces cerevisiae by mass spectrometryNature, 2002
- Functional organization of the yeast proteome by systematic analysis of protein complexesNature, 2002
- A comprehensive two-hybrid analysis to explore the yeast protein interactomeProceedings of the National Academy of Sciences, 2001