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Microfluidic Methods in Single Cell Biology

Mukherjee, Arnab and Schroeder, Charles M. (2016) Microfluidic Methods in Single Cell Biology. In: Microfluidic Methods for Molecular Biology. Springer , Cham, Switzerland, pp. 19-54. ISBN 978-3-319-30017-7.

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Stochastic variations within seemingly homogeneous cell populations determine the emergent properties of complex cellular systems such as biofilms, tumors, pluripotent stem cells, and multispecies ecosystems. The advent of microfluidic technologies, coupled with rapid advances in fluorescence-based molecular imaging and genomic, transcriptomic, and proteomic profiling techniques, has spurred a revolution in biological analysis at the level of single cells. Over the past decade, several microfluidic platforms have been developed that enable the isolation, enrichment, and biochemical or genetic analysis of individual cells with high spatiotemporal resolution in a fashion that is not achievable using macroscale methods. In sharp contrast to population-averaged measurements based on bulk-level techniques, microfluidic cell culture platforms permit the acquisition of multiparametric and high-content information while preserving the identity and monitoring the behavior of individual cells over time. In this way, microfluidics has ushered in new frontiers in single cell biology with a direct impact on applied and foundational studies in microbial ecology, systems biology, therapeutics development, and clinical diagnostics. In this chapter, we describe the transformative impact of microfluidics in single cell biology with particular emphasis on the following areas: (1) microfluidic bioreactors for cellular analysis in dynamically changing microenvironments, (2) microfluidic chips for in vitro drug screening, and (3) single cell confinement and isolation microchips for sorting and profiling rare or unculturable cells in complex environmental consortia.

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Mukherjee, Arnab0000-0002-6783-8225
Additional Information:© 2016 Springer International Publishing Switzerland. First Online: 15 May 2016.
Subject Keywords:Biological noise; Stochasticity; Laminar flow; Antibiotic resistance; Single cell genome amplification; Circulating tumor cells; Unculturable microbes; Time-lapse fluorescent microscopy
Record Number:CaltechAUTHORS:20170718-104935967
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Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:79153
Deposited By: Tony Diaz
Deposited On:18 Jul 2017 18:01
Last Modified:22 Nov 2019 21:25

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