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  4. High-throughput measurement of single-cell growth rates using serial microfluidic mass sensor arrays

High-throughput measurement of single-cell growth rates using serial microfluidic mass sensor arrays

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Author(s)
Cermak, Nathan
•
Murakami, Mark
•
Ogawa, Masaaki
•
Agache, Vincent
•
Baléras, François
•
Weinstock, David M
•
Olcum, Selim A.
•
Delgado, Francisco Feijo
•
Wasserman, Steven
•
Knudsen, Scott
more
Date Issued
September 2016
Journal
Nature Biotechnology
Publisher
Nature Publishing Group
Citation
Cermak, Nathan et al. “High-Throughput Measurement of Single-Cell Growth Rates Using Serial Microfluidic Mass Sensor Arrays.” Nature Biotechnology 34, 10 (September 2016): 1052–1059
Version
Author's final manuscript
Abstract
Methods to rapidly assess cell growth would be useful for many applications, including drug susceptibility testing, but current technologies have limited sensitivity or throughput. Here we present an approach to precisely and rapidly measure growth rates of many individual cells simultaneously. We flow cells in suspension through a microfluidic channel with 10-12 resonant mass sensors distributed along its length, weighing each cell repeatedly over the 4-20 min it spends in the channel. Because multiple cells traverse the channel at the same time, we obtain growth rates for >60 cells/h with a resolution of 0.2 pg/h for mammalian cells and 0.02 pg/h for bacteria. We measure the growth of single lymphocytic cells, mouse and human T cells, primary human leukemia cells, yeast, Escherichia coli and Enterococcus faecalis. Our system reveals subpopulations of cells with divergent growth kinetics and enables assessment of cellular responses to antibiotics and antimicrobial peptides within minutes.
MIT Department
Massachusetts Institute of Technology. Department of Biological Engineering
Massachusetts Institute of Technology. Department of Biology
Massachusetts Institute of Technology. Department of Mechanical Engineering
Massachusetts Institute of Technology. Microsystems Technology Laboratories
Koch Institute for Integrative Cancer Research at MIT
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
http://creativecommons.org/licenses/by-nc-sa/4.0/
Persistent DSpace Link
http://hdl.handle.net/1721.1/117696
DOI of Published Version
https://doi.org/10.1038/NBT.3666
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