Rees, P, Wills, JW, Brown, MR et al. (8 more authors) (2014) Nanoparticle vesicle encoding for imaging and tracking cell populations. Nature Methods, 11. pp. 1177-1181. ISSN 1548-7091
Abstract
For phenotypic behavior to be understood in the context of cell lineage and local environment, properties of individual cells must be measured relative to population-wide traits. However, the inability to accurately identify, track and measure thousands of single cells via high-throughput microscopy has impeded dynamic studies of cell populations. We demonstrate unique labeling of cells, driven by the heterogeneous random uptake of fluorescent nanoparticles of different emission colors. By sequentially exposing a cell population to different particles, we generated a large number of unique digital codes, which corresponded to the cell-specific number of nanoparticle-loaded vesicles and were visible within a given fluorescence channel. When three colors are used, the assay can self-generate over 17,000 individual codes identifiable using a typical fluorescence microscope. The color-codes provided immediate visualization of cell identity and allowed us to track human cells with a success rate of 78% across image frames separated by 8 h.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2014 Nature America, Inc. All rights reserved. This is an author produced version of an article published in Nature Methods. Uploaded in accordance with the publisher's self-archiving policy. |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Chemical & Process Engineering (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 12 Nov 2014 10:10 |
Last Modified: | 02 Oct 2020 11:56 |
Published Version: | http://dx.doi.org/10.1038/nmeth.3105 |
Status: | Published |
Publisher: | Nature Publishing Group |
Identification Number: | 10.1038/nmeth.3105 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:81024 |