Projects per year
Abstract
Cell communication is primarily regulated by secreted proteins, whose inhomogeneous secretion often indicates physiological disorder. Parallel monitoring of innate protein-secretion kinetics from individual cells is thus crucial to unravel systemic malfunctions. Here, we report a label-free, high-throughput method for parallel, in vitro, and real-time analysis of specific single-cell signaling using hyperspectral photonic crystal resonant technology. Heterogeneity in physiological thrombopoietin expression from individual HepG2 liver cells in response to platelet desialylation was quantified demonstrating how mapping real-time protein secretion can provide a simple, yet powerful approach for studying complex physiological systems regulating protein production at single-cell resolution.
Original language | English |
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Pages (from-to) | 13204-13209 |
Number of pages | 6 |
Journal | Proceedings of the National Academy of Sciences of the United States of America |
Volume | 115 |
Issue number | 52 |
Early online date | 10 Dec 2018 |
DOIs | |
Publication status | Published - 26 Dec 2018 |
Bibliographical note
© 2018, The Author(s).Keywords
- Label-free
- Photonic biosensing
- Photonic crystal
- Single-cell analysis
Profiles
Projects
- 2 Finished
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Resonant and shaped photonics for understanding the physical and biomedical world
Krauss, T. F. & Johnson, S. D.
1/08/17 → 31/12/22
Project: Research project (funded) › Research
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Biophysics of Infection and Immunity: from Molecules to Cells to Tissues
Coles, M. C., Baumann, C. G., Bees, M. A., Johnson, S. D., Kaye, P., Krauss, T. F., Leake, M. C., O'Toole, P. J., Potts, J. R., Rot, A. & Van Der Woude, M.
1/02/16 → 28/02/19
Project: Research project (funded) › Research
Datasets
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Quantifying single cell secretion in real time using resonant hyperspectral imaging
Juan-Colas, J. (Creator), Hitchcock, I. S. (Creator), Coles, M. C. (Creator), Johnson, S. D. (Creator) & Krauss, T. F. (Creator), University of York, 2018
DOI: 10.15124/dffb9f91-cd1e-490e-8813-da88da18f16b
Dataset