Quantifying single-cell secretion in real time using resonant hyperspectral imaging
- Submitting institution
-
University of York
- Unit of assessment
- 12 - Engineering
- Output identifier
- 62715056
- Type
- D - Journal article
- DOI
-
10.1073/pnas.1814977115
- Title of journal
- Proceedings of the National Academy of Sciences of the United States of America
- Article number
- -
- First page
- 13204
- Volume
- 115
- Issue
- 52
- ISSN
- 0027-8424
- Open access status
- Compliant
- Month of publication
- December
- Year of publication
- 2018
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
4
- Research group(s)
-
B - Intelligent Systems and Nano-Science
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The behaviour and function of cells are coordinated by secreted molecules that pass between cells. This paper demonstrates photonic technology capable of mapping 3-D distributions (x, y, time) of cell-secreted molecules. In contrast to competing approaches, our technology can simultaneously quantify spatial distribution and rate of protein secretion at the single-cell level, providing new insight into the mechanisms, kinetics and heterogeneity of inter-cellular communication. The technology is being developed further (£1M Wellcome grant 221349/Z/20/Z) to address critical questions across fundamental and applied biomedicine, including vaccine and immunotherapy development, stem cell growth and development and wound healing.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -