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Monitoring real-time hormone release kinetics via high-content 3-D imaging of compensatory endocytosis

Tarasov, Andrei I; Galvanovskis, Juris LU ; Rorsman, Olof; Hamilton, Alexander LU ; Vergari, Elisa; Johnson, Paul R V; Reimann, Frank; Ashcroft, Frances M and Rorsman, Patrik LU (2018) In Lab on a Chip 18(18). p.2838-2848
Abstract

High-content real-time imaging of hormone secretion in tissues or cell populations is a challenging task, which is unlikely to be resolved directly, despite immense translational value. We approach this problem indirectly, using compensatory endocytosis, a process that closely follows exocytosis in the cell, as a surrogate read-out for secretion. The tissue is immobilized in an open-air perifusion chamber and imaged using a two-photon microscope. A fluorescent polar tracer, perifused through the experimental circuit, gets trapped into the cells via endocytosis, and is quantified using a feature-detection algorithm. The signal of the tracer that accumulates into the endocytotic system reliably reflects stimulated exocytosis, which is... (More)

High-content real-time imaging of hormone secretion in tissues or cell populations is a challenging task, which is unlikely to be resolved directly, despite immense translational value. We approach this problem indirectly, using compensatory endocytosis, a process that closely follows exocytosis in the cell, as a surrogate read-out for secretion. The tissue is immobilized in an open-air perifusion chamber and imaged using a two-photon microscope. A fluorescent polar tracer, perifused through the experimental circuit, gets trapped into the cells via endocytosis, and is quantified using a feature-detection algorithm. The signal of the tracer that accumulates into the endocytotic system reliably reflects stimulated exocytosis, which is demonstrated via co-imaging of the latter using existing reporters. A high signal-to-noise ratio and compatibility with multisensor imaging affords the real-time quantification of the secretion at the tissue/population level, whereas the cumulative nature of the signal allows imprinting of the "secretory history" within each cell. The technology works for several cell types, reflects disease progression and can be used for human tissue.

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Please use this url to cite or link to this publication:
author
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Animals, Endocytosis, Hormones/metabolism, Humans, Imaging, Three-Dimensional, Insulin/metabolism, Insulin-Secreting Cells/cytology, Kinetics, Mice, Neurons/cytology, Perfusion
in
Lab on a Chip
volume
18
issue
18
pages
11 pages
publisher
Royal Society of Chemistry
external identifiers
  • scopus:85053623606
ISSN
1473-0189
DOI
10.1039/c8lc00417j
language
English
LU publication?
no
id
69117807-3dd2-46c9-a208-5f5373157a52
date added to LUP
2019-05-22 16:54:49
date last changed
2019-05-26 05:02:56
@article{69117807-3dd2-46c9-a208-5f5373157a52,
  abstract     = {<p>High-content real-time imaging of hormone secretion in tissues or cell populations is a challenging task, which is unlikely to be resolved directly, despite immense translational value. We approach this problem indirectly, using compensatory endocytosis, a process that closely follows exocytosis in the cell, as a surrogate read-out for secretion. The tissue is immobilized in an open-air perifusion chamber and imaged using a two-photon microscope. A fluorescent polar tracer, perifused through the experimental circuit, gets trapped into the cells via endocytosis, and is quantified using a feature-detection algorithm. The signal of the tracer that accumulates into the endocytotic system reliably reflects stimulated exocytosis, which is demonstrated via co-imaging of the latter using existing reporters. A high signal-to-noise ratio and compatibility with multisensor imaging affords the real-time quantification of the secretion at the tissue/population level, whereas the cumulative nature of the signal allows imprinting of the "secretory history" within each cell. The technology works for several cell types, reflects disease progression and can be used for human tissue.</p>},
  author       = {Tarasov, Andrei I and Galvanovskis, Juris and Rorsman, Olof and Hamilton, Alexander and Vergari, Elisa and Johnson, Paul R V and Reimann, Frank and Ashcroft, Frances M and Rorsman, Patrik},
  issn         = {1473-0189},
  keyword      = {Animals,Endocytosis,Hormones/metabolism,Humans,Imaging, Three-Dimensional,Insulin/metabolism,Insulin-Secreting Cells/cytology,Kinetics,Mice,Neurons/cytology,Perfusion},
  language     = {eng},
  month        = {09},
  number       = {18},
  pages        = {2838--2848},
  publisher    = {Royal Society of Chemistry},
  series       = {Lab on a Chip},
  title        = {Monitoring real-time hormone release kinetics via high-content 3-D imaging of compensatory endocytosis},
  url          = {http://dx.doi.org/10.1039/c8lc00417j},
  volume       = {18},
  year         = {2018},
}