A Nanoparticle-based affinity sensor that identifies and selects highly cytokine-secreting cells

Guozhen Liu, Christina A. Bursill, Siân P. Cartland, Ayad G. Anwer, Lindsay m. Parker, Kaixin Zhang, Shilun Feng, Meng He, David W. Inglis, Mary M. Kavurma, Mark R. Hutchinson, Ewa M. Goldys

Research output: Contribution to journalArticleResearchpeer-review

Abstract

We developed a universal method termed OnCELISA to detect cytokine secretion from individual cells by applying a capture technology on the cell membrane. OnCELISA uses fluorescent magnetic nanoparticles as assay reporters that enable detection on a single-cell level in microscopy and flow cytometry and fluorimetry in cell ensembles. This system is flexible and can be modified to detect different cytokines from a broad range of cytokine-secreting cells. Using OnCELISA we have been able to select and sort highly cytokine-secreting cells and identify cytokine-secreting expression profiles of different cell populations in vitro and ex vivo. We show that this system can be used for ultrasensitive monitoring of cytokines in the complex biological environment of atherosclerosis that contains multiple cell types. The ability to identify and select cell populations based on their cytokine expression characteristics is valuable in a host of applications that require the monitoring of disease progression.
LanguageEnglish
Pages137-147
Number of pages11
JournaliScience
Volume20
DOIs
Publication statusPublished - 25 Oct 2019

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Nanoparticles
Cytokines
Fluorometry
Population
Disease Progression
Microscopy
Atherosclerosis
Flow Cytometry
Cell Membrane
Technology

Bibliographical note

Copyright 2019 The Authors. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

Keywords

  • Biotechnology
  • Cell
  • Nanomaterials
  • Sensor

Cite this

Liu, Guozhen ; Bursill, Christina A. ; Cartland, Siân P. ; Anwer, Ayad G. ; Parker, Lindsay m. ; Zhang, Kaixin ; Feng, Shilun ; He, Meng ; Inglis, David W. ; Kavurma, Mary M. ; Hutchinson, Mark R. ; Goldys, Ewa M. / A Nanoparticle-based affinity sensor that identifies and selects highly cytokine-secreting cells. In: iScience. 2019 ; Vol. 20. pp. 137-147.
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A Nanoparticle-based affinity sensor that identifies and selects highly cytokine-secreting cells. / Liu, Guozhen; Bursill, Christina A.; Cartland, Siân P.; Anwer, Ayad G.; Parker, Lindsay m.; Zhang, Kaixin; Feng, Shilun; He, Meng; Inglis, David W.; Kavurma, Mary M.; Hutchinson, Mark R.; Goldys, Ewa M.

In: iScience, Vol. 20, 25.10.2019, p. 137-147.

Research output: Contribution to journalArticleResearchpeer-review

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AU - Anwer, Ayad G.

AU - Parker, Lindsay m.

AU - Zhang, Kaixin

AU - Feng, Shilun

AU - He, Meng

AU - Inglis, David W.

AU - Kavurma, Mary M.

AU - Hutchinson, Mark R.

AU - Goldys, Ewa M.

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N2 - We developed a universal method termed OnCELISA to detect cytokine secretion from individual cells by applying a capture technology on the cell membrane. OnCELISA uses fluorescent magnetic nanoparticles as assay reporters that enable detection on a single-cell level in microscopy and flow cytometry and fluorimetry in cell ensembles. This system is flexible and can be modified to detect different cytokines from a broad range of cytokine-secreting cells. Using OnCELISA we have been able to select and sort highly cytokine-secreting cells and identify cytokine-secreting expression profiles of different cell populations in vitro and ex vivo. We show that this system can be used for ultrasensitive monitoring of cytokines in the complex biological environment of atherosclerosis that contains multiple cell types. The ability to identify and select cell populations based on their cytokine expression characteristics is valuable in a host of applications that require the monitoring of disease progression.

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