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 journalArticlepeer-review

13 Citations (Scopus)
96 Downloads (Pure)


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.
Original languageEnglish
Pages (from-to)137-147
Number of pages11
Publication statusPublished - 25 Oct 2019

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.


  • Biotechnology
  • Cell
  • Nanomaterials
  • Sensor


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