iScience (Oct 2019)

A Nanoparticle-Based Affinity Sensor that Identifies and Selects Highly Cytokine-Secreting Cells

  • Guozhen Liu,
  • Christina 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

Journal volume & issue
Vol. 20
pp. 137 – 147

Abstract

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Summary: 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. : Sensor; Biotechnology; Cell; Nanomaterials Subject Areas: Sensor, Biotechnology, Cell, Nanomaterials