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A Nanoparticle-Based Affinity Sensor that Identifies and Selects Highly Cytokine-Secreting Cells
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...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6833483/ https://www.ncbi.nlm.nih.gov/pubmed/31569048 http://dx.doi.org/10.1016/j.isci.2019.09.019 |
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author | Liu, Guozhen Bursill, Christina 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. |
author_facet | Liu, Guozhen Bursill, Christina 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. |
author_sort | Liu, Guozhen |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6833483 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-68334832019-11-08 A Nanoparticle-Based Affinity Sensor that Identifies and Selects Highly Cytokine-Secreting Cells Liu, Guozhen Bursill, Christina 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. iScience Article 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. Elsevier 2019-09-17 /pmc/articles/PMC6833483/ /pubmed/31569048 http://dx.doi.org/10.1016/j.isci.2019.09.019 Text en © 2019 The Author(s) http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Liu, Guozhen Bursill, Christina 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 |
title | A Nanoparticle-Based Affinity Sensor that Identifies and Selects Highly Cytokine-Secreting Cells |
title_full | A Nanoparticle-Based Affinity Sensor that Identifies and Selects Highly Cytokine-Secreting Cells |
title_fullStr | A Nanoparticle-Based Affinity Sensor that Identifies and Selects Highly Cytokine-Secreting Cells |
title_full_unstemmed | A Nanoparticle-Based Affinity Sensor that Identifies and Selects Highly Cytokine-Secreting Cells |
title_short | A Nanoparticle-Based Affinity Sensor that Identifies and Selects Highly Cytokine-Secreting Cells |
title_sort | nanoparticle-based affinity sensor that identifies and selects highly cytokine-secreting cells |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6833483/ https://www.ncbi.nlm.nih.gov/pubmed/31569048 http://dx.doi.org/10.1016/j.isci.2019.09.019 |
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