Label-Free Optofluidic Nanobiosensor Enables Real-Time Analysis of Single-Cell Cytokine Secretion

Li, X, Soler, M, Szydzik, C, Khoshmanesh, K, Schmidt, J, Coukos, G, Mitchell, A and Altug, H 2018, 'Label-Free Optofluidic Nanobiosensor Enables Real-Time Analysis of Single-Cell Cytokine Secretion', Small, vol. 14, no. 26, pp. 1-11.

Document type: Journal Article
Collection: Journal Articles

Title Label-Free Optofluidic Nanobiosensor Enables Real-Time Analysis of Single-Cell Cytokine Secretion
Author(s) Li, X
Soler, M
Szydzik, C
Khoshmanesh, K
Schmidt, J
Coukos, G
Mitchell, A
Altug, H
Year 2018
Journal name Small
Volume number 14
Issue number 26
Start page 1
End page 11
Total pages 11
Publisher Wiley-VCH Verlag
Abstract Single-cell analysis of cytokine secretion is essential to understand the heterogeneity of cellular functionalities and develop novel therapies for multiple diseases. Unraveling the dynamic secretion process at single-cell resolution reveals the real-time functional status of individual cells. Fluorescent and colorimetric-based methodologies require tedious molecular labeling that brings inevitable interferences with cell integrity and compromises the temporal resolution. An innovative label-free optofluidic nanoplasmonic biosensor is introduced for single-cell analysis in real time. The nanobiosensor incorporates a novel design of a multifunctional microfluidic system with small volume microchamber and regulation channels for reliable monitoring of cytokine secretion from individual cells for hours. Different interleukin-2 secretion profiles are detected and distinguished from single lymphoma cells. The sensor configuration combined with optical spectroscopic imaging further allows us to determine the spatial single-cell secretion fingerprints in real time. This new biosensor system is anticipated to be a powerful tool to characterize single-cell signaling for basic and clinical research.
Subject Condensed Matter Physics not elsewhere classified
Keyword(s) cytokine detection
label-free biosensors
real-time single-cell analysis
DOI - identifier 10.1002/smll.201800698
Copyright notice © 2018 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim
ISSN 1613-6810
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 22 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 0 times in Scopus Article
Altmetric details:
Access Statistics: 23 Abstract Views  -  Detailed Statistics
Created: Thu, 23 May 2019, 08:44:00 EST by Catalyst Administrator
© 2014 RMIT Research Repository • Powered by Fez SoftwareContact us