Hostname: page-component-586b7cd67f-dlnhk Total loading time: 0 Render date: 2024-11-23T01:21:29.711Z Has data issue: false hasContentIssue false
  • English
  • Français

Single Cell Interrogation using Optofluidic Platforms for Systems Immunology

Published online by Cambridge University Press:  10 May 2016

Serap Aksu
Serap Aksu*
Affiliation:
ETH Zurich Department of Biosystems Science and Engineering Mattenstrasse 26, 4058 Basel, CH.
*
*(Email: serap.aksu@bsse.ethz.ch)
Get access

Abstract

The main objective of this report is to demonstrate novel engineering technologies to investigate regulatory mechanisms of systems immunology in a time-dependent and high-throughput manner. Understanding of immune system behavior is crucial for accurate prognosis of infections and identification of diseases at early stage. An ultimate goal of biomedical engineering is to develop predictive models of immune system behavior in tissue, which necessitates a comprehensive map of dynamic (time-dependent) input-output relationships at the individual cell level. Traditionally, biochemical analysis on the cell signaling is obtained from bulky cell ensembles which average over relevant individual cell response. The response consists firstly of signaling protein (cytokine) secretions which are released during a disease state and which are used to activate the immune system to respond to the disease. We investigate the cytokine secretion dynamics of a single immune cell in response to the stimulant using automated and comprehensive optofluidic platforms. These platforms enable survival and manipulation of single cells in compartments having compatible sizes with cells as well as provide precise control over the type, dose and time-course of the stimulant. The cytokine secretion dynamics of single cell are typically explained by measuring the types, rates, frequencies and concentrations of various cytokines. For the quantitative measurements, label free localized surface plasmon resonance (LSPR) based biosensor can be integrated within the microfluidic device. Microfluidic channels can confine secreted cytokines in compartments, minimize dilution effects and increase detection sensitivity for label free plasmonic biosensing. The direct application of LSPR to in-situ live cell function analysis is still in its infancy and use of such in-situ, real time, and label free biodetection will effortlessly provide high-throughput quantitative bioanalysis for understanding immune system behavior.

Keywords

opticaldevicesbiomedical
Type
Articles
Information
MRS Advances , Volume 1 , Issue 56: Biomaterials and Soft Materials/Engaged Learning of Materials Science and Engineering in the 21st Century , 2016 , pp. 3783 - 3788
Copyright
Copyright © Materials Research Society 2016 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

Rajkumar, A. et al. Nature Genetics 45(10):1207–1215, (2013).CrossRefGoogle Scholar
Businaro, L. et al. Lab Chip,13, 229–239 (2013).CrossRefGoogle Scholar
Tay, S.,* Hughey, J.,* Lee, T., Lipniacki, T., Quake, S. R., Covert, M., Nature 466, 267 (2010).CrossRefGoogle Scholar
Alon, U., An Introduction to Systems Biology: Design Principles of Biological Circuits. 2006: Chapman & Hall/CRC.Google Scholar
Junkin, M., Tay, S.. Lab on a Chip, DOI: 10.1039/C3LC51182K, (2014).CrossRefGoogle Scholar
Gong, Y. et al. Lab on a Chip,10(18): p. 2334–2337 (2010).CrossRefGoogle Scholar
Faley, S. L. et al. Lab Chip, 9, 2659–2664 (2009).CrossRefGoogle Scholar
Leng, S.X. et al. The Journals of Gerontology Series A: Biological Sciences and Medical Sciences. 63(8): p. 879–884 (2008).Google Scholar
Di Carlo, D., et al. Analytical Chemistry. 78(14): p. 4925–4930 (2006).Google Scholar
Konry, T. et al. Biosensors and Bioelectronics. 26(5): p. 2707–2710 (2011).Google Scholar
Yanik, A. A. et al. Nano Letters, 10 (12), pp 4962–4969 (2010).Google Scholar
Yanik, A. A. et al. Applied Physics Letters, 96, 021101 (2010).Google Scholar
Adato, R., Aksu, S., Altug, H., Materials Today, 18, 8, 436–446, (2015).CrossRefGoogle Scholar
Aksu, S., Cetin, A.E., Adato, R., Altug, H.. Advanced Optical Materials, 1: 798–803, (2013).Google Scholar
Aksu, S., Yanik, A.A., Adato, R., Artar, A., Huang, M., Altug, H.. Nano Letters, 10 (7), pp 2511–2518, (2010).Google Scholar
Unger, M. A. et al. Science 288, 113 (2000).CrossRefGoogle Scholar
Xia, Y. and Whitesides, G. M. Angewandte Chemie International Edition, 37: 550–575, (1998).3.0.CO;2-G>CrossRefGoogle Scholar
Wu, S.-H., Lee, K.-L., Chiou, A., Cheng, X. and Wei, P.-K., Small, 9: 3532–3540, (2013).CrossRefGoogle Scholar
Stybayeva, G.S. et al. Colloids and Surfaces B: Biointerfaces, 80(2), 251–5. (2010).CrossRefGoogle Scholar