EventsThe 7th International Multidisciplinary Conference on Optofluidics 2017
Published
This submission belongs to the session 10. Droplets and emulsions of the event The 7th International Multidisciplinary Conference on Optofluidics 2017
Published date
21 Jul, 2017
Citation
Chia-Hung Chen, Single Cell Enzyme Analysis by Using Continuous Flow Microfluidics, in Proceedings of The 7th International Multidisciplinary Conference on Optofluidics 2017, Singapore, 25 July–28 July 2017, MDPI: Basel, Switzerland, doi: 10.3390/optofluidics2017-04321
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Single Cell Enzyme Analysis by Using Continuous Flow Microfluidics

1. Department of Biomedical Engineering, National University of Singapore
2. Biomedical Institute for Global Health Research and Technology, Singapore
3. The Singapore Institute for Neurotechnology, Singapore
Abstract

Precision medicine refers to giving the right therapeutics, to the right patient, at the right time. In the context of cancer, successful implementation of precision medicine, requires treatment individualization not only taking into account patient and tumor factors, but also tumor heterogeneity and tumor evolution over time. In this study, a continuous flow microfluidic device was developed as a functional flow cytometer (m-FACS) to detect secreted multiplexed protease activities at single cell resolution. The individual cells from patient samples are encapsulated within water-in-oil droplets for single cell multiplexed protease assay. We modified FRET (fluorescence resonance energy transfer)-based substrates to accommodate different fluorescent pairs with distinct excitation and emission wavelengths to obtain multiple signals from droplets containing single cells. Four substrate-protease reactions in a droplet were simultaneously monitored at three distinct pairs of fluorescent excitation (UV: 400nm, B: 470nm, G: 546nm, R: 635nm) and emission (B: 520nm, G: 580nm, R: 670nm) wavelengths. To infer a quantitative profile of multiple proteolytic activities from single cells, we applied the computational method Proteolytic Activity Matrix Analysis (PrAMA). The capability to determine multiple protease activities at single cell resolution has the potential to characterize tumor progress of individual patients.

Keywords
Emulsions
Enzymes
Proteases
Single Cell Analysis
Accelerating Organic Reactions in Droplets
OFF-CHIP MONODISPERSE DROPLET GENERATION FOR DIGITAL PCR AND DIGITAL LAMP BY CENTRIFUGATION