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Microfluidic Approaches and Methods Enabling Extracellular Vesicle Isolation for Cancer Diagnostics

1
Department of Mechanical and Aerospace Engineering, College of Engineering, The Ohio State University, Columbus, OH 43210, USA
2
Department of Biomedical Engineering, College of Engineering, The Ohio State University, Columbus, OH 43210, USA
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Department of Neuroscience, College of Arts and Sciences and College of Medicine, The Ohio State University, Columbus, OH 43210, USA
4
Center for Life Sciences Education, The Ohio State University, Columbus, OH 43210, USA
5
Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USA
*
Author to whom correspondence should be addressed.
Academic Editors: Xiaolin Chen and Jie Xu
Micromachines 2022, 13(1), 139; https://doi.org/10.3390/mi13010139
Received: 15 December 2021 / Revised: 9 January 2022 / Accepted: 14 January 2022 / Published: 16 January 2022
(This article belongs to the Special Issue Microfluidic Chip for Circulating Tumor Cells)
Advances in cancer research over the past half-century have clearly determined the molecular origins of the disease. Central to the use of molecular signatures for continued progress, including rapid, reliable, and early diagnosis is the use of biomarkers. Specifically, extracellular vesicles as biomarker cargo holders have generated significant interest. However, the isolation, purification, and subsequent analysis of these extracellular vesicles remain a challenge. Technological advances driven by microfluidics-enabled devices have made the challenges for isolation of extracellular vesicles an emerging area of research with significant possibilities for use in clinical settings enabling point-of-care diagnostics for cancer. In this article, we present a tutorial review of the existing microfluidic technologies for cancer diagnostics with a focus on extracellular vesicle isolation methods. View Full-Text
Keywords: extracellular vesicles; exosome; microfluidics; cancer diagnosis extracellular vesicles; exosome; microfluidics; cancer diagnosis
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MDPI and ACS Style

Singh, P.K.; Patel, A.; Kaffenes, A.; Hord, C.; Kesterson, D.; Prakash, S. Microfluidic Approaches and Methods Enabling Extracellular Vesicle Isolation for Cancer Diagnostics. Micromachines 2022, 13, 139. https://doi.org/10.3390/mi13010139

AMA Style

Singh PK, Patel A, Kaffenes A, Hord C, Kesterson D, Prakash S. Microfluidic Approaches and Methods Enabling Extracellular Vesicle Isolation for Cancer Diagnostics. Micromachines. 2022; 13(1):139. https://doi.org/10.3390/mi13010139

Chicago/Turabian Style

Singh, Premanshu K., Aarti Patel, Anastasia Kaffenes, Catherine Hord, Delaney Kesterson, and Shaurya Prakash. 2022. "Microfluidic Approaches and Methods Enabling Extracellular Vesicle Isolation for Cancer Diagnostics" Micromachines 13, no. 1: 139. https://doi.org/10.3390/mi13010139

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