Authors
Fei Liu, Ophir Vermesh, Vigneshwaran Mani, Tianjia J Ge, Steven J Madsen, Andrew Sabour, En-Chi Hsu, Gayatri Gowrishankar, Masamitsu Kanada, Jesse V Jokerst, Raymond G Sierra, Edwin Chang, Kenneth Lau, Kaushik Sridhar, Abel Bermudez, Sharon J Pitteri, Tanya Stoyanova, Robert Sinclair, Viswam S Nair, Sanjiv S Gambhir, Utkan Demirci
Publication date
2017/11/28
Journal
ACS nano
Volume
11
Issue
11
Pages
10712-10723
Publisher
American Chemical Society
Description
Circulating tumor-derived extracellular vesicles (EVs) have emerged as a promising source for identifying cancer biomarkers for early cancer detection. However, the clinical utility of EVs has thus far been limited by the fact that most EV isolation methods are tedious, nonstandardized, and require bulky instrumentation such as ultracentrifugation (UC). Here, we report a size-based EV isolation tool called ExoTIC (exosome total isolation chip), which is simple, easy-to-use, modular, and facilitates high-yield and high-purity EV isolation from biofluids. ExoTIC achieves an EV yield ∼4–1000-fold higher than that with UC, and EV-derived protein and microRNA levels are well-correlated between the two methods. Moreover, we demonstrate that ExoTIC is a modular platform that can sort a heterogeneous population of cancer cell line EVs based on size. Further, we utilize ExoTIC to isolate EVs from cancer patient clinical …
Total citations
201820192020202120222023202417404565537138
Scholar articles
F Liu, O Vermesh, V Mani, TJ Ge, SJ Madsen, A Sabour… - ACS nano, 2017