Engineered nanointerfaces for microfluidic isolation and molecular profiling of tumor-specific extracellular vesicles
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Author
Reátegui, Eduardo
van der Vos, Kristan E.
Lai, Charles P.
Zeinali, Mahnaz
Aldikacti, Berent
Floyd, Frederick P.
H. Khankhel, Aimal
Thapar, Vishal
Hochberg, Fred H.
S. Carter, Bob
T. Ting, David
Note: Order does not necessarily reflect citation order of authors.
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https://doi.org/10.1038/s41467-017-02261-1Metadata
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Reátegui, E., K. E. van der Vos, C. P. Lai, M. Zeinali, N. A. Atai, B. Aldikacti, F. P. Floyd, et al. 2018. “Engineered nanointerfaces for microfluidic isolation and molecular profiling of tumor-specific extracellular vesicles.” Nature Communications 9 (1): 175. doi:10.1038/s41467-017-02261-1. http://dx.doi.org/10.1038/s41467-017-02261-1.Abstract
Extracellular vesicles (EVs) carry RNA, DNA, proteins, and lipids. Specifically, tumor-derived EVs have the potential to be utilized as disease-specific biomarkers. However, a lack of methods to isolate tumor-specific EVs has limited their use in clinical settings. Here we report a sensitive analytical microfluidic platform (EVHB-Chip) that enables tumor-specific EV-RNA isolation within 3 h. Using the EVHB-Chip, we achieve 94% tumor-EV specificity, a limit of detection of 100 EVs per μL, and a 10-fold increase in tumor RNA enrichment in comparison to other methods. Our approach allows for the subsequent release of captured tumor EVs, enabling downstream characterization and functional studies. Processing serum and plasma samples from glioblastoma multiforme (GBM) patients, we can detect the mutant EGFRvIII mRNA. Moreover, using next-generation RNA sequencing, we identify genes specific to GBM as well as transcripts that are hallmarks for the four genetic subtypes of the disease.Other Sources
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5766611/pdf/Terms of Use
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http://nrs.harvard.edu/urn-3:HUL.InstRepos:34868834
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