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Extracellular vesicle microRNA quantification from plasma using an integrated microfluidic device

Extracellular vesicles (EV) containing microRNAs (miRNAs) have tremendous potential as biomarkers for the early detection of disease. Here, we present a simple and rapid PCR-free integrated microfluidics platform capable of absolute quantification (<10% uncertainty) of both free-floating miRNAs a...

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Autores principales: Ramshani, Zeinab, Zhang, Chenguang, Richards, Katherine, Chen, Lulu, Xu, Geyang, Stiles, Bangyan L., Hill, Reginald, Senapati, Satyajyoti, Go, David B., Chang, Hsueh-Chia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6527557/
https://www.ncbi.nlm.nih.gov/pubmed/31123713
http://dx.doi.org/10.1038/s42003-019-0435-1
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author Ramshani, Zeinab
Zhang, Chenguang
Richards, Katherine
Chen, Lulu
Xu, Geyang
Stiles, Bangyan L.
Hill, Reginald
Senapati, Satyajyoti
Go, David B.
Chang, Hsueh-Chia
author_facet Ramshani, Zeinab
Zhang, Chenguang
Richards, Katherine
Chen, Lulu
Xu, Geyang
Stiles, Bangyan L.
Hill, Reginald
Senapati, Satyajyoti
Go, David B.
Chang, Hsueh-Chia
author_sort Ramshani, Zeinab
collection PubMed
description Extracellular vesicles (EV) containing microRNAs (miRNAs) have tremendous potential as biomarkers for the early detection of disease. Here, we present a simple and rapid PCR-free integrated microfluidics platform capable of absolute quantification (<10% uncertainty) of both free-floating miRNAs and EV-miRNAs in plasma with 1 pM detection sensitivity. The assay time is only 30 minutes as opposed to 13 h and requires only ~20 μL of sample as oppose to 1 mL for conventional RT-qPCR techniques. The platform integrates a surface acoustic wave (SAW) EV lysing microfluidic chip with a concentration and sensing microfluidic chip incorporating an electrokinetic membrane sensor that is based on non-equilibrium ionic currents. Unlike conventional RT-qPCR methods, this technology does not require EV extraction, RNA purification, reverse transcription, or amplification. This platform can be easily extended for other RNA and DNA targets of interest, thus providing a viable screening tool for early disease diagnosis, prognosis, and monitoring of therapeutic response.
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spelling pubmed-65275572019-05-23 Extracellular vesicle microRNA quantification from plasma using an integrated microfluidic device Ramshani, Zeinab Zhang, Chenguang Richards, Katherine Chen, Lulu Xu, Geyang Stiles, Bangyan L. Hill, Reginald Senapati, Satyajyoti Go, David B. Chang, Hsueh-Chia Commun Biol Article Extracellular vesicles (EV) containing microRNAs (miRNAs) have tremendous potential as biomarkers for the early detection of disease. Here, we present a simple and rapid PCR-free integrated microfluidics platform capable of absolute quantification (<10% uncertainty) of both free-floating miRNAs and EV-miRNAs in plasma with 1 pM detection sensitivity. The assay time is only 30 minutes as opposed to 13 h and requires only ~20 μL of sample as oppose to 1 mL for conventional RT-qPCR techniques. The platform integrates a surface acoustic wave (SAW) EV lysing microfluidic chip with a concentration and sensing microfluidic chip incorporating an electrokinetic membrane sensor that is based on non-equilibrium ionic currents. Unlike conventional RT-qPCR methods, this technology does not require EV extraction, RNA purification, reverse transcription, or amplification. This platform can be easily extended for other RNA and DNA targets of interest, thus providing a viable screening tool for early disease diagnosis, prognosis, and monitoring of therapeutic response. Nature Publishing Group UK 2019-05-20 /pmc/articles/PMC6527557/ /pubmed/31123713 http://dx.doi.org/10.1038/s42003-019-0435-1 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Ramshani, Zeinab
Zhang, Chenguang
Richards, Katherine
Chen, Lulu
Xu, Geyang
Stiles, Bangyan L.
Hill, Reginald
Senapati, Satyajyoti
Go, David B.
Chang, Hsueh-Chia
Extracellular vesicle microRNA quantification from plasma using an integrated microfluidic device
title Extracellular vesicle microRNA quantification from plasma using an integrated microfluidic device
title_full Extracellular vesicle microRNA quantification from plasma using an integrated microfluidic device
title_fullStr Extracellular vesicle microRNA quantification from plasma using an integrated microfluidic device
title_full_unstemmed Extracellular vesicle microRNA quantification from plasma using an integrated microfluidic device
title_short Extracellular vesicle microRNA quantification from plasma using an integrated microfluidic device
title_sort extracellular vesicle microrna quantification from plasma using an integrated microfluidic device
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6527557/
https://www.ncbi.nlm.nih.gov/pubmed/31123713
http://dx.doi.org/10.1038/s42003-019-0435-1
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