Paper-based ITP technology: An application to specific cancer-derived exosome detection and analysis.


Journal

Biosensors & bioelectronics
ISSN: 1873-4235
Titre abrégé: Biosens Bioelectron
Pays: England
ID NLM: 9001289

Informations de publication

Date de publication:
15 Sep 2020
Historique:
received: 04 03 2020
revised: 02 05 2020
accepted: 11 05 2020
pubmed: 2 6 2020
medline: 1 5 2021
entrez: 2 6 2020
Statut: ppublish

Résumé

Exosomes derived from cancer cells/tissues have great potential for early cancer diagnostic use, but their clinical potential has not been fully explored because of a lack of cost-effective multiplex approaches capable of effectively isolating and identifying specific exosome populations and analyzing their content biomarkers. This study was aimed at overcoming the technical barrier by developing a paper-based isotachophoresis (ITP) technology capable of 1) rapid isolation and identification of exosomes from both malignant and healthy cells and 2) multiplex detection of selected exosomal protein biomarkers of the target exosomes. The technology integrates the focusing power of ITP and the multiplex capability of paper-based lateral flow to achieve on-board separation of target exosomes from large extracellular vesicles, followed by electrokinetic enrichment of the targets, leading to an ultrasensitive platform for comprehensive exosome analysis. For a proof of concept, the technology platform was tested with human serum samples spiked with exosomes derived from healthy human serum and a prostate cancer cell line. Under an anionic ITP condition, the device showed superior performance in simultaneous detection of the cancer exosomes and normal exosomes at concentrations as low as 1.2-2.0 × 10

Identifiants

pubmed: 32479339
pii: S0956-5663(20)30287-6
doi: 10.1016/j.bios.2020.112292
pii:
doi:

Substances chimiques

Biomarkers 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

112292

Informations de copyright

Copyright © 2020 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Shuang Guo (S)

Gene and Linda Voiland School of Chemical Engineering and Bioengineering, Washington State University, Pullman, WA, USA.

Jie Xu (J)

Department of Biological and Agricultural Engineering, Washington State University, Pullman, WA, USA.

Alexander Pettit Estell (AP)

Gene and Linda Voiland School of Chemical Engineering and Bioengineering, Washington State University, Pullman, WA, USA.

Cornelius F Ivory (CF)

Gene and Linda Voiland School of Chemical Engineering and Bioengineering, Washington State University, Pullman, WA, USA.

Dan Du (D)

School of Mechanical and Materials Engineering, Washington State University, Pullman, WA, USA.

Yuehe Lin (Y)

School of Mechanical and Materials Engineering, Washington State University, Pullman, WA, USA.

Wen-Ji Dong (WJ)

Gene and Linda Voiland School of Chemical Engineering and Bioengineering, Washington State University, Pullman, WA, USA; Department of Integrative Physiology and Neuroscience, Washington State University, Pullman, WA, USA. Electronic address: dongwenji@wsu.edu.

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Classifications MeSH