Microfluidic-based capture and release of cancer-derived exosomes via peptide-nanowire hybrid interface.


Journal

Lab on a chip
ISSN: 1473-0189
Titre abrégé: Lab Chip
Pays: England
ID NLM: 101128948

Informations de publication

Date de publication:
07 02 2021
Historique:
pubmed: 29 12 2020
medline: 22 6 2021
entrez: 28 12 2020
Statut: ppublish

Résumé

Cancer-derived circulating exosomes or nanoscale extracellular vesicles are emerging biomarkers for disease detection and treatment because of their cell-specific constituents and unique intercellular pathways. For efficient exosome isolation from bio-fluids, the design of high-affinity nanointerfaces is of great importance in the development of miniaturized systems for the collection of exosomes. Herein, we report peptide-functionalized nanowires as a biorecognition interface for the capture and release of cancer-derived exosomes within a microfluidic channel. Based on the amino-acid sequence of EWI-2 protein, a partial peptide that bound to the CD9 exosome marker and thus targeted cancer exosomes was screened. Linkage of the exosome-targeting peptide with a ZnO-binding sequence allowed one-step and reagent-free peptide modification of the ZnO nanowire array. As a result of peptide functionalization, the exosome-capturing ability of ZnO nanowires was significantly improved. Furthermore, the captured exosomes could be subsequently released from the nanowires under a neutral salt condition for downstream applications. This engineered surface that enhances the nanowires' efficiency in selective and controllable collection of cancer-derived exosomes provides an alternative foundation for developing microfluidic platforms for exosome-based diagnostics and therapeutics.

Identifiants

pubmed: 33367429
doi: 10.1039/d0lc00899k
doi:

Substances chimiques

Peptides 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

597-607

Auteurs

Thanawat Suwatthanarak (T)

Department of Chemical Science and Engineering, Tokyo Institute of Technology, 2-12-1 O-okayama, Meguro-ku, Tokyo 152-8552, Japan. okochi.m.aa@m.titech.ac.jp.

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Classifications MeSH