Literature DB >> 30225507

Highly sensitive detection of exosomes by SERS using gold nanostar@Raman reporter@nanoshell structures modified with a bivalent cholesterol-labeled DNA anchor.

Ya-Fei Tian1, Cui-Fang Ning, Fang He, Bin-Cheng Yin, Bang-Ce Ye.   

Abstract

Exosomes, as important signal transmitters, play a key role in intercellular communication, especially in cancer metastasis. There is considerable evidence that exosomes can be used as an indicator of cancer. However, convenient and sensitive methods for detecting exosomes are still technically challenging. Here, we present a convenient and highly sensitive surface-enhanced Raman scattering (SERS) based method by combining immunoaffinity, SERS nanoprobes, and portable Raman devices for specific isolation and accurate quantification of exosomes. To construct the SERS-based biosensor, the surfaces of gold nanostar@4-mercaptobenzoic acid@nanoshell structures (AuNS@4-MBA@Au) are modified with a bivalent cholesterol (B-Chol)-labeled DNA anchor to prepare SERS nanoprobes. Exosomes are specifically captured by immunomagnetic beads, and then SERS nanoprobes are fixed on the surface of exosomes by hydrophobic interactions between cholesterol and lipid membranes, thus forming a sandwich-type immunocomplex. The immunocomplex can be magnetically captured and produce enhanced SERS signals. In the absence of exosomes, the sandwich-type immunocomplex cannot be formed, and thus negligible SERS signals are detected. The degree of immunocomplex assembly and the corresponding SERS signals are positively correlated with the exosome concentration over a wide linear range of 40 to 4 × 107 particles per μL and the limit of detection is as low as 27 particles per μL. Consequently, a sensitive and simple strategy for detection of exosomes is successfully constructed. We believe that our biosensor has considerable potential as a convenient and highly sensitive quantification tool to detect exosomes in biological samples.

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Year:  2018        PMID: 30225507     DOI: 10.1039/c8an01041b

Source DB:  PubMed          Journal:  Analyst        ISSN: 0003-2654            Impact factor:   4.616


  19 in total

1.  A hybridization chain reaction based assay for fluorometric determination of exosomes using magnetic nanoparticles and both aptamers and antibody as recognition elements.

Authors:  Liangliang Shi; Li Ba; Ying Xiong; Gang Peng
Journal:  Mikrochim Acta       Date:  2019-11-16       Impact factor: 5.833

2.  Single Particle Automated Raman Trapping Analysis of Breast Cancer Cell-Derived Extracellular Vesicles as Cancer Biomarkers.

Authors:  Jelle Penders; Anika Nagelkerke; Eoghan M Cunnane; Simon V Pedersen; Isaac J Pence; R Charles Coombes; Molly M Stevens
Journal:  ACS Nano       Date:  2021-11-04       Impact factor: 18.027

3.  Characterization of extracellular vesicles derived from mesenchymal stromal cells by surface-enhanced raman spectroscopy.

Authors:  Nina M Ćulum; Tyler T Cooper; Gillian I Bell; David A Hess; François Lagugné-Labarthet
Journal:  Anal Bioanal Chem       Date:  2021-06-17       Impact factor: 4.142

Review 4.  Using single-vesicle technologies to unravel the heterogeneity of extracellular vesicles.

Authors:  Guillermo Bordanaba-Florit; Félix Royo; Sergei G Kruglik; Juan M Falcón-Pérez
Journal:  Nat Protoc       Date:  2021-06-16       Impact factor: 13.491

Review 5.  Surface-Enhanced Raman Scattering (SERS) Spectroscopy for Sensing and Characterization of Exosomes in Cancer Diagnosis.

Authors:  Luca Guerrini; Eduardo Garcia-Rico; Ana O'Loghlen; Vincenzo Giannini; Ramon A Alvarez-Puebla
Journal:  Cancers (Basel)       Date:  2021-04-30       Impact factor: 6.639

Review 6.  Nanoplasmonic Approaches for Sensitive Detection and Molecular Characterization of Extracellular Vesicles.

Authors:  Tatu Rojalin; Brian Phong; Hanna J Koster; Randy P Carney
Journal:  Front Chem       Date:  2019-05-07       Impact factor: 5.221

7.  Label-Free Exosomal Detection and Classification in Rapid Discriminating Different Cancer Types Based on Specific Raman Phenotypes and Multivariate Statistical Analysis.

Authors:  Ping Zhang; Limin Wang; Yaping Fang; Dawei Zheng; Taifeng Lin; Huiqin Wang
Journal:  Molecules       Date:  2019-08-14       Impact factor: 4.411

Review 8.  Plasmonic Sensors for Extracellular Vesicle Analysis: From Scientific Development to Translational Research.

Authors:  Lip Ket Chin; Taehwang Son; Jae-Sang Hong; Ai-Qun Liu; Johan Skog; Cesar M Castro; Ralph Weissleder; Hakho Lee; Hyungsoon Im
Journal:  ACS Nano       Date:  2020-10-29       Impact factor: 15.881

Review 9.  Gap-enhanced Raman tags: fabrication, optical properties, and theranostic applications.

Authors:  Nikolai G Khlebtsov; Li Lin; Boris N Khlebtsov; Jian Ye
Journal:  Theranostics       Date:  2020-01-12       Impact factor: 11.556

10.  Extracellular Vesicles in Diagnosis and Treatment of Pancreatic Cancer: Current State and Future Perspectives.

Authors:  J Spencer Lane; Daniel Von Hoff; Derek Cridebring; Ajay Goel
Journal:  Cancers (Basel)       Date:  2020-06-10       Impact factor: 6.575

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