Literature DB >> 30828996

Quantitative and Specific Detection of Exosomal miRNAs for Accurate Diagnosis of Breast Cancer Using a Surface-Enhanced Raman Scattering Sensor Based on Plasmonic Head-Flocked Gold Nanopillars.

Jong Uk Lee1, Woo Hyun Kim1, Hye Sun Lee2, Kyong Hwa Park2, Sang Jun Sim1.   

Abstract

MicroRNAs in exosomes (exosomal miRNAs) have attracted increased attention as cancer biomarkers for early diagnosis and prognosis owing to their stability in body fluids. Since strong association exists between exosomal miRNA expression levels and breast cancer, the development of effective methods that can monitor exosomal miRNA expression both over broad concentration ranges and in ultralow amounts is critical. Here, a surface-enhanced Raman scattering (SERS)-based sensing platform is developed for the quantitative determination of exosomal miRNAs. Ultrasensitive exosomal miRNA detection with single-nucleotide specificity is obtained from enhanced SERS signals from a uniform plasmonic head-flocked gold nanopillar substrate, which generates multiple hotspots and enables hybridization between short oligonucleotides, i.e., miRNAs and locked nucleic acid probes. The proposed SERS sensor shows an extremely low detection limit without any amplification process, a wide dynamic range (1 am to 100 nm), multiplex sensing capability and sound miRNA recovery in serum. Furthermore, this sensor allows reliable observation of exosomal miRNA expression patterns from breast cancer cell lines and can discriminate breast cancer subtype based on the difference between these patterns. The results suggest that this sensor can be used for universal cancer diagnosis and further biomedical applications through the quantitative measurement of exosomal miRNAs in bodily fluids.
© 2019 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  cancer diagnosis; exosome; microRNA; plasmonic head-flocked gold nanopillar; surface-enhanced Raman scattering (SERS)

Year:  2019        PMID: 30828996     DOI: 10.1002/smll.201804968

Source DB:  PubMed          Journal:  Small        ISSN: 1613-6810            Impact factor:   13.281


  23 in total

Review 1.  Recent advances in nanomaterial-based biosensors for the detection of exosomes.

Authors:  Linan Zhang; Chunchuan Gu; Jiajun Wen; Guangxian Liu; Hongying Liu; Lihua Li
Journal:  Anal Bioanal Chem       Date:  2020-11-08       Impact factor: 4.142

Review 2.  Biosensor-based assay of exosome biomarker for early diagnosis of cancer.

Authors:  Ying Deng; Zhaowei Sun; Lei Wang; Minghui Wang; Jie Yang; Genxi Li
Journal:  Front Med       Date:  2021-09-27       Impact factor: 4.592

Review 3.  Roles of exosomal circRNAs in tumour immunity and cancer progression.

Authors:  Baojing Tuo; Zhuang Chen; Qin Dang; Chen Chen; Hao Zhang; Shengyun Hu; Zhenqiang Sun
Journal:  Cell Death Dis       Date:  2022-06-09       Impact factor: 9.685

Review 4.  Emerging methods in biomarker identification for extracellular vesicle-based liquid biopsy.

Authors:  Yaxuan Liang; Brandon M Lehrich; Siyang Zheng; Mengrou Lu
Journal:  J Extracell Vesicles       Date:  2021-05-12

Review 5.  Advances in microfluidic extracellular vesicle analysis for cancer diagnostics.

Authors:  Shibo Cheng; Yutao Li; He Yan; Yunjie Wen; Xin Zhou; Lee Friedman; Yong Zeng
Journal:  Lab Chip       Date:  2021-08-05       Impact factor: 7.517

Review 6.  Extracellular Vesicle Identification Using Label-Free Surface-Enhanced Raman Spectroscopy: Detection and Signal Analysis Strategies.

Authors:  Hyunku Shin; Dongkwon Seo; Yeonho Choi
Journal:  Molecules       Date:  2020-11-09       Impact factor: 4.411

Review 7.  Roles of Bile-Derived Exosomes in Hepatobiliary Disease.

Authors:  Yuan Yao; Dechao Jiao; Zhaonan Li; Xueliang Zhou; Jing Li; Zaoqu Liu; Xinwei Han
Journal:  Biomed Res Int       Date:  2021-01-13       Impact factor: 3.411

8.  Nanogenomics and Artificial Intelligence: A Dynamic Duo for the Fight Against Breast Cancer.

Authors:  Batla S Al-Sowayan; Alaa T Al-Shareeda
Journal:  Front Mol Biosci       Date:  2021-04-15

Review 9.  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 10.  Cancer Diagnosis through SERS and Other Related Techniques.

Authors:  Maria Blanco-Formoso; Ramon A Alvarez-Puebla
Journal:  Int J Mol Sci       Date:  2020-03-24       Impact factor: 5.923

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