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基于肽的生物传感方法用于靶向乳腺癌来源的外泌体。

Peptide-based biosensing approaches for targeting breast cancer-derived exosomes.

机构信息

Biosensing and Bioanalysis Group, Institute of Biotechnology and Biomedicine, Universitat Autònoma de Barcelona, Spain; Grup de Sensors i Biosensors, Departament de Química, Universitat Autònoma de Barcelona, Bellaterra, Spain; Institute of Chemistry, State University of São Paulo (UNESP), Brazil.

Biosensing and Bioanalysis Group, Institute of Biotechnology and Biomedicine, Universitat Autònoma de Barcelona, Spain; Grup de Sensors i Biosensors, Departament de Química, Universitat Autònoma de Barcelona, Bellaterra, Spain.

出版信息

Biosens Bioelectron. 2024 Jul 1;255:116211. doi: 10.1016/j.bios.2024.116211. Epub 2024 Mar 19.

DOI:10.1016/j.bios.2024.116211
PMID:38537428
Abstract

Exosomes are nanovesicles present in all the biological fluids, making them attractive as non-invasive biomarkers for diseases like cancer, among many others. However, exosomes are complex to separate and detect, requiring comprehensive molecular characterization for their routine use in diagnostics. This study explores the use of peptides as cost-effective and stable alternatives to antibodies for exosome binding. To achieve that, phage display technology was employed to select peptides with high specificity for target molecules in exosomes. Specifically, a selected peptide was evaluated for its ability to selectively bind breast cancer-derived exosomes. Proteomic analysis identified 38 protein candidates targeted by the peptide on exosome membranes. The binding of the peptide to breast cancer-derived exosomes was successfully demonstrated by flow cytometry and magneto-actuated immunoassays. Furthermore, an electrochemical biosensor was also tested for breast cancer-derived exosome detection and quantification. The peptide demonstrated effective binding to exosomes from aggressive cancer cell lines, offering promising results in terms of specificity and recovery. This research shows potential for developing rapid, accessible diagnostic tools for breast cancer, especially in low-resource healthcare settings.

摘要

外泌体存在于所有生物体液中,因此它们作为癌症等疾病的非侵入性生物标志物具有吸引力。然而,外泌体的分离和检测较为复杂,需要进行全面的分子特征分析,才能将其常规应用于诊断。本研究探讨了使用肽作为替代抗体的经济且稳定的选择,用于外泌体结合。为实现这一目标,采用噬菌体展示技术筛选对外泌体中靶分子具有高特异性的肽。具体来说,评估了一种选定的肽选择性结合乳腺癌来源的外泌体的能力。蛋白质组学分析鉴定了外泌体膜上该肽靶向的 38 种候选蛋白。通过流式细胞术和磁驱动免疫测定成功证明了该肽与乳腺癌来源的外泌体的结合。此外,还测试了电化学生物传感器用于检测和定量乳腺癌来源的外泌体。该肽能够有效结合侵袭性癌细胞系来源的外泌体,在特异性和回收率方面具有良好的效果。这项研究为开发快速、易于获取的乳腺癌诊断工具展示了潜力,尤其是在资源有限的医疗环境中。

相似文献

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Peptide-based biosensing approaches for targeting breast cancer-derived exosomes.基于肽的生物传感方法用于靶向乳腺癌来源的外泌体。
Biosens Bioelectron. 2024 Jul 1;255:116211. doi: 10.1016/j.bios.2024.116211. Epub 2024 Mar 19.
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Electrochemical immunosensing of nanovesicles as biomarkers for breast cancer.电化学免疫传感纳米囊泡作为乳腺癌生物标志物。
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Matrix Effect in the Isolation of Breast Cancer-Derived Nanovesicles by Immunomagnetic Separation and Electrochemical Immunosensing-A Comparative Study.免疫磁分离-电化学免疫传感法分离乳腺癌来源的纳米囊泡中的基质效应:比较研究。
Sensors (Basel). 2020 Feb 11;20(4):965. doi: 10.3390/s20040965.
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Electrochemical biosensors in exosome analysis; a short journey to the present and future trends in early-stage evaluation of cancers.电化学生物传感器在细胞外囊泡分析中的应用:癌症早期评估中当前及未来趋势的短暂回顾。
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Introduction of Nanomaterials to Biosensors for Exosome Detection: Case Study for Cancer Analysis.纳米材料在用于外泌体检测的生物传感器中的应用:癌症分析案例研究。
Biosensors (Basel). 2022 Aug 17;12(8):648. doi: 10.3390/bios12080648.
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Advances in Biosensors Technology for Detection and Characterization of Extracellular Vesicles.生物传感器技术在细胞外囊泡检测和表征方面的进展。
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Recent Advances in Exosomal Protein Detection Via Liquid Biopsy Biosensors for Cancer Screening, Diagnosis, and Prognosis.液体活检生物传感器在癌症筛查、诊断和预后中通过外泌体蛋白检测的最新进展。
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Multiplex detection and characterization of breast cancer exosomes by magneto-actuated immunoassay.磁驱动免疫分析多指标检测和鉴定乳腺癌外泌体。
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The activity of alkaline phosphatase in breast cancer exosomes simplifies the biosensing design.乳腺癌外泌体中碱性磷酸酶的活性简化了生物传感设计。
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Molecular screening of cancer-derived exosomes by surface plasmon resonance spectroscopy.利用表面等离子体共振光谱对癌症来源的外泌体进行分子筛选。
Anal Bioanal Chem. 2015 Jul;407(18):5425-32. doi: 10.1007/s00216-015-8711-5. Epub 2015 Apr 30.

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