Literature DB >> 33369394

Precise Capture and Direct Quantification of Tumor Exosomes via a Highly Efficient Dual-Aptamer Recognition-Assisted Ratiometric Immobilization-Free Electrochemical Strategy.

Limin Yang1, Xuehan Yin1, Bin An1, Feng Li1.   

Abstract

Tumor exosomes are promising biomarkers for early cancer diagnosis in a noninvasive manner. However, precise capture and direct analysis of tumor-specific exosomes in complex biological samples are still challenging. Herein, we present a highly efficient dual-aptamer recognition system for precisely isolating and quantifying tumor exosomes from the complex biological environment based on hyperbranched DNA superstructure-facilitated signal amplification and ratiometric dual-signal strategies. When tumor exosomes were captured by the dual-aptamer recognition system, the cholesterol-modified DNA probe was anchored on the surface of the exosomes, activating DNA tetrahedron-based hyperbranched hybridization chain reaction to generate a sandwich complex. Then, the sandwich complex could bind a large number of Ru(NH3)63+ (Ru(III)), leading to a small amount of unbound Ru(III) left in the supernatant after magnetic separation. Hence, the redox reaction between Ru(II) and [Fe(CN)6]3- (Fe(III)) was significantly prevented, causing an obviously enhanced IFe(III)/IRu(III) value. Consequently, highly sensitive detection of tumor exosomes was achieved. The developed approach successfully realized direct isolation and analysis of tumor exosomes in complex sample media and human serum samples as well. More significantly, this ratiometric dual-signal mode and immobilization-free strategy effectively circumvented the systematic errors caused by external factors and the tedious probe immobilization processes, thus displaying the excellent performances of high reliability, improved accuracy, and easy manipulation. Overall, this approach is expected to offer novel ways for nondestructive early cancer diagnosis.

Entities:  

Year:  2020        PMID: 33369394     DOI: 10.1021/acs.analchem.0c04308

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  7 in total

1.  Blood plasma derived extracellular vesicles (BEVs): particle purification liquid chromatography (PPLC) and proteomic analysis reveals BEVs as a potential minimally invasive tool for predicting response to breast cancer treatment.

Authors:  Folnetti A Alvarez; Hussein Kaddour; Yuan Lyu; Christina Preece; Jules Cohen; Lea Baer; Alison T Stopeck; Patricia Thompson; Chioma M Okeoma
Journal:  Breast Cancer Res Treat       Date:  2022-09-17       Impact factor: 4.624

Review 2.  Aptamers as Recognition Elements for Electrochemical Detection of Exosomes.

Authors:  Kaili Chang; Peng Sun; Xin Dong; Chunnan Zhu; Xiaojun Liu; Dongyun Zheng; Chao Liu
Journal:  Chem Res Chin Univ       Date:  2022-05-11       Impact factor: 2.726

Review 3.  Aptasensors for Cancerous Exosome Detection.

Authors:  Jin Li; Sitao Xie; Fengli Qu; Weihong Tan
Journal:  Methods Mol Biol       Date:  2022

4.  A label-free and modification-free ratiometric electrochemical strategy for enhanced natural enzyme detection using a bare electrode and nanozymes system.

Authors:  Honghong Rao; Jianying Li; Mingyue Luo; Kehui Zhang; Hao Gou; Haixia Liu; Zhonghua Xue
Journal:  Anal Bioanal Chem       Date:  2022-02-01       Impact factor: 4.142

5.  Nanomaterials assisted exosomes isolation and analysis towards liquid biopsy.

Authors:  Xiaoni Fang; Yuqing Wang; Shurong Wang; Baohong Liu
Journal:  Mater Today Bio       Date:  2022-07-22

6.  Visualizing MiRNA Regulation of Apoptosis for Investigating the Feasibility of MiRNA-Targeted Therapy Using a Fluorescent Nanoprobe.

Authors:  Mingyao Ren; Zhe Chen; Chuandong Ge; Wei Hu; Jing Xu; Limin Yang; Mingming Luan; Nianxing Wang
Journal:  Pharmaceutics       Date:  2022-06-25       Impact factor: 6.525

7.  Simultaneous Visualization of MiRNA-221 and Caspase-3 in Cancer Cells for Investigating the Feasibility of MiRNA-Targeted Therapy with a Dual-Color Fluorescent Nanosensor.

Authors:  Mingyao Ren; Zhe Chen; Chuandong Ge; Wei Hu; Nianxing Wang; Limin Yang; Mingming Luan; Jing Xu
Journal:  Biosensors (Basel)       Date:  2022-06-23
  7 in total

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