Literature DB >> 31363724

Efficient isolation and sensitive quantification of extracellular vesicles based on an integrated ExoID-Chip using photonic crystals.

Xing Dong1, Junjie Chi1, Liuzheng Zheng1, Biao Ma1, Zhiyang Li2, Su Wang2, Chao Zhao1, Hong Liu1.   

Abstract

Extracellular vesicles (EVs), involved in many diseases and pathophysiological processes, have emerged as potential biomarkers for cancer diagnosis. However, efficient isolation and detection of EVs still remain challenging. Here, we report an integrated chip for isolation of EVs with a double-filtration unit and ultrasensitive detection using photonic crystal (PC) nanostructure. Nanofiltration membranes were integrated into the device to isolate and enrich the EVs of 20-200 nm in size based on size-exclusion. Then, CD63 aptamers were used to combine the EVs on the nanofiltration membrane with a pore size of 20 nm, and excess aptamers passed through the membrane to bind with CD63 immobilized on the PC nanostructure. Benefitting from the fluorescence enhancement effect of the PC nanostructure in competition assays, the EVs could be quantified sensitively by analyzing the concentration of excess aptamers. Due to the high sensitivity, the limit of detection was as low as 8.9 × 103 EVs per mL with a low sample consumption of only 20 μL. Furthermore, serum samples from breast cancer patients and healthy donors could be successfully distinguished. Thus, this microfluidic chip provides an effective method for pre-screening of cancer in clinical samples.

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Year:  2019        PMID: 31363724     DOI: 10.1039/c9lc00445a

Source DB:  PubMed          Journal:  Lab Chip        ISSN: 1473-0189            Impact factor:   6.799


  9 in total

Review 1.  Emerging micro-nanotechnologies for extracellular vesicles in immuno-oncology: from target specific isolations to immunomodulation.

Authors:  Nna-Emeka Onukwugha; Yoon-Tae Kang; Sunitha Nagrath
Journal:  Lab Chip       Date:  2022-09-13       Impact factor: 7.517

2.  Si nanowire Bio-FET for electrical and label-free detection of cancer cell-derived exosomes.

Authors:  Wenjie Zhao; Jiawei Hu; Jinlong Liu; Xin Li; Sheng Sun; Xiaofeng Luan; Yang Zhao; Shuhua Wei; Mingxiao Li; Qingzhu Zhang; Chengjun Huang
Journal:  Microsyst Nanoeng       Date:  2022-05-30       Impact factor: 8.006

3.  Label-free ferrohydrodynamic separation of exosome-like nanoparticles.

Authors:  Yang Liu; Wujun Zhao; Rui Cheng; Meghan Logun; Maria Del Mar Zayas-Viera; Lohitash Karumbaiah; Leidong Mao
Journal:  Lab Chip       Date:  2020-08-26       Impact factor: 6.799

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

6.  Quality Assessment and Comparison of Plasma-Derived Extracellular Vesicles Separated by Three Commercial Kits for Prostate Cancer Diagnosis.

Authors:  Bairen Pang; Ying Zhu; Jie Ni; Juanfang Ruan; James Thompson; David Malouf; Joseph Bucci; Peter Graham; Yong Li
Journal:  Int J Nanomedicine       Date:  2020-12-15

Review 7.  Advanced Nanotechnologies for Extracellular Vesicle-Based Liquid Biopsy.

Authors:  Li Min; Binshuai Wang; Han Bao; Xinran Li; Libo Zhao; Jingxin Meng; Shutao Wang
Journal:  Adv Sci (Weinh)       Date:  2021-08-31       Impact factor: 16.806

Review 8.  Application of Microfluidic Systems for Breast Cancer Research.

Authors:  Zachary D Frankman; Linan Jiang; Joyce A Schroeder; Yitshak Zohar
Journal:  Micromachines (Basel)       Date:  2022-01-20       Impact factor: 2.891

Review 9.  Exosomal miRNAs as biomarkers for diagnostic and prognostic in lung cancer.

Authors:  Jing Wu; Zuojun Shen
Journal:  Cancer Med       Date:  2020-08-10       Impact factor: 4.452

  9 in total

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