Literature DB >> 30915846

Rapid Capture and Nondestructive Release of Extracellular Vesicles Using Aptamer-Based Magnetic Isolation.

Kaixiang Zhang1,2,3, Yale Yue1,4, Sixuan Wu1,2,3, Wei Liu1,2,3, Jinjin Shi1,2,3, Zhenzhong Zhang1,2,3.   

Abstract

Extracellular vesicles (EVs) play important roles in cell-cell communication by transferring cargo proteins and nucleic acids between cells. Due to their small size (50-150 nm) and low density, rapid capture and nondestructive release of EVs remains a technical challenge which significantly hinders study of their biofunction and biomedical application. To address this issue, we designed a DNA aptamer-based system that enabled rapid capture and nondestructive release of EVs in 90 min with similar isolation efficiency to ultracentrifugation (around 78%). Moreover, because we designed a DNA structure-switch process to release the exosomes, the isolated EVs maintained high bioactivity in cell-uptake assay and wound-healing assays. Using this method, we can isolate EVs from clinical samples and found that the amount of MUC1 positive EVs in breast cancer patient plasma sample is significantly higher than that in healthy donors. This DNA aptamer-based magnetic isolation strategy can be potentially applied for the biofunction study of EVs and EV-based point-of-care clinical tests.

Entities:  

Keywords:  DNA aptamer; DNA structure-switch; extracellular vesicles; magnetic isolation; nondestructive release

Mesh:

Substances:

Year:  2019        PMID: 30915846     DOI: 10.1021/acssensors.9b00060

Source DB:  PubMed          Journal:  ACS Sens        ISSN: 2379-3694            Impact factor:   7.711


  24 in total

Review 1.  Affinity-based isolation of extracellular vesicles and the effects on downstream molecular analysis.

Authors:  Gisela Ströhle; Jingxuan Gan; Huiyan Li
Journal:  Anal Bioanal Chem       Date:  2022-06-23       Impact factor: 4.478

Review 2.  Extracellular vesicles and particles impact the systemic landscape of cancer.

Authors:  Serena Lucotti; Candia M Kenific; Haiying Zhang; David Lyden
Journal:  EMBO J       Date:  2022-09-02       Impact factor: 14.012

Review 3.  Research Development on Exosome Separation Technology.

Authors:  Wei-Ming Xu; Ao Li; Jia-Jun Chen; En-Jie Sun
Journal:  J Membr Biol       Date:  2022-08-30       Impact factor: 2.426

Review 4.  Potentiality of Exosomal Proteins as Novel Cancer Biomarkers for Liquid Biopsy.

Authors:  Chunmiao Hu; Wei Jiang; Mingjin Lv; Shuhao Fan; Yujia Lu; Qingjun Wu; Jiang Pi
Journal:  Front Immunol       Date:  2022-06-09       Impact factor: 8.786

Review 5.  Novel devices for isolation and detection of bacterial and mammalian extracellular vesicles.

Authors:  Shiana Malhotra; Zarinah M Amin; Garima Dobhal; Sophie Cottam; Thomas Nann; Renee V Goreham
Journal:  Mikrochim Acta       Date:  2021-03-26       Impact factor: 5.833

Review 6.  Small extracellular vesicles in cancer.

Authors:  Komal Abhange; Amy Makler; Yi Wen; Natasha Ramnauth; Wenjun Mao; Waseem Asghar; Yuan Wan
Journal:  Bioact Mater       Date:  2021-04-07

Review 7.  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 8.  Separation, characterization, and standardization of extracellular vesicles for drug delivery applications.

Authors:  Dominik Buschmann; Veronika Mussack; James Brian Byrd
Journal:  Adv Drug Deliv Rev       Date:  2021-05-05       Impact factor: 17.873

Review 9.  Microfluidic systems for rapid antibiotic susceptibility tests (ASTs) at the single-cell level.

Authors:  Kaixiang Zhang; Shangshang Qin; Sixuan Wu; Yan Liang; Jinghong Li
Journal:  Chem Sci       Date:  2020-04-01       Impact factor: 9.825

Review 10.  The significance of exosomal RNAs in the development, diagnosis, and treatment of pancreatic cancer.

Authors:  Zheng Zhao; Guiping Zhao; Shuyue Yang; Shengtao Zhu; Shutian Zhang; Peng Li
Journal:  Cancer Cell Int       Date:  2021-07-09       Impact factor: 5.722

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