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A solution to the biophysical fractionation of extracellular vesicles: Acoustic Nanoscale Separation via Wave-pillar Excitation Resonance (ANSWER).
Zhang, Jinxin; Chen, Chuyi; Becker, Ryan; Rufo, Joseph; Yang, Shujie; Mai, John; Zhang, Peiran; Gu, Yuyang; Wang, Zeyu; Ma, Zhehan; Xia, Jianping; Hao, Nanjing; Tian, Zhenhua; Wong, David T W; Sadovsky, Yoel; Lee, Luke P; Huang, Tony Jun.
Afiliación
  • Zhang J; Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA.
  • Chen C; Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA.
  • Becker R; Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA.
  • Rufo J; Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA.
  • Yang S; Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA.
  • Mai J; Alfred E. Mann Institute for Biomedical Engineering, University of Southern California, Los Angeles, CA 90089, USA.
  • Zhang P; Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA.
  • Gu Y; Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA.
  • Wang Z; Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA.
  • Ma Z; Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA.
  • Xia J; Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA.
  • Hao N; Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA.
  • Tian Z; Department of Mechanical Engineering, Virginia Polytechnic Institute and State University, Blacksburg, VA 24060, USA.
  • Wong DTW; School of Dentistry and the Departments of Otolaryngology/Head and Neck Surgery, University of California, Los Angeles, Los Angeles, CA 90095, USA.
  • Sadovsky Y; Magee-Womens Research Institute, University of Pittsburgh, Pittsburgh, PA 15213, USA.
  • Lee LP; Department of Obstetrics, Gynecology, and Reproductive Sciences, University of Pittsburgh, Pittsburgh, PA 15261, USA.
  • Huang TJ; Renal Division and Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Harvard University, Boston, MA 02115, USA.
Sci Adv ; 8(47): eade0640, 2022 Nov 25.
Article en En | MEDLINE | ID: mdl-36417505
ABSTRACT
High-precision isolation of small extracellular vesicles (sEVs) from biofluids is essential toward developing next-generation liquid biopsies and regenerative therapies. However, current methods of sEV separation require specialized equipment and time-consuming protocols and have difficulties producing highly pure subpopulations of sEVs. Here, we present Acoustic Nanoscale Separation via Wave-pillar Excitation Resonance (ANSWER), which allows single-step, rapid (<10 min), high-purity (>96% small exosomes, >80% exomeres) fractionation of sEV subpopulations from biofluids without the need for any sample preprocessing. Particles are iteratively deflected in a size-selective manner via an excitation resonance. This previously unidentified phenomenon generates patterns of virtual, tunable, pillar-like acoustic field in a fluid using surface acoustic waves. Highly precise sEV fractionation without the need for sample preprocessing or complex nanofabrication methods has been demonstrated using ANSWER, showing potential as a powerful tool that will enable more in-depth studies into the complexity, heterogeneity, and functionality of sEV subpopulations.

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Guideline Idioma: En Revista: Sci Adv Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Guideline Idioma: En Revista: Sci Adv Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos
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