A solution to the biophysical fractionation of extracellular vesicles: Acoustic Nanoscale Separation via Wave-pillar Excitation Resonance (ANSWER).
A solution to the biophysical fractionation of extracellular vesicles: Acoustic Nanoscale Separation via Wave-pillar Excitation Resonance (ANSWER).
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DOI：
10.1126/sciadv.ade0640
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发表时间：
2022-11-25
期刊：
影响因子：
13.6
通讯作者：
中科院分区：
文献类型：
--
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从生物流体中高精度分离小细胞外囊泡（sEV）对于开发下一代液体活检和再生疗法至关重要。然而，目前的sEV分离方法需要专门的设备和耗时的方案，并且难以产生高纯度的sEV亚群。在这里，我们提出了通过波柱激发共振（ANSWER）的声学纳米级分离，其允许从生物流体中单步、快速（<10分钟）、高纯度（>96%小外来体，>80%外来体）分离sEV亚群，而不需要任何样品预处理。粒子通过激发共振以尺寸选择性方式迭代偏转。这种先前未识别的现象使用表面声波在流体中产生虚拟的、可调谐的、柱状声场的图案。使用ANSWER证明了无需样品预处理或复杂的纳米纤维化方法的高度精确的sEV分馏，显示出作为一种强大工具的潜力，可以更深入地研究sEV亚群的复杂性，异质性和功能性。sEV亚群和纳米颗粒通过声学虚拟波柱直接分级，而无需任何样品预处理。
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. sEV subpopulations and nanoparticles are directly fractionated via acoustic virtual wave-pillars without any sample preprocessing.
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影响因子：
16
作者：
Iwai K;Minamisawa T;Suga K;Yajima Y;Shiba K
通讯作者：
Shiba K
DOI：
10.1126/science.aau6977
发表时间：
2020-02-07
期刊：
Science (New York, N.Y.)
影响因子：
--
作者：
Kalluri R;LeBleu VS
通讯作者：
LeBleu VS
影响因子：
13.6
作者：
Kamerkar S;Leng C;Burenkova O;Jang SC;McCoy C;Zhang K;Dooley K;Kasera S;Zi T;Sisó S;Dahlberg W;Sia CL;Patel S;Schmidt K;Economides K;Soos T;Burzyn D;Sathyanarayanan S
通讯作者：
Sathyanarayanan S
影响因子：
62.1
作者：
Kim, Yoonho;Zhao, Xuanhe
通讯作者：
Zhao, Xuanhe
影响因子：
44.1
作者：
Friend, James;Yeo, Leslie Y.
通讯作者：
Yeo, Leslie Y.