Modeling and optimization of parallelized immunomagnetic nanopore sorting for surface marker specific isolation of extracellular vesicles from complex media.
Modeling and optimization of parallelized immunomagnetic nanopore sorting for surface marker specific isolation of extracellular vesicles from complex media.
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DOI：
10.1038/s41598-023-39746-7
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发表时间：
2023-08-16
影响因子：
4.6
通讯作者：
Issadore, David
中科院分区：
文献类型：
--
作者：
Lin, Andrew A.;Shen, Hanfei;Spychalski, Griffin;Carpenter, Erica L.;Issadore, David
The isolation of specific subpopulations of extracellular vesicles (EVs) based on their expression of surface markers poses a significant challenge due to their nanoscale size (< 800 nm), their heterogeneous surface marker expression, and the vast number of background EVs present in clinical specimens (1010–1012 EVs/mL in blood). Highly parallelized nanomagnetic sorting using track etched magnetic nanopore (TENPO) chips has achieved precise immunospecific sorting with high throughput and resilience to clogging. However, there has not yet been a systematic study of the design parameters that control the trade-offs in throughput, target EV recovery, and ability to discard background EVs in this approach. We combine finite-element simulation and experimental characterization of TENPO chips to elucidate design rules to isolate EV subpopulations from blood. We demonstrate the utility of this approach by reducing device background > 10× relative to prior published designs without sacrificing recovery of the target EVs by selecting pore diameter, number of membranes placed in series, and flow rate. We compare TENPO-isolated EVs to those of gold-standard methods of EV isolation and demonstrate its utility for wide application and modularity by targeting subpopulations of EVs from multiple models of disease including lung cancer, pancreatic cancer, and liver cancer.
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影响因子：
17.1
作者：
Lee K;Fraser K;Ghaddar B;Yang K;Kim E;Balaj L;Chiocca EA;Breakefield XO;Lee H;Weissleder R
通讯作者：
Weissleder R
影响因子：
4.1
作者：
Ferguson S;Weissleder R
通讯作者：
Weissleder R
影响因子：
6.6
作者：
Antunes-Ferreira M;Koppers-Lalic D;Würdinger T
通讯作者：
Würdinger T
影响因子：
4.8
作者：
Beard K;Yang Z;Haber M;Flamholz M;Diaz-Arrastia R;Sandsmark D;Meaney DF;Issadore D
通讯作者：
Issadore D
影响因子：
16.6
作者：
Leal, Alessandro;van Grieken, Nicole C. T.;Velculescu, Victor E.
通讯作者：
Velculescu, Victor E.