Single-Particle Interferometric Reflectance Imaging Characterization of Individual Extracellular Vesicles and Population Dynamics.
Single-Particle Interferometric Reflectance Imaging Characterization of Individual Extracellular Vesicles and Population Dynamics.
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DOI:
10.3791/62988
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发表时间:
2022-01-10
期刊:
影响因子:
--
通讯作者:
Christenson LK
中科院分区:
文献类型:
--
作者:
Deng F;Ratri A;Deighan C;Daaboul G;Geiger PC;Christenson LK
Extracellular vesicles (EVs) are nanometer-sized vesicles with a lipid bilayer that are secreted by most cells. EVs carry a multitude of different biological molecules, including protein, lipid, DNA, and RNA, and are postulated to facilitate cell-to-cell communication in diverse tissues and organs. Recently, EVs have attracted significant attention as biomarkers for diagnostics and therapeutic agents for various diseases. Many methods have been developed for EV characterization. However, current methods for EV analysis all have different limitations. Thus, developing efficient and effective methods for EV isolation and characterization remains one of the crucial steps for this cutting-edge research field as it matures. Here, we provide a detailed protocol outlining a single-particle interferometric reflectance imaging sensor (SP-IRIS), as a method that is capable of detecting and characterizing EVs from unpurified biological sources and purified EVs by other methodologies. This advanced technique can be used for multi-level and comprehensive measurements for the analysis of EV size, EV count, EV phenotype, and biomarker colocalization. This protocol presents single-particle interferometric reflectance imaging that is designed for the multi-level and comprehensive measurements of extracellular vesicles (EV) size, EV count, EV phenotype, and EV biomarker colocalization.
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影响因子:
2.5
作者:
Pohler KG;Green JA;Moley LA;Gunewardena S;Hung WT;Payton RR;Hong X;Christenson LK;Geary TW;Smith MF
通讯作者:
Smith MF
DOI:
10.1039/c5an00688k
发表时间:
2015-10-07
期刊:
The Analyst
影响因子:
--
作者:
Wu Y;Deng W;Klinke DJ 2nd
通讯作者:
Klinke DJ 2nd
影响因子:
6
作者:
Sun B;Tang N;Peluso MJ;Iyer NS;Torres L;Donatelli JL;Munter SE;Nixon CC;Rutishauser RL;Rodriguez-Barraquer I;Greenhouse B;Kelly JD;Martin JN;Deeks SG;Henrich TJ;Pulliam L
通讯作者:
Pulliam L
影响因子:
16
作者:
Bachurski, Daniel;Schuldner, Maximiliane;von Strandmann, Elke Pogge
通讯作者:
von Strandmann, Elke Pogge
影响因子:
6.1
作者:
Lee,Mijung;Im,Wooseok;Kim,Manho
通讯作者:
Kim,Manho