Possibilities and limitations of current technologies for quantification of biological extracellular vesicles and synthetic mimics.
Possibilities and limitations of current technologies for quantification of biological extracellular vesicles and synthetic mimics.
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DOI:
10.1016/j.jconrel.2014.12.041
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发表时间:
2015-02-28
期刊:
影响因子:
--
通讯作者:
Nolte-'t Hoen EN
中科院分区:
文献类型:
--
作者:
Maas SL;de Vrij J;van der Vlist EJ;Geragousian B;van Bloois L;Mastrobattista E;Schiffelers RM;Wauben MH;Broekman ML;Nolte-'t Hoen EN
Nano-sized extracelullar vesicles (EVs) released by various cell types play important roles in a plethora of (patho)physiological processes and are increasingly recognized as biomarkers for disease. In addition, engineered EV and EV-inspired liposomes hold great potential as drug delivery systems. Major technologies developed for high-throughput analysis of individual EV include nanoparticle tracking analysis (NTA), tunable resistive pulse sensing (tRPS) and high-resolution flow cytometry (hFC). Currently, there is a need for comparative studies on the available technologies to improve standardization of vesicle analysis in diagnostic or therapeutic settings. We investigated the possibilities, limitations and comparability of NTA, tRPS and hFC for analysis of tumor cell-derived EVs and synthetic mimics (i.e. differently sized liposomes). NTA and tRPS instrument settings were identified that significantly affected the quantification of these particles. Furthermore, we detailed the differences in absolute quantification of EVs and liposomes using the three technologies. This study increases our understanding of possibilities and pitfalls of NTA, tRPS and hFC, which will benefit standardized and large-scale clinical application of (engineered) EVs and EV-mimics in the future.
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DOI:
10.1038/nri3622
发表时间:
2014-03
期刊:
Nature reviews. Immunology
影响因子:
--
作者:
通讯作者:
--
影响因子:
6.1
作者:
Gatti, Stefano;Bruno, Stefania;Camussi, Giovanni
通讯作者:
Camussi, Giovanni
影响因子:
5.8
作者:
Sokolova, Viktoriya;Ludwig, Anna-Kristin;Glebel, Bernd
通讯作者:
Glebel, Bernd
影响因子:
3.8
作者:
PIDGEON, C;HUNT, CA
通讯作者:
HUNT, CA
影响因子:
12.6
作者:
Roberts, G. Seth;Yu, Sam;Vogel, Robert
通讯作者:
Vogel, Robert