scholarly journals Microfluidic device for high-throughput affinity-based isolation of extracellular vesicles

Lab on a Chip ◽  
2020 ◽  
Vol 20 (10) ◽  
pp. 1762-1770 ◽  
Author(s):  
Ting-Wen Lo ◽  
Ziwen Zhu ◽  
Emma Purcell ◽  
Daniel Watza ◽  
Joyful Wang ◽  
...  

Immunoaffinity based EV isolation technologies use antibodies targeting surface markers on EVs to provide higher isolation specificity and purity compared to existing approaches.

2021 ◽  
Author(s):  
Rachel R. Mizenko ◽  
Terza Brostoff ◽  
Tatu Rojalin ◽  
Hanna J. Koster ◽  
Hila S. Swindell ◽  
...  

AbstractTetraspanin expression of extracellular vesicles (EVs) is often used as a surrogate for their general detection and classification from background contaminants. This common practice typically assumes a consistent expression of tetraspanins across EV sources, thus obscuring subpopulations of variable or limited tetraspanin expression. While some recent studies indicate differential expression of tetraspanins across bulk isolated EVs, here we present analysis of single EVs isolated using various field-standard methods from a variety of in vitro and in vivo sources to identify distinct patterns in colocalization of tetraspanin expression. We report an optimized method for the use of antibodycapture single particle interferometric reflectance imaging sensing (SP-IRIS) and fluorescence detection to identify subpopulations according to tetraspanin expression and compare our findings with nanoscale flow cytometry. Using SP-IRIS and immunofluorescence, we report that tetraspanin profile is consistent from a given EV source regardless of isolation method, but that tetraspanin profiles are distinct across various sources. Tetraspanin profiles as measured by flow cytometry do not share similar trends, suggesting that limitations in subpopulation detection significantly impact apparent protein expression. We further analyzed tetraspanin expression of single EVs captured non-specifically, revealing that tetraspanin capture can bias the apparent multiplexed tetraspanin profile. Finally, we demonstrate that this bias can have significant impact on diagnostic sensitivity for tumor-associated EV surface markers. Our findings may reveal key insights into the complexities of the EV biogenesis and signaling pathways and better inform EV capture and detection platforms for diagnostic or other downstream use.


2018 ◽  
Author(s):  
Yahui Ji ◽  
Dongyuan Qi ◽  
Linmei Li ◽  
Haoran Su ◽  
Xiaojie Li ◽  
...  

AbstractExtracellular vesicles (EVs) are important intercellular mediators regulating health and disease. Conventional EVs surface marker profiling, which was based on population measurements, masked the cell-to-cell heterogeneity in the quantity and phenotypes of EVs secretion. Herein, by using spatially patterned antibodies barcode, we realized multiplexed profiling of single-cell EVs secretion from more than 1000 single cells simultaneously. Applying this platform to profile human oral squamous cell carcinoma (OSCC) cell lines led to deep understanding of previously undifferentiated single cell heterogeneity underlying EVs secretion. Notably, we observed the decrement of certain EV phenotypes (e.g. CD63+EVs) were associated with the invasive feature of both OSCC cell lines and primary OSCC cells. We also realized multiplexed detection of EVs secretion and cytokines secretion simultaneously from the same single cells to investigate multidimensional spectrum of intercellular communications, from which we resolved three functional subgroups with distinct secretion profiles by visualized clustering. In particular, we found EVs secretion and cytokines secretion were generally dominated by different cell subgroups. The technology introduced here enables comprehensive evaluation of EVs secretion heterogeneity at single cell level, which may become an indispensable tool to complement current single cell analysis and EV research.SignificanceExtracellular vesicles (EVs) are cell derived nano-sized particles medicating cell-cell communication and transferring biology information molecules like nucleic acids to regulate human health and disease. Conventional methods for EV surface markers profiling can’t tell the differences in the quantity and phenotypes of EVs secretion between cells. To address this need, we developed a platform for profiling an array of surface markers on EVs from large numbers of single cells, enabling more comprehensive monitoring of cellular communications. Single cell EVs secretion assay led to previously unobserved cell heterogeneity underlying EVs secretion, which might open up new avenues for studying cell communication and cell microenvironment in both basic and clinical research.


2021 ◽  
Vol 1 (1) ◽  
pp. 26-33
Author(s):  
María Gómez-Serrano ◽  
Christian Preußer ◽  
Kathrin Stelter ◽  
Elke Pogge von Strandmann

The characterization of extracellular vesicles (EVs) has evolved rapidly in recent years due to advances in straightforward technologies. Based on these more sensitive methods, it is now possible to describe EV populations in their entirety more precisely. However, these applications require an equivalently delicate experiment design and optimization steps to draw valid conclusions in the end. One of these methods is represented by the highly sensitive nanoflow cytometry (nFCM), by which particles can be analyzed not only on their size (< 40 nm) and concentration but also concerning surface markers. In this work, we addressed some of the potential caveats of this method, especially when characterizing particles with fluorescently labelled antibodies. In particular, we show, when using low particle concentrations, which are inevitably encountered when working with EVs, the characterization of surface markers is prone to significantly varying. We hypothesized that these technical limitations could respond to the stickiness of EVs and should be properly counteracted. As a reference, we strongly recommend performing particle number-based comparisons with at least 109 particles as staining input in nFCM analyses. Moreover, we provided representative particle-number based immunoblotting results, underlying the significance of this parameter as a normalizer in future EV research.


2020 ◽  
Vol 92 (15) ◽  
pp. 10274-10282 ◽  
Author(s):  
Andrea Ridolfi ◽  
Marco Brucale ◽  
Costanza Montis ◽  
Lucrezia Caselli ◽  
Lucia Paolini ◽  
...  

PLoS ONE ◽  
2015 ◽  
Vol 10 (11) ◽  
pp. e0142555 ◽  
Author(s):  
Yi Zhang ◽  
Rong-Rong Xiao ◽  
Tailang Yin ◽  
Wei Zou ◽  
Yun Tang ◽  
...  

2019 ◽  
Author(s):  
Kaylee Smith ◽  
Tae Hyun Kim ◽  
Costanza Paoletti ◽  
Douglas H. Thamm ◽  
Daniel F. Hayes ◽  
...  

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