The authors thank Particle Metrix GmbH for partially covering the publication costs of this work.

The institutional ethical board of the University of Dusseldorf has approved the experiments presented in this work (Reference number: 3381).
1. EV Isolation from Human Whole Blood
<ol>
	<li>Isolate EVs with exosome precipitation solution.
	<ol>
		<li>Collect 2 mL of human whole blood in serum-separating tubes (SST) via venipuncture and incubate the tube for 15 min at room temperature (RT) until coagulation is finished.</li>
		<li>Centrifuge the SST at 1,700 x g for 10 min at RT to separate cells from serum and transfer 1 mL of the serum to a 1.5 mL reaction tube. Centrifuge the platelet-rich plasma (PRP) at 3,000 x g for 15 min at 4 &#176;C to remove platelets and transfer 100 &#956;L of the platelet-poor plasma (PPP) to a new 1.5 mL reaction tube.</li>
		<li>Add 25 &#181;L of exosome precipitation solution (4 parts PPP, 1 part exosome precipitation solution) and vortex thoroughly. Incubate the sample for 30 min on ice. Keep the tube upright and do not rotate or mix the tube during the incubation period.</li>
		<li>Centrifuge the sample at 1,500 x g for 30 min at 4 &#176;C to pellet the EVs. After centrifugation, the EVs appear as a beige or white pellet at the bottom of the vessel. Aspirate the supernatant and centrifuge the sample at 1,500 x g for 5 min at 4 &#176;C.</li>
		<li>Remove all traces of fluid and re-suspend the pellet in 100 &#181;L of phosphate-buffered saline (PBS) by frequently pipetting up and down. Store the EV suspension at -80 &#176;C when analysis is not performed immediately. 
		Note: When isolating EVs from plasma, fibrinogen and fibrin can impede efficient recovery and resuspension is heavier and takes more time.</li>
	</ol>
	</li>
	<li>Isolate EVs with ultracentrifugation.
	<ol>
		<li>Take the pre-cooled rotor (TLA-55 fixed-angled) from the fridge and cool down the ultracentrifuge before use.</li>
		<li>Transfer 1.25 mL of PPP (prepared in step 1.1) to a suitable 1.5 mL ultracentrifugation tube with cap and centrifuge the sample at 110,000 x g for 90 min at 4 &#176;C. Make sure that the rotor load is balanced before starting.</li>
		<li>Decant the supernatant and place tube upside-down on a paper towel for 2 min. Re-suspend the pellet in 500 &#956;L of PBS and centrifuge the sample at 110,000 x g for 90 min at 4 &#176;C.</li>
		<li>Aspirate the supernatant and re-suspend the pellet in 50 &#956;L of PBS. 
		Note: Use only rotors and accessories designed for the ultracentrifuge that is in use. Pretest the tubes in the rotor by using water because the strength of the tubes can vary between lots.</li>
	</ol>
	</li>
</ol>
2. Staining of the Samples
<ol>
	<li>Stain samples with PKH67.
	<ol>
		<li>Prepare the staining solution by adding 1 &#956;L of the PKH67 ethanolic dye solution to 50 &#956;L of diluent C (included in the kit) in a 1.5 mL reaction tube and mix thoroughly.</li>
		<li>Transfer 10 &#956;L of the staining solution to 20 &#956;L of the EV suspension (prepared in step 1.1) to the reaction tube, mix thoroughly and incubate for 5 min at RT in the dark.</li>
		<li>Dilute 50 &#956;L of the stained EV suspension with 2.5 mL distilled water in a 15 mL reaction tube, mix thoroughly, and use this final suspension for particle measurement. 
		Note: It is crucial to use water as diluent for the EV suspension, because other diluents (e.g., PBS) can impair the measurement. When using stored EV-suspension, thaw the samples on ice and mix thoroughly before staining.</li>
	</ol>
	</li>
	<li>Stain samples with specific antibodies.
	<ol>
		<li>Dilute 10-20 &#956;L of the EV suspension (prepared in step 1.1) with 50 &#956;L of distilled water in a 1.5 mL reaction tube and mix thoroughly.</li>
		<li>Add 2.5-5 &#956;L of the specific antibody (Table 1) to the reaction tube, mix thoroughly, and incubate for 30 min at RT in the dark.</li>
		<li>Transfer 50 &#956;L of the stained EV suspension to 2.5-10 mL of distilled water (Table 1) in a 15 mL reaction tube, mix thoroughly, and use this final suspension for particle measurement. 
		Note: Under some circumstances, the concentration of the used antibody must be adjusted (Table 1).</li>
	</ol>
	</li>
</ol>
3. Processing of the Samples
Note: The fundamentals of this method were extensively described previously and below the protocol focuses on the specific steps needed for analysis of fluorescence-labeled EVs14.
<ol>
	<li>Perform the startup procedure.
	<ol>
		<li>Push the fluorescence filter into the optical path of the microscope and camera. Start the program and follow the instructions on the screen for automated implementation.</li>
		<li>Select the correct cell number (Z158_C1149_Fluor) in the &#8220;Cell Check&#8221; tab (cell definition) for fluorescence measurement. Select the reference position for the optics to make sure that laser and microscope are in a common focus (laser and microscope move to this position automatically).</li>
		<li>Flush the cell channel with a syringe filled with 10 mL of distilled water. Ensure that the measurement cell is free of air bubbles and do not inject air bubbles into the system.</li>
		<li>Prepare a calibration suspension containing uniform 200 nm sized fluorescence-labelled polystyrene particles that have carboxylate groups on their surface. Dilute 10 &#956;L of the particles with 990 &#956;L distilled water. Then dilute 10 &#956;L of this particle solution in a 15 mL tube with 10 mL of distilled water to obtain the required concentration.</li>
		<li>Inject 2.5 mL of the diluted particle solution in the cell channel and click &#8220;Optimize focus&#8221; to adjust the camera.</li>
	</ol>
	</li>
	<li>Measure the sample.
	<ol>
		<li>Flush the cell channel multiple times with a syringe filled with 10 mL of distilled water prior to each sample measurement. Inject the stained EV suspension (prepared in step 2) into the cell channel.</li>
		<li>Adjust the following main camera parameters in the &#8220;Cell Check&#8221; tab in the software as needed (Table 2). Use the reference position or position 0.41193 to adjust the parameters.
		<ol>
			<li>For sensitivity, find the optimal sensitivity range by clicking on the button &#8220;Number of Particles vs. Sensitivity&#8221; to display a curve of measured particles per screen for different sensitivity levels. 
			Note:</li>
			<li>For shutter, adjust the period of time that the camera allows light to pass for a determined interval.</li>
			<li>For post-acquisition parameters, choose a minimum brightness of 20, a minimum size of 20 nm, and a maximum size of 500 nm for measurement.</li>
		</ol>
		</li>
		<li>Note the number of detected particles counted in the field of vision from the display. The scattering bar must be in the green to orange range (50-300 particles). If the scattering bar is red, the scatter will fuse individual particles and they are counted as one single particle, thus leading to false results. In such a case, further dilute the sample to avoid overlapping of the particles or lower the sensitivity.</li>
		<li>Click on &#8220;Check particle drift at 0 V&#8221; in the &#8220;Cell Check&#8221; tab before starting the measurement. If the drift is higher than 5 &#956;m/s, wait until the sample stops flowing to continue the measurement. 
		Note: If the drift is too high at the beginning of the measurement, the repeated measurements can differ and sophisticate the results. Due to the underlying principles of NTA, a relevant drift may have an impact in the determined particle size, as calculated by the software.</li>
		<li>Click on &#8220;Run Video Acquisition&#8221; in the &#8220;Measurement&#8221; tab. Select the number of experiments (3-5) and the time delay between them (0 min).</li>
		<li>Define the number of (individual subvolume-) positions (11) and the number of (measurement) cycles (10) at each measurement position, where particles should be analyzed</li>
		<li>Select a folder, create a new file name, and click &#8220;OK&#8221; to start the measurement.</li>
	</ol>
	</li>
</ol>
4. Interpretation of the Results
<ol>
	<li>View the results and parameters on the &#8220;Analysis&#8221; tab after the measurement. Check the following parameters after the analysis before cleaning the cell channel: average number of particles per position, total number of traced particles and particle concentration, the distribution width of the particles (x10, x50, and x90 values), value of mean and standard deviation. Repeat the measurement of the sample if required. 
	Note: The results are also saved as a .pdf or .txt file.</li>
	<li>Click on &#8220;Analysis&#8221; tab to view the graph calculated after the measurement, which shows the distribution of the detected particles by size. Click on &#8220;Display&#8221; in the &#8220;Analysis&#8221; tab and use the icons to adjust and change the graph settings for particular requirements.</li>
</ol>
5. Validation via EV Detection by Western Blotting
<ol>
	<li>Dissolve the EV pellet (prepared in step 1) in RIPA lysis and extraction buffer, pipette thoroughly and incubate on ice for 30 min. Centrifuge the sample at 8,000 x g for 10 min at 4 &#176;C to clarify the lysate and transfer the supernatant to a new tube.</li>
	<li>Measure the total protein by a Lowry protein assay kit. Dilute 1 &#956;L of the isolated EV suspension with 49 &#956;L of RIPA buffer and use 5 &#956;L in triplicates for analysis. Dilute the EV suspension with 2x Laemmli loading buffer to a final concentration of 2 &#181;g/&#956;L and heat for 10 min at 95 &#176;C.</li>
	<li>Load 20 &#956;g of protein per well. Separate and transfer the proteins by polyacrylamide gel electrophoresis and tank blotting according to standard protocols.</li>
	<li>Block the membrane (0.2 &#956;m polyvinylidene difluoride) with bovine milk powder (5%) for 1 h at RT and incubate the membrane with specific primary antibodies (CD9, CD63, and vimentin) overnight at 4 &#176;C. 
	Note: The primary antibodies are used at a 1:1,000 dilution.</li>
	<li>Wash the membrane with TBST 3x 5 min and incubate the membrane with horseradish peroxidase (HRP)-conjugated secondary antibody (1:20,000 in TBST) for 60 min at RT.</li>
	<li>Wash the membrane with TBST 3x 5 min and detect the proteins by chemiluminescence with a high sensitivity substrate solution on an imaging system. 
	Note: Because CD63 antigen is extensively and variably glycosylated, the molecular weight can vary, and bands can appear between 40-65 kDa.</li>
</ol>

<ol><li>Ibrahim, A., Marban, E. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Exosomes%3A+Fundamental+Biology+and+Roles+in+Cardiovascular+Physiology%5BTitle%5D)+AND+%22Annual+Review+of+Physiology%22%5BJournal%5D)">Exosomes: Fundamental Biology and Roles in Cardiovascular Physiology.</a> Annual Review of Physiology. 78, 67-83 (2016).</li>
<li>Su, S. A., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Emerging+role+of+exosome-mediated+intercellular+communication+in+vascular+remodeling%5BTitle%5D)+AND+%22Oncotarget%22%5BJournal%5D)">Emerging role of exosome-mediated intercellular communication in vascular remodeling.</a> Oncotarget. 8 (15), 25700-25712 (2017).</li>
<li>Lasser, C., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Human+saliva%2C+plasma+and+breast+milk+exosomes+contain+RNA%3A+uptake+by+macrophages%5BTitle%5D)+AND+%22Journal+of+Translational+Medicine%22%5BJournal%5D)">Human saliva, plasma and breast milk exosomes contain RNA: uptake by macrophages.</a> Journal of Translational Medicine. 9, 9(2011).</li>
<li>Li, M., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Analysis+of+the+RNA+content+of+the+exosomes+derived+from+blood+serum+and+urine+and+its+potential+as+biomarkers%5BTitle%5D)+AND+%22Philosophical+Transactions+of+The+Royal+Society+B+Biological+Sciences%22%5BJournal%5D)">Analysis of the RNA content of the exosomes derived from blood serum and urine and its potential as biomarkers.</a> Philosophical Transactions of The Royal Society B Biological Sciences. 369 (1652), (2014).</li>
<li>Lin, J., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Exosomes%3A+novel+biomarkers+for+clinical+diagnosis%5BTitle%5D)+AND+%22The+Scientific+World+Journal%22%5BJournal%5D)">Exosomes: novel biomarkers for clinical diagnosis.</a> The Scientific World Journal. 2015, 657086(2015).</li>
<li>Properzi, F., Logozzi, M., Fais, S. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Exosomes%3A+the+future+of+biomarkers+in+medicine%5BTitle%5D)+AND+%22Biomarkers+in+Medicine%22%5BJournal%5D)">Exosomes: the future of biomarkers in medicine.</a> Biomarkers in Medicine. 7 (5), 769-778 (2013).</li>
<li>Thery, C., Zitvogel, L., Amigorena, S. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Exosomes%3A+composition%2C+biogenesis+and+function%5BTitle%5D)+AND+%22Nature+Reviews+Immunology%22%5BJournal%5D)">Exosomes: composition, biogenesis and function.</a> Nature Reviews Immunology. 2 (8), 569-579 (2002).</li>
<li>De Toro, J., Herschlik, L., Waldner, C., Mongini, C. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Emerging+roles+of+exosomes+in+normal+and+pathological+conditions%3A+new+insights+for+diagnosis+and+therapeutic+applications%5BTitle%5D)+AND+%22Frontiers+in+Immunology%22%5BJournal%5D)">Emerging roles of exosomes in normal and pathological conditions: new insights for diagnosis and therapeutic applications.</a> Frontiers in Immunology. 6, 203(2015).</li>
<li>Thery, C., Amigorena, S., Raposo, G., Clayton, A. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Isolation+and+characterization+of+exosomes+from+cell+culture+supernatants+and+biological+fluids%5BTitle%5D)+AND+%22Current+Protocols+in+Cell+Biology%22%5BJournal%5D)">Isolation and characterization of exosomes from cell culture supernatants and biological fluids.</a> Current Protocols in Cell Biology. , Chapter 3 Unit 3 22 (2006).</li>
<li>Inglis, H., Norris, P., Danesh, A. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Techniques+for+the+analysis+of+extracellular+vesicles+using+flow+cytometry%5BTitle%5D)+AND+%22Journal+of+Visualized+Experiments%22%5BJournal%5D)">Techniques for the analysis of extracellular vesicles using flow cytometry.</a> Journal of Visualized Experiments. (97), (2015).</li>
<li>Wu, Y., Deng, W., Klinke, D. J. 2nd <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Exosomes%3A+improved+methods+to+characterize+their+morphology%2C+RNA+content%2C+and+surface+protein+biomarkers%5BTitle%5D)+AND+%22Analyst%22%5BJournal%5D)">Exosomes: improved methods to characterize their morphology, RNA content, and surface protein biomarkers.</a> Analyst. 140 (19), 6631-6642 (2015).</li>
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The authors have nothing to disclose.

We demonstrate a detailed protocol for isolation of EVs from whole blood and fast characterization of specific surface markers with fluorescence-based nanoparticles tracking analysis. In the conducted experiments, we exclusively used EVs isolated from serum samples, but this method is also suitable for ethylenediaminetetraacetic acid (EDTA) and citrated plasma and can also be expanded to other bodily fluids such as urine, breast milk, saliva, cerebrospinal fluid, and semen. Moreover, this protocol can be adjusted for characterization of EVs from cell culture supernatants. In this protocol, the EV suspension was generated from 100 &#956;L of serum using an exosome precipitation reagent, which contains a proprietary polymer that gently precipitates exosomes and EVs according to a corpuscular size ranging from 30 nm to 200 nm, whereby 10-20 &#956;L of EVs were appointed for characterization of each surface marker. Unfortunately, the isolation step is inevitable, because the high amount of protein in serum samples (e.g., albumin and globulin) interferes with the antibody staining procedure and results in high level of background and sophisticated findings. Furthermore, based on the biological availability of the exosomes in the samples, the amount of the employed EV suspension as well as the dilution before processing must be adjusted for other source materials. To compare multiple samples, a standardized approach for the dilution of the samples as well as consistent acquisition parameters (sensitivity, shutter, etc.) is necessary. Another important point is that the measurements are not started until the drift is low (in our hands, &#60; 5 &#956;m/s). If the drift was too high, repeated measurements of the sample yielded high standard deviation among themselves, but with a low drift, the resulting data were highly consistent and confirmed a high level of reproducibility. It is important that the selected antibodies have an appropriate fluorochrome. Antibodies must be conjugated with Alexa Fluor 488, because FITC has a high rate of photo-bleaching. Possibly more stable fluophores will certainly lead to increased assay stability in the future. Normally, many researchers use PBS as a diluent for EVs. For this protocol, it is crucial to use distilled water as a diluent for the EV suspensions. When EVs are labeled with fluorescing dyes, the high osmolality and ion concentration of other diluents, such as PBS, can interfere with the measurement and lead to altered results.
While methods for analysis of EVs have been considerably improved over the last decade, there is still no standardized method for isolation and characterization of EVs. The major disadvantage of flow cytometry, where EVs are often bound to beads to provide a larger surface, is that many EVs dock onto the surface to provide a strong and detectable signal10. SEM and TEM have the disadvantage that the preparation of samples is time-consuming and EVs can only be distinguished by their size and morphology11. Up to date, the best-established and commonly used method for qualitative (i.e., biochemical) EV characterization is Western blotting, where proteins can be analyzed with specific antibodies12,13. However, the disadvantages of all these methods lie in the inability to analyze single EVs for specific surface markers. Furthermore, the long processing times and long washing/isolation procedures used by many of the current protocols involve labor-intensive steps, making them not suitable for high sample throughput and characterization of single EVs.Our protocol provides a complete workflow for quick isolation and characterization of single EVs with specific surface markers such as CD63, CD9, vimentin, and CD107a, and can be expanded for a broad spectrum of other surface markers to determine the origin of released EVs. Because of a permanent technical advancement of the NTA device, we confirmed our findings in cooperation with the manufacturer with the newest analyzer. Irrespective of the future progress of research on EV biology, particularly concerning exosomes, the protocol that is presented here will provide a rapid and reliable method for characterization of single EVs with specific markers. Because aggregation of EVs during the isolation and staining procedure is so far unavoidable, future research should focus on developing methods to prevent EV aggregation and enable an accurate size determination of fluorescent-labeled EVs.

Extracellular vesicles (EVs), including exosomes, are specialized membranous nano-sized vesicles (20-150 nm) containing certain combinations of lipids, adhesion and intercellular signaling molecules, as well as other functional cytosolic components like microRNA (miRNA) and mRNA, and play a pivotal role in regulating cell-cell communication1,2. EVs are released in their environment from many different cell types, e.g., endothelial cells, immune cells, and tumor cells, and can be detected in body fluids such as serum semen, urine, breast milk, saliva, or cerebrospinal fluid3,4. Increasing numbers of studies highlight the diverse contribution of EVs as potential biomarkers for early diagnosis of several diseases and/or prediction of disease progression5,6. Exosomes are often described by the presence of molecules that they are specifically associated with, regardless of the cell type they derive from7. For example, exosomes contain different tetraspanins (CD9, CD63, CD81), major histocompatibility complex class I (MHC I) molecules, various transmembrane proteins, typical cytosolic proteins (tubulin and actin), molecules involved in multivesicular body (MVB) biogenesis (TSG101 and alix), heat shock proteins (HSP 70 and HSP 90), and proteins that participate in signal transduction (protein kinases)8.
Many different methods have been described for the characterization of EVs9. The most common and prevalent methods used for EV analysis are flow cytometry10, scanning electron microscopy (SEM), and transmission electron microscopy (TEM)11. The best-established and commonly used method for the biochemical characterization of EV content is Western blotting12,13. While SEM and TEM allow for the detection of EVs across the entire size spectrum, the very limited identification of specific surface proteins is a particular disadvantage of these methods. In contrast, flow cytometry is a powerful tool for identification of specific EV surface markers, but the threshold of this method limits the analysis to EVs with a size greater than 500 nm. Hence, analysis of isolated EVs with detection of specific surface markers is currently not accessible through any of these three well-established methods. We previously described another highly sensitive method for visualization and analysis of EVs, nanoparticle-tracking analysis (NTA)14. Briefly, this method combines two different physical principles. First, particles scatter light when they are irradiated with a laser beam, and the second principle, known as Brownian motion, implies that diffusion of different particles in a liquid suspension is inversely proportional to their size. The semi-automated desktop nanoparticle analysis instrument for liquid samples consists of the particle tracking analyzer with a software-based analysis, where digital images of scattered light from single particles are recorded. The particles and the movement of the particles are detected by a laser scattering microscope with a video camera. The laser beam is oriented vertically, while the optical axis is horizontal and focused into the cell channel filled with the sample. The data provided by plots of scattered light spots and their speed of motion enable the determination of total particle count and size distribution. After irradiation by the laser, the particles scatter the light, which is recorded by a digital video camera via the microscope14. The advancement to our former method is the insertion of a 500 nm long wave-pass (LWP) cut-off filter between the laser (wavelength of 488 nm) and the cell channel, which enables the direct analysis of fluorescence-labeled particles (Figure 1). Our protocol addresses the common demand of many researchers in this field for a fast characterization of single EVs, e.g., according to their parental origin. In this protocol, we describe the complete workflow for rapid isolation of EVs from human whole blood and fast characterization of specific markers by fluorescence-based nanoparticles-tracking analysis. EVs can be detected by staining with PKH67, a general cell membrane linker, as well as with specific exosomal markers, e.g., CD63, CD9, and vimentin. Our protocol is also suitable for EDTA and citrated plasma, as well as other body fluids and cell culture supernatants.

<table><tbody><tr><td>Serum-separation tube</td><td>BD</td><td>366882</td><td>BD Vacutainer</td></tr><tr><td>Ampuwa water</td><td>Fresenius Kabi</td><td>10060</td><td></td></tr><tr><td>Dulbecco&#039;s phosphate-buffered saline</td><td>Sigma</td><td>56064C</td><td></td></tr><tr><td>Falcon tube, 15 mL</td><td>Greiner Bio One</td><td>188271</td><td></td></tr><tr><td>Falcon tube, 50 mL</td><td>Greiner Bio One</td><td>227270</td><td></td></tr><tr><td>Microcentrifuge tube, 1.5 mL</td><td>Eppendorf</td><td>30120086</td><td>Speciality tubes for ultra centrifugation</td></tr><tr><td>Tube with Snap-On Cap 1.5 mL</td><td>Beckman Coulter</td><td>357448</td><td></td></tr><tr><td>Polybeads Microspheres 0.2 &amp;micro;m</td><td>Polysciences, Inc.</td><td>7304</td><td>Alignment Solution</td></tr><tr><td>Fluoresbrite YG Carboxylate Microspheres beads 0.2 &amp;micro;m</td><td>Polysciences, Inc.</td><td>09834-10</td><td>Alignment Solution</td></tr><tr><td>Syringe, 2 mL</td><td>Braun</td><td>4606027V</td><td></td></tr><tr><td>Syringe, 10 mL</td><td>Braun</td><td>4606728V</td><td></td></tr><tr><td>Exoquick</td><td>SBI</td><td>EXOQ20A-1</td><td>EV precipitation solution</td></tr><tr><td>Laemmli Sample Buffer (2x)</td><td>BioRad</td><td>1610737</td><td></td></tr><tr><td>DC Protein Assay Kit II</td><td>BioRad</td><td>5000112</td><td>Lowry prtein assay</td></tr><tr><td>PKH67 Green Fluorescent Cell Linker Kit</td><td>Sigma</td><td>PKH67GL-1KT</td><td>For general membrane labelling</td></tr><tr><td>Alexa Fluor 488 anti-human CD107a Antibody</td><td>BioLegend</td><td>328609</td><td>Lysosomal-associated membrane protein-1 (LAMP-1)</td></tr><tr><td>Human CD9-Alexa Fluor 488</td><td>R&amp;amp;D Systems</td><td>FAB1880G</td><td></td></tr><tr><td>Anti-CD9 Antibody</td><td>SBI</td><td>EXOAB-CD9A-1</td><td></td></tr><tr><td>CD63-Alexa Fluor 488</td><td>ThermoFisher</td><td>MA5-18149</td><td></td></tr><tr><td>FITC anti-human CD63 Antibody</td><td>BioLegend</td><td>353005</td><td></td></tr><tr><td>CD63. Antibody, polyclonal</td><td>SantaCruz</td><td>Sc-15363</td><td></td></tr><tr><td>Alexa Fluor 488 anti-vimentin Antibody</td><td>BioLegend</td><td>677809</td><td></td></tr><tr><td>Anti-Vimentin Antibody</td><td>SBI</td><td>EXOAB-VMTN-1</td><td></td></tr><tr><td>Goat anti mouse IgG + IgM</td><td>Jackson Immuno</td><td>315-035-048</td><td></td></tr><tr><td>Goat anti rabbit IgG</td><td>Dianova</td><td>111-035-003</td><td></td></tr><tr><td>SuperSignal West Femto Maximum Sensitivity Substrate</td><td>ThermoFisher</td><td>34094</td><td></td></tr><tr><td>ZetaView</td><td>Particle Metrix</td><td>PMX 100, Type</td><td></td></tr><tr><td>Centrifuge</td><td>Eppendorf</td><td>5804R</td><td></td></tr><tr><td>Ultracentrifuge</td><td>Beckman Coulter</td><td>Optima MAX-XP</td><td></td></tr><tr><td>Chemiluminescence Imager</td><td>GE Healthcare</td><td>Amersham Imager 600</td><td></td></tr></tbody></table>

rapid fluorescence-based characterization of single extracellular vesicles in human blood with nanoparticle-tracking analysis

Extracellular vesicles (EVs), including exosomes, are specialized membranous nano-sized vesicles found in bodily fluids that are constitutively released from many cell types and play a pivotal role in regulating cell-cell communication and a diverse range of biological processes. Many different methods for the characterization of EVs have been described. However, most of these methods have the disadvantage that the preparation and characterization of the samples are very time-consuming, or it is extremely difficult to analyze specific markers of interest due to their small size and due to the lack of discrete populations. While methods for analysis of EVs have been considerably improved over the last decade, there is still no standardized method for characterization of single EVs. Here, we demonstrate a semi-automated method for characterization of single EVs by fluorescence-based nanoparticle-tracking analysis. The protocol that is presented addresses the common problem of many researchers in this field and provides the complete workflow for rapid isolation of EVs and characterization with PKH67, a general cell membrane linker, as well as with specific surface markers such as CD63, CD9, vimentin, and lysosomal-associated membrane protein 1 (LAMP-1). The presented results show a high level of reproducibility, as confirmed by other methods, such as Western blotting. In the conducted experiments, we exclusively used EVs isolated from human serum samples, but this method is also suitable for plasma or other body fluids and can be adjusted for characterization of EVs from cell culture supernatants. Irrespective of the future progress of research on EV biology, the protocol that is presented here provides a rapid and reliable method for rapid characterization of single EVs with specific markers.

EVs were isolated from whole blood and characterized by nanoparticle tracking analysis with fluorescing reagents. The optimal sensitivity for measurement of unstained particles was identified to range at 70% during our experiments. The fluorescent beads used for adjustment and calibration of the measurement showed an optimum setting at a sensitivity of 85% (Figure 2A). Between a sensitivity of 70% and 90%, the number of detected particles increased rapidly, while further increasing the sensitivity can lead to a deterioration of the particle size distribution where the number of particles is re-dropping. The settings of the camera displayed a sharp picture (Figure 2B) and repeated measurements showed low standard deviation (Figure 2C). Insofar, the protocol for processing the samples of EVs was adjusted so that all measurements could be conducted with the same settings (Table 2). The distribution width is defined by three values on the x-axis, the x10, x50, and x90. The x50, or median particle size is the diameter at which half of the population lies below this value. Similarly, the x10 and x90 indicate the diameter at which 10% and 90% of the detected particles are under the reported size. Staining with PKH67 cell linker kit, including a fluorescent cell linker that incorporates a green fluorescent dye with long aliphatic tails into lipid regions of the cell membrane, demonstrated a strong correlation between the sensitivity and the number of particles measured (Figure 3A). PKH67 is often used for proliferation monitoring but has also proven useful for monitoring exosome or liposome uptake as well as for in vivo cell trafficking. Due to the non-specific labeling of PKH67, a wide variety of EVs can be labeled and detected. The distribution of the particles was in a range between 266 nm (x10) and 1946 nm (x90) with a peak maximum at 857 nm (x50) and with a low standard deviation between the measurements (28.1 nm). LAMP-1, also known as lysosome-associated membrane glycoprotein 1, and CD107a reside primarily across lysosomal membranes. After staining with an Alexa Fluor 488 labeled specific antibody against LAMP-1, the distribution of the particles ranges from 220 nm (x10) to 1145 nm (x90) with a peak maximum at 541 nm (x50) and a standard deviation of 11.7 nm (Figure 3B). For characterization of EVs, we used Alexa Fluor 488 labeled antibodies against common exosomal markers and confirmed our findings by Western blotting. After staining with Alexa Fluor 488-labeled CD9-antibody, the distribution of the particles ranges from 251 nm (x10) to 1139 nm (x90) with a peak maximum at 548 nm and a second minor peak at approximately 25 nm (Figure 4A). Staining with Alexa Fluor 488 labeled CD63 (Figure 4B) and vimentin (Figure 4C) yielded similar results. Western blotting analysis substantiated our positive result for antibodies used here. Repeated measurements showed reproducible results for all antibodies used in this report. As controls, we stained vesicle-free water with respective antibodies (Figure 5A), where PKH67 and LAMP1 antibodies virtually detected no EV up to a sensitivity close to 100%. Using the example of vimentin, high sensitivity increased the number of emerging artefacts, even when the sample is essentially free of particles. If measurement is started when the drift is yet too high (&#62; 5 &#181;m/s), the individual repetitions distinctly deviate among themselves (Figure 5B). As represented with three different antibodies, it is crucial that the drift is as minimal as possible before starting the measurement. According to our experience, using fluorescein isothiocyanate (FITC) as fluorochrome results in measurements that are not accurate and reproducible because FITC is prone to rapid photo bleaching (Figure 5C). Therefore, we recommend using exclusively Alexa Fluor 488 labeled antibodies for EV characterization. In this protocol, EVs were isolated by a polymer-based exosome precipitation solution containing polyethylene glycol. To ensure that our results are not falsified by the applied isolation method, we characterized EVs after isolation with ultracentrifugation. As represented with PKH67 and two different antibodies (CD63 and LAMP-1), the results of our applied isolation with exosome precipitation solution (Figure 6A) are comparable with EVs isolated via ultracentrifugation (Figure 6B). Unfortunately, because of the poor yield of EVs after ultracentrifugation, the initial set of serum for isolation must be distinctly higher compared to isolation with exosome precipitation solution.
<img alt="Figure 1" class="xfigimg" src="/files/ftp_upload/58731/58731fig1.jpg" /> 
Figure 1: Schematic setup of the nanoparticle tracking analysis. The microscope/video axis and laser beam are orientated orthogonally to each other, crossing at the cell channel cross section. A fluorescence filter is placed between the cell channel and the microscope. Light scattered by the particles is displayed in the &#34;live-view&#34; window of the software. After acquisition, the results are displayed as a size distribution curve coordinate system. <a href="https://www.jove.com/files/ftp_upload/58731/58731fig1large.jpg" target="_blank">Please click here to view a larger version of this figure.</a>
<img alt="Figure 2" class="xfigimg" src="/files/ftp_upload/58731/58731fig2.jpg" /> 
Figure 2: Calibration with fluorescence labeled beads. (A)&#160;The number of particles vs. sensitivity curve displays the particles in one position at one point in time during an automatic sensitivity scan. (B) Visualization of particles on the live view screen. (C) Particle size distribution after repeated measurements. <a href="https://www.jove.com/files/ftp_upload/58731/58731fig2large.jpg" target="_blank">Please click here to view a larger version of this figure.</a>
<img alt="Figure 3" class="xfigimg" src="/files/ftp_upload/58731/58731fig3.jpg" /> 
Figure 3: Representative results after staining with PKH67 and LAMP-1. Number of particles vs. sensitivity curve (1), visualization of particles on the live view screen (2), and particle size distribution (3) after staining with PKH67 (A) and LAMP-1 (B). A similar size distribution of particles is observed, while changes in the sensitivity setting lead to a similar but yet not entirely identical change of detected particles. <a href="https://www.jove.com/files/ftp_upload/58731/58731fig3large.jpg" target="_blank">Please click here to view a larger version of this figure.</a>
<img alt="Figure 4" class="xfigimg" src="/files/ftp_upload/58731/58731fig4.jpg" /> 
Figure 4: Representative results after staining with Alexa Fluor 488 labeled CD9, CD63, and vimentin. Number of particles vs. sensitivity curve (1), visualization of particles on the live view screen (2), particle size distribution (3), and representative Western blots of two different EV suspensions (4) for CD9 (24-27 kDa, A), CD63 (26 kDa, B), and vimentin (54 kDa, C). Late occurrence of particle signals along the increasing sensitivity (x-axis) correlates with lower signal intensity in the Western blot analysis, confirming the lower amount of the respective particle surface marker (e.g., vimentin vs. CD63). Note the almost identical curves of representative measurements for all analyzed markers indicating high reproducibility (3). <a href="https://www.jove.com/files/ftp_upload/58731/58731fig4large.jpg" target="_blank">Please click here to view a larger version of this figure.</a>
<img alt="Figure 5" class="xfigimg" src="/files/ftp_upload/58731/58731fig5.jpg" /> 
Figure 5: Representative results for used controls and possible error sources. (A) Vesicle-free water stained with PKH67 (1), LAMP-1 (2), and vimentin (3) as controls. (B) Representative particle size distributions after staining with LAMP-1 (1), CD63 (2), and CD9 (3), and measurements performed when suspension drift is yet too high. (C) Number of particles vs. sensitivity curve (1) and particle size distribution (2) after staining with FITC-labelled CD63 antibody. A clear bleaching effect is observed after each measurement, resulting in progressively lower particle numbers. <a href="https://www.jove.com/files/ftp_upload/58731/58731fig5large.jpg" target="_blank">Please click here to view a larger version of this figure.</a>
<img alt="Figure 6" class="xfigimg" src="/files/ftp_upload/58731/58731fig6.jpg" /> 
Figure 6: Comparison of different isolation methods for EVs. Particle size distribution of EVs isolated with exosome precipitation solution (A) and ultracentrifugation (B) after staining with PKH67 (1), LAMP-1 (2), and CD63 (3). <a href="https://www.jove.com/files/ftp_upload/58731/58731fig6large.jpg" target="_blank">Please click here to view a larger version of this figure.</a>
<table border="1" fo:keep-together.within-page="1" fo:keep-with-next.within-page="always">
	<tbody>
		<tr>
			<td></td>
			<td>LAMP-1</td>
			<td>CD9</td>
			<td>CD63</td>
			<td>Vimentin</td>
		</tr>
		<tr>
			<td>Antibody (&#181;L)</td>
			<td>5</td>
			<td>2.5-5</td>
			<td>2.5-5</td>
			<td>5</td>
		</tr>
		<tr>
			<td>EV suspension (&#181;L)</td>
			<td>10</td>
			<td>20</td>
			<td>10</td>
			<td>10</td>
		</tr>
		<tr>
			<td>H2O (&#181;L) for staining</td>
			<td>50</td>
			<td>50</td>
			<td>50</td>
			<td>50</td>
		</tr>
		<tr>
			<td>Final volume (mL)</td>
			<td>5-10</td>
			<td>2.5-5</td>
			<td>5</td>
			<td>10</td>
		</tr>
	</tbody>
</table>
Table 1: List of used antibodies and dilution range of samples. 

<table border="1" fo:keep-together.within-page="1" fo:keep-with-next.within-page="always">
	<tbody>
		<tr>
			<td>Acquisition parameters</td>
			<td></td>
		</tr>
		<tr>
			<td>Sensitivity (%)</td>
			<td>85</td>
		</tr>
		<tr>
			<td>Shutter</td>
			<td>70</td>
		</tr>
		<tr>
			<td>Min. Brightness</td>
			<td>20</td>
		</tr>
		<tr>
			<td>Max. Size (nm)</td>
			<td>500</td>
		</tr>
		<tr>
			<td>Min. Size (nm)</td>
			<td>20</td>
		</tr>
		<tr>
			<td>Polarity</td>
			<td>Negative</td>
		</tr>
		<tr>
			<td>Voltage</td>
			<td>Off</td>
		</tr>
		<tr>
			<td>Particle drift at 0 V (&#181;m/s)</td>
			<td>&#60; 5</td>
		</tr>
		<tr>
			<td>Positions</td>
			<td>11</td>
		</tr>
		<tr>
			<td>Cycles</td>
			<td>10</td>
		</tr>
		<tr>
			<td>Multiple acquisitions</td>
			<td>3-5</td>
		</tr>
		<tr>
			<td>Time delay (min)</td>
			<td>0</td>
		</tr>
	</tbody>
</table>
Table 2: Acquisition parameters for nanoparticle tracking analysis.

Watch this Scientific Journal Video about Rapid Fluorescence-based Characterization of Single Extracellular Vesicles in Human Blood with Nanoparticle-tracking Analysis at JoVE.com

Rapid Fluorescence-based Characterization of Single Extracellular Vesicles in Human Blood with Nanoparticle-tracking Analysis

In this protocol, we describe the complete workflow for rapid isolation of extracellular vesicles from human whole blood and characterization of specific markers by fluorescence-based nanoparticle-tracking analysis. The presented results show a high level of reproducibility and can be adjusted to cell culture supernatants.

Extracellular vesicles (EVs), including exosomes, are specialized membranous nano-sized vesicles found in bodily fluids that are constitutively released ...

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Biochemistry

9.7K Views.  Heinrich-Heine-University. In this protocol, we describe the complete workflow for rapid isolation of extracellular vesicles from human whole blood and characterization of specific markers by fluorescence-based nanoparticle-tracking analysis. The presented results show a high level of reproducibility and can be adjusted to cell culture supernatants.

Video: Rapid Fluorescence-based Characterization of Single Extracellular Vesicles in Human Blood with Nanoparticle-tracking Analysis

Quantification and Size-profiling of Extracellular Vesicles Using Tunable Resistive Pulse Sensing

Extracellular vesicles (EVs), including &#8216;microvesicles&#8217; and &#8216;exosomes&#8217;, are highly abundant in bodily fluids. Recent years have witnessed a tremendous increase in interest in EVs. EVs have been shown to play important roles in various physiological and pathological processes, including coagulation, immune responses, and cancer. In addition, EVs have potential as therapeutic agents, for instance as drug delivery vehicles or as regenerative medicine. Because of their small size (50 to 1,000 nm) accurate quantification and size profiling of EVs is technically challenging.
This protocol describes how tunable resistive pulse sensing (tRPS) technology, using the qNano system, can be used to determine the concentration and size of EVs. The method, which relies on the detection of EVs upon their transfer through a nano sized pore, is relatively fast, suffices the use of small sample volumes and does not require the purification and concentration of EVs. Next to the regular operation protocol an alternative approach is described using samples spiked with polystyrene beads of known size and concentration. This real-time calibration technique can be used to overcome technical hurdles encountered when measuring EVs directly in biological fluids.

Extracellular vesicles play important roles in physiological and pathological processes, including coagulation, immune responses, and cancer or as potential therapeutic agents in drug delivery or regenerative medicine. This protocol presents methods for the quantification and size characterization of isolated and non-isolated extracellular vesicles in various fluids using tunable resistive pulse sensing.

Extracellular vesicles (EVs), including &#8216;microvesicles&#8217; and &#8216;exosomes&#8217;, are highly abundant in bodily fluids. Recent years have ...

Bioengineering

Flow Virometry to Analyze Antigenic Spectra of Virions and Extracellular Vesicles

Cells release small extracellular vesicles (EVs) into the surrounding media. Upon virus infection cells also release virions that have the same size of some of the EVs. Both virions and EVs carry proteins of the cells that generated them and are antigenically heterogeneous. In spite of their diversity, both viruses and EVs were characterized predominantly by bulk analysis. Here, we describe an original nanotechnology-based high throughput method that allows the characterization of antigens on individual small particles using regular flow cytometers. Viruses or extracellular vesicles were immunocaptured with 15 nm magnetic nanoparticles (MNPs) coupled to antibodies recognizing one of the surface antigens. The captured virions or vesicles were incubated with fluorescent antibodies against other surface antigens. The resultant complexes were separated on magnetic columns from unbound antibodies and analyzed with conventional flow cytometers triggered on fluorescence. This method has wide applications and can be used to characterize the antigenic composition of any viral- and non-viral small particles generated by cells in vivo and in vitro. Here, we provide examples of the usage of this method to evaluate the distribution of host cell markers on individual HIV-1 particles, to study the maturation of individual Dengue virions (DENV), and to investigate extracellular vesicles released into the bloodstream.

Viruses or extracellular vesicles were immunocaptured with 15 nm magnetic nanoparticles coupled to antibodies recognizing surface antigens. The captured virions or vesicles were labeled with fluorescent antibodies against other surface antigens. The resultant complexes were separated in high magnetic field and analyzed with conventional flow cytometers triggered on fluorescence.

Cells release small extracellular vesicles (EVs) into the surrounding media. Upon virus infection cells also release virions that have the same size of ...

Immunology and Infection

Using Nanoplasmon-Enhanced Scattering and Low-Magnification Microscope Imaging to Quantify Tumor-Derived Exosomes

Infected or malignant cells frequently secrete more exosomes, leading to elevated levels of disease-associated exosomes in the circulation. These exosomes have the potential to serve as biomarkers for disease diagnosis and to monitor disease progression and treatment response. However, most exosome analysis procedures require exosome isolation and purification steps, which are usually time-consuming and labor-intensive, and thus of limited utility in clinical settings. This report describes a rapid procedure to analyze specific biomarkers on the outer membrane of exosomes without requiring separate isolation and purification steps. In this method, exosomes are captured on the surface of a slide by exosome-specific antibodies and then hybridized with nanoparticle-conjugated antibody probes specific to a disease. After hybridization, the abundance of the target exosome population is determined by analyzing low-magnification dark-field microscope (LMDFM) images of the bound nanoparticles. This approach can be easily adopted for research and clinical use to analyze membrane-associated exosome biomarkers linked to disease.

Clinical translation of exosome-derived biomarkers for diseased and malignant cells is hindered by the lack of rapid and accurate quantification methods. This report describes the use of low-magnification dark-field microscope images to quantify specific exosome subtypes in small volume serum or plasma samples.

Infected or malignant cells frequently secrete more exosomes, leading to elevated levels of disease-associated exosomes in the circulation. These exosomes ...

Techniques for the Analysis of Extracellular Vesicles Using Flow Cytometry

Extracellular Vesicles (EVs) are small, membrane-derived vesicles found in bodily fluids that are highly involved in cell-cell communication and help regulate a diverse range of biological processes. Analysis of EVs using flow cytometry (FCM) has been notoriously difficult due to their small size and lack of discrete populations positive for markers of interest. Methods for EV analysis, while considerably improved over the last decade, are still a work in progress. Unfortunately, there is no one-size-fits-all protocol, and several aspects must be considered when determining the most appropriate method to use. Presented here are several different techniques for processing EVs and two protocols for analyzing EVs using either individual detection or a bead-based approach. The methods described here will assist with eliminating the antibody aggregates commonly found in commercial preparations, increasing signal&#8211;to-noise ratio, and setting gates in a rational fashion that minimizes detection of background fluorescence. The first protocol uses an individual detection method that is especially well suited for analyzing a high volume of clinical samples, while the second protocol uses a bead-based approach to capture and detect smaller EVs and exosomes.

Many different methods exist for the measurement of extracellular vesicles (EVs) using flow cytometry (FCM). Several aspects should be considered when determining the most appropriate method to use. Two protocols for measuring EVs are presented, using either individual detection or a bead-based approach.

Extracellular Vesicles (EVs) are small, membrane-derived vesicles found in bodily fluids that are highly involved in cell-cell communication and help ...

Biology

Flow Cytometric Analysis of Extracellular Vesicles from Cell-conditioned Media

Flow cytometry (FC) is the method of choice for semi-quantitative measurement of cell-surface antigen markers. Recently, this technique has been used for phenotypic analyses of extracellular vesicles (EV) including exosomes (Exo) in the peripheral blood and other body fluids. The small size of EV mandates the use of dedicated instruments having a detection threshold around 50-100 nm. Alternatively, EV can be bound to latex microbeads that can be detected by FC. Microbeads, conjugated with antibodies that recognize EV-associated markers/Cluster of Differentiation CD63, CD9, and CD81 can be used for EV capture. Exo isolated from CM can be analyzed with or without pre-enrichment by ultracentrifugation. This approach is suitable for EV analyses using conventional FC instruments. Our results demonstrate a linear correlation between Mean Fluorescence Intensity (MFI) values and EV concentration. Disrupting EV through sonication dramatically decreased MFI, indicating that the method does not detect membrane debris. We report an accurate and reliable method for the analysis of EV surface antigens, which can be easily implemented in any laboratory.

The protocol describes a reproducible method designed for use with cell culture supernatants to detect surface epitopes on small extracellular vesicles (EV). It utilizes specific EV immunoprecipitation using beads coupled with antibodies that recognize surface antigen CD9, CD63, and CD81. The method is optimized for downstream flow cytometry analysis.

Flow cytometry (FC) is the method of choice for semi-quantitative measurement of cell-surface antigen markers. Recently, this technique has been used for ...

Nanoparticle Tracking Analysis for the Quantification and Size Determination of Extracellular Vesicles

The physiological and pathophysiological roles of extracellular vesicles (EVs) have become increasingly recognized, making the EV field a quickly evolving area of research. There are many different methods for EV isolation, each with distinct advantages and disadvantages that affect the downstream yield and purity of EVs. Thus, characterizing the EV prep isolated from a given source by a chosen method is important for interpretation of downstream results and comparison of results across laboratories. Various methods exist for determining the size and quantity of EVs, which can be altered by disease states or in response to external conditions. Nanoparticle tracking analysis (NTA) is one of the prominent technologies used for high-throughput analysis of individual EVs. Here, we present a detailed protocol for quantification and size determination of EVs isolated from mouse perigonadal adipose tissue and human plasma using a breakthrough technology for NTA representing major advances in the field. The results demonstrate that this method can deliver reproducible and valid total particle concentration and size distribution data for EVs isolated from different sources using different methods, as confirmed by transmission electron microscopy. The adaptation of this instrument for NTA will address the need for standardization in NTA methods to increase rigor and reproducibility in EV research.

We demonstrate how to use a novel nanoparticle tracking analysis instrument to estimate the size distribution and total particle concentration of extracellular vesicles isolated from mouse perigonadal adipose tissue and human plasma.

The physiological and pathophysiological roles of extracellular vesicles (EVs) have become increasingly recognized, making the EV field a quickly evolving ...

Extracellular Vesicle Uptake Assay via Confocal Microscope Imaging Analysis

There is a need for practical assays to visualize and quantify the cells' extracellular vesicle (EV) uptake. EV uptake plays a role in intercellular communication in various research fields; cancer biology, neuroscience, and drug delivery. Many EV uptake assays have been reported in the literature; however, there is a lack of practical, detailed experimental methodology. EV uptake can be assessed by fluorescently labeling EVs to detect their location within cells. Distinguishing between internalized EVs in cells and the superficial EVs on cells is difficult, yet critical, to accurately determine the EV uptake. Therefore, an assay that efficiently quantifies EV uptake through three-dimensional (3D) fluorescence confocal microscopy is proposed in this work. Fluorescently labeled EVs were prepared using a nano-filtration-based microfluidic device, visualized by 3D confocal microscopy, and then analyzed through advanced image-processing software. The protocol provides a robust methodology for analyzing EVs on a cellular level and a practical approach for efficient analysis.

Extracellular Vesicle Uptake Assay via Confocal Microscope Imaging Analysis

Extracellular vesicles (EVs) contribute to cellular biology and intercellular communications. There is a need for practical assays to visualize and quantify EVs uptake by the cells. The current protocol proposes the EV uptake assay by utilizing three-dimensional fluorescence imaging via confocal microscopy, following EV isolation by a nano-filtration-based microfluidic device.

There is a need for practical assays to visualize and quantify the cells' extracellular vesicle (EV) uptake. EV uptake plays a role in intercellular ...

Single-Particle Interferometric Reflectance Imaging Characterization of Individual Extracellular Vesicles and Population Dynamics

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.

Extracellular vesicles (EVs) are nanometer-sized vesicles with a lipid bilayer that are secreted by most cells. EVs carry a multitude of different ...

Single Extracellular Vesicle Transmembrane Protein Characterization by Nano-Flow Cytometry

Single particle characterization has become increasingly relevant for research into extracellular vesicles, progressing from bulk analysis techniques and first-generation particle analysis to comprehensive multi-parameter measurements such as nano-flow cytometry (nFCM). nFCM is a form of flow cytometry that utilizes instrumentation specifically designed for nano-particle analysis, allowing for thousands of EVs to be characterized per minute both with and without the use of staining techniques. High resolution side scatter (SS) detection allows for size and concentration to be determined for all biological particles larger than 45 nm, while simultaneous fluorescence (FL) detection identifies the presence of labeled markers and targets of interest. Labeled subpopulations can then be described in quantitative units of particles/mL or as a percentage of the total particles identified by side scatter.
Here, EVs derived from conditioned cell culture media (CCM) are labeled with both a lipid dye, to identify particles with a membrane, and antibodies specific for CD9, CD63, and CD81 as common EV markers. Measurements of comparison material, a concentration standard and a size standard of silica nanospheres, as well as labeled sample material are analyzed in a 1-minute analysis. The software is then used to measure the concentration and size distribution profile of all particles, independent of labeling, before determining the particles that are positive for each of the labels.
Simultaneous SS and FL detection can be utilized flexibly with many different EV sources and labeling targets, both external and internal, describing EV samples in a comprehensive and quantitative manner.

The latest generation of EV characterization tools are capable of single EV analysis across multiple parameters simultaneously. Nano-flow cytometry measures all biological particles larger than 45 nm without labeling and identifies specific characteristics of subpopulations by a variety of fluorescent labeling techniques.

Single particle characterization has become increasingly relevant for research into extracellular vesicles, progressing from bulk analysis techniques and ...

Multimodal Analytical Platform on a Multiplexed Surface Plasmon Resonance Imaging Chip for the Analysis of Extracellular Vesicle Subsets

Extracellular vesicles (EVs) are membrane-derived, tiny vesicles produced by all cells that range from 50 to several hundreds of nanometers in diameter and are used as a means of intercellular communication. They are emerging as promising diagnostic and therapeutic tools for a variety of diseases. There are two main biogenesis processes used by cells to produce EVs with differences in size, composition, and content. Due to their high complexity in size, composition, and cell origin, their characterization requires a combination of analytical techniques. This project involves the development of a new generation of multiparametric analytical platforms with increased throughput for the characterization of subpopulations of EVs. To achieve this goal, the work starts from the nanobioanalytical platform (NBA) established by the group, which allows an original investigation of EVs based on a combination of multiplexed biosensing methods with metrological and morphomechanical analyses by atomic force microscopy (AFM) of vesicular targets trapped on a microarray biochip. The objective was to complete this EV investigation with a phenotypic and molecular analysis by Raman spectroscopy. These developments enable the proposal of a multimodal and easy-to-use analytical solution for the discrimination of EV subsets in biological fluids with clinical potential

This paper proposes a new generation of multiparametric analytical platforms with increased throughput for the characterization of extracellular vesicle subsets. The method is based on a combination of multiplexed biosensing methods with metrological and morphomechanical analyses by atomic force microscopy, coupled with Raman spectroscopy, to qualify vesicular targets trapped on a microarray biochip.

Extracellular vesicles (EVs) are membrane-derived, tiny vesicles produced by all cells that range from 50 to several hundreds of nanometers in diameter ...

Rapid Fluorescence-based Characterization of Single Extracellular Vesicles in Human Blood with Nanoparticle-tracking Analysis

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