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/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Exosomes:+Fundamental+Biology+and+Roles+in+Cardiovascular+Physiology.">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/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Emerging+role+of+exosome-mediated+intercellular+communication+in+vascular+remodeling.">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/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Human+saliva,+plasma+and+breast+milk+exosomes+contain+RNA:+uptake+by+macrophages.">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/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Analysis+of+the+RNA+content+of+the+exosomes+derived+from+blood+serum+and+urine+and+its+potential+as+biomarkers.">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/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Exosomes:+novel+biomarkers+for+clinical+diagnosis.">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/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Exosomes:+the+future+of+biomarkers+in+medicine.">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/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Exosomes:+composition,+biogenesis+and+function.">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/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Emerging+roles+of+exosomes+in+normal+and+pathological+conditions:+new+insights+for+diagnosis+and+therapeutic+applications.">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/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Isolation+and+characterization+of+exosomes+from+cell+culture+supernatants+and+biological+fluids.">Isolation and characterization of exosomes from cell culture supernatants and biological fluids.</a> Current Protocols in Cell Biology. , (2006).</li><li>Inglis, H., Norris, P., Danesh, A. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Techniques+for+the+analysis+of+extracellular+vesicles+using+flow+cytometry.">Techniques for the analysis of extracellular vesicles using flow cytometry.</a> Journal of Visualized Experiments. 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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&#39;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 &#181;m</td>
			<td>Polysciences, Inc.</td>
			<td>7304</td>
			<td>Alignment Solution</td>
		</tr>
		<tr>
			<td>Fluoresbrite YG Carboxylate Microspheres beads 0.2 &#181;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&#38;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

Characterization of Glycoproteins with the Immunoglobulin Fold by X-Ray Crystallography and Biophysical Techniques

Glycoproteins on the surface of cells play critical roles in cellular function, including signalling, adhesion and transport. On leukocytes, several of these glycoproteins possess immunoglobulin (Ig) folds and are central to immune recognition and regulation. Here, we present a platform for the design, expression and biophysical characterization of the extracellular domain of human B cell receptor CD22. We propose that these approaches are broadly applicable to the characterization of mammalian glycoprotein ectodomains containing Ig domains. Two suspension human embryonic kidney (HEK) cell lines, HEK293F and HEK293S, are used to express glycoproteins harbouring complex and high-mannose glycans, respectively. These recombinant glycoproteins with different glycoforms allow investigating the effect of glycan size and composition on ligand binding. We discuss protocols for studying the kinetics and thermodynamics of glycoprotein binding to biologically relevant ligands and therapeutic antibody candidates. Recombinant glycoproteins produced in HEK293S cells are amenable to crystallization due to glycan homogeneity, reduced flexibility and susceptibility to endoglycosidase H treatment. We present methods for soaking glycoprotein crystals with heavy atoms and small molecules for phase determination and analysis of ligand binding, respectively. The experimental protocols discussed here hold promise for the characterization of mammalian glycoproteins to give insight into their function and investigate the mechanism of action of therapeutics.

We present approaches for the biophysical and structural characterization of glycoproteins with the immunoglobulin fold by biolayer interferometry, isothermal titration calorimetry, and X-ray crystallography.

Glycoproteins on the surface of cells play critical roles in cellular function, including signalling, adhesion and transport. On leukocytes, several of ...

Isolation of Tissue Extracellular Vesicles from the Liver

Extracellular vesicles (EVs) can be released from many different cell types and detected in most, if not all, body fluids. EVs can participate in cell-to-cell communication by shuttling bioactive molecules such as RNA or protein from one cell to another. Most studies of EVs have been performed in cell culture models or in EVs isolated from body fluids. There is emerging interest in the isolation of EVs from tissues to study their contribution to physiological processes and how they are altered in disease. The isolation of EVs with sufficient yield from tissues is technically challenging because of the need for tissue dissociation without cellular damage. This method describes a procedure for the isolation of EVs from mouse liver tissue. The method involves a two-step process starting with in situ collagenase digestion followed by differential ultra-centrifugation. Tissue perfusion using collagenase provides an advantage over mechanical cutting or homogenization of liver tissue due to its increased yield of obtained EVs. The use of this two-step process to isolate EVs from the liver will be useful for the study of tissue EVs.

This is a protocol to isolate tissue extracellular vesicles (EVs) from the liver. The protocol describes a two-step process involving collagenase perfusion followed by differential ultracentrifugation to isolate liver tissue EVs.

Extracellular vesicles (EVs) can be released from many different cell types and detected in most, if not all, body fluids. EVs can participate in ...

Imaging of Extracellular Vesicles by Atomic Force Microscopy

Exosomes and other extracellular vesicles (EVs) are molecular complexes consisting of a lipid membrane vesicle, its surface decoration by membrane proteins and other molecules, and diverse luminal content inherited from a parent cell, which includes RNAs, proteins, and DNAs. The characterization of the hydrodynamic sizes of EVs, which depends on the size of the vesicle and its coronal layer formed by surface decorations, has become routine. For exosomes, the smallest of EVs, the relative difference between the hydrodynamic and vesicles sizes is significant. The characterization of vesicles sizes by the cryogenic transmission electron microscopy (cryo-TEM) imaging, a gold standard technique, remains a challenge due to the cost of the instrument, the expertise required to perform the sample preparation, imaging and data analysis, and a small number of particles often observed in images. A widely available and accessible alternative is the atomic force microscopy (AFM), which can produce versatile data on three-dimensional geometry, size, and other biophysical properties of extracellular vesicles. The developed protocol guides the users in utilizing this analytical tool and outlines the workflow for the analysis of EVs by the AFM, which includes the sample preparation for imaging EVs in hydrated or desiccated form, the electrostatic immobilization of vesicles on a substrate, data acquisition, its analysis, and interpretation. The representative results demonstrate that the fixation of EVs on the modified mica surface is predictable, customizable, and allows the user to obtain sizing results for a large number of vesicles. The vesicle sizing based on the AFM data was found to be consistent with the cryo-TEM imaging.&#160;

A step-by-step procedure is described for label-free immobilization of exosomes and extracellular vesicles from liquid samples and their imaging by atomic force microscopy (AFM). The AFM images are used to estimate the size of the vesicles in the solution and characterize other biophysical properties.&#160;

Exosomes and other extracellular vesicles (EVs) are molecular complexes consisting of a lipid membrane vesicle, its surface decoration by membrane ...

Characterization of Membrane Transporters by Heterologous Expression in E. coli and Production of Membrane Vesicles

Several methods have been developed to functionally characterize novel membrane transporters. Polyamines are ubiquitous in all organisms, but polyamine exchangers in plants have not been identified. Here, we outline a method to characterize polyamine antiporters using membrane vesicles generated from the lysis of Escherichia coli cells heterologously expressing a plant antiporter. First, we heterologously expressed AtBAT1 in an E. coli strain deficient in polyamine and arginine exchange transporters. Vesicles were produced using a French press, purified by ultracentrifugation and utilized in a membrane filtration assay of labeled substrates to demonstrate the substrate specificity of the transporter. These assays demonstrated that AtBAT1 is a proton-mediated transporter of arginine, &#947;-aminobutyric acid (GABA), putrescine and spermidine. The mutant strain that was developed for the assay of AtBAT1 may be useful for the functional analysis of other families of plant and animal polyamine exchangers. We also hypothesize that this approach can be used to characterize many other types of antiporters, as long as these proteins can be expressed in the bacterial cell membrane. E. coli is a good system for the characterization of novel transporters, since there are multiple methods that can be employed to mutagenize native transporters.

Characterization of Membrane Transporters by Heterologous Expression in E. coli and Production of Membrane Vesicles

We describe a method for the characterization of proton-driven membrane transporters in membrane vesicle preparations produced by heterologous expression in E. coli and lysis of cells using a French press.

Several methods have been developed to functionally characterize novel membrane transporters. Polyamines are ubiquitous in all organisms, but polyamine ...

Rapid and Cost-Effective RNA Extraction of Rat Pancreatic Tissue

Regardless of the extraction method, optimized RNA extraction of tissues and cell lines are carried out in four stages: 1) homogenization, 2) effective denaturation of proteins from RNA, 3) ribonuclease inactivation, and 4) removal of contamination from DNA, proteins, and carbohydrates. However, it is very laborious to maintain the integrity of RNA when there are high levels of RNase in the tissue. Spontaneous autolysis makes it very difficult to extract RNA from pancreatic tissue without damaging it. Thus, a practical RNA extraction method is needed to maintain the integrity of pancreatic tissues during the extraction process. An experimental and comparative study of existing protocols was carried out by obtaining 20-30 mg of rat pancreatic tissues in less than 2 minutes and extracting the RNA. The results were assessed by electrophoresis. The experiments were carried out three times for generalization of the results. Immersing pancreatic tissue in RNA stabilization reagent at -80 &#176;C for 24 h yielded high integrity RNA, when the RNA extraction reagent was used as the reagent. The results obtained were comparable to the results obtained from commercial kits with spin column bindings.

The purity and integrity of the isolated RNA is a vital step in RNA dependent assays. Here, we present a practical, rapid, and inexpensive method to extract RNA from a small quantity of undamaged pancreatic tissue.

Regardless of the extraction method, optimized RNA extraction of tissues and cell lines are carried out in four stages: 1) homogenization, 2) effective ...

Analysis and Specification of Starch Granule Size Distributions

Starch from all plant sources are made up of granules in a range of sizes and shapes having different occurrence frequencies, i.e., exhibiting a size and a shape distribution. Starch granule size data determined using several types of particle sizing techniques are often problematic due to poor reproducibility or lack of statistical significance resulting from some insurmountable systematic errors, including sensitivity to granule shapes and limits of granule-sample sizes. We outlined a procedure for reproducible and statistically valid determinations of starch granule size distributions using the electrical sensing zone technique, and for specifying the determined granule lognormal size distributions using an adopted two-parameter multiplicative form with improved accuracy and comparability. It is applicable to all granule sizing analyses of gram-scale starch samples, and, therefore, could facilitate studies on how starch granule sizes are molded by the starch biosynthesis apparatus and mechanisms; and how they impact properties and functionality of starches for food and industrial uses. Representative results are presented from replicate analyses of granule size distributions of sweetpotato starch samples using the outlined procedure. We further discussed several key technical aspects of the procedure, especially, the multiplicative specification of granule lognormal size distributions and some technical means for overcoming frequent aperture blockage by granule aggregates.

Presented here is a procedure for reproducible and statistically valid determinations of starch granule size distributions, and for specifying the determined granule lognormal size distributions using a two-parameter multiplicative form. It is applicable to all granule sizing analyses of gram-scale starch samples for plant and food science research. &#160;

Starch from all plant sources are made up of granules in a range of sizes and shapes having different occurrence frequencies, i.e., exhibiting a size and ...

Single Cell Analysis Of Transcriptionally Active Alleles By Single Molecule FISH

Gene transcription is an essential process in cell biology, and allows cells to interpret and respond to internal and external cues. Traditional bulk population methods (Northern blot, PCR, and RNAseq) that measure mRNA levels lack the ability to provide information on cell-to-cell variation in responses. Precise single cell and allelic visualization and quantification is possible via single molecule RNA fluorescence in situ hybridization (smFISH). RNA-FISH is performed by hybridizing target RNAs with labeled oligonucleotide probes. These can be imaged in medium/high throughput modalities, and, through image analysis pipelines, provide quantitative data on both mature and nascent RNAs, all at the single cell level. The fixation, permeabilization, hybridization and imaging steps have been optimized in the lab over many years using the model system described herein, which results in successful and robust single cell analysis of smFISH labeling. The main goal with sample preparation and processing is to produce high quality images characterized by a high signal-to-noise ratio to reduce false positives and provide data that are more accurate. Here, we present a protocol describing the pipeline from sample preparation to data analysis in conjunction with suggestions and optimization steps to tailor to specific samples.&#160;

Single molecule RNA fluorescence in situ hybridization (smFISH) is a method to accurately quantify levels and localization of specific RNAs at the single cell level. Here, we report our validated lab protocols for wet-bench processing, imaging and image analysis for single cell quantification of specific RNAs.

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Rapid Determination of Antibody-Antigen Affinity by Mass Photometry

Measurements of the specificity and affinity of antigen-antibody interactions are critically important for medical and research applications. In this protocol, we describe the implementation of a new single-molecule technique, mass photometry (MP), for this purpose. MP is a label- and immobilization-free technique that detects and quantifies molecular masses and populations of antibodies and antigen-antibody complexes on a single-molecule level. MP analyzes the antigen-antibody sample within minutes, allowing for the precise determination of the binding affinity and simultaneously providing information on the stoichiometry and the oligomeric state of the proteins. This is a simple and straightforward technique that requires only picomole quantities of protein and no expensive consumables. The same procedure can be used to study protein-protein binding for proteins with a molecular mass larger than 50 kDa. For multivalent protein interactions, the affinities of multiple binding sites can be obtained in a single measurement. However, the single-molecule mode of measurement and the lack of labeling imposes some experimental limitations. This method gives the best results when applied to measurements of sub-micromolar interaction affinities, antigens with a molecular mass of 20 kDa or larger, and relatively pure protein samples. We also describe the procedure for performing the required fitting and calculation steps using basic data analysis software.

We describe a single-molecule approach to antigen-antibody affinity measurements using mass photometry (MP). The MP-based protocol is fast, accurate, uses a very small amount of material, and does not require protein modification.

Measurements of the specificity and affinity of antigen-antibody interactions are critically important for medical and research applications. In this ...

Cryo-EM and Single-Particle Analysis with Scipion

Cryo-electron microscopy has become one of the most important tools in biological research to reveal the structural information of macromolecules at near-atomic resolution. In single-particle analysis, the vitrified sample is imaged by an electron beam and the detectors at the end of the microscope column produce movies of that sample. These movies contain thousands of images of identical particles in random orientations. The data need to go through an image processing workflow with multiple steps to obtain the final 3D reconstructed volume. The goal of the image processing workflow is to identify the acquisition parameters to be able to reconstruct the specimen under study. Scipion provides all the tools to create this workflow using several image processing packages in an integrative framework, also allowing the traceability of the results. In this article the whole image processing workflow in Scipion is presented and discussed with data coming from a real test case, giving all the details necessary to go from the movies obtained by the microscope to a high resolution final 3D reconstruction. Also, the power of using consensus tools that allow combining methods, and confirming results along every step of the workflow, improving the accuracy of the obtained results, is discussed.

Single-particle analysis in cryo-electron microscopy is one of the main techniques used to determine the structure of biological ensembles at high resolution. Scipion provides the tools to create the whole pipeline to process the information acquired by the microscope and achieve a 3D reconstruction of the biological specimen.

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Continuous Fluorescence-Based Endonuclease-Coupled DNA Methylation Assay to Screen for DNA Methyltransferase Inhibitors

DNA methylation, a form of epigenetic gene regulation, is important for normal cellular function. In cells, proteins called DNA methyltransferases (DNMTs) establish and maintain the DNA methylation pattern. Changes to the normal DNA methylation pattern are linked to cancer development and progression, making DNMTs potential cancer drug targets. Thus, identifying and characterizing novel small molecule inhibitors of these enzymes is of great importance. This paper presents a protocol that can be used to screen for DNA methyltransferase inhibitors. The continuous coupled kinetics assay allows for initial velocities of DNA methylation to be determined in the presence and absence of potential small molecule inhibitors. The assay uses the methyl-sensitive endonuclease Gla I to couple methylation of a hemimethylated DNA substrate to fluorescence generation.
This continuous assay allows for enzyme activity to be monitored in real time. Conducting the assay in small volumes in microtiter plates reduces the cost of reagents. Using this assay, a small example screen was conducted for inhibitors of DNMT1, the most abundant DNMT isozyme in humans. The highly substituted anthraquinone natural product, laccaic acid A, is a potent, DNA-competitive inhibitor of DNMT1. Here, we examine three potential small molecule inhibitors &#8212; anthraquinones or anthraquinone-like molecules with one to three substituents &#8212; at two concentrations to describe the assay protocol. Initial velocities are used to calculate the percent activity observed in the presence of each molecule. One of three compounds examined exhibits concentration-dependent inhibition of DNMT1 activity, indicating that it is a potential inhibitor of DNMT1.

DNA methyltransferases are potential cancer drug targets. Here, a protocol is presented to assess small molecules for DNA methyltransferase inhibition. This assay utilizes an endonuclease to couple DNA methylation to fluorescence generation and allows for enzyme activity to be monitored in real time.&#160;

DNA methylation, a form of epigenetic gene regulation, is important for normal cellular function. In cells, proteins called DNA methyltransferases (DNMTs) ...

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

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Characterization of Glycoproteins with the Immunoglobulin Fold by X-Ray Crystallography and Biophysical Techniques

Isolation of Tissue Extracellular Vesicles from the Liver

Imaging of Extracellular Vesicles by Atomic Force Microscopy

Characterization of Membrane Transporters by Heterologous Expression in E. coli and Production of Membrane Vesicles

Rapid and Cost-Effective RNA Extraction of Rat Pancreatic Tissue

Analysis and Specification of Starch Granule Size Distributions

Single Cell Analysis Of Transcriptionally Active Alleles By Single Molecule FISH

Rapid Determination of Antibody-Antigen Affinity by Mass Photometry

Cryo-EM and Single-Particle Analysis with Scipion

Continuous Fluorescence-Based Endonuclease-Coupled DNA Methylation Assay to Screen for DNA Methyltransferase Inhibitors