Name: flow cytometric analysis of extracellular vesicles from cell-conditioned media
Uploaded: 2019-02-12T14:00:00
Description: Watch this Scientific Journal Video about Flow Cytometric Analysis of Extracellular Vesicles from Cell-conditioned Media at JoVE.com

L.B. was supported by research grants of Helmut Horten Stiftung and Velux Stiftung, Zurich (Switzerland). G.V. was supported by research grants of Swiss National Science Foundation, the Cecilia-Augusta Foundation, Lugano, and the SHK Stiftung f&#252;r Herz- und Kreislaufkrankheiten (Switzerland)

1. Collection and Processing of Conditioned Media
<ol>
	<li>Coat 55 cm2 Petri dishes with 0.02% porcine skin gelatin in PBS.</li>
	<li>Plate CPC (8,000/cm2) in pre-coated dishes with 7 mL of Iscove&#39;s Modified Dulbecco&#39;s Medium (IMDM) supplemented with 20% FBS (Fetal Bovine Serum) and 1% Penicillin/Streptomycin (P/S). 
	NOTE: The term &#8220;CPC&#8221; refers to human explant derived cells that have been described elsewhere14. CM can be collecte...

<ol>
	<li>Barile, L., Vassalli, G. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Exosomes:+Therapy+delivery+tools+and+biomarkers+of+diseases.">Exosomes: Therapy delivery tools and biomarkers of diseases.</a> Pharmacology &amp; Therapeutics. , (2017).</li><li>Thery, C. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Exosomes:+secreted+vesicles+and+intercellular+communications.">Exosomes: secreted vesicles and intercellular communications.</a> Molecular Biology Reports. 3, 15 (2011).</li><li>Yadav, D. 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J., Nolte-'t Hoen, E. N., Stoorvogel, W., Arkesteijn, G. J., Wauben, M. 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W., 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=Updating+the+MISEV+minimal+requirements+for+extracellular+vesicle+studies:+building+bridges+to+reproducibility.">Updating the MISEV minimal requirements for extracellular vesicle studies: building bridges to reproducibility.</a> Journal of Extracellular Vesicles. 6, 1396823 (2017).</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 Cellular Biology. , (2006).</li><li>Suarez, H., 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=A+bead-assisted+flow+cytometry+method+for+the+semi-quantitative+analysis+of+Extracellular+Vesicles.">A bead-assisted flow cytometry method for the semi-quantitative analysis of Extracellular Vesicles.</a> Scientific Reports. 7, 11271 (2017).</li><li>Sodar, B. W., 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=Low-density+lipoprotein+mimics+blood+plasma-derived+exosomes+and+microvesicles+during+isolation+and+detection.">Low-density lipoprotein mimics blood plasma-derived exosomes and microvesicles during isolation and detection.</a> Scientific Reports. 6, 24316 (2016).</li><li>Sluijter, J. P. G., 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=Extracellular+vesicles+in+diagnostics+and+therapy+of+the+ischaemic+heart:+Position+Paper+from+the+Working+Group+on+Cellular+Biology+of+the+Heart+of+the+European+Society+of+Cardiology.">Extracellular vesicles in diagnostics and therapy of the ischaemic heart: Position Paper from the Working Group on Cellular Biology of the Heart of the European Society of Cardiology.</a> Cardiovascular Research. 114, 19-34 (2018).</li></ol>

Conventional FC technique remains the most straightforward analytic method to characterize markers expressed onto the surface of EV. In this regard, selecting the most appropriate protocol is crucial to obtain useful information on individual particle fractions of interest by avoiding limitations due to instrument sensitivity. We described a method using magnetic particles coupled with antibodies that recognize Exo and small EV surface antigens which are suitable for downstream FC application. We validated the method usi...

Cells secrete extracellular vesicles (EV) of different sizes including microvesicles (MV) and exosomes (Exo). The latter can be distinguished from MV by both size and the subcellular compartment of origin. MV (200&#8211;1,000 nm in size) are released from parent cells by shedding from the plasma membrane. Conversely, Exo (30&#8211;150 nm) originate from endosomal membranes and are released into the extracellular space when the multivesicular bodies (MVB) fuse with the cell membrane1,2.
EV are increasingly used as diagnostic biomarkers as well as, potentially, therapeutic tools in many fields including oncology, neurology, cardiology, and musculoskeletal diseases3,4,5. A vast majority of ongoing studies using EV as therapeutic agents exploit the isolation of vesicles from cell-conditioned medium (CM) of in vitro cultured cells. Mesenchymal stem cells (MSCs) exert beneficial effects in several contexts, and MSC-derived EV have shown benefits in models of myocardial ischemia/reperfusion injury6 and brain injury7. MSC-derived EV also exhibit immune modulatory activities that can be exploited to treat immune rejection, as demonstrated in a model of therapy-refractory graft-versus-host disease8. Amniotic fluid stem cells (hAFS) actively enrich CM with MVs and Exo, heterogeneously distributed in size (50&#8211;1,000 nm), which mediate several biological effects, such as proliferation of differentiated cells, angiogenesis, inhibition of fibrosis, and cardioprotection4. We have recently shown that EV, and particularly Exo, secreted by human cardiac-derived progenitor cells (Exo-CPC) reduce myocardial infarct size in rats5,9.
Exo share a common set of proteins on their surface, including tetraspanins (CD63, CD81, CD9) and major histocompatibility complex class I (MHC-I). In addition to this common set of proteins, Exo also contain proteins specific for the EV subset of the producer cell type. Exo markers are gaining paramount importance because they play a crucial role in inter-cellular communication, thereby regulating many biological processes5,10. Because of their small size, finding an easy way to analyze EV using classical flow cytometry (FC) remains a challenging task.
Here, we present a simplified protocol for EV analysis using FC, which can be applied to pre-enriched samples obtained through ultracentrifugation or directly to CM (Figure 1). The method uses beads coated with a specific antibody that binds canonical Exo-associated surface epitopes (CD63, CD9, CD81) without additional washes. FC analyses can be performed using a conventional cytometer with no need for adjustments prior to measurements. Methods for the characterization of antigens on individual small particles using flow cytometers have been described by other groups with respect to various applications11,12,13. Here, we used functionalized magnetic beads for the capture of small particles and Exo, followed by phenotyping of captured particles by FC. Although this method can be used to characterize the antigenic composition of small vesicles released by any cell type in vitro, here we provided specific cell culture conditions that apply for the culture of human cardiac progenitor cells (CPC) and the most appropriate environment for the production of EV by these cells.

<table border="0" cellpadding="0" cellspacing="0" style="width:816px;" width="816">
	<tbody>
		<tr height="21">
			<td height="21" style="height:21px;width:369px;">IMDM</td>
			<td style="width:113px;">Gibco</td>
			<td style="width:235px;">12440061</td>
			<td style="width:99px;"></td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;">Amicon Ultra-15, PLHK Ultracel-PL Membran, 100&#160;kDa&#160;</td>
			<td>Millipore</td>
			<td>UFC910024</td>
			<td></td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;">CytoFlex, Flow Cytometer Platform</td>
			<td>Beckman Coulter</td>
			<td>CytoFlex</td>
			<td></td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;">DMEM, high glucose, HEPES, no phenol red</td>
			<td>Gibco</td>
			<td>21063045</td>
			<td></td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;">Dulbecco&#39;s PBS (PBS) Ca- and Mg-free</td>
			<td>Lonza</td>
			<td>BE17-512F</td>
			<td></td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;">ExoCap CD63 Capture Kit</td>
			<td>JSR Life Sciences</td>
			<td>Ex-C63-SP</td>
			<td></td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;">ExoCap CD81 Capture Kit</td>
			<td>JSR Life Sciences</td>
			<td>Ex-C81-SP</td>
			<td></td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;">ExoCap CD9 Capture Kit</td>
			<td>JSR Life Sciences</td>
			<td>Ex-C9-SP</td>
			<td></td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;">Exosome-Depleted FBS</td>
			<td>Thermofisher</td>
			<td>A2720801</td>
			<td></td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;">Exosome-depleted FBS Media Supplement</td>
			<td>SBI</td>
			<td>EXO-FBS-250A-1</td>
			<td></td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;">FBS-Fetal Bovine Serum</td>
			<td>Gibco</td>
			<td>10270106</td>
			<td></td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;">FITC anti-human CD9 Antibody</td>
			<td>Biolegend</td>
			<td>312104&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160; RRID: AB_2075894</td>
			<td></td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;">Flow Cytometer analysis software</td>
			<td>Beckman Coulter</td>
			<td>Kaluza</td>
			<td></td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;">NanoSight LM10</td>
			<td>Malvern</td>
			<td>NanoSight LM10</td>
			<td></td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;">NanoSight Software</td>
			<td>Malvern</td>
			<td>NTA 2.3</td>
			<td></td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;">Optima Max-XP</td>
			<td>Beckman Coulter</td>
			<td>393315</td>
			<td></td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;">PE anti-human CD63 Antibody</td>
			<td>Biolegend</td>
			<td>353004&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160; RRID:AB_10897809</td>
			<td></td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;">PE anti-human CD81 (TAPA-1) Antibody</td>
			<td>Biolegend</td>
			<td>349505&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160; RRID:AB_10642024</td>
			<td></td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;">Penicillin-Streptomycin</td>
			<td>Gibco</td>
			<td>15140122</td>
			<td></td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;">Thermomixer C</td>
			<td>Eppendorf</td>
			<td>5382 000 015</td>
			<td></td>
		</tr>
		<tr height="22">
			<td height="22" style="height:22px;">TLA-110</td>
			<td>Beckman Coulter</td>
			<td>TLA-110 rotors</td>
			<td></td>
		</tr>
	</tbody>
</table>

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.

Total number of particles for single staining
Since a single bead can bind more than one particle, we tested different conditions to set the smallest amount of total EV (single antibody per tube) to reach the early exponential phase of MFI curve. A fixed concentration of antibody was used while the total number of particles ranged from 5 x 105 to 2.5 x 108. As shown in ...

Watch this Scientific Journal Video about Flow Cytometric Analysis of Extracellular Vesicles from Cell-conditioned Media at JoVE.com

Flow Cytometric Analysis of Extracellular Vesicles from Cell-conditioned Media

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 ...

Extracellular Vesicles are increasingly being used as a diagnostic biomarker and potential therapeutic tool in many field. Flow Cytometric is the most straight forward analytic method for characterizing by suit faced markers this protocol can be used in analyzing an assized particle, is fast, and is applicable to conventional seismometers without the need for special setting or the dedicated instrument. Although this protocol is used to categorize Extracellular Vesicles from said condition and medium, it can be expanded towards categorization of blood arrived AVs, to replace invasive tissue biopsies in patients.For researchers new to the protocol, it is critical to perform steps described in the set-up method section, and to closely follow the demonstrated getting strategies Begin by coating 55 centimeter squared Petri-dishes with 02%porcine skin gelatin, in PBS. After 15 minutes, wash the dish and plate 4.4 times 10 to the fifth cardiac progenitor cells onto each dish in 7 milliliters of Iscove's Modified Dulbecco's Medium, or IMDM, supplemented with 20%fetal bovine serum, and 1%penicillin and streptomycin for their incubation at 37 degrees Celsius and 5%carbon dioxide. When the cells reach about 80%confluency, wash the cultures two times with Dulbecco's PBS without calcium and magnesium and feed the cells with 10 milileters of serum free exosome production medium.After 7 days, pool the conditioned medium from each plate, into a single polypropylene centrifuge tube and centrifuge the medium to remove any cell debris. Transfer the supernatent into a 100 kilodalton centrifuge filter tube, And concentrate the cleared, conditioned, medium with an additional centrifugation. Transfer the concentrate into a micro centrifuge tube for a final benchtop centrifugation and add the supernatent into a polycarbonate thick wall micro centrifuge tube.Fill the tube with PBS, to a final volume of 3.2 milileters, and load the sample into a titanium fixed angeled rotor. Then load the rotor into a tabletop ultracentrifuge for ultracentrifugation, and resuspend the pellet in 100 microliters of fresh PBS. For nanoparticle tracking and analysis quantification, dilute 1 microliter of the ultracentrifuged sample, in 999 microliters of PBS, and load the sample into a 1 milileter syringe without bubbles.Load the syringe into the inlet port of the examination chamber, and turn on the laser. Use the capture button to open the camera, and adjust the focus. Then record at least three different frames of 60 seconds each, and use the batch process option in the software, to analyze the three different acquisitions.To prepare the sample for acquisition, first add the appropriate experimental monoclonal antibody conjugated capture beads at a 1:1:1 ratio, into a micro centrifuge tube, and vortex the resulting capture bead pool. Next, add the appropriate volume of sample to 1 microliter of capture bead pool to generate a 1 times 10 to the 8 particles plus 1.2 times 10 to the 5th beads per test concentration. Add 1 microliter of beads to a tube labeled beads as the negative control, and adjust the volume in each tube to 100 microliters with fresh PBS.Then place the tubes in a thermo mixer, with shaking, at 400 rotations per minute, and 4 to 10 Celsius, overnight. The next day, transfer the samples to a round bottom 96 well plate, and add the appropriate florescence conjugated antibodies to each well. After a 1 hour incubation at 4 to 10 degrees Celsius, add 100 microliters of PBS to each well, and open the acquisition software.Select cytometer and system start up program, to start the instrument and open a new experiment. Create an experimental template, and select plate and add plate. Select the position of the samples on the plate, and click set as sample well.Enter the sample name in the naming rules, open the channel tab, and select the appropriate florescence signal channels. Now load the plate into the instrument. And click dot plot, to create a new forward scatter area versus side scatter area dot plot.Select initialize to start the laser and the fluidics and click run to start the acquisition. Adjust the scale to show the population in the middle of the forward versus side scatter plot, and draw a beads gate around the whole sample population to exclude the debris. Click stop and dot plot to create a forward scatter height versus forward scatter area dot plot, and gate the sample on the beads population.Draw a new gate around the bigger population and name it Singlets, and click dot plot to create one fluorescent signal versus side scatter area dot plot, per experimental fluorophore used. Gate the new dot plot on the Singlets. Then select the number of events to record, and select record to start the experimental acquisition.At the end of the analysis, load the acquisition files into the appropriate analysis software, and open a new protocol. Create dot plots for each file as just demonstrated, and set all of the scatter axis to linear scale, and all of the florescent axis to log scale. Then show the florescence geometric mean in the relevant signals channels, to calculate the full change in mean florescence intensity, in the different extracellular vesicle preparations.After testing different conditions to set the smallest total amount of extracellular vesicles to reach the early exponential phase of a mean florescence intensity curve, the minimum number of particles was determined to be 1 times 10 to the 8 particles per staining. The optimal concentration of antibody for 1 times 10 to the 8 particles to achieve the highest signal without nonspecific antibody binding, was determined to be 10 micrograms per milliliter for both anti CD9_FITC and anti CD63_PE antibodies and five micrograms per milliliter for the anti CD81_PE antibody. To confirm the suitability of the method, for analyzing cup shaped extracellular vesicles, and not membrane debris, the extracellular vesicles were sonicated, resulting in a decrease in mean florescence intensity, after as little as 30 seconds of sonication, with no florescence detected at all after one minute of mechanical disruption.X's own purification from cardiac progenitor cells as demonstrated, yields extracellular vesicles, expressing low levels of CD9 and high levels of CD63 and CD81 from both cell populations. Furthermore, while X's own surface markers are clearly identifiable without ultracentrifugation, this enrichment step greatly enhances the mean florescence intensity of these markers. When working with extracellular vesicles, there's more careless nano particle pellets can be easily missed.Therefore, it is essential to follow all the step as demonstrated in the protocol. Using extracellular vesicles as a biomarker is now one of the most emerging field research. And soon, may be translated into the clinical diagnostic used as an alternative screening tool.

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JoVE Journal

Biology

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 ...

Purification and Analysis of Caenorhabditis elegans Extracellular Vesicles

The secretion of small membrane-bound vesicles into the external environment is a fundamental physiological process of all cells. These extracellular vesicles (EVs) function outside the cell to regulate global physiological processes by transferring proteins, nucleic acids, metabolites, and lipids between tissues. EVs reflect the physiological state of their cells of origin. EVs are implicated to have fundamental roles in virtually every aspect of human health. Thus, EV protein and genetic cargos are being increasingly analyzed for biomarkers of health and disease. However, the EV field still lacks a tractable invertebrate model system that permits the study of EV cargo composition. C. elegans is well suited for EV research because it actively secretes EVs outside of its body into its external environment, permitting facile isolation. This article provides all the necessary information for generating, purifying, and quantifying these environmentally secreted C. elegans EVs including how to work quantitatively with very large populations of age-synchronized worms, purifying EVs, and a flow cytometry protocol that directly measures the number of intact EVs in the purified sample. Thus, the large library of genetic reagents available for C. elegans research can be tapped into for investigating the impacts of genetic pathways and physiological processes on EV cargo composition.

Purification and Analysis of Caenorhabditis elegans Extracellular Vesicles

This article presents methods for generating, purifying, and quantifying Caenorhabditis elegans extracellular vesicles.

The secretion of small membrane-bound vesicles into the external environment is a fundamental physiological process of all cells. These extracellular ...

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 ...

Scalable Isolation and Purification of Extracellular Vesicles from Escherichia coli and Other Bacteria

Diverse bacterial species secrete ~20-300 nm extracellular vesicles (EVs), comprised of lipids, proteins, nucleic acids, glycans, and other molecules derived from the parental cells. EVs function as intra- and inter-species communication vectors while also contributing to the interaction between bacteria and host organisms in the context of infection and colonization. Given the multitude of functions attributed to EVs in health and disease, there is a growing interest in isolating EVs for in vitro and in vivo studies. It was hypothesized that the separation of EVs based on physical properties, namely size, would facilitate the isolation of vesicles from diverse bacterial cultures. 
The isolation workflow consists of centrifugation, filtration, ultrafiltration, and size-exclusion chromatography (SEC) for the isolation of EVs from bacterial cultures. A pump-driven tangential flow filtration (TFF) step was incorporated to enhance scalability, enabling the isolation of material from liters of starting cell culture. Escherichia coli was used as a model system expressing EV-associated nanoluciferase and non-EV-associated mCherry as reporter proteins. The nanoluciferase was targeted to the EVs by fusing its N-terminus with cytolysin A. Early chromatography fractions containing 20-100 nm EVs with associated cytolysin A - nanoLuc were distinct from the later fractions containing the free proteins. The presence of EV-associated nanoluciferase was confirmed by immunogold labeling and transmission electron microscopy. This EV isolation workflow is applicable to other human gut-associated gram-negative and gram-positive bacterial species. In conclusion, combining centrifugation, filtration, ultrafiltration/TFF, and SEC enables scalable isolation of EVs from diverse bacterial species. Employing a standardized isolation workflow will facilitate comparative studies of microbial EVs across species.

Scalable Isolation and Purification of Extracellular Vesicles from Escherichia coli and Other Bacteria

Bacteria secrete nanometer-sized extracellular vesicles (EVs) carrying bioactive biological molecules. EV research focuses on understanding their biogenesis, role in microbe-microbe and host-microbe interactions and disease, as well as their potential therapeutic applications. A workflow for scalable isolation of EVs from various bacteria is presented to facilitate standardization of EV research.

Diverse bacterial species secrete ~20-300 nm extracellular vesicles (EVs), comprised of lipids, proteins, nucleic acids, glycans, and other molecules ...

Isolation of microRNAs from Tick Ex Vivo Salivary Gland Cultures and Extracellular Vesicles

Ticks are important ectoparasites that can vector multiple pathogens. The salivary glands of ticks are essential for feeding as their saliva contains many effectors with pharmaceutical properties that can diminish host immune responses and enhance pathogen transmission. One group of such effectors are microRNAs (miRNAs). miRNAs are short non-coding sequences that regulate host gene expression at the tick-host interface and within the organs of the tick. These small RNAs are transported in the tick saliva via extracellular vesicles (EVs), which serve inter-and intracellular communication. Vesicles containing miRNAs have been identified in the saliva of ticks. However, little is known about the roles and profiles of the miRNAs in tick salivary vesicles and glands. Furthermore, the study of vesicles and miRNAs in tick saliva requires tedious procedures to collect tick saliva. This protocol aims to develop and validate a method for isolating miRNAs from purified extracellular vesicles produced by ex vivo organ cultures. The materials and methodology needed to extract miRNAs from extracellular vesicles and tick salivary glands are described herein.

Isolation of microRNAs from Tick Ex Vivo Salivary Gland Cultures and Extracellular Vesicles

The present protocol describes the isolation of microRNAs from tick salivary glands and purified extracellular vesicles. This is a universal procedure that combines commonly used reagents and supplies. The method also allows the use of a small number of ticks, resulting in quality microRNAs that can be readily sequenced.

Ticks are important ectoparasites that can vector multiple pathogens. The salivary glands of ticks are essential for feeding as their saliva contains many ...

Isolation and Analysis of Traceable and Functionalized Extracellular Vesicles from the Plasma and Solid Tissues

Circulating and tissue-resident extracellular vesicles (EVs) represent promising targets as novel theranostic biomarkers, and they emerge as important players in the maintenance of organismal homeostasis and the progression of a wide spectrum of diseases. While the current research focuses on the characterization of endogenous exosomes with the endosomal origin, microvesicles blebbing from the plasma membrane have gained increasing attention in health and sickness, which are featured by an abundance of surface molecules recapitulating the membrane signature of parent cells. Here, a reproducible procedure is presented based on differential centrifugation for extracting and characterizing EVs from the plasma and solid tissues, such as the bone. The protocol further describes subsequent profiling of surface antigens and protein cargos of EVs, which are thus traceable for their derivations and identified with components related to potential function. This method will be useful for correlative, functional, and mechanistic analysis of EVs in biological, physiological, and pathological studies.

The present protocol describes a method to extract extracellular vesicles from the peripheral blood and solid tissues with subsequent profiling of surface antigens and protein cargos.

Circulating and tissue-resident extracellular vesicles (EVs) represent promising targets as novel theranostic biomarkers, and they emerge as important ...

Enhanced Bacterial Extracellular Vesicles Isolation for Microbiota Multi-Omics

Isolation and Purification of Bacterial Extracellular Vesicles from Human Feces Using Density Gradient Centrifugation

Bacterial extracellular vesicles (BEVs) are nanovesicles derived from bacteria that play an active role in bacteria-bacteria and bacteria-host communication, transferring bioactive molecules such as proteins, lipids, and nucleic acids inherited from the parent bacteria. BEVs derived from the gut microbiota have effects within the gastrointestinal tract and can reach distant organs, resulting in significant implications for physiology and pathology. Theoretical investigations that explore the types, quantities, and roles of BEVs derived from human feces are crucial for understanding the secretion and function of BEVs from the gut microbiota. These investigations also necessitate an improvement in the current strategy for isolating and purifying BEVs.
This study optimized the isolation and purification process of BEVs by establishing two density gradient centrifugation (DGC) modes: Top-down and Bottom-up. The enriched distribution of BEVs was determined in fractions 6 to 8 (F6-F8). The effectiveness of the approach was evaluated based on particle morphology, size, concentration, and protein content. The particle and protein recovery rates were calculated, and the presence of specific markers was analyzed to compare the recovery and purity of the two DGC modes. The results indicated that the Top-down centrifugation mode had lower contamination levels and achieved a recovery rate and purity similar to that of the Bottom-up mode. A centrifugation time of 7 h was sufficient to achieve a fecal BEV concentration of 108/mg.
Apart from feces, this method could be applied to other body fluid types with proper modification according to the differences in components and viscosity. In conclusion, this detailed and reliable protocol would facilitate the standardized isolation and purification of BEVs and thus, lay a foundation for subsequent multi-omics analysis and functional experiments.

Author Spotlight: Accelerating Research on Bacterial Extracellular Vesicles Separation and Heterogeneity 

This study describes a method to isolate and purify bacterial extracellular vesicles (BEVs) enriched from human feces via density gradient centrifugation (DGC), identifies the physical characteristics of BEVs from morphology, particle size, and concentration, and discusses the potential applications of the DGC approach in clinical and scientific research.

Bacterial extracellular vesicles (BEVs) are nanovesicles derived from bacteria that play an active role in bacteria-bacteria and bacteria-host ...

Quantitative Analysis of Microbial Autoaggregation Using Imaging Flow Cytometry

Imaging Flow Cytometry to Study Microbial Autoaggregation

Beneficial and probiotic bacteria play essential roles in their hosts, providing various health benefits, including immunity to infectious diseases. The Lactobacillaceae family consists of Gram-positive bacteria with confirmed probiotic properties. This study utilizes Lactobacillaceae species as a model to demonstrate the effectiveness of single-cell high throughput analysis in studying cellular aggregation. The focus is on analyzing the response of these beneficial species to simple carbohydrates from the diet.
The study showcases how Imaging Flow Cytometry (IFC) can overcome the fundamental differences in the assembly of probiotic bacteria in the presence and absence of carbohydrates. IFC combines the power and speed of conventional flow cytometry with the spatial resolution of microscopy, enabling high-rate complex morphometric measurements in a phenotypically defined manner across a library of beneficial bacterial strains and conditions. This protocol provides insights into the autoaggregation of Lactobacillaceae species and sheds light on their response to dietary carbohydrates, contributing to understanding the mechanisms behind the beneficial effects of these probiotic bacteria.

Author Spotlight: Advancing Research in Microbial Autoaggregation Using Imaging Flow Cytometry

This protocol describes a quantitative approach to measure microbial autoaggregation using imaging flow cytometry.

Beneficial and probiotic bacteria play essential roles in their hosts, providing various health benefits, including immunity to infectious diseases. The ...

A Flow Cytometry Protocol for Understanding Export Mechanisms

Tracking miRNA Release into Extracellular Vesicles using Flow Cytometry

Extracellular vesicles (EVs) are important mediators of cellular communication that are secreted by a variety of different cells. These EVs shuttle bioactive molecules, including proteins, lipids, and nucleic acids (DNA, mRNAs, microRNAs, and other noncoding RNAs), from one cell to another, leading to phenotypic consequences in the recipient cells. Of all the various EV cargo, microRNAs (miRNAs) have garnered a great deal of attention for their role in shaping the microenvironment and in educating recipient cells because of their clear dysregulation and abundance in EVs. Additional data indicates that many miRNAs are actively loaded into EVs. Despite this clear evidence, research on the dynamics of export and mechanisms of miRNA sorting is limited. Here, we provide a protocol using flow cytometry analysis of EV-miRNA that can be used to understand the dynamics of EV-miRNA loading and identify the machinery involved in miRNA export. In this protocol, miRNAs predetermined to be enriched in EVs and depleted from donor cells are conjugated to a fluorophore and transfected into the donor cells. The fluorescently tagged miRNAs are then verified for loading into EVs and depletion from cells using qRT-PCR. As both a transfection control and a tool for gating the transfected population of cells, a fluorescently labeled cellular RNA (cell-retained and EV-depleted) is included. Cells transfected with both the EV-miRNA and cell-retained-miRNA are evaluated for fluorescent signals over the course of 72 h. The fluorescence signal intensity specific for the EV-miRNAs diminishes rapidly compared to the cell-retained miRNA. Using this straightforward protocol, one could now assess the dynamics of miRNA loading and identify various factors responsible for loading miRNAs into EVs.

Author Spotlight: Exploring the Mechanisms of MicroRNA Loading into Extracellular Vesicles in Cancer Progression 

Here, we describe a straightforward protocol that enables in vitro assessment of the abundance of fluorescently labeled microRNAs to study the dynamics of microRNA packaging and export into extracellular vesicles (EVs).

Extracellular vesicles (EVs) are important mediators of cellular communication that are secreted by a variety of different cells. These EVs shuttle ...

Mesenchymal Stem Cell Sample Preparation, Flow Cytometric Analysis, and Cell Sorting

To begin, label two new fax tubes as mixed tubes one and two. Prepare the cell and antibody suspension as per the given table for flow cytometric analysis. After incubating the tubes for 30 minutes, wash each tube two times with one milliliter of staining buffer.Centrifuge the vortexed tubes at 200 G for 10 minutes at room temperature. Then re-suspend the pellet in 500 microliters of staining buffer. Coat the wells of a 48 well plate with 200 to 500 microliters of FBS, and keep for one hour.Then pipette 200 to 500 microliters of 10%MSC media after removing the residual FBS. To prepare the samples for single cell sorting, pipette one milliliter of FBS into two new fax tubes. Roll the tubes to create an even coat of the FBS on the tube's inner surface.Prepare the cell and antibody suspension in mixed tubes one and two, as per the table, for the sorting experiment. Then incubate the tubes in the dark for 30 minutes at room temperature. After washing with staining buffer, centrifuge the tubes at 200 G for 10 minutes at room temperature.Then re-suspend the pellet in 500 microliters of staining buffer and incubate for 15 minutes in five microliters of DAPI before sorting. To set up the compensation matrix, use the single stain compensation tubes. Click on experiment from the toolbar in the instrument software.Then click on compensation setup, followed by create compensation controls. Next, click on unstained tube, followed by parameters in the cytometer dialogue box. Adjust the voltages by editing the values for each parameter.Click on load in the acquisition dashboard and then click acquire. Drag the P-1 gate to the cell population and apply it across all compensation controls to set the voltage and negative gate for each parameter. Now load the single stain compensation tubes individually.Record the data and save it. Select the current experiment, right click on it, and select calculate compensation values, followed by link and save. Run the mixed tube one and record 10, 000 cells.Set the gates on the population of interest to be sorted with the proper gating strategy. Next, load a collection plate into the instrument and set a target cell number, ranging from 2, 500 to 5, 000 cells per well. Then select the single cell sort purity mask.Collect the sorted cell populations in a collection device, keeping them on ice for the duration of the sorting experiment. Finally, shift the plates into a 5%carbon dioxide incubator to maintain the cultures at 37 degrees Celsius. The multi-parametric flow cytometry assays plots showed no expression of the FITC isotype of CD 90 FITC antibodies.Positive expression of the markers CD-90 and CD-73 and negative expression of CD-45 are comparable with that of their unstained and FMO controls. The immuno phenotypes showed the marker distribution from one of the early passages with the ISCT recommended markers and CD-44, determining the parent populations as MSCs. The late passage sheds were used for single cell sorting of high and dim expressors.The post sorted cells collected in the 48 well plate showed adherence and proliferation, like their parent population. The post sorted cells differentiated in the presence of adipogenic growth factors.