Quantification Of Extracellular Vesicles Research Articles

Shining a light on fluorescent EV dyes: Evaluating efficacy, specificity and suitability by nano-flow cytometry.

Extracellular vesicles (EVs) are mediators of intercellular communication, recently recognised for their clinical applications. Accurate characterisation and quantification of EVs are critical for understanding of their function and clinical relevance. Many platforms utilise fluorescence for EV characterisation, frequently labelling surface proteins to identify EVs. The heterogeneity of EVs and the lack of a universal protein marker encourages the use of generic EV labelling methods, including membrane labelling. Using nano-flow cytometry, we evaluated six membrane dyes, including MemGlow and CellMask. Evaluation criteria included EV labelling efficacy, non-specific labelling of very low-density lipoproteins (VLDLs), brightness and dye aggregation. Significant variation was observed in dye performance, with certain dyes showing poor EV labelling efficacy or high affinity to VLDLs. Importantly, several promising candidates were identified for further investigation. Overall, this study highlights the importance of selecting appropriate membrane dyes for EV staining tailored to the aims of the study and the EV origin. MemGlow and CellMask proved favourable, allowing bright, sensitive staining of EV membranes with minimal aggregation. However, MemGlow showed an affinity to VLDLs, and CellMask requires additional sample handling for optimal labelling. These results contribute to deepening our understanding of EV membrane dyes, allowing for better dye selection and EV identification in future studies.

Comparison of nanoimaging and nanoflow based detection of extracellular vesicles at a single particle resolution.

The characterization of single extracellular vesicle (EV) has been an emerging tool for the early detection of various diseases despite there being challenges regarding how to interpret data with different protocols or instruments. In this work, standard EV particles were characterized for single CD9+, single CD81+ or double CD9+/CD81+ tetraspanin molecule positivity with two single EV analytic technologies in order to optimize their EV sample preparation after antibody labelling and analysis methods: NanoImager for direct stochastic optical reconstruction microscopy (dSTORM)-based EV imaging and characterization, and Flow NanoAnalyzer for flow-based EV quantification and characterization. False positives from antibody aggregates were found during dSTORM-based NanoImager imaging. Analysis of particle radius with lognormal fittings of probability density histogram enabled the removal of antibody aggregates and corrected EV quantification. Furthermore, different machine learning models were trained to differentiate antibody aggregates from EV particles and correct EV quantification with increased double CD9+/CD81+ population. With Flow NanoAnalyzer, EV samples were prepared with different dilution or fractionation methods, which increased the detection rate of CD9+/CD81+ EV population. Comparing the EV phenotype percentages measured by two instruments, differences in double positive and single positive particles existed after percentage correction, which might be due to the different detection limit of each instrument. Our study reveals that the characterization of individual EVs for tetraspanin positivity varies between two platforms-the NanoImager and the Flow NanoAnalyzer-depending on the EV sample preparation methods used after antibody labelling. Additionally, we applied machine learning models to correct for false positive particles identified in imaging-based results by fitting size distribution data.

High-resolution spiral microfluidic channel integrated electrochemical device for isolation and detection of extracellular vesicles without lipoprotein contamination

Recent studies have indicated significant correlation between the concentration of immune checkpoint markers borne by extracellular vesicles (EVs) and the efficacy of immunotherapy. This study introduces a high-resolution spiral microfluidic channel-integrated electrochemical device (HiMEc), which is designed to isolate and detect EVs carrying the immune checkpoint markers programmed death ligand 1 (PD-L1) and programmed death protein 1 (PD-1), devoid of plasma-abundant lipoprotein contamination. Antigen-antibody reactions were applied to immobilize the lipoproteins on bead surfaces within the plasma, establishing a size differential with EVs. A plasma sample was then introduced into the spiral microfluidic channel, which facilitated the acquisition of nanometer-sized EVs and the elimination of micrometer-sized lipoprotein-bead complexes, along with the isolation and quantification of EVs using HiMEc. PD-L1 and PD-1 expression on EVs was evaluated in 30 plasma samples (10 from healthy donors, 20 from lung cancer patients) using HiMEc and compared to the results obtained from standard tissue-based PD-L1 testing, noting that HiMEc could be utilized to select further potential candidates. The obtained results are expected to contribute positively to the clinical assessment of potential immunotherapy beneficiaries.

Platinum-perovskite nanocomposite-based Exosensor for specific detection of prostate cancer in clinical settings.

Exosomes, extracellular vesicles (EVs) with an average size of 50-150nm, transfer various biomolecules and exchange signaling molecules between cells in a paracrine manner. Molecular investigations have revealed that EVs can reflect real-time metabolic changes in normal- and cancer-origin cells and thus harbor valid diagnostic biomarkers. Despite these advantages, the detection of low concentrations of cancer cell EVs in biological fluids is still a great challenge. Here, a new electrochemical Exosensor based on platinum-perovskite is developed for the direct detection of EVs using a biotinylated monoclonal CD63 antibody as a capture element. The label-free method exhibited higher sensitivity with a lower limit of quantification of 2000 EVs/µL with a dynamic linear range (LDR) of 2000 to 14,000 EVs/μL compared with other available methods. To enhance the selectivity of detection, EVs were simultaneously sandwiched between secondary antibodies of PSA (prostate-specific antigen), as an FDA-approved prostate cancer biomarker. Data indicated that this Exosensor can distinguish normal and cancer EVs in samples from healthy individuals and prostate cancer patients. Taken together, this technology offers a unique approach to label-free quantification of EVs and cancer detection in the early stages.

Identification and Quantification of Extracellular Vesicles: Comparison of SDS-PAGE Analysis and Biosensor Analysis with QCM and IDT Chips.

This study presents and compares two methods for identifying the types of extracellular vesicles (EVs) from different cell lines. Through SDS-PAGE analysis, we discovered that the ratio of CD63 to CD81 in different EVs is consistent and distinct, making it a reliable characteristic for recognizing EVs secreted by cancer cells. However, the electrophoresis and imaging processes may introduce errors in the concentration values, especially at lower concentrations, rendering this method potentially less effective. An alternative approach involves the use of quartz crystal microbalance (QCM) and electroanalytical interdigitated electrode (IDT) biosensors for EV type identification and quantification. The QCM frequency shift caused by EVs is directly proportional to their concentration, while electroanalysis relies on measuring the curvature of the I-V curve as a distinguishing feature, which is also proportional to EV concentration. Linear regression lines for the QCM frequency shift and the electroanalysis curvature of various EV types are plotted separately, enabling the estimation of the corresponding concentration for an unknown EV type on the graphs. By intersecting the results from both biosensors, the unknown EV type can be identified. The biosensor analysis method proves to be an effective means of analyzing both the type and concentration of EVs from different cell lines.

Differential extracellular vesicle concentration and their biomarker expression of integrin αv/β5, EpCAM, and glypican-1 in pancreatic cancer models

Tumor-derived extracellular vesicles (EVs) show great potential as biomarkers for several diseases, including pancreatic cancer, due to their roles in cancer development and progression. However, the challenge of utilizing EVs as biomarkers lies in their inherent heterogeneity in terms of size and concentration, making accurate quantification difficult, which is highly dependent on the isolation and quantification methods used. In our study, we compared three EV isolation techniques and two EV quantification methods. We observed variations in EV concentration, with approximately 1.5-fold differences depending on the quantification method used. Interestingly, all EV isolation techniques consistently yielded similar EV quantities, overall size distribution, and modal sizes. In contrast, we found a notable increase in total EV amounts in samples from pancreatic cancer cell lines, mouse models, and patient plasma, compared to non-cancerous conditions. Moreover, individual tumor-derived EVs exhibited at least a 3-fold increase in several EV biomarkers. Our data, obtained from EVs isolated using various techniques and quantified through different methods, as well as originating from various pancreatic cancer models, suggests that EV profiling holds promise for the identification of unique and cancer-specific biomarkers in pancreatic cancer.

Ultrasensitive quantification of PD-L1+ extracellular vesicles in melanoma patient plasma using a parallelized high throughput droplet digital assay.

The expression of programmed death-ligand 1 (PD-L1) on extracellular vesicles (EVs) is an emerging biomarker for cancer, and has gained particular interest for its role mediating immunotherapy. However, precise quantification of PD-L1+ EVs in clinical samples remains challenging due to their sparse concentration and the enormity of the number of background EVs in human plasma, limiting applicability of conventional approaches. In this study, we develop a high-throughput droplet-based extracellular vesicle analysis (DEVA) assay for ultrasensitive quantification of EVs in plasma that are dual positive for both PD-L1 and tetraspanin (CD81) known to be expressed on EVs. We achieve a performance that significantly surpasses conventional approaches, demonstrating 360× enhancement in the limit of detection (LOD) and a 750× improvement in the limit of quantitation (LOQ) compared to conventional plate enzyme-linked immunoassay (ELISA). Underlying this performance is DEVA's high throughput analysis of individual EVs one at a time and the high specificity to targeted EVs versus background. We achieve a 0.006% false positive rate per droplet by leveraging avidity effects that arise from EVs having multiple copies of their target ligands on their surface. We use parallelized optofluidics to rapidly process 10 million droplets per minute, ∼100× greater than conventional approaches. A validation study on a cohort of 14 patients with melanoma confirms DEVA's ability to match conventional ELISA measurements with reduced plasma sample volume and without the need for prior EV purification. This proof-of-concept study demonstrates DEVA's potential for clinical utility to enhance prognosis as well as guide treatment for cancer.

Extracellular vesicle storm during the course of Ebola virus infection in primates.

Ebola virus (EBOV) is an RNA virus of the Filoviridae family that is responsible for outbreaks of hemorrhagic fevers in primates with a lethality rate as high as 90%. EBOV primarily targets host macrophages leading to cell activation and systemic cytokine storm, and fatal infection is associated with an inhibited interferon response, and lymphopenia. The EBOV surface glycoprotein (GP) has been shown to directly induce T cell depletion and can be secreted outside the virion via extracellular vesicles (EVs), though most studies are limited to epithelial cells and underlying mechanisms remain poorly elucidated. To assess the role of GP on EBOV-induced dysregulation of host immunity, we first utilized EBOV virus-like particles (VLPs) expressing VP40 and NP either alone (Bald-VLP) or in conjunction with GP (VLP-GP) to investigate early inflammatory responses in THP-1 macrophages and in a murine model. We then sought to decipher the role of non-classical inflammatory mediators such as EVs over the course of EBOV infection in two EBOV-infected rhesus macaques by isolating and characterizing circulatory EVs throughout disease progression using size exclusion chromatography, nanoparticle tracking-analysis, and LC-MS/MS. While all VLPs could induce inflammatory mediators and recruit small peritoneal macrophages, pro-inflammatory cytokine and chemokine gene expression was exacerbated by the presence of GP. Further, quantification of EVs isolated from infected rhesus macaques revealed that the concentration of vesicles peaked in circulation at the terminal stage, at which time EBOV GP could be detected in host-derived exosomes. Moreover, comparative proteomics conducted across EV populations isolated from serum at various time points before and after infection revealed differences in host-derived protein content that were most significantly pronounced at the endpoint of infection, including significant expression of mediators of TLR4 signaling. These results suggest a dynamic role for EVs in the modification of disease states in the context of EBOV. Overall, our work highlights the importance of viral factors, such as the GP, and host derived EVs in the inflammatory cascade and pathogenesis of EBOV, which can be collectively further exploited for novel antiviral development.

Concentric gradient nanoplasmonic sensors for detecting tumor-derived extracellular vesicles

Quantification of tumor-derived extracellular vesicles (EVs) holds great promise for early cancer diagnosis and prognosis. Developing a rapid and straightforward EV detection platform is essential for timely and specific diagnostics. In this study, we present a novel concentric gradient nanoplasmonic (CGN) sensor to achieve sensitive and label-free EV quantification. The CGN sensor features wafer-scale gradient plasmonic nanostructures, converting resonance wavelength shift into a change in centimeter-scale transmission pattern. Through functionalization with smaller aptamers, a more sensitive area is reserved for EV surface proteins, facilitating the dynamic binding of EVs, which is recorded by a CCD camera to establish a correlation between pattern movement and EV attachment. We quantitatively characterized EVs derived from A549 and MCF-7 cancer cell lines by integrating the CGN sensor into a microfluidic device. With a high sensing performance of 9.23 × 10−5 RIU, we achieved real-time measurements of EV binding as low as 143 femtomolar. Furthermore, the CGN sensor exhibited excellent sensitivity in detecting EVs from cancer patient plasma. We also designed a compact imaging-based sensing device employing an LED and a CCD camera. This device combines the simplicity of large-area and real-time imaging with the robustness of spectroscopic approaches, making it highly promising for point-of-care diagnostics.

Label-free discrimination of extracellular vesicles from large lipoproteins.

Extracellular vesicles (EVs) are increasingly gaining interest as biomarkers and therapeutics. Accurate sizing and quantification of EVs remain problematic, given their nanometre size range and small scattering cross-sections. This is compounded by the fact that common EV isolation methods result in co-isolation of particles with comparable features. Especially in blood plasma, similarly-sized lipoproteins outnumber EVs to a great extent. Recently, interferometric nanoparticle tracking analysis (iNTA) was introduced as a particle analysis method that enables determining the size and refractive index of nanoparticles with high sensitivity and precision. In this work, we apply iNTA to differentiate between EVs and lipoproteins, and compare its performance to conventional nanoparticle tracking analysis (NTA). We show that iNTA can accurately quantify EVs in artificial EV-lipoprotein mixtures and in plasma-derived EV samples of varying complexity. Conventional NTA could not report on EV numbers, as it was not able to distinguish EVs from lipoproteins. iNTA has the potential to become a new standard for label-free EV characterization in suspension.

One-Minute Iodine Isotope Labeling Technology Enables Noninvasive Tracking and Quantification of Extracellular Vesicles in Tumor Lesions and Intact Animals.

Real-time monitoring of the biological behavior of extracellular vesicles (EVs) in vivo is limited, which hinders its application in biomedicine and clinical translation. A noninvasive imaging strategy could provide us with useful information on EVs' distribution, accumulation and homing in vivo, and pharmacokinetics. In this study, the long half-life radionuclide iodine-124 (124I) was used to directly label umbilical cord mesenchymal stem cell-derived EVs. The resulting probe, namely, 124I-MSC-EVs, was manufactured and ready to use within 1 min. 124I-labeled MSC-EVs had high radiochemical purity (RCP, >99.4%) and stable in 5% human serum album (HSA) with RCP > 95% for 96 h. We demonstrated efficient intracellular internalization of 124I-MSC-EVs in two prostate cancer cell lines (22RV1 and DU145 cell). The uptake rates of 124I-MSC-EVs in human prostate cancer cell lines 22RV1 and DU145 cells were 10.35 ± 0.78 and 2.56 ± 0.21 (AD%) at 4 h. The promising cellular data has prompted us to investigate the biodistribution and in vivo tracking capability of this isotope-based labeling technique in tumor bearing animals. Using positron emission tomography (PET) technology, we showed that the signal from intravenously injected 124I-MSC-EVs mainly accumulated in the heart, liver, spleen, lung, and kidney in healthy kun ming (KM) mice, and the biodistribution study was similar to the imaging results. In the 22RV1 xenograft model, 124I-MSC-EVs accumulated significantly in the tumor after administration, and with the optimal image acquired at 48 h postinjection, the maximum of standard uptake value (SUVmax) of the tumor was 3-fold higher than that of DU145. Taken together, the probe has a high application prospect in immuno-PET imaging of EVs. Our technique provides a powerful and convenient tool for understanding the biological behavior and pharmacokinetic characteristics of EVs in vivo and facilitates the acquirement of comprehensive and objective data for future clinical studies of EVs.

Highly efficient labelling of extracellular vesicles for enhanced detection on a microfluidic platform

Developing precise extracellular vesicles (EVs) labelling techniques with minimal disturbance is of great importance to the follow-up EVs detection and analysis. However, currently available methods such as using probes to conjugate phospholipids or membrane proteins have certain limitations due to EV steric hindrance, dye aggregation, etc. Here, we present a microfluidic platform to enhance EVs’ labelling efficiency and improve their detection. This platform provides excellent sample throughput and high-efficiency EV labelling at lower label concentrations with an optimized flowing rate. Flow cytometry analysis (FCM) and cellular uptake results show that EV labelling by utilizing this platform possesses the merits of a higher labelling efficiency with 64.1% relative improvement than conventional co-incubation method and a lower background noise. Moreover, this technique maintains EVs’ size, morphology and biological activities. After the recipient cells uptake the EVs treated by the microfluidic platform, the spatial and temporal distribution of EVs in the cells are clearly observed. These results demonstrate that our method holds great potential in efficient labelling of EVs, which is essential to subsequent EV quantification and analysis.

Abstract 3297: Deep reactive ion etched microneedle array for in-vivo melanoma cancer monitoring via cancer exosome isolation

Abstract This study reports a deep-reactive-ion-etched microneedle device (ExoNeedle chip) coated with a hybrid hydrogel that can directly capture cancer-associated extracellular vesicles (EVs) in interstitial fluid (ISF) in a minimally invasive manner, as opposed to conventional liquid biopsy methods involving sample extraction and EV isolation in-vitro or tissue biopsies for melanoma. Tumor derived EVs give insight into a tumor’s mutational burden and provide both prognostic and diagnostic value as a liquid biopsy tool. Melanoma is an aggressive cancer with a lack of promising markers for early detection, onset of metastasis, and monitoring of recurrence. The ExoNeedle chip is intended to pierce through the epidermis and parts of the dermis to isolate melanoma secreted EVs from the ISF to alleviate these unmet needs. The microneedle arrays were created through the Deep Reactive Ion Etching (DRIE) process and a subsequent wet etching step to sharpen the needles. A 4 inch silicon wafer spin coated with 3 microns of positive photoresist was lithographically patterned and etched by DRIE using the standard Bosch processes to expose arrays of cylindrical pillars. Next, the cylindrical features were sharpened using an isotropic wet etch consisting of a mixture of hydrofluoric and nitric acid. The microneedle arrays were made and cleaved into individual patches. Meanwhile, hybrid hydrogel solution was made from Polyvinyl alcohol (PVA) and alginate by dissolving each of them separately in water under heat, followed by mixing the solutions. After centrifuging and filtering the hydrogel, it was conjugated with Annexin V (Av) protein to give it affinity for cancerous exosomes. Lastly, this hydrogel complex was added onto the microneedle patches and gelated with the help of a humidifier that deposited Ca2+ ion vapor over the hydrogel. The microneedles were first optimized and validated using melanoma cell line secreted EVs. Melanoma EVs were successfully isolated and quantified to evaluate the efficacy of the microneedle patches yielding above an 80% capture efficiency from purified serum samples. The microneedle patches were DiO stained, fluorescently imaged, visualized in a scanning electron microscope, and protein concentration was determined respectfully. Additionally, the functional hydrogel coatings on the microneedles are dissolved in ethylenediaminetetraacetic acid (EDTA), subsequently unbinding EVs from Av due to EDTA-based Ca2+ chelation. The dissolved solution is then used for enumeration and quantification of EVs by nanoparticle tracking analysis. We are further validating these patches in skin mimicking models and patient derived xenograft models of melanoma. The technology developed in this study for the isolation of melanoma EVs can broadly pave the way for minimally invasive point of care cancer diagnostics and tracking for melanoma patients. Citation Format: Scott M. Smith, Abha Kumari, Thiago Reis, Yoon-Tae Kang, Sunitha Nagrath. Deep reactive ion etched microneedle array for in-vivo melanoma cancer monitoring via cancer exosome isolation [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 3297.

A Versatile Design-Enabled Analysis of Circulating Extracellular Vesicles in Disease Diagnosis.

Circulating extracellular vesicles (EVs) are considered as potential biomarkers for treatment and diagnosis of many diseases. Most of the existing methods for the EV analysis only have a single function and thus reveal limited information carried by EVs. Herein, a phosphatidylserine-targeting peptide-facilitated design that enables the versatile analysis of circulating EVs for varying requirement is proposed. In the design, DNA probes are inserted into the EV membrane through hydrophobic interactions, and accelerate the removal of protective shielding from DNA-gated metal-organic framework, thereby releasing a large number of methylene blue molecules to amplify the electrochemical signal. Electrochemical results demonstrate equally high sensitivities toward the quantification of EVs derived from different cell sources using an indiscriminative DNA probe. More importantly, the probe can be endowed with extended function for more accurate classification of cell-specific features through the identification of specific EV biomarkers, and demonstrates the potential use in the diagnosis of cardiovascular in a principle-of-proof study for clinical application. Therefore, the method provides a versatile design for the identification of EV features, and may address the needs of clinical diagnosis in the future.

Inside Front Cover: Rapid isolation and quantification of extracellular vesicles from suspension‐adapted human embryonic kidney cells using capillary‐channeled polymer fiber spin‐down tips

Inside Front Cover: Rapid isolation and quantification of extracellular vesicles from suspension‐adapted human embryonic kidney cells using capillary‐channeled polymer fiber spin‐down tips

Offline Coupling of Asymmetrical Flow Field-Flow Fractionation and Capillary Electrophoresis for Separation of Extracellular Vesicles.

Extracellular vesicles (EVs) play important roles in cell-to-cell communications and carry high potential as markers targeted in disease diagnosis, prognosis, and therapeutic development. The main obstacles to EV study are their high heterogeneity; low amounts present in samples; and physical similarity to the abundant, interfering matrix components. Multiple rounds of separation and purification are often needed prior to EV characterization and function assessment. Herein, we report the offline coupling of asymmetrical flow field-flow fractionation (AF4) and capillary electrophoresis (CE) for EV analysis. While AF4 provides gentle and fast EV separation by size, CE resolves EVs from contaminants with similar sizes but different surface charges. Employing Western Blotting, ELISA, and SEM, we confirmed that intact EVs were eluted within a stable time window under the optimal AF4 and CE conditions. We also proved that EVs could be resolved from free proteins and high-density lipoproteins by AF4 and be further separated from the low-density lipoproteins co-eluted in AF4. The effectiveness of the coupled AF4-CE system in EV analysis was demonstrated by monitoring the changes in EV secretion from cells and by direct injection of human serum and detection of serum EVs. We believe that coupling AF4 and CE can provide rapid EV quantification in biological samples with much reduced matrix interference and be valuable for the study of total EVs and EV subpopulations produced by cells or present in clinical samples.

Environmental noise reduction for tunable resistive pulse sensing of extracellular vesicles.

Extracellular vesicles (EVs) bearing biomolecules from parental cells can represent a novel source of disease biomarkers and are under intensive study for their clinical potential. Tunable resistive pulse sensing (TRPS) quantifies the magnitude of a small ionic resistive pulse current to determine the size, concentration, and zeta potential of EVs. Environmental noise is a common limiting factor that affects the precision of sensing devices. TRPS is particularly vulnerable to environmental noise, including both mechanical and electrical. The upper detection limit of the TRPS relies on the physical size of the elastomeric tunable nanopore. The lower limit relies on the electrical signal-to-noise ratio. Guided by simulation, we designed an external device to suppress environmental noise for TRPS measurement. Both mechanical and electrical environmental noise reductions were observed after using the shield. The study also validated the noise reduction function of the shield by quantifying EVs from different cell origins. Detection of EVs smaller than 200 nm was improved by using the shield; which was reported challenging for conventional quantification methods. The study highlighted a feasible approach to solve environmental noise challenges for TRPS based EV quantification.

P14.05.B Plasma-EV based liquid biopsy for precision medicine in the treatment of glioblastoma

Abstract Background Glioblastoma (GBM) is a devastating and protean brain tumor. Diagnosis and molecular characterization rely on magnetic resonance imaging and brain biopsy which are challenged by low specificity/sensitivity and surgical risks. This hampers the longitudinal monitoring of patients with GBM, whose molecular dynamism ideally requires to refine the therapeutic plan in different disease stages. Extracellular vesicles (EVs) shed by GBM act as a reservoir of circulating biomarkers and can be easily collected through a blood sample, placing the rational to exploit them as a platform for liquid biopsy in GBM. Material and Methods We isolated EVs from 2ml of pre-operative platelet-free plasma by Size Exclusion Chromatography (SEC). EVs are characterized by (i) immunoblot and Fluorescent-Activated Cell Sorter (FACS) for the presence of EV markers; (ii) TEM for morphology and size; (iii) Nanoparticle Tracking Analysis (NTA) for size and concentration; (iv) RNAseq and ddPCR for EV-associated nucleic acid profiling. Results SEC allowed to define EV-enriched fractions expressing the EV-markers CD9, CD81, Flotillin1, lacking the non-EV marker Calnexin and depleted of the majority of plasma contaminants. EV quantification by NTA confirmed their enrichment in the plasma from GBM patients. EV-RNA length (< 200nt) and total yield (1-10ng among different samples) allowed a successful RNAseq library preparation for downstream identification of splicing isoforms, translocations, fused mRNAs, and expression level of GBM-specific transcripts. The ddPCR-based analysis of mutations and copy number alterations proved the ability of cell-derived EV-DNA to recapitulate the alterations of the parental cells. Although the yield of plasma-EV-DNA is low (around 1ng), this paves the way to optimize the isolation/analysis of plasma EV-DNA to permit tumor profiling. Conclusion Plasma-EV based liquid biopsy could implement the personalisation of GBM care for every timepoint of the disease course. Increased plasma-EV concentration is an effective biomarker for GBM presence and its measurement well suits with the clinical routine. EV-RNA/DNA mirror the genomic profile of parental tumor and their analysis could allow the identification of actionable molecular aberrations and the monitoring of GBM mutability during follow-up. Thus, the multilayered analysis of plasma-EV concentration and cargo could enable GBM early diagnosis and to monitor therapy response and the whole tumor evolution.

Rapid isolation and quantification of extracellular vesicles from suspension-adapted human embryonic kidney cells using capillary-channeled polymer fiber spin-down tips.

Exosomes, a subset of extracellular vesicles (EVs, 30-200-nm diameter), serve as biomolecular snapshots of their cell of origin and vehicles for intercellular communication, playing roles in biological processes, including homeostasis maintenance and immune modulation. The large-scale processing of exosomes for use as therapeutic vectors has been proposed, but these applications are limited by impure, low-yield recoveries from cell culture milieu (CCM). Current isolation methods are also limited by tedious and laborious workflows, especially toward an isolation of EVs from CCM for therapeutic applications. Employed is a rapid (<10min) EV isolation method on a capillary-channeled polymer fiber spin-down tip format. EVs are isolated from the CCM of suspension-adapted human embryonic kidney cells (HEK293), one of the candidate cell lines for commercial EV production. This batch solid-phase extraction technique allows 1012 EVs to be obtained from only 100-µl aliquots of milieu, processed using a benchtop centrifuge. The tip-isolated EVs were characterized using transmission electron microscopy, multi-angle light scattering, absorbance quantification, an enzyme-linked immunosorbent assay to tetraspanin marker proteins, and a protein purity assay. It is believed that the demonstrated approach has immediate relevance in research and analytical laboratories, with opportunities for production-level scale-up projected.

Quantification of Desiccated Extracellular Vesicles by Quartz Crystal Microbalance.

Extracellular vesicle (EV) quantification is a procedure through which the biomedical potential of EVs can be used and their biological function can be understood. The number of EVs isolated from cell culture media depends on the cell status and is especially important in studies on cell-to-cell signaling, disease modeling, drug development, etc. Currently, the methods that can be used to quantify isolated EVs are sparse, and each have limitations. In this report, we introduce the application of a quartz crystal microbalance (QCM) as a biosensor for quantifying EVs in a small drop of volatile solvent after it evaporates and leaves desiccated EVs on the surface of the quartz crystal. The shifts in the crystal’s resonant frequency were found to obey Sauerbrey’s relation for EV quantities up to 6 × 107, and it was determined that the biosensors could resolve samples that differ by at least 2.7 × 105 EVs. A ring-shaped pattern enriched in EVs after the samples had dried on the quartz crystal is also reported and discussed. QCM technology is highly sensitive and only requires small sample volumes and is significantly less costly compared with the approaches that are currently used for EV quantification.