Journal of Extracellular Vesicles最新文献

B cell maturation is crucial for effective adaptive immunity. It requires a complex signalling network to mediate antibody diversification through mutagenesis. B cells also rely on queues from other cells within the germinal centre. Recently, a novel class of intercellular signals mediated by extracellular vesicles (EVs) has emerged. Studies have shown that B cell EV-mediated signalling is involved in immune response regulation and tumorigenesis. However, the mechanistic role of B cell EVs is not yet established. We herein study the biological properties and physiological function of B cell EVs during B cell maturation. We use emerging technologies to profile B cell EV surface marker signatures at the single particle level, molecular cargo and physiological roles in B cell maturation. EV ncRNA cargo, characterised by RNA-seq, identified an EV-mediated novel non-coding RNA (ncRNA) regulatory network for B cell maturation. We show that a previously uncharacterised micro-RNA (miR-5099) in combination with a set of long ncRNA are carried within B cell EVs and could contribute to antibody diversification. The physiological role of EVs in B cell maturation is investigated using EV blockade assays and complementation studies using diverse EV sources further confirmed the physiological role and mode of action of EVs in B cell maturation.

The application of extracellular vesicles (EVs) as therapeutics or nanocarriers in cell-free therapies necessitates meticulous evaluations of different features, including their identity, bioactivity, batch-to-batch reproducibility, and stability. Given the inherent heterogeneity in EV preparations, this assessment demands sensitive functional assays to provide key quality control metrics, complementing established methods to ensure that EV preparations meet the required functionality and quality standards. Here, we introduce the detectEV assay, an enzymatic-based approach for assessing EV luminal cargo bioactivity and membrane integrity. This method is fast, cost-effective, and quantifiable through enzymatic units. Utilizing microalgae-derived EVs, known as nanoalgosomes, as model systems, we optimised the assay parameters and validated its sensitivity and specificity in quantifying the enzymatic activity of esterases within the EV lumen while also evaluating EV membrane integrity. Compared to conventional methods that assess physicochemical features of EVs, our single-step analysis efficiently detects batch-to-batch variations by evaluating changes in luminal cargo bioactivity and integrity across various EV samples, including differences under distinct storage conditions and following diverse isolation and exogenous loading methods, all using small sample sizes. The detectEV assay's application to various human-derived EV types demonstrated its versatility and potential universality. Additionally, the assay effectively predicted EV functionality, such as the antioxidant activity of different nanoalgosome batches. Our findings underscore the detectEV assay's utility in comprehensive characterization of EV functionality and integrity, enhancing batch-to-batch reproducibility and facilitating their therapeutic applications.

Extracellular vesicles (EVs) can be isolated and purified from cell cultures and biofluids using different methodologies. Here, we explored a novel EV isolation approach by combining superabsorbent polymers (SAP) in a dialysis membrane with size exclusion chromatography (SEC) to achieve high concentration and purity of EVs without the use of ultracentrifugation (UC). Suspension HEK293 cells transfected with CD63 coupled with Thermo Luciferase were used to quantify the EV yield and purity. The 500 mL conditioned medium volume was initially reduced by pressure ultrafiltration, followed by UC, SAP or a centrifugal filter unit (CFU). Using either of these methods, the EVs were concentrated to a final volume of approximately 1 mL, with retained functionality. The yield, quantified by luciferase activity, was highest with UC (70%-80%), followed by SAP (60%-70%) and CFU (50%-60%). Further purification of the EVs was performed by iodixanol density cushion (IDC) or SEC (Sepharose CL-2B or 6B, in either 10 or 20 mL columns). Although the IDC and Sepharose CL-2B (10 mL) achieved the highest yields, the purity was slightly higher (30%) with IDC. In conclusion, combining SAP concentration with CL-2B SEC is an alternative and efficient way to isolate EVs without using UC.

Microglial phagocytosis of haematomas is crucial for neural functional recovery following intracerebral haemorrhage (ICH), a process regulated by various factors from within and outside the central nervous system (CNS). Extracellular vesicles (EVs), significant mediators of intercellular communication, have been demonstrated to play a pivotal role in the pathogenesis and progression of CNS diseases. However, the regulatory role of endogenous EVs on the phagocytic capacity of microglia post-ICH remains elusive. Utilising multi-omics analysis of brain tissue-derived EVs proteomics and single-cell RNA sequencing, this study identified that bone marrow-derived macrophages (BMDMs) potentially enhance microglial phagocytosis via EVs following ICH. By blocking BMDMs and reducing ARG1 in BMDM-derived EVs, we demonstrated that BMDMs facilitate erythrophagocytosis by delivering ARG1 to microglia via EVs post-ICH. EVs-carried ARG1 was found to augment phagocytosis by promoting RAC1-dependent cytoskeletal remodelling in microglia. Collectively, this research uncovers an intercellular communication pathway from BMDMs to microglia mediated by EVs post-ICH. This provides a novel paradigm for EV-mediated intercellular communication mechanisms and suggests a promising therapeutic potential for BMDM-derived EVs in the treatment of ICH.

Proteomic profiling of small extracellular vesicles (sEV) is a powerful tool for discovering biomarkers of various diseases. This process most often assisted by mass spectrometry (MS) usually lacks standardization and recognition of challenges which may lead to unreliable results. General recommendations for sEV MS analyses have been briefly given in the MISEV2023 guidelines. The present work goes into detail for every step of sEV protein profiling with an overview of factors influencing such analyses. This includes reporting and defining the sEV source and vesicle isolation, protein solubilization and digestion, ‘offline’ and ‘online’ sample complexity reduction, the analysis type itself, and subsequent data analysis. Every stage in this process affects the others, which could result in different outcomes. Although characterization and comparisons of different sEV isolation methods are known and accessible and MS-based profiling details are provided for cell or tissue samples, no consensus work has been ever published to describe the whole process of sEV proteomic analysis. Reliable results can be obtained from sEV profiling provided that the analysis is well planned, prepared for, and backed by pilot studies or appropriate research.

Intercellular communication via extracellular vesicles (EVs) has been identified as a vital component of a steadily expanding number of physiological and pathological processes. To accommodate these roles, EVs have highly heterogeneous molecular compositions. Given that surface molecules on EVs determine their interactions with their environment, EV functionality likely differs between subpopulations with varying surface compositions. However, it has been technically challenging to examine such functional heterogeneity due to a lack of non-destructive methods to separate EV subpopulations based on their surface markers. Here, we used the Design-of-Experiments (DoE) methodology to optimize a protocol, which we name ‘EV-Elute’, to elute intact EVs from commercially available Protein G-coated magnetic beads. We captured EVs from various cell types on these beads using antibodies against CD9, CD63, CD81 and a custom-made protein binding phosphatidylserine (PS). When applying EV-Elute, over 70% of bound EVs could be recovered from the beads in a pH- and incubation-time-dependent fashion. EV subpopulations showed intact integrity by electron microscopy and Proteinase K protection assays and showed uptake patterns similar to whole EV isolates in co-cultures of peripheral blood mononuclear cells (PBMCs) and endothelial cells. However, in Cas9/sgRNA delivery assays, CD63⁺ EVs showed a lower capacity to functionally deliver cargo as compared to CD9⁺, CD81⁺ and PS⁺ EVs. Taken together, we developed a novel, easy-to-use platform to isolate and functionally compare surface marker-defined EV subpopulations. This platform does not require specialized equipment or reagents and is universally applicable to any capturing antibody and EV source. Hence, EV-Elute can open new opportunities to study EV functionality at the subpopulation level.

T-cell haematological malignancies progress rapidly and have a high mortality rate and effective treatments are still lacking. Here, we developed a drug delivery system utilizing 293T cell-derived extracellular vesicles (EVs) modified with an anti-CD7 single-chain variable fragment (αCD7/EVs). Given the challenges of chemotherapy resistance in patients with T-cell malignancy, we selected cytochrome C (CytC) and Bcl2 siRNA (siBcl2) as therapeutic agents and loaded them into αCD7/EVs (αCD7/EVs/CytC/siBcl2). We found that αCD7/EVs efficiently targeted and were internalized by human T-ALL Molt-4 cells. In addition, the interaction between αCD7 and CD7 switched the EV entry pathway in Molt-4 cells from macropinocytosis-dependent endocytosis to clathrin-mediated endocytosis, thereby reducing EV-lysosome colocalization, ultimately improving CytC delivery efficiency and increasing the cytotoxicity of nascent EVs from EV-treated Molt-4 cells. Notably, αCD7/EVs/CytC/siBcl2 demonstrated similar efficacy against both Molt-4 and chemotherapy-resistant Molt-4 cells (CR-Molt-4). Furthermore, αCD7/EVs/CytC/siBcl2 exhibited high safety, low immunogenicity and minimal impact on human T cells. Therefore, αCD7/EVs/CytC/siBcl2 are promising therapeutic approaches for treating CD7⁺ T-cell malignancies.

Due to their intercellular communication properties and involvement in a wide range of biological processes, extracellular vesicles (EVs) are increasingly being studied and exploited for different applications. Nevertheless, their complex nature and heterogeneity, as well as the challenges related to their purification and characterization procedures, require a cautious assessment of the qualitative and quantitative parameters that need to be monitored. This translates into a multitude of choices and putative solutions that any EV researcher must confront in both research and translational environments. In this respect, decision-making tools may help assess various options, weigh pros and cons, and ultimately arrive at a thought-out decision that considers both the best fit-to-source and fit-to-scope EV application(s). Here, we present a multi-criteria EV decision-making grid (EV-DMG) as a novel, efficient, customizable, and easy-to-use tool to support EV research and innovation. By identifying and weighing key assessment criteria for comparing distinct EV-based preparations and related processes, our EV-DMG may assist any EV community member in making informed, traceable, and reproducible decisions regarding the management of EV sources or samples. Ultimately, this EV-DMG may guide the adoption of the most suitable EV production and analytical pipelines for targeting a defined aim or application.

Palviainen, M., Puutio, J., Østergaard, R. H., Eble, J. A., Maaninka, K., Butt, U., Ndika, J., Kari, O. K., Kamali-Moghaddam, M., Kjaer-Sorensen, K., Oxvig, C., Aransay, A. M., Falcon-Perez, J. M., Federico, A., Greco, D., Laitinen, S., Hayashi, Y., & Siljander, P. R.-M. (2024). Beyond basic characterization and omics: Immunomodulatory roles of platelet-derived extracellular vesicles unveiled by functional testing. Journal of Extracellular Vesicles, 13, e12513. https://doi.org/10.1002/jev2.12513

In Figure 1(f), the 14 hpi column showed the same image in the first row and the second row, whereas it should instead show a high contrast image of the first row following a different colour scheme as correctly shown in the other three columns (1, 4 and 7 hpi). This has been corrected by replacing the image in question. This does not affect the scientific content or the conclusion, since the results have already been fully presented in the first row of images, whereas the second row shows the same results with visual enhancement to highlight two of the three colours for clarity. There was also a typo in the label for the second row “(High constrast)”, which should have read “(High contrast)”.

In Figure 1(a), in the bright-field image, the scale bar was not fully shown. This has also been corrected by adjusting its position.

We apologize for these errors.

In recent years, extracellular vesicles (EVs) have emerged as novel key players in plant–microbe interactions. While it is immensely useful to draw on the established “minimal information for studies of extracellular vesicles” (MISEV) guidelines and precedents in mammalian systems, working with plants and their associated microbes poses specific challenges. To navigate researchers through these obstacles, we offer detailed step-by-step suggestions for those embarking on EV research in the context of plant–microbe interactions. The advice is based on recent publications and our collective experience from the diverse plant and microbe systems studied in a dedicated research consortium. We provide considerations for experimental design, optimization, quality control, and recommendations on how to increase yield, purity, and reproducibility of EV isolation. With this perspective article, we aim not only to assist researchers in our field but also to promote discussions on plant and microbe EVs in the broader EV community.