112 research outputs found
Reproducibility of extracellular vesicle research
Publisher Copyright: © 2022Cells release membrane-delimited particles into the environment. These particles are called “extracellular vesicles” (EVs), and EVs are present in fluids contacting cells, including body fluids and conditioned culture media. Because EVs change and contribute to health and disease, EVs have become a hot topic. From the thousands of papers now published on EVs annually, one easily gets the impression that EVs provide biomarkers for all diseases, and that EVs are carriers of all relevant biomolecules and are omnipotent therapeutics. At the same time, EVs are heterogeneous, elusive and difficult to study due to their physical properties and the complex composition of their environment. This overview addresses the current challenges encountered when working with EVs, and how we envision that most of these challenges will be overcome in the near future. Right now, an infrastructure is being developed to improve the reproducibility of EV measurement results. This infrastructure comprises expert task forces of the International Society of Extracellular Vesicles (ISEV) developing guidelines and recommendations, instrument calibration, standardized and transparent reporting, and education. Altogether, these developments will support the credibility of EV research by introducing robust reproducibility, which is a prerequisite for understanding their biological significance and biomarker potential.Peer reviewe
3D Cell Cultures as Prospective Models to Study Extracellular Vesicles in Cancer
The improvement of culturing techniques to model the environment and physiological
conditions surrounding tumors has also been applied to the study of extracellular vesicles (EVs)
in cancer research. EVs role is not only limited to cell-to-cell communication in tumor physiology,
they are also a promising source of biomarkers, and a tool to deliver drugs and induce antitumoral
activity. In the present review, we have addressed the improvements achieved by using 3D culture
models to evaluate the role of EVs in tumor progression and the potential applications of EVs in
diagnostics and therapeutics. The most employed assays are gel-based spheroids, often utilized to
examine the cell invasion rate and angiogenesis markers upon EVs treatment. To study EVs as drug
carriers, a more complex multicellular cultures and organoids from cancer stem cell populations
have been developed. Such strategies provide a closer response to in vivo physiology observed
responses. They are also the best models to understand the complex interactions between different
populations of cells and the extracellular matrix, in which tumor-derived EVs modify epithelial or
mesenchymal cells to become protumor agents. Finally, the growth of cells in 3D bioreactor-like
systems is appointed as the best approach to industrial EVs production, a necessary step toward
clinical translation of EVs-based therapy.The review is supported by Spanish Ministry of Science and Innovation, within the national
Plan RTI2018-094969-B-I00, and Excellence Severo Ochoa grant Innovative Research Grant (SEV-2016-
0644), and by the European Union’s Horizon 2020 research and innovation program, grant number
860303
Metabolomics Applied to the Study of Extracellular Vesicles
Cell-secreted extracellular vesicles (EVs) have rapidly gained prominence as sources of biomarkers for non-invasive biopsies, owing to their ubiquity across human biofluids and physiological stability. There are many characterisation studies directed towards their protein, nucleic acid, lipid and glycan content, but more recently the metabolomic analysis of EV content has also gained traction. Several EV metabolite biomarker candidates have been identified across a range of diseases, including liver disease and cancers of the prostate and pancreas. Beyond clinical applications, metabolomics has also elucidated possible mechanisms of action underlying EV function, such as the arginase-mediated relaxation of pulmonary arteries or the delivery of nutrients to tumours by vesicles. However, whilst the value of EV metabolomics is clear, there are challenges inherent to working with these entities—particularly in relation to sample production and preparation. The biomolecular composition of EVs is known to change drastically depending on the isolation method used, and recent evidence has demonstrated that changes in cell culture systems impact upon the metabolome of the resulting EVs. This review aims to collect recent advances in the EV metabolomics field whilst also introducing researchers interested in this area to practical pitfalls in applying metabolomics to EV studies
ISG15 Is a Novel Regulator of Lipid Metabolism during Vaccinia Virus Infection.
Interferon-stimulated gene 15 (ISG15) is a 15-kDa ubiquitin-like modifier that binds to target proteins in a process termed ISGylation. ISG15, first described as an antiviral molecule against many viruses, participates in numerous cellular processes, from immune modulation to the regulation of genome stability. Interestingly, the role of ISG15 as a regulator of cell metabolism has recently gained strength. We previously described ISG15 as a regulator of mitochondrial functions in bone marrow-derived macrophages (BMDMs) in the context of Vaccinia virus (VACV) infection. Here, we demonstrate that ISG15 regulates lipid metabolism in BMDMs and that ISG15 is necessary to modulate the impact of VACV infection on lipid metabolism. We show that Isg15-/- BMDMs demonstrate alterations in the levels of several key proteins of lipid metabolism that result in differences in the lipid profile compared with Isg15+/+ (wild-type [WT]) BMDMs. Specifically, Isg15-/- BMDMs present reduced levels of neutral lipids, reflected by decreased lipid droplet number. These alterations are linked to increased levels of lipases and are independent of enhanced fatty acid oxidation (FAO). Moreover, we demonstrate that VACV causes a dysregulation in the proteomes of BMDMs and alterations in the lipid content of these cells, which appear exacerbated in Isg15-/- BMDMs. Such metabolic changes are likely caused by increased expression of the metabolic regulators peroxisome proliferator-activated receptor-γ (PPARγ) and PPARγ coactivator-1α (PGC-1α). In summary, our results highlight that ISG15 controls BMDM lipid metabolism during viral infections, suggesting that ISG15 is an important host factor to restrain VACV impact on cell metabolism. IMPORTANCE The functions of ISG15 are continuously expanding, and growing evidence supports its role as a relevant modulator of cell metabolism. In this work, we highlight how the absence of ISG15 impacts macrophage lipid metabolism in the context of viral infections and how poxviruses modulate metabolism to ensure successful replication. Our results open the door to new advances in the comprehension of macrophage immunometabolism and the interaction between VACV and the host.We thank the expert technical assistance of Sara Sandoval. We are grateful to Miguel
Sánchez-Álvarez who has kindly provided several commercial reagents. We would like
to thank the Spanish National Plan for Scientific and Technical Research and Innovation
(Plan Estatal de Investigación Científica y Técnica y de Innovación), (Ministry of Health
of Spain, State Secretary of R1D and FEDER/FSE).S
Qualitative and quantitative characterization of exosomes secreted by rat hepatocytes
Comunicaciones a congreso
A Metabolomics Signature Linked To Liver Fibrosis In The Serum Of Transplanted Hepatitis C Patients
Liver fibrosis must be evaluated in patients with hepatitis C virus (HCV) after liver transplantation because its severity affects their prognosis and the recurrence of HCV. Since invasive biopsy is still the gold standard to identify patients at risk of graft loss from rapid fibrosis progression, it becomes crucial the development of new accurate, non-invasive methods that allow repetitive examination of the patients. Therefore, we have developed a non-invasive, accurate model to distinguish those patients with different liver fibrosis stages. Two hundred and three patients with HCV were histologically classified (METAVIR) into five categories of fibrosis one year after liver transplantation. In this cross-sectional study, patients at fibrosis stages F0-F1 (n = 134) were categorised as "slow fibrosers" and F2-F4 (n = 69) as "rapid fibrosers". Chloroform/methanol serum extracts were analysed by reverse ultra-high performance liquid chromatography coupled to mass spectrometry. A diagnostic model was built through linear discriminant analyses. An algorithm consisting of two sphingomyelins and two phosphatidylcholines accurately classifies rapid and slow fibrosers after transplantation. The proposed model yielded an AUROC of 0.92, 71% sensitivity, 85% specificity, and 84% accuracy. Moreover, specific bile acids and sphingomyelins increased notably along with liver fibrosis severity, differentiating between rapid and slow fibrosers
Tetraspanin-decorated extracellular vesicle-mimetics as a novel adaptable reference material
Features like small size, low refractive index and polydispersity pose challenges to the currently available detection methods for Extracellular Vesicles (EVs). In addition, the lack of appropriate standards to set up the experimental conditions makes it difficult to compare analyses obtained by different technical approaches. By modifying synthetic nanovesicles with recombinant antigenic regions of EV-enriched tetraspanins, we aimed to construct an EV-mimetic that can be used as a suitable standard for EV analyses. To this end, the sequences of the large extracellular loops of the tetraspanins CD9, CD63 and CD81 were tagged with a target sequence for the biotin ligase BirA, and co-transformed with a BirA expression plasmid into Escherichia coli. GST fusion proteins were then isolated by affinity chromatography and released using thrombin. Biotinylated recombinant tetraspanin-loops were then coupled to (strept)avidin-coated synthetic nanovesicles and analysed and characterised by Dot-blot, Western-blot, Nanoparticle Tracking Analysis, Flow Cytometry and Transmission Electron Microscopy. With this method, we were able to efficiently produce tetraspanin-domain decorated nanovesicles that share biophysical properties with natural EVs, can be detected using specific antibodies against common EV markers such as tetraspanins, and can be used as robust reference materials for detection techniques that are often used in the EV field.This research was supported by grants from Fundación Ramón Areces and Ministerio de Economía y Competitividad (BFU2014-55478-R, REDIEX. SAF2015-71231-REDT, BIO201786500-R) cofounded by FEDER funds. E.L-A. was supported by the European Social Fund, GEIVEX Mobility and Universidad Autónoma de Madrid STS fellow ships,as well as by the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No.72214
N-Glycans in Immortalized Mesenchymal Stromal Cell-Derived Extracellular Vesicles Are Critical for EV-Cell Interaction and Functional Activation of Endothelial Cells
Mesenchymal stromal cell-derived extracellular vesicles (MSC-EV) are widely considered as a cell-free therapeutic alternative to MSC cell administration, due to their immunomodulatory and regenerative properties. However, the interaction mechanisms between EV and target cells are not fully understood. The surface glycans could be key players in EV-cell communication, being specific molecular recognition patterns that are still little explored. In this study, we focused on the role of N-glycosylation of MSC-EV as mediators of MSC-EV and endothelial cells' interaction for subsequent EV uptake and the induction of cell migration and angiogenesis. For that, EV from immortalized Wharton's Jelly MSC (iWJ-MSC-EV) were isolated by size exclusion chromatography (SEC) and treated with the glycosidase PNGase-F in order to remove wild-type N-glycans. Then, CFSE-labelled iWJ-MSC-EV were tested in the context of in vitro capture, agarose-spot migration and matrigel-based tube formation assays, using HUVEC. As a result, we found that the N-glycosylation in iWJ-MSC-EV is critical for interaction with HUVEC cells. iWJ-MSC-EV were captured by HUVEC, stimulating their tube-like formation ability and promoting their recruitment. Conversely, the removal of N-glycans through PNGase-F treatment reduced all of these functional activities induced by native iWJ-MSC-EV. Finally, comparative lectin arrays of iWJ-MSC-EV and PNGase-F-treated iWJ-MSC-EV found marked differences in the surface glycosylation pattern, particularly in N-acetylglucosamine, mannose, and fucose-binding lectins. Taken together, our results highlight the importance of N-glycans in MSC-EV to permit EV-cell interactions and associated functions
miRanalyzer: a microRNA detection and analysis tool for next-generation sequencing experiments
Next-generation sequencing allows now the sequencing of small RNA molecules and the estimation of their expression levels. Consequently, there will be a high demand of bioinformatics tools to cope with the several gigabytes of sequence data generated in each single deep-sequencing experiment. Given this scene, we developed miRanalyzer, a web server tool for the analysis of deep-sequencing experiments for small RNAs. The web server tool requires a simple input file containing a list of unique reads and its copy numbers (expression levels). Using these data, miRanalyzer (i) detects all known microRNA sequences annotated in miRBase, (ii) finds all perfect matches against other libraries of transcribed sequences and (iii) predicts new microRNAs. The prediction of new microRNAs is an especially important point as there are many species with very few known microRNAs. Therefore, we implemented a highly accurate machine learning algorithm for the prediction of new microRNAs that reaches AUC values of 97.9% and recall values of up to 75% on unseen data. The web tool summarizes all the described steps in a single output page, which provides a comprehensive overview of the analysis, adding links to more detailed output pages for each analysis module. miRanalyzer is available at http://web.bioinformatics.cicbiogune.es/microRNA/
Exosomes as Hedgehog carriers in cytoneme-mediated transport and secretion
The Hedgehog signalling pathway is crucial for development, adult stem cell maintenance, cell migration and axon guidance in a wide range of organisms. During development, the Hh morphogen directs tissue patterning according to a concentration gradient. Lipid modifications on Hh are needed to achieve graded distribution, leading to debate about how Hh is transported to target cells despite being membrane-tethered. Cytonemes in the region of Hh signalling have been shown to be essential for gradient formation, but the carrier of the morphogen is yet to be defined. Here we show that Hh and its co-receptor Ihog are in exovesicles transported via cytonemes. These exovesicles present protein markers and other features of exosomes. Moreover, the cell machinery for exosome formation is necessary for normal Hh secretion and graded signalling. We propose Hh transport via exosomes along cytonemes as a significant mechanism for the restricted distribution of a lipid-modified morphogen.PostprintPeer reviewe
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