Project description:Extracellular vesicles (EVs) are nanoparticles found in all biological fluids, capable of transporting biological material around the body. Extensive research into the physiological role of EVs has led to the development of the Minimal Information for Studies of Extracellular Vesicles (MISEV) framework in 2018. This framework guides the standardisation of protocols in the EV field. To date, the focus has been on EVs of human origin. As comparative medicine progresses, there has been a drive to study similarities between diseases in humans and animals. To successfully research EVs in felines, we must validate the application of the MISEV guidelines in this group. EVs were isolated from the plasma of healthy humans and felines. EV characterisation was carried out according to the MISEV guidelines. Human and feline plasma showed a similar concentration of EVs, comparable expression of known EV markers and analogous particle to protein ratios. Mass spectrometry analyses showed that the proteomic signature of EVs from humans and felines were similar. Asymmetric field flow fractionation showed two distinct subpopulations of EVs isolated from human plasma, whereas only one subpopulation was isolated from feline plasma and metabolomic profiling showed similar profiles for humans and felines. In conclusion, isolation, and characterisation of EVs from humans and felines show that MISEV2018 guidelines may also be applied to felines. Potential comparative medicine studies of EVs may provide a model for studying naturally occurring diseases in both species.
Project description:Extracellular vesicles (EVs) play a crucial role in facilitating intercellular communication. The microRNA profiles carried by EVs often exhibit variations between tumor patients and healthy individuals, making them promising biomarkers. These biomarkers are implicated in oncogenic processes and tumor metastasis upon uptake by recipient cells. To investigate the impact of EV biomarkers on tumorigenesis, we exposed HCT-116 cell lines to EVs isolated from the serum of both tumor patients and healthy individuals. In comparison to cell lines treated with extracellular vesicles (EVs) from healthy individuals and blank controls, cell lines treated with EVs from HCC sources exhibit significant alterations in the expression of certain genes associated with pathways related to liver cancer. Our findings shedlight on the intricate interplay between EVs and tumor progression.
Project description:- Here, we have isolated EVs from the plasma of three different groups Healthy donors (HD), Other febrile illness(OFI), and Severe dengue disease(SDV) by ultracentrifugation process. And proteomics of these EVs analyzed.
Project description:Human pancreatic islets were isolated from pancreas of deceased donors by Ricordi's procedure and cultured in CMRL 1066 medium additioned with human albumin. EVs were isolated from conditioned medium derived from islet culture after isolation. Once isolated, RNA of islets and islet-derived EVs was extracted and analyzed for microRNA expression within 48 hours after isolation.
Project description:Background & aims: MicroRNAs (miRNAs) encapsulated in EVs are potential diagnostic and prognostic biomarkers. However, discrepancies on miRNA patterns and their validation are still frequent due to differences in sample origin, EVs isolation, miRNA extraction and sequencing methods. Selecting appropriate EVs isolation methods is therefore a critical step for miRNA-based biomarker discovery. The aim of the present study is to find the most suitable EVs isolation method for miRNAs sequencing adequate for clinical application. Material & Methods EVs were isolated by Size Exclusion Chromatography (SEC), iodixanol gradients (GRAD) and the combination of both (SEC+GRAD), using the same plasma sample, in triplicate isolation assays. Isolated EVs were characterized and RNA was extracted. Three different protocols for miRNA library preparation were compared (NEBNext, NEXTFlex and SMARTer smRNA-seq) and miRNAs encapsulated on EVs were sequenced using NextSeq 500 system (Illumina). Finally, the yield, abundance and diversity of miRNAs using the three different EVs isolation protocols were analyzed and compared between them. Results The majority of lipoproteins, total cholesterol and plasma proteins were removed from the EVs-containing fractions by using SEC, GRAD, and SEC+GRAD. SEC method recovered a larger amount of EVs followed by GRAD and SEC+GRAD, while GRAD and SEC+GRAD yielded the purest vesicles. NEBNext was the library preparation kit that showed the highest reproducibility among replicas, higher number of reads corresponding to miRNAs and more different miRNAs, followed by NEXTFlex and SMARTer smRNA-seq. GRAD method showed the highest reproducibility among replicas, a higher number of reads corresponding to miRNAs and more different miRNAs, followed by SEC and SEC+GRAD methods. Conclusions These results render the GRAD method to isolate EVs as one of the most appropriate to detect miRNAs from Evs.
Project description:The lack of standardized protocols for isolating extracellular vesicles (EVs), particularly from biobank-stored plasma, poses a substantial limitation for the study of biomarkers. Combining current isolation methods could enhance the specificity and purity of EVs isolation for their further use in diagnosis and personalized medicine. In this study, plasma samples from healthy individuals were subjected to extracellular vesicle isolation using ultracentrifugation (UC), size exclusion chromatography (SEC), and a combined approach of SEC and UC (SEC+UC). Characterization of the isolated EVs with NTA and TEM indicated that all isolation methods successfully isolated EVs, being not altered due to the long-term storage. Also, the western blot analysis confirmed the presence of exosome markers in all isolates but showed a higher expression of albumin in EVs-UC, suggesting potential plasma protein contamination. Proteomic analysis of samples from different isolation methods identified 542 proteins, with SEC+UC yielding the most complex proteome at 364 proteins. GO analysis of cellular component revealed differences in terms related to EVs and plasma, where SEC+UC proteins had the highest proportion of exosomal proteins. As a result of further study of the unique proteins detected in each isolation method, it was revealed that the SEC+UC method detected 181 unique proteins, demonstrating its superiority in the detection of low plasma concentration proteins. These findings support the robustness of the SEC+UC approach for EV isolation and proteomic studies due to its high efficiency and purity in isolating EVs. This study emphasizes the efficacy of the SEC+UC approach in obtaining highly pure and diverse EV populations suitable for comprehensive proteomic analysis with application to the discovery of biomarkers from biobank-stored plasma.
Project description:561 mouse mRNA immunology panel. EVs isolated from mice 3 or 7 days after exposure to 2 or 9 Grays of WBIR and were exposed onto RAW 265.7 macrophages in the presence of LPS in order to assess the gene expression changes in order to analyze the effect of these EVs on the pro-inflammatory response of macrophages. All experimental groups were compared to the exposure of Sham EVs onto macrophages.
Project description:Identification of transcriptional profile of several genes involved in diabetes in islet-derived extracellular vesicles (Evs). Recently, EVs are identified as a new mechanism in cell-to-cell communication by transfer of protein and genic information (mRNA, microRNA). Their role is under investigation in immunology, stem cell and cancer, but not in islets and diabetes. The aim of this experiment is to identify mRNA transcripts (in particular, mRNA transcripts involved in diabetes pathophysiology) present in islet Evs.