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      A Comparative Study of Serum Exosome Isolation Using Differential Ultracentrifugation and Three Commercial Reagents

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          Abstract

          Exosomes play a role in cell-to-cell signaling and serve as possible biomarkers. Isolating exosomes with reliable quality and substantial concentration is a major challenge. Our purpose is to compare the exosomes extracted by three different exosome isolation kits (miRCURY, ExoQuick, and Invitrogen Total Exosome Isolation Reagent) and differential ultracentrifugation (UC) using six different volumes of a non-cancerous human serum (5 ml, 1 ml, 500 μl, 250 μl, 100 μl, and 50 μl) and three different volumes (1 ml, 500 μl and 100 μl) of six individual commercial serum samples collected from human donors. The smaller starting volumes (100 μl and 50 μl) are used to mimic conditions of limited availability of heterogeneous biological samples. The isolated exosomes were characterized based upon size, quantity, zeta potential, CD63 and CD9 protein expression, and exosomal RNA (exRNA) quality and quantity using several complementary methods: nanoparticle tracking analysis (NTA) with ZetaView, western blot, transmission electron microscopy (TEM), the Agilent Bioanalyzer system, and droplet digital PCR (ddPCR). Our NTA results showed that all isolation techniques produced exosomes within the expected size range (40–150 nm). The three kits, though, produced a significantly higher yield (80–300 fold) of exosomes as compared to UC for all serum volumes, except 5 mL. We also found that exosomes isolated by the different techniques and serum volumes had similar zeta potentials to previous studies. Western blot analysis and TEM immunogold labelling confirmed the expression of two common exosomal protein markers, CD63 and CD9, in samples isolated by all techniques. All exosome isolations yielded high quality exRNA, containing mostly small RNA with a peak between 25 and 200 nucleotides in size. ddPCR results indicated that exosomes isolated from similar serum volumes but different isolation techniques rendered similar concentrations of two selected exRNA: hsa-miR-16 and hsa-miR-451. In summary, the three commercial exosome isolation kits are viable alternatives to UC, even when limited amounts of biological samples are available.

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          Most cited references33

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          Comparison of ultracentrifugation, density gradient separation, and immunoaffinity capture methods for isolating human colon cancer cell line LIM1863-derived exosomes.

          Exosomes are 40-100nm extracellular vesicles that are released from a multitude of cell types, and perform diverse cellular functions including intercellular communication, antigen presentation, and transfer of oncogenic proteins as well as mRNA and miRNA. Exosomes have been purified from biological fluids and in vitro cell cultures using a variety of strategies and techniques. However, all preparations invariably contain varying proportions of other membranous vesicles that co-purify with exosomes such as shed microvesicles and apoptotic blebs. Using the colorectal cancer cell line LIM1863 as a cell model, in this study we performed a comprehensive evaluation of current methods used for exosome isolation including ultracentrifugation (UC-Exos), OptiPrep™ density-based separation (DG-Exos), and immunoaffinity capture using anti-EpCAM coated magnetic beads (IAC-Exos). Notably, all isolations contained 40-100nm vesicles, and were positive for exosome markers (Alix, TSG101, HSP70) based on electron microscopy and Western blotting. We employed a proteomic approach to profile the protein composition of exosomes, and label-free spectral counting to evaluate the effectiveness of each method. Based on the number of MS/MS spectra identified for exosome markers and proteins associated with their biogenesis, trafficking, and release, we found IAC-Exos to be the most effective method to isolate exosomes. For example, Alix, TSG101, CD9 and CD81 were significantly higher (at least 2-fold) in IAC-Exos, compared to UG-Exos and DG-Exos. Application of immunoaffinity capture has enabled the identification of proteins including the ESCRT-III component VPS32C/CHMP4C, and the SNARE synaptobrevin 2 (VAMP2) in exosomes for the first time. Additionally, several cancer-related proteins were identified in IAC-Exos including various ephrins (EFNB1, EFNB2) and Eph receptors (EPHA2-8, EPHB1-4), and components involved in Wnt (CTNNB1, TNIK) and Ras (CRK, GRB2) signalling. Copyright © 2012 Elsevier Inc. All rights reserved.
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            Exosomal microRNA: a diagnostic marker for lung cancer.

            To date, there is no screening test for lung cancer shown to affect overall mortality. MicroRNAs (miRNAs) are a class of small noncoding RNA genes found to be abnormally expressed in several types of cancer, suggesting a role in the pathogenesis of human cancer. We evaluated the circulating levels of tumor exosomes, exosomal small RNA, and specific exosomal miRNAs in patients with and without lung adenocarcinoma, correlating the levels with the American Joint Committee on Cancer (AJCC) disease stage to validate it as an acceptable marker for diagnosis and prognosis in patients with adenocarcinoma of the lung. To date, 27 patients with lung adenocarcinoma AJCC stages I-IV and 9 controls, all aged 21-80 years, were enrolled in the study. Small RNA was detected in the circulating exosomes. The mean exosome concentration was 2.85 mg/mL (95% CI, 1.94-3.76) for the lung adenocarcinoma group versus 0.77 mg/mL (95% CI, 0.68-0.86) for the control group (P < .001). The mean miRNA concentration was 158.6 ng/mL (95% CI, 145.7-171.5) for the lung adenocarcinoma group versus 68.1 ng/mL (95% CI, 57.2-78.9) for the control group (P < .001). Comparisons between peripheral circulation miRNA-derived exosomes and miRNA-derived tumors indicated that the miRNA signatures were not significantly different. The significant difference in total exosome and miRNA levels between lung cancer patients and controls, and the similarity between the circulating exosomal miRNA and the tumor-derived miRNA patterns, suggest that circulating exosomal miRNA might be useful as a screening test for lung adenocarcinoma. No correlation between the exosomal miRNA levels and the stage of disease can be made at this point.
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              Critical Evaluation of Nanoparticle Tracking Analysis (NTA) by NanoSight for the Measurement of Nanoparticles and Protein Aggregates

              Purpose To evaluate the nanoparticle tracking analysis (NTA) technique, compare it with dynamic light scattering (DLS) and test its performance in characterizing drug delivery nanoparticles and protein aggregates. Methods Standard polystyrene beads of sizes ranging from 60 to 1,000 nm and physical mixtures thereof were analyzed with NTA and DLS. The influence of different ratios of particle populations was tested. Drug delivery nanoparticles and protein aggregates were analyzed by NTA and DLS. Live monitoring of heat-induced protein aggregation was performed with NTA. Results NTA was shown to accurately analyze the size distribution of monodisperse and polydisperse samples. Sample visualization and individual particle tracking are features that enable a thorough size distribution analysis. The presence of small amounts of large (1,000 nm) particles generally does not compromise the accuracy of NTA measurements, and a broad range of population ratios can easily be detected and accurately sized. NTA proved to be suitable to characterize drug delivery nanoparticles and protein aggregates, complementing DLS. Live monitoring of heat-induced protein aggregation provides information about aggregation kinetics and size of submicron aggregates. Conclusion NTA is a powerful characterization technique that complements DLS and is particularly valuable for analyzing polydisperse nanosized particles and protein aggregates.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                23 January 2017
                2017
                : 12
                : 1
                : e0170628
                Affiliations
                [1 ]Department of Cellular Biology and Anatomy, Augusta University, Augusta, Georgia, United States of America
                [2 ]Department of Neuroscience and Regenerative Medicine, Augusta University, Augusta, Georgia, United States of America
                [3 ]Department of Ophthalmology, Duke University, Durham, North Carolina, United States of America
                [4 ]Department of Biomedical Engineering, Duke University, Durham, North Carolina, United States of America
                [5 ]James & Jean Culver Vision Discovery Institute, Augusta University, Augusta, Georgia, United States of America
                [6 ]Center for Biotechnology and Genomic Medicine, Augusta University, Augusta, Georgia, United States of America
                Universita degli Studi di Torino, ITALY
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                • Conceptualization: YL MWH.

                • Formal analysis: IH JC MDD MS AZ.

                • Investigation: IH JC MDD AZ MBD MLK WMD.

                • Methodology: YL MWH.

                • Project administration: YL MWH WDS.

                • Resources: YL WDS EB MWH.

                • Supervision: YL MWH WDS.

                • Validation: IH JC MDD AZ MBD MLK WMD.

                • Visualization: IH MDD JC AZ.

                • Writing – original draft: IH MDD.

                • Writing – review & editing: IH MDD JC MS MLK AZ MBD WMD EB WDS MWH YL.

                Author information
                http://orcid.org/0000-0002-9294-9277
                http://orcid.org/0000-0003-2870-4504
                Article
                PONE-D-16-40118
                10.1371/journal.pone.0170628
                5256994
                28114422
                220ae58f-d33b-4d69-bbfc-88ef2dfe9fff
                © 2017 Helwa et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 7 October 2016
                : 6 January 2017
                Page count
                Figures: 12, Tables: 1, Pages: 22
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/100001641, Glaucoma Research Foundation;
                Award Recipient :
                Funded by: National Institute on Aging (US)
                Award ID: R01 AG034389
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100000053, National Eye Institute;
                Award ID: R01 EY023242
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100000049, National Institute on Aging;
                Award ID: P01 AG036675
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100000053, National Eye Institute;
                Award ID: F32 EY023468
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100000049, National Institute on Aging;
                Award ID: F32 AG044954
                Award Recipient :
                Funded by: Augusta University Startup Funds
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100006312, BrightFocus Foundation;
                Award Recipient :
                Funded by: The Glaucoma Foundation
                Award Recipient :
                We acknowledge the grant supports from the Glaucoma Research Foundation (YL), BrightFocus Foundation (YL), The Glaucoma Foundation (YL), NIH R01 EY023242 (YL), NIH R01 AG034389 (EB), NIH P01 AG036675 (MWH), NIH F32 EY023468 (WMD), and NIH F32 AG044954 (MBD) as well as the Startup Fund from Augusta University (YL).
                Categories
                Research Article
                Biology and Life Sciences
                Cell Biology
                Cellular Structures and Organelles
                Vesicles
                Exosomes
                Biology and Life Sciences
                Molecular Biology
                Molecular Biology Techniques
                Biomolecular Isolation
                Research and Analysis Methods
                Molecular Biology Techniques
                Biomolecular Isolation
                Biology and life sciences
                Genetics
                Gene expression
                Gene regulation
                MicroRNAs
                Biology and life sciences
                Biochemistry
                Nucleic acids
                RNA
                Non-coding RNA
                MicroRNAs
                Biology and life sciences
                Molecular biology
                Molecular biology techniques
                Biomolecular isolation
                RNA isolation
                Research and analysis methods
                Molecular biology techniques
                Biomolecular isolation
                RNA isolation
                Research and analysis methods
                Extraction techniques
                RNA extraction
                Research and Analysis Methods
                Microscopy
                Electron Microscopy
                Transmission Electron Microscopy
                Biology and Life Sciences
                Molecular Biology
                Molecular Biology Techniques
                Molecular Biology Assays and Analysis Techniques
                Gene Expression and Vector Techniques
                Protein Expression
                Research and Analysis Methods
                Molecular Biology Techniques
                Molecular Biology Assays and Analysis Techniques
                Gene Expression and Vector Techniques
                Protein Expression
                Biology and Life Sciences
                Biochemistry
                Biomarkers
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