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Hsia T, You DG, Politis MG, Batool SM, Ekanayake E, Lee H, Carter BS, Balaj L. Rigorous Comparison of Extracellular Vesicle Processing to Enhance Downstream Analysis for Glioblastoma Characterization. Adv Biol (Weinh) 2024; 8:e2300233. [PMID: 37670402 DOI: 10.1002/adbi.202300233] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Revised: 07/28/2023] [Indexed: 09/07/2023]
Abstract
Extracellular vesicles (EVs) are highly sought after as a source of biomarkers for disease detection and monitoring. Tumor EV isolation, processing, and evaluation from biofluids is convoluted by EV heterogeneity and biological contaminants and is limited by technical processing efficacy. This study rigorously compares common bulk EV isolation workflows (size exclusion chromatography, SEC; membrane affinity, MA) alongside downstream RNA extraction protocols to investigate molecular analyte recovery. EV integrity and recovery is evaluated using a variety of technologies to quantify total intact EVs, total and surface proteins, and RNA purity and recovery. A comprehensive evaluation of each analyte is performed, with a specific emphasis on maintaining user (n = 2), biological (n = 3), and technical replicates (n≥3) under in vitro conditions. Subsequent study of tumor EV spike-in into healthy donor plasma samples is performed to further validate biofluid-derived EV purity and isolation for clinical application. Results show that EV surface integrity is considerably preserved in eluates from SEC-derived EVs, but RNA recovery and purity, as well as bulk protein isolation, is significantly improved in MA-isolated EVs. This study concludes that EV isolation and RNA extraction pipelines govern recovered analyte integrity, necessitating careful selection of processing modality to enhance recovery of the analyte of interest.
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Affiliation(s)
- Tiffaney Hsia
- Department of Neurosurgery, Massachusetts General Hospital, 185 Cambridge Street, Boston, MA, 02114, USA
| | - Dong Gil You
- Department of Neurosurgery, Massachusetts General Hospital, 185 Cambridge Street, Boston, MA, 02114, USA
| | - Michelle Garlin Politis
- Center for Systems Biology, Massachusetts General Hospital, 185 Cambridge Street, Boston, MA, 02114, USA
| | - Syeda Maheen Batool
- Department of Neurosurgery, Massachusetts General Hospital, 185 Cambridge Street, Boston, MA, 02114, USA
| | - Emil Ekanayake
- Department of Neurosurgery, Massachusetts General Hospital, 185 Cambridge Street, Boston, MA, 02114, USA
| | - Hakho Lee
- Center for Systems Biology, Massachusetts General Hospital, 185 Cambridge Street, Boston, MA, 02114, USA
- Department of Radiology, Massachusetts General Hospital, 55 Fruit Street, Boston, MA, 02114, USA
| | - Bob S Carter
- Department of Neurosurgery, Massachusetts General Hospital, 185 Cambridge Street, Boston, MA, 02114, USA
- Department of Neurosurgery, Harvard Medical School, 25 Shattuck Street, Boston, MA, 02115, USA
| | - Leonora Balaj
- Department of Neurosurgery, Massachusetts General Hospital, 185 Cambridge Street, Boston, MA, 02114, USA
- Department of Neurosurgery, Harvard Medical School, 25 Shattuck Street, Boston, MA, 02115, USA
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Dong L, Zieren RC, Horie K, Kim C, Mallick E, Jing Y, Feng M, Kuczler MD, Green J, Amend SR, Witwer KW, de Reijke TM, Cho Y, Pienta KJ, Xue W. Comprehensive evaluation of methods for small extracellular vesicles separation from human plasma, urine and cell culture medium. J Extracell Vesicles 2020; 10:e12044. [PMID: 33489012 PMCID: PMC7810129 DOI: 10.1002/jev2.12044] [Citation(s) in RCA: 84] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2020] [Revised: 10/22/2020] [Accepted: 11/30/2020] [Indexed: 12/13/2022] Open
Abstract
One of the challenges that restricts the evolving extracellular vesicle (EV) research field is the lack of a consensus method for EV separation. This may also explain the diversity of the experimental results, as co-separated soluble proteins and lipoproteins may impede the interpretation of experimental findings. In this study, we comprehensively evaluated the EV yields and sample purities of three most popular EV separation methods, ultracentrifugation, precipitation and size exclusion chromatography combined with ultrafiltration, along with a microfluidic tangential flow filtration device, Exodisc, in three commonly used biological samples, cell culture medium, human urine and plasma. Single EV phenotyping and density-gradient ultracentrifugation were used to understand the proportion of true EVs in particle separations. Our findings suggest Exodisc has the best EV yield though it may co-separate contaminants when the non-EV particle levels are high in input materials. We found no 100% pure EV preparations due to the overlap of their size and density with many non-EV particles in biofluids. Precipitation has the lowest sample purity, regardless of sample type. The purities of the other techniques may vary in different sample types and are largely dependent on their working principles and the intrinsic composition of the input sample. Researchers should choose the proper separation method according to the sample type, downstream analysis and their working scenarios.
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Affiliation(s)
- Liang Dong
- The Brady Urological InstituteJohns Hopkins University School of MedicineBaltimoreMarylandUSA
- Department of Urology, Renji HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Richard C. Zieren
- The Brady Urological InstituteJohns Hopkins University School of MedicineBaltimoreMarylandUSA
- Department of Urology, Amsterdam UMCUniversity of AmsterdamAmsterdamthe Netherlands
| | - Kengo Horie
- The Brady Urological InstituteJohns Hopkins University School of MedicineBaltimoreMarylandUSA
- Department of UrologyGifu University Graduate School of MedicineGifuJapan
| | - Chi‐Ju Kim
- The Brady Urological InstituteJohns Hopkins University School of MedicineBaltimoreMarylandUSA
- Department of Biomedical Engineering, School of Life SciencesUlsan National Institute of Science and Technology (UNIST)UlsanRepublic of Korea
| | - Emily Mallick
- Department of Molecular and Comparative PathobiologyJohns Hopkins University School of MedicineBaltimoreMarylandUSA
| | - Yuezhou Jing
- The Brady Urological InstituteJohns Hopkins University School of MedicineBaltimoreMarylandUSA
| | - Mingxiao Feng
- The Brady Urological InstituteJohns Hopkins University School of MedicineBaltimoreMarylandUSA
| | - Morgan D. Kuczler
- The Brady Urological InstituteJohns Hopkins University School of MedicineBaltimoreMarylandUSA
| | - Jordan Green
- Department of Biomedical Engineering, Institute for NanoBioTechnology, and Translational Tissue Engineering CenterJohns Hopkins University School of MedicineBaltimoreMarylandUSA
| | - Sarah R. Amend
- The Brady Urological InstituteJohns Hopkins University School of MedicineBaltimoreMarylandUSA
| | - Kenneth W. Witwer
- Department of Molecular and Comparative PathobiologyJohns Hopkins University School of MedicineBaltimoreMarylandUSA
- Department of NeurologyJohns Hopkins University School of MedicineBaltimoreMarylandUSA
| | - Theo M. de Reijke
- Department of Urology, Amsterdam UMCUniversity of AmsterdamAmsterdamthe Netherlands
| | - Yoon‐Kyoung Cho
- Department of Biomedical Engineering, School of Life SciencesUlsan National Institute of Science and Technology (UNIST)UlsanRepublic of Korea
- Center for Soft and Living MatterInstitute for Basic Science (IBS)UlsanRepublic of Korea
| | - Kenneth J. Pienta
- The Brady Urological InstituteJohns Hopkins University School of MedicineBaltimoreMarylandUSA
| | - Wei Xue
- Department of Urology, Renji HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
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