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Yu J, Huang D, Liu H, Cai H. Optimizing Conditions of Polyethylene Glycol Precipitation for Exosomes Isolation From MSCs Culture Media for Regenerative Treatment. Biotechnol J 2024; 19:e202400374. [PMID: 39295548 DOI: 10.1002/biot.202400374] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2024] [Revised: 08/28/2024] [Accepted: 09/02/2024] [Indexed: 09/21/2024]
Abstract
Mesenchymal stem cell (MSC)-derived exosomes, as a cell-free alternative to MSCs, offer enhanced safety and significant potential in regenerative medicine. However, isolating these exosomes poses a challenge, complicating their broader application. Commonly used methods like ultracentrifugation (UC) and tangential flow filtration are often impractical due to the requirement for costly instruments and ultrafiltration membranes. Additionally, the high cost of commercial kits limits their use in processing large sample volumes. Polyethylene glycol (PEG) precipitation offers a more convenient and cost-effective alternative, but there is a critical need for optimized and standardized isolation protocols using PEG precipitation across different cell types and fluids to ensure consistent quality and yield. In this work, we optimized the PEG precipitation method for exosomes isolation and compared its effectiveness to two commonly used methods: UC and commercial exosome isolation kits (ExoQuick). The recovery rate of the optimized PEG method (about 61.74%) was comparable to that of the commercial ExoQuick kit (about 62.19%), which was significantly higher than UC (about 45.80%). Exosome cargo analysis validated no significant differences in miRNA and protein profiles associated with the proliferation and migration of exosomes isolated by UC and PEG precipitation, which was confirmed by gap closure and CCK8 assays. These findings suggest that PEG-based exosomes isolation could be a highly efficient and high-quality method and may facilitate the development of exosome-based therapies for regenerative medicine.
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Affiliation(s)
- Junjun Yu
- State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai, P. R. China
| | - Daqiang Huang
- State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai, P. R. China
| | - Hanwen Liu
- State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai, P. R. China
| | - Haibo Cai
- State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai, P. R. China
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Sharafeldin M, Yan S, Jiang C, Tofaris GK, Davis JJ. Alternating Magnetic Field-Promoted Nanoparticle Mixing: The On-Chip Immunocapture of Serum Neuronal Exosomes for Parkinson's Disease Diagnostics. Anal Chem 2023; 95:7906-7913. [PMID: 37167073 DOI: 10.1021/acs.analchem.3c00357] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/13/2023]
Abstract
The analysis of cargo proteins in exosome subpopulations has considerable value in diagnostics but a translatable impact has been limited by lengthy or complex exosome extraction protocols. We describe herein a scalable, fast, and low-cost exosome extraction using an alternating (AC) magnetic field to support the dynamic mixing of antibody-coated magnetic beads (MBs) with serum samples within 3D-printed microfluidic chips. Zwitterionic polymer-coated MBs are, specifically, magnetically agitated and support ultraclean exosome capture efficiencies >70% from <50 μL of neat serum in 30 min. Applied herein to the immunocapture of neuronal exosomes using anti-L1CAM antibodies, prior to the array-based assaying of α-synuclein (α-syn) content by a standard duplex electrochemical sandwich ELISA, sub pg/mL detection was possible with an excellent coefficient of variation and a sample-to-answer time of ∼75 min. The high performance and semiautomation of this approach hold promise in underpinning low-cost Parkinson's disease diagnostics and is of value in exosomal biomarker analyses more generally.
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Affiliation(s)
- Mohamed Sharafeldin
- Department of Chemistry, University of Oxford, South Parks Road, Oxford OX1 3QZ, U.K
- Department of Chemistry, University of Otago, Dunedin 9054, New Zealand
| | - Shijun Yan
- Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, Oxford OX3 9DU, U.K
- Kavli Institute for Nanoscience Discovery, Dorothy Crowfoot Hodgkin Building, University of Oxford, Oxford OX1 3QU, U.K
| | - Cheng Jiang
- Department of Chemistry, University of Oxford, South Parks Road, Oxford OX1 3QZ, U.K
- Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, Oxford OX3 9DU, U.K
- Kavli Institute for Nanoscience Discovery, Dorothy Crowfoot Hodgkin Building, University of Oxford, Oxford OX1 3QU, U.K
| | - George K Tofaris
- Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, Oxford OX3 9DU, U.K
- Kavli Institute for Nanoscience Discovery, Dorothy Crowfoot Hodgkin Building, University of Oxford, Oxford OX1 3QU, U.K
| | - Jason J Davis
- Department of Chemistry, University of Oxford, South Parks Road, Oxford OX1 3QZ, U.K
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