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Simple and Fast SEC-Based Protocol to Isolate Human Plasma-Derived Extracellular Vesicles for Transcriptional Research.
- Source :
-
Molecular therapy. Methods & clinical development [Mol Ther Methods Clin Dev] 2020 Jul 15; Vol. 18, pp. 723-737. Date of Electronic Publication: 2020 Jul 15 (Print Publication: 2020). - Publication Year :
- 2020
-
Abstract
- Extracellular vesicles (EVs) are membranous structures that protect RNAs from damage when circulating in complex biological fluids, such as plasma. RNAs are extremely specific to health and disease, being powerful tools for diagnosis, treatment response monitoring, and development of new therapeutic strategies for several diseases. In this context, EVs are potential sources of disease biomarkers and promising delivery vehicles. However, standardized and reproducible EV isolation protocols easy to implement in clinical practice are missing. Here, a size exclusion chromatography-based protocol for EV-isolation from human plasma was optimized. We propose a workflow to isolate EVs for transcriptional research that allows concomitant analysis of particle number and size, total protein, and quantification of a major plasma contaminant. This protocol yields 7.54 × 10 <superscript>9</superscript>  ± 1.22 × 10 <superscript>8</superscript> particles, quantified by nanoparticle tracking analysis, with a mean size of 115.7 ± 11.12 nm and a mode size of 83.13 ± 4.72 nm, in a ratio of 1.19 × 10 <superscript>10</superscript>  ± 7.38 × 10 <superscript>9</superscript> particles/μg of protein, determined by Micro Bicinchoninic Acid (BCA) Protein Assay, and 3.09 ± 0.7 ng RNA, assessed by fluorescence-based RNA-quantitation, from only 900 μL of plasma. The protocol is fast and easy to implement and has potential for application in biomarkers research, therapeutic strategies development, and clinical practice.<br /> (© 2020.)
Details
- Language :
- English
- ISSN :
- 2329-0501
- Volume :
- 18
- Database :
- MEDLINE
- Journal :
- Molecular therapy. Methods & clinical development
- Publication Type :
- Academic Journal
- Accession number :
- 32913880
- Full Text :
- https://doi.org/10.1016/j.omtm.2020.07.012