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Simple and Fast SEC-Based Protocol to Isolate Human Plasma-Derived Extracellular Vesicles for Transcriptional Research

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...

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Autores principales: Gaspar, Laetitia S., Santana, Magda M., Henriques, Carina, Pinto, Maria M., Ribeiro-Rodrigues, Teresa M., Girão, Henrique, Nobre, Rui Jorge, Pereira de Almeida, Luís
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society of Gene & Cell Therapy 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7452272/
https://www.ncbi.nlm.nih.gov/pubmed/32913880
http://dx.doi.org/10.1016/j.omtm.2020.07.012
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author Gaspar, Laetitia S.
Santana, Magda M.
Henriques, Carina
Pinto, Maria M.
Ribeiro-Rodrigues, Teresa M.
Girão, Henrique
Nobre, Rui Jorge
Pereira de Almeida, Luís
author_facet Gaspar, Laetitia S.
Santana, Magda M.
Henriques, Carina
Pinto, Maria M.
Ribeiro-Rodrigues, Teresa M.
Girão, Henrique
Nobre, Rui Jorge
Pereira de Almeida, Luís
author_sort Gaspar, Laetitia S.
collection PubMed
description 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(9) ± 1.22 × 10(8) 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(10) ± 7.38 × 10(9) 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.
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spelling pubmed-74522722020-09-09 Simple and Fast SEC-Based Protocol to Isolate Human Plasma-Derived Extracellular Vesicles for Transcriptional Research Gaspar, Laetitia S. Santana, Magda M. Henriques, Carina Pinto, Maria M. Ribeiro-Rodrigues, Teresa M. Girão, Henrique Nobre, Rui Jorge Pereira de Almeida, Luís Mol Ther Methods Clin Dev Article 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(9) ± 1.22 × 10(8) 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(10) ± 7.38 × 10(9) 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. American Society of Gene & Cell Therapy 2020-07-15 /pmc/articles/PMC7452272/ /pubmed/32913880 http://dx.doi.org/10.1016/j.omtm.2020.07.012 Text en © 2020. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Gaspar, Laetitia S.
Santana, Magda M.
Henriques, Carina
Pinto, Maria M.
Ribeiro-Rodrigues, Teresa M.
Girão, Henrique
Nobre, Rui Jorge
Pereira de Almeida, Luís
Simple and Fast SEC-Based Protocol to Isolate Human Plasma-Derived Extracellular Vesicles for Transcriptional Research
title Simple and Fast SEC-Based Protocol to Isolate Human Plasma-Derived Extracellular Vesicles for Transcriptional Research
title_full Simple and Fast SEC-Based Protocol to Isolate Human Plasma-Derived Extracellular Vesicles for Transcriptional Research
title_fullStr Simple and Fast SEC-Based Protocol to Isolate Human Plasma-Derived Extracellular Vesicles for Transcriptional Research
title_full_unstemmed Simple and Fast SEC-Based Protocol to Isolate Human Plasma-Derived Extracellular Vesicles for Transcriptional Research
title_short Simple and Fast SEC-Based Protocol to Isolate Human Plasma-Derived Extracellular Vesicles for Transcriptional Research
title_sort simple and fast sec-based protocol to isolate human plasma-derived extracellular vesicles for transcriptional research
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7452272/
https://www.ncbi.nlm.nih.gov/pubmed/32913880
http://dx.doi.org/10.1016/j.omtm.2020.07.012
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