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Extracellular RNA

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Cover of 'Extracellular RNA'

Table of Contents

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    Book Overview
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    Chapter 1 Extracellular RNAs: A New Awareness of Old Perspectives
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    Chapter 2 Overview of Protocols for Studying Extracellular RNA and Extracellular Vesicles
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    Chapter 3 Extracellular RNA Isolation from Cell Culture Supernatant
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    Chapter 4 Use of a Hollow Fiber Bioreactor to Collect Extracellular Vesicles from Cells in Culture
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    Chapter 5 Isolation of Extracellular RNA from Serum/Plasma
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    Chapter 6 Isolation of Extracellular RNA from Bile
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    Chapter 7 Cushioned–Density Gradient Ultracentrifugation (C-DGUC): A Refined and High Performance Method for the Isolation, Characterization, and Use of Exosomes
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    Chapter 8 Magnetic Particle-Based Immunoprecipitation of Nanoscale Extracellular Vesicles from Biofluids
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    Chapter 9 Enrichment of Extracellular Vesicle Subpopulations Via Affinity Chromatography
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    Chapter 10 Detection and Analysis of Non-vesicular Extracellular RNA
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    Chapter 11 Isolation of Plasma Lipoproteins as a Source of Extracellular RNA
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    Chapter 12 Droplet Digital PCR for Quantitation of Extracellular RNA
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    Chapter 13 Preparation of Small RNA NGS Libraries from Biofluids
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    Chapter 14 Multiplexed Detection and Quantitation of Extracellular Vesicle RNA Expression Using NanoString
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    Chapter 15 Milk-derived Extracellular Vesicles for Therapeutic Delivery of Small Interfering RNAs
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    Chapter 16 Loading of Extracellular Vesicles with Hydrophobically Modified siRNAs
Attention for Chapter 9: Enrichment of Extracellular Vesicle Subpopulations Via Affinity Chromatography
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Chapter title
Enrichment of Extracellular Vesicle Subpopulations Via Affinity Chromatography
Chapter number 9
Book title
Extracellular RNA
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7652-2_9
Pubmed ID
Book ISBNs
978-1-4939-7651-5, 978-1-4939-7652-2
Authors

Michelle E. Hung, Stephen B. Lenzini, Devin M. Stranford, Joshua N. Leonard

Abstract

Extracellular vesicles (EVs) are secreted nanoscale particles that transfer biomolecular cargo between cells in multicellular organisms. EVs play a variety of roles in intercellular communication and are being explored as potential vehicles for delivery of therapeutic biomolecules. However, EVs are highly heterogeneous in composition and biogenesis route, and this poses substantial challenges for understanding the role of EVs in biology and for harnessing these mechanisms for therapeutic applications, for which purifying therapeutic EVs from mixed EV populations may be necessary. Currently, technologies for isolating EV subsets are limited by overlapping physical properties among EV subsets. To meet this need, here we report an affinity chromatography-based method for enriching a specific EV subset from a heterogeneous EV starting population. By displaying an affinity tagged protein (tag-protein) on the EV surface, tagged EVs may be specifically isolated using simple affinity chromatography. Moreover, recovered EVs are enriched in the tag-protein relative to the starting population of EVs and relative to EVs purified from cell culture supernatant by standard differential centrifugation. Furthermore, chromatographically enriched EVs confer enhanced delivery of a cargo protein to recipient cells (via enhancing the amount of cargo protein per EV) relative to EVs isolated by centrifugation. Altogether, affinity chromatographic enrichment of EV subsets is a viable and facile strategy for investigating EV biology and for harnessing EVs for therapeutic applications.

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Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 24%
Student > Doctoral Student 4 16%
Student > Master 3 12%
Professor 2 8%
Student > Bachelor 2 8%
Other 2 8%
Unknown 6 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 24%
Agricultural and Biological Sciences 3 12%
Medicine and Dentistry 2 8%
Environmental Science 1 4%
Chemical Engineering 1 4%
Other 4 16%
Unknown 8 32%