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ISEV position paper: extracellular vesicle RNA analysis and bioinformatics

Open access
Hill, Andrew F., Pegtel, D. Michiel, Lambertz, Ulrike, Leonardi, Tommaso, O'Driscoll, Lorraine, Pluchino, Stefano, Ter‐Ovanesyan, Dmitry, Nolte‐‘t Hoen, Esther N.M.·2013·Journal of Extracellular Vesicles

Abstract

Extracellular vesicles (EVs) are the collective term for the various vesicles that are released by cells into the extracellular space. Such vesicles include exosomes and microvesicles, which vary by their size and/or protein and genetic cargo. With the discovery that EVs contain genetic material in the form of RNA (evRNA) has come the increased interest in these vesicles for their potential use as sources of disease biomarkers and potential therapeutic agents. Rapid developments in the availability of deep sequencing technologies have enabled the study of EV‐related RNA in detail. In October 2012, the International Society for Extracellular Vesicles (ISEV) held a workshop on “evRNA analysis and bioinformatics.” Here, we report the conclusions of one of the roundtable discussions where we discussed evRNA analysis technologies and provide some guidelines to researchers in the field to consider when performing such analysis.

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Metadata

Authors
Hill, A. F., Pegtel, D. M., Lambertz, U., Leonardi, T., O'Driscoll, L., Pluchino, S., Ter‐Ovanesyan, D., & Nolte‐‘t Hoen, E. N. M.
Venue
Journal of Extracellular Vesicles
Publisher
Wiley
Published
2013-01
Volume
2
Issue
1
ISSN
2001-3078 (ISSN-L)
OpenAlex
W2157686531
Cited by
171
References
7
FWCI
3.90
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: ISEV position paper: extracellular vesicle RNA analysis and bioinformatics. https://app.cochat.ai/papers/10.3402/jev.v2i0.22859
The paper
Hill, A. F., Pegtel, D. M., Lambertz, U., Leonardi, T., O'Driscoll, L., Pluchino, S., Ter‐Ovanesyan, D., & Nolte‐‘t Hoen, E. N. M. (2013). ISEV position paper: extracellular vesicle RNA analysis and bioinformatics. Journal of Extracellular Vesicles. https://doi.org/10.3402/jev.v2i0.22859

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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