The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.
Obstacles and opportunities in the functional analysis of extracellular vesicle RNA – an ISEV position paper
Open accessAbstract
The release of RNA‐containing extracellular vesicles (EV) into the extracellular milieu has been demonstrated in a multitude of different in vitro cell systems and in a variety of body fluids. RNA‐containing EV are in the limelight for their capacity to communicate genetically encoded messages to other cells, their suitability as candidate biomarkers for diseases, and their use as therapeutic agents. Although EV‐RNA has attracted enormous interest from basic researchers, clinicians, and industry, we currently have limited knowledge on which mechanisms drive and regulate RNA incorporation into EV and on how RNA‐encoded messages affect signalling processes in EV‐targeted cells. Moreover, EV‐RNA research faces various technical challenges, such as standardisation of EV isolation methods, optimisation of methodologies to isolate and characterise minute quantities of RNA found in EV, and development of approaches to demonstrate functional transfer of EV‐RNA in vivo. These topics were discussed at the 2015 EV‐RNA workshop of the International Society for Extracellular Vesicles. This position paper was written by the participants of the workshop not only to give an overview of the current state of knowledge in the field, but also to clarify that our incomplete knowledge – of the nature of EV(‐RNA)s and of how to effectively and reliably study them – currently prohibits the implementation of gold standards in EV‐RNA research. In addition, this paper creates awareness of possibilities and limitations of currently used strategies to investigate EV‐RNA and calls for caution in interpretation of the obtained data.
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Cites
Analysis of Relative Gene Expression Data Using Real-Time Quantitative PCR and the 2−ΔΔCT Method
Livak, K. J., & Schmittgen, T. D. (2001) · Methods · doi:10.1006/meth.2001.1262 · Cited by 180,860
The MIQE guidelines: minimum information for publication of quantitative real-time PCR experiments
Bustin, S. A., Benes, V., Garson, J. A., Hellemans, J., Huggett, J., Kubista, M., Mueller, R., Nolan, T., Pfaffl, M. W., Shipley, G. L., et al. (2009) · Clinical Chemistry · doi:10.1373/clinchem.2008.112797 · Cited by 16,303 · cited 5×
“sers must be included in manuscripts, following the MIQE guidelines.[55] During the workshop, RNA spike-ins were discussed as a normalisation strategy, since these were recommended in the previous EV-RNA position paper.”
MethodInfluentialSelf-citationValadi, H., Ekström, K., Bossios, A., Sjöstrand, M., Lee, J. J., & Lötvall, J. O. (2007) · Nature Cell Biology · doi:10.1038/ncb1596 · Cited by 12,834
Tumour exosome integrins determine organotropic metastasis
Hoshino, A., Costa-Silva, B., Shen, T.-L., Rodrigues, G., Hashimoto, A., Tesic Mark, M., Molina, H., Kohsaka, S., Di Giannatale, A., Ceder, S., et al. (2015) · Nature · doi:10.1038/nature15756 · Cited by 5,101
Delivery of siRNA to the mouse brain by systemic injection of targeted exosomes
Alvarez-Erviti, L., Seow, Y., Yin, H., Betts, C., Lakhal, S., & Wood, M. J. A. (2011) · Nature Biotechnology · doi:10.1038/nbt.1807 · Cited by 4,930
N6-methyladenosine-dependent regulation of messenger RNA stability
Wang, X., Lu, Z., Gomez, A., Hon, G. C., Yue, Y., Han, D., Fu, Y., Parisien, M., Dai, Q., Jia, G., et al. (2014) · Nature · doi:10.1038/nature12730 · Cited by 4,558
Comprehensive Analysis of mRNA Methylation Reveals Enrichment in 3′ UTRs and near Stop Codons
Meyer, K. D., Saletore, Y., Zumbo, P., Elemento, O., Mason, C. E., & Jaffrey, S. R. (2012) · Cell · doi:10.1016/j.cell.2012.05.003 · Cited by 4,223
Mutation of the mouse klotho gene leads to a syndrome resembling ageing
Kuro-o, M., Matsumura, Y., Aizawa, H., Kawaguchi, H., Suga, T., Utsugi, T., Ohyama, Y., Kurabayashi, M., Kaname, T., Kume, E., et al. (1997) · Nature · doi:10.1038/36285 · Cited by 3,837
Kowal, J., Arras, G., Colombo, M., Jouve, M., Morath, J. P., Primdal-Bengtson, B., Dingli, F., Loew, D., Tkach, M., & Théry, C. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1521230113 · Cited by 3,426
Self-citationModeling Development and Disease with Organoids
Clevers, H. (2016) · Cell · doi:10.1016/j.cell.2016.05.082 · Cited by 3,196
Cited by
Théry, C., Witwer, K. W., Aikawa, E., Alcaraz, M. J., Anderson, J. D., Andriantsitohaina, R., Antoniou, A., Arab, T., Archer, F., Atkin‐Smith, G. K., et al. (2018) · Journal of Extracellular Vesicles · doi:10.1080/20013078.2018.1535750 · Cited by 11,099
Self-citationShedding light on the cell biology of extracellular vesicles
van Niel, G., D'Angelo, G., & Raposo, G. (2018) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm.2017.125 · Cited by 8,369
Welsh, J. A., Goberdhan, D. C. I., O'Driscoll, L., Buzas, E. I., Blenkiron, C., Bussolati, B., Cai, H., Di Vizio, D., Driedonks, T. A. P., Erdbrügger, U., et al. (2024) · Journal of Extracellular Vesicles · doi:10.1002/jev2.12404 · Cited by 4,663
Self-citationReassessment of exosome composition
Jeppesen, D. K., Fenix, A. M., Franklin, J. L., Higginbotham, J. N., Zhang, Q., Zimmerman, L. J., Liebler, D. C., Ping, J., Liu, Q., Evans, R., et al. (2019) · Cell · doi:10.1016/j.cell.2019.02.029 · Cited by 2,975
RNA delivery by extracellular vesicles in mammalian cells and its applications
O’Brien, K., Breyne, K., Ughetto, S., Laurent, L. C., & Breakefield, X. O. (2020) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-020-0251-y · Cited by 1,811
Metadata
- Authors
- Mateescu, B., Kowal, E. J. K., van Balkom, B. W. M., Bartel, S., Bhattacharyya, S. N., Buzás, E. I., Buck, A. H., de Candia, P., Chow, F. W. N., Das, S., Driedonks, T. A. P., Fernández‐Messina, L., Haderk, F., Hill, A. F., Jones, J. C., Van Keuren‐Jensen, K. R., Lai, C. P., Lässer, C., di Liegro, I., Lunavat, T. R., Lorenowicz, M. J., Maas, S. L. N., Mäger, I., Mittelbrunn, M., Momma, S., Mukherjee, K., Nawaz, M., Pegtel, D. M., Pfaffl, M. W., Schiffelers, R. M., Tahara, H., Théry, C., Tosar, J. P., Wauben, M. H. M., Witwer, K. W., & Nolte‐'t Hoen, E. N. M.
- Venue
- Journal of Extracellular Vesicles
- Publisher
- Wiley
- Published
- 2017-12
- Volume
- 6
- Issue
- 1
- Pages
- 1286095-1286095
- ISSN
- 2001-3078 (ISSN-L)
- OpenAlex
- W2593629244
- Cited by
- 720
- References
- 31
- FWCI
- 29.41
- Type
- journal article
- Language
- en
- Open access
- gold
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- Mateescu, B., Kowal, E. J. K., van Balkom, B. W. M., Bartel, S., Bhattacharyya, S. N., Buzás, E. I., Buck, A. H., de Candia, P., Chow, F. W. N., Das, S., Driedonks, T. A. P., Fernández‐Messina, L., Haderk, F., Hill, A. F., Jones, J. C., Van Keuren‐Jensen, K. R., Lai, C. P., Lässer, C., di Liegro, I., . . . Nolte‐'t Hoen, E. N. M. (2017). Obstacles and opportunities in the functional analysis of extracellular vesicle RNA – an ISEV position paper. Journal of Extracellular Vesicles. https://doi.org/10.1080/20013078.2017.1286095
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
