The DOI matches its Crossref record; 67 of the 67 references it cites were found in a registry or an index.
Quantitative and qualitative analysis of small RNAs in human endothelial cells and exosomes provides insights into localized RNA processing, degradation and sorting
Open accessAbstract
Exosomes are small vesicles that mediate cell–cell communication. They contain proteins, lipids and RNA, and evidence is accumulating that these molecules are specifically sorted for release via exosomes. We recently showed that endothelial‐cell‐produced exosomes promote angiogenesis in vivo in a small RNA‐dependent manner. Recent deep sequencing studies in exosomes from lymphocytic origin revealed a broad spectrum of small RNAs. However, selective depletion or incorporation of small RNA species into endothelial exosomes has not been studied extensively. With next generation sequencing, we identified all known non‐coding RNA classes, including microRNAs (miRNAs), small nucleolar RNAs, yRNAs, vault RNAs, 5p and 3p fragments of miRNAs and miRNA‐like fragments. In addition, we mapped many fragments of messenger RNAs (mRNAs) and mitochondrial RNAs (mtRNAs). The distribution of small RNAs in exosomes revealed a considerable overlap with the distribution in the producing cells. However, we identified a remarkable enrichment of yRNA fragments and mRNA degradation products in exosomes consistent with yRNAs having a role in degradation of structured and misfolded RNAs in close proximity to endosomes. We propose that endothelial endosomes selectively sequester cytoplasmic RNA‐degrading machineries taking part in gene regulation. The release of these regulatory RNAs via exosomes may have implications for endothelial cell–cell communication.
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Cites
Trimmomatic: a flexible trimmer for Illumina sequence data
Bolger, A. M., Lohse, M., & Usadel, B. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btu170 · Cited by 65,548
The Sequence Alignment/Map format and SAMtools
Li, H., Handsaker, B., Wysoker, A., Fennell, T., Ruan, J., Homer, N., Marth, G., Abecasis, G., Durbin, R., & 1000 Genome Project Data Processing Subgroup (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp352 · Cited by 62,041
Ultrafast and memory-efficient alignment of short DNA sequences to the human genome.
Langmead, B., Trapnell, C., Pop, M., & Salzberg, S. L. (2009) · Genome Biology · doi:10.1186/gb-2009-10-3-r25 · Cited by 21,849
Robinson, J. T., Thorvaldsdóttir, H., Winckler, W., Guttman, M., Lander, E. S., Getz, G., & Mesirov, J. P. (2011) · Nature Biotechnology · doi:10.1038/nbt.1754 · Cited by 15,390
Valadi, 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
Integrative Genomics Viewer (IGV): high-performance genomics data visualization and exploration
Thorvaldsdottir, H., Robinson, J. T., & Mesirov, J. P. (2013) · Briefings in Bioinformatics · doi:10.1093/bib/bbs017 · Cited by 9,049
Isolation and Characterization of Exosomes from Cell Culture Supernatants and Biological Fluids
Théry, C., Amigorena, S., Raposo, G., & Clayton, A. (2006) · Current Protocols in Cell Biology · doi:10.1002/0471143030.cb0322s30 · Cited by 5,766
Exosomes: composition, biogenesis and function
Théry, C., Zitvogel, L., & Amigorena, S. (2002) · Nature Reviews Immunology · doi:10.1038/nri855 · Cited by 5,346
miRBase: annotating high confidence microRNAs using deep sequencing data
Kozomara, A., & Griffiths-Jones, S. (2014) · Nucleic Acids Research · doi:10.1093/nar/gkt1181 · Cited by 5,073
Skog, J., Würdinger, T., van Rijn, S., Meijer, D. H., Gainche, L., Curry, W. T., Carter, B. S., Krichevsky, A. M., & Breakefield, X. O. (2008) · Nature Cell Biology · doi:10.1038/ncb1800 · Cited by 5,001
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-citationThe biology , function , and biomedical applications of exosomes
Kalluri, R., & LeBleu, V. S. (2020) · Science · doi:10.1126/science.aau6977 · Cited by 10,770
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
Extracellular Vesicles: Unique Intercellular Delivery Vehicles
Maas, S. L. N., Breakefield, X. O., & Weaver, A. M. (2017) · Trends in Cell Biology · doi:10.1016/j.tcb.2016.11.003 · Cited by 1,429
Methodological Guidelines to Study Extracellular Vesicles
Coumans, F. A. W., Brisson, A. R., Buzas, E. I., Dignat-George, F., Drees, E. E. E., El-Andaloussi, S., Emanueli, C., Gasecka, A., Hendrix, A., Hill, A. F., et al. (2017) · Circulation Research · doi:10.1161/circresaha.117.309417 · Cited by 1,017
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Metadata
- Authors
- van Balkom, B. W. M., Eisele, A. S., Pegtel, D. M., Bervoets, S., & Verhaar, M. C.
- Venue
- Journal of Extracellular Vesicles
- Publisher
- Wiley
- Published
- 2015-01
- Volume
- 4
- Issue
- 1
- Pages
- 26760-26760
- ISSN
- 2001-3078 (ISSN-L)
- OpenAlex
- W1769060942
- Cited by
- 298
- References
- 67
- FWCI
- 11.06
- Type
- journal article
- Language
- en
- Open access
- gold
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- van Balkom, B. W. M., Eisele, A. S., Pegtel, D. M., Bervoets, S., & Verhaar, M. C. (2015). Quantitative and qualitative analysis of small RNAs in human endothelial cells and exosomes provides insights into localized RNA processing, degradation and sorting. Journal of Extracellular Vesicles. https://doi.org/10.3402/jev.v4.26760
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