Title |
Deep sequencing of RNA from immune cell-derived vesicles uncovers the selective incorporation of small non-coding RNA biotypes with potential regulatory functions
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Published in |
Nucleic Acids Research, July 2012
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DOI | 10.1093/nar/gks658 |
Pubmed ID | |
Authors |
Esther N. M. Nolte-’t Hoen, Henk P. J. Buermans, Maaike Waasdorp, Willem Stoorvogel, Marca H. M. Wauben, Peter A. C. ’t Hoen |
Abstract |
Cells release RNA-carrying vesicles and membrane-free RNA/protein complexes into the extracellular milieu. Horizontal vesicle-mediated transfer of such shuttle RNA between cells allows dissemination of genetically encoded messages, which may modify the function of target cells. Other studies used array analysis to establish the presence of microRNAs and mRNA in cell-derived vesicles from many sources. Here, we used an unbiased approach by deep sequencing of small RNA released by immune cells. We found a large variety of small non-coding RNA species representing pervasive transcripts or RNA cleavage products overlapping with protein coding regions, repeat sequences or structural RNAs. Many of these RNAs were enriched relative to cellular RNA, indicating that cells destine specific RNAs for extracellular release. Among the most abundant small RNAs in shuttle RNA were sequences derived from vault RNA, Y-RNA and specific tRNAs. Many of the highly abundant small non-coding transcripts in shuttle RNA are evolutionary well-conserved and have previously been associated to gene regulatory functions. These findings allude to a wider range of biological effects that could be mediated by shuttle RNA than previously expected. Moreover, the data present leads for unraveling how cells modify the function of other cells via transfer of specific non-coding RNA species. |
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Geographical breakdown
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United States | 1 | 25% |
Uruguay | 1 | 25% |
France | 1 | 25% |
Unknown | 1 | 25% |
Demographic breakdown
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Scientists | 3 | 75% |
Members of the public | 1 | 25% |
Mendeley readers
Geographical breakdown
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United States | 7 | 1% |
Sweden | 1 | <1% |
Canada | 1 | <1% |
New Zealand | 1 | <1% |
Netherlands | 1 | <1% |
Belgium | 1 | <1% |
Iran, Islamic Republic of | 1 | <1% |
Russia | 1 | <1% |
Denmark | 1 | <1% |
Other | 0 | 0% |
Unknown | 573 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 149 | 25% |
Researcher | 108 | 18% |
Student > Master | 64 | 11% |
Student > Bachelor | 54 | 9% |
Student > Doctoral Student | 29 | 5% |
Other | 74 | 13% |
Unknown | 110 | 19% |
Readers by discipline | Count | As % |
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Biochemistry, Genetics and Molecular Biology | 163 | 28% |
Agricultural and Biological Sciences | 155 | 26% |
Medicine and Dentistry | 45 | 8% |
Neuroscience | 22 | 4% |
Immunology and Microbiology | 19 | 3% |
Other | 53 | 9% |
Unknown | 131 | 22% |