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The Complex Exogenous RNA Spectra in Human Plasma: An Interface with Human Gut Biota?

Overview of attention for article published in PLOS ONE, December 2012
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Title
The Complex Exogenous RNA Spectra in Human Plasma: An Interface with Human Gut Biota?
Published in
PLOS ONE, December 2012
DOI 10.1371/journal.pone.0051009
Pubmed ID
Authors

Kai Wang, Hong Li, Yue Yuan, Alton Etheridge, Yong Zhou, David Huang, Paul Wilmes, David Galas

Abstract

Human plasma has long been a rich source for biomarker discovery. It has recently become clear that plasma RNA molecules, such as microRNA, in addition to proteins are common and can serve as biomarkers. Surveying human plasma for microRNA biomarkers using next generation sequencing technology, we observed that a significant fraction of the circulating RNA appear to originate from exogenous species. With careful analysis of sequence error statistics and other controls, we demonstrated that there is a wide range of RNA from many different organisms, including bacteria and fungi as well as from other species. These RNAs may be associated with protein, lipid or other molecules protecting them from RNase activity in plasma. Some of these RNAs are detected in intracellular complexes and may be able to influence cellular activities under in vitro conditions. These findings raise the possibility that plasma RNAs of exogenous origin may serve as signaling molecules mediating for example the human-microbiome interaction and may affect and/or indicate the state of human health.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 266 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Denmark 2 <1%
Netherlands 2 <1%
Belgium 2 <1%
Austria 1 <1%
India 1 <1%
United Kingdom 1 <1%
Brazil 1 <1%
Germany 1 <1%
Mexico 1 <1%
Other 6 2%
Unknown 248 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 70 26%
Student > Ph. D. Student 59 22%
Student > Master 24 9%
Professor 14 5%
Student > Bachelor 13 5%
Other 46 17%
Unknown 40 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 108 41%
Biochemistry, Genetics and Molecular Biology 45 17%
Medicine and Dentistry 30 11%
Immunology and Microbiology 7 3%
Neuroscience 4 2%
Other 21 8%
Unknown 51 19%