Title |
Analysis of plant-derived miRNAs in animal small RNA datasets
|
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Published in |
BMC Genomics, August 2012
|
DOI | 10.1186/1471-2164-13-381 |
Pubmed ID | |
Authors |
Yuanji Zhang, B Elizabeth Wiggins, Christina Lawrence, Jay Petrick, Sergey Ivashuta, Greg Heck |
Abstract |
Plants contain significant quantities of small RNAs (sRNAs) derived from various sRNA biogenesis pathways. Many of these sRNAs play regulatory roles in plants. Previous analysis revealed that numerous sRNAs in corn, rice and soybean seeds have high sequence similarity to animal genes. However, exogenous RNA is considered to be unstable within the gastrointestinal tract of many animals, thus limiting potential for any adverse effects from consumption of dietary RNA. A recent paper reported that putative plant miRNAs were detected in animal plasma and serum, presumably acquired through ingestion, and may have a functional impact in the consuming organisms. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 15% |
Germany | 2 | 15% |
United States | 1 | 8% |
Brazil | 1 | 8% |
Chile | 1 | 8% |
France | 1 | 8% |
Unknown | 5 | 38% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 7 | 54% |
Scientists | 5 | 38% |
Practitioners (doctors, other healthcare professionals) | 1 | 8% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Italy | 2 | 1% |
Mexico | 2 | 1% |
United Kingdom | 2 | 1% |
Germany | 1 | <1% |
India | 1 | <1% |
Sweden | 1 | <1% |
Brazil | 1 | <1% |
Nigeria | 1 | <1% |
China | 1 | <1% |
Other | 2 | 1% |
Unknown | 170 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 55 | 30% |
Student > Ph. D. Student | 38 | 21% |
Student > Bachelor | 14 | 8% |
Student > Master | 11 | 6% |
Other | 10 | 5% |
Other | 31 | 17% |
Unknown | 25 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 100 | 54% |
Biochemistry, Genetics and Molecular Biology | 24 | 13% |
Computer Science | 5 | 3% |
Immunology and Microbiology | 3 | 2% |
Medicine and Dentistry | 3 | 2% |
Other | 11 | 6% |
Unknown | 38 | 21% |