Title |
Prokaryotic homologs of Argonaute proteins are predicted to function as key components of a novel system of defense against mobile genetic elements
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Published in |
Biology Direct, August 2009
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DOI | 10.1186/1745-6150-4-29 |
Pubmed ID | |
Authors |
Kira S Makarova, Yuri I Wolf, John van der Oost, Eugene V Koonin |
Abstract |
In eukaryotes, RNA interference (RNAi) is a major mechanism of defense against viruses and transposable elements as well of regulating translation of endogenous mRNAs. The RNAi systems recognize the target RNA molecules via small guide RNAs that are completely or partially complementary to a region of the target. Key components of the RNAi systems are proteins of the Argonaute-PIWI family some of which function as slicers, the nucleases that cleave the target RNA that is base-paired to a guide RNA. Numerous prokaryotes possess the CRISPR-associated system (CASS) of defense against phages and plasmids that is, in part, mechanistically analogous but not homologous to eukaryotic RNAi systems. Many prokaryotes also encode homologs of Argonaute-PIWI proteins but their functions remain unknown. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United Kingdom | 1 | 25% |
Unknown | 3 | 75% |
Demographic breakdown
Type | Count | As % |
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Scientists | 3 | 75% |
Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 5 | 1% |
Germany | 4 | 1% |
Chile | 1 | <1% |
France | 1 | <1% |
Netherlands | 1 | <1% |
Sweden | 1 | <1% |
India | 1 | <1% |
United Kingdom | 1 | <1% |
Brazil | 1 | <1% |
Other | 4 | 1% |
Unknown | 357 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 88 | 23% |
Researcher | 65 | 17% |
Student > Master | 48 | 13% |
Student > Bachelor | 44 | 12% |
Student > Doctoral Student | 17 | 5% |
Other | 46 | 12% |
Unknown | 69 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 156 | 41% |
Biochemistry, Genetics and Molecular Biology | 115 | 31% |
Immunology and Microbiology | 9 | 2% |
Chemistry | 3 | <1% |
Computer Science | 3 | <1% |
Other | 17 | 5% |
Unknown | 74 | 20% |