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The 3′ Untranslated Regions of Influenza Genomic Sequences Are 5′PPP-Independent Ligands for RIG-I

Overview of attention for article published in PLOS ONE, March 2012
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Title
The 3′ Untranslated Regions of Influenza Genomic Sequences Are 5′PPP-Independent Ligands for RIG-I
Published in
PLOS ONE, March 2012
DOI 10.1371/journal.pone.0032661
Pubmed ID
Authors

William G. Davis, J. Bradford Bowzard, Suresh D. Sharma, Mayim E. Wiens, Priya Ranjan, Shivaprakash Gangappa, Olga Stuchlik, Jan Pohl, Ruben O. Donis, Jacqueline M. Katz, Craig E. Cameron, Takashi Fujita, Suryaprakash Sambhara

Abstract

Retinoic acid inducible gene-I (RIG-I) is a key regulator of antiviral immunity. RIG-I is generally thought to be activated by ssRNA species containing a 5'-triphosphate (PPP) group or by unphosphorylated dsRNA up to ~300 bp in length. However, it is not yet clear how changes in the length, nucleotide sequence, secondary structure, and 5' end modification affect the abilities of these ligands to bind and activate RIG-I. To further investigate these parameters in the context of naturally occurring ligands, we examined RNA sequences derived from the 5' and 3' untranslated regions (UTR) of the influenza virus NS1 gene segment. As expected, RIG-I-dependent interferon-β (IFN-β) induction by sequences from the 5' UTR of the influenza cRNA or its complement (26 nt in length) required the presence of a 5'PPP group. In contrast, activation of RIG-I by the 3' UTR cRNA sequence or its complement (172 nt) exhibited only a partial 5'PPP-dependence, as capping the 5' end or treatment with CIP showed a modest reduction in RIG-I activation. Furthermore, induction of IFN-β by a smaller, U/A-rich region within the 3' UTR was completely 5'PPP-independent. Our findings demonstrated that RNA sequence, length, and secondary structure all contributed to whether or not the 5'PPP moiety is needed for interferon induction by RIG-I.

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Geographical breakdown

Country Count As %
United States 3 5%
United Kingdom 1 2%
Switzerland 1 2%
Korea, Republic of 1 2%
China 1 2%
Unknown 52 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 34%
Researcher 16 27%
Student > Doctoral Student 6 10%
Student > Master 6 10%
Student > Bachelor 4 7%
Other 3 5%
Unknown 4 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 30 51%
Immunology and Microbiology 10 17%
Medicine and Dentistry 6 10%
Biochemistry, Genetics and Molecular Biology 4 7%
Chemistry 2 3%
Other 3 5%
Unknown 4 7%