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Nucleic Acids Research Advance Access originally published online on September 3, 2009
Nucleic Acids Research 2009 37(19):6575-6586; doi:10.1093/nar/gkp707
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Nucleic Acids Research, 2009, Vol. 37, No. 19 6575-6586
© The Author(s) 2009. Published by Oxford University Press.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.


RNA

Pyrosequencing of small non-coding RNAs in HIV-1 infected cells: evidence for the processing of a viral-cellular double-stranded RNA hybrid

Man Lung Yeung1, Yamina Bennasser1, Koichi Watashi1, Shu-Yun Le2, Laurent Houzet1 and Kuan-Teh Jeang1,*

1Molecular Virology Section, Laboratory of Molecular Microbiology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892-0460 and 2Center for Cancer Research Nanobiology Program, NCI Center for Cancer Research, National Cancer Institute, Frederick, MD 21702, USA

*To whom correspondence should be addressed. Tel: +1 301 496 6680; Fax: +1 301 480 3686; Email: kj7e{at}nih.gov

Received March 4, 2009. Revised August 7, 2009. Accepted August 10, 2009.

Small non-coding RNAs of 18–25 nt in length can regulate gene expression through the RNA interference (RNAi) pathway. To characterize small RNAs in HIV-1-infected cells, we performed linker-ligated cloning followed by high-throughput pyrosequencing. Here, we report the composition of small RNAs in HIV-1 productively infected MT4 T-cells. We identified several HIV-1 small RNA clones and a highly abundant small 18-nt RNA that is antisense to the HIV-1 primer-binding site (PBS). This 18-nt RNA apparently originated from the dsRNA hybrid formed by the HIV-1 PBS and the 3' end of the human cellular tRNAlys3. It was found to associate with the Ago2 protein, suggesting its possible function in the cellular RNAi machinery for targeting HIV-1.


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