Literature DB >> 16957380

Cloning and detection of HIV-1-encoded microRNA.

Shinya Omoto1, Yoichi R Fujii.   

Abstract

MicroRNAs (miRNAs) are 21-to 25-nucleotides (nt) long and interact with messenger RNAs to trigger either translational repression or RNA cleavage through RNA interference (RNAi). We have shown that HIV-1 nef double-stranded RNA from AIDS patients who are long-term nonprogressors, inhibits HIV-1 transcription; and that nef-derived miRNA, miR-N367, is produced in human T-cells persistently infected with HIV-1. The miR-N367 can block HIV-1 Nef expression and long terminal repeat (LTR) transcription, suggesting that miR-N367 might suppress both Nef function and HIV-1 transcription through the RNAi pathway. Protocols are presented here for cloning HIV-1-encoded miRNA and confirming miRNA expression by Northern blot hybridization.

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Year:  2006        PMID: 16957380     DOI: 10.1385/1-59745-123-1:255

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  5 in total

Review 1.  Noncoding RNPs of viral origin.

Authors:  Joan Steitz; Sumit Borah; Demian Cazalla; Victor Fok; Robin Lytle; Rachel Mitton-Fry; Kasandra Riley; Tasleem Samji
Journal:  Cold Spring Harb Perspect Biol       Date:  2011-03-01       Impact factor: 10.005

Review 2.  The roles of microRNAs in mammalian virus infection.

Authors:  Ralph Grassmann; Kuan-Teh Jeang
Journal:  Biochim Biophys Acta       Date:  2008-05-15

3.  Discrete clusters of virus-encoded micrornas are associated with complementary strands of the genome and the 7.2-kilobase stable intron in murine cytomegalovirus.

Authors:  Amy H Buck; Javier Santoyo-Lopez; Kevin A Robertson; Diwakar S Kumar; Martin Reczko; Peter Ghazal
Journal:  J Virol       Date:  2007-10-10       Impact factor: 5.103

4.  MicroRNAs in HIV-1 infection: an integration of viral and cellular interaction at the genomic level.

Authors:  Neil H Tan Gana; Tomohiro Onuki; Ann Florence B Victoriano; Takashi Okamoto
Journal:  Front Microbiol       Date:  2012-08-24       Impact factor: 5.640

Review 5.  Combinatorial RNAi: a winning strategy for the race against evolving targets?

Authors:  Dirk Grimm; Mark A Kay
Journal:  Mol Ther       Date:  2007-02-20       Impact factor: 11.454

  5 in total

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