Mutation Frequencies in HIV-1 Genome in Regions Containing Efficient RNAi Targets As Calculated from Ultra-Deep Sequencing Data
Author:
Publisher
Pleiades Publishing Ltd
Subject
Structural Biology,Biophysics
Link
http://link.springer.com/content/pdf/10.1134/S002689331803007X.pdf
Reference19 articles.
1. Bobbin M.L, Burnett J.C., Rossi J.J. 2015. RNA interference approaches for treatment of HIV-1 infection. Genome Med. 7, 50.
2. Kretova O.V., Fedoseeva D.M., Gorbacheva M.A., et al. 2017. Ultra-deep sequencing data of HIV-1-infected patients from Russia reveals six highly conserved targets of RNAi that are also present in many HIV-1 strains worldwide. Mol. Ther. Nucl. Acids. 8, 330–344.
3. Kretova O.V., Chechetkin V.R., Fedoseeva D.M., et al. 2016. Analysis of variability in HIV-1 subtype A strains in Russia suggests a combination of deep sequencing and multi-target RNA interference for silencing of the virus. AIDS Res. Hum. Retroviruses. 33, 194–201.
4. Tchurikov N.A., Fedoseeva D.M., Gashnikova N.M., et al. 2016. Conserved sequences in the current strains of HIV-1 subtype A in Russia are effectively targeted by artificial RNAi in vitro. Gene. 583, 78–83.
5. Kravatsky Y.V., Chechetkin V.R., Fedoseeva D.M., Gorbacheva M.A., Kretova O.V., Tchurikov N.A. 2016. Mutation frequencies in HIV-1 subtype A genomes in the regions containing the efficient RNAi targets. Mol. Biol. (Moscow). 50, 417–421. doi 10.7868/S0026898416020117
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