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RNAi has been suggested for use in gene therapy of HIV/AIDS, but the main problem is that HIV-1 is highly variable and could escape attack from the small interfering RNAs (siRNAs) due to even single nucleotide substitutions in the potential targets. To exhaustively check the variability in selected RNA targets of HIV-1, we used ultra-deep sequencing of six regions of HIV-1 from the plasma of two independent cohorts of patients from Russia. Six RNAi targets were found that are invariable in 82%–97% of viruses in both cohorts and are located inside the domains specifying reverse transcriptase (RT), integrase, vpu, gp120, and p17. The analysis of mutation frequencies and their characteristics inside the targets suggests a likely role for APOBEC3G (apolipoprotein B mRNA editing enzyme, catalytic polypeptide-like 3G, A3G) in G-to-A mutations and a predominant effect of RT biases in the detected variability of the virus. The lowest frequency of mutations was detected in the central part of all six targets. We also discovered that the identical RNAi targets are present in many HIV-1 strains from many countries and from all continents. The data are important for both the understanding of the patterns of HIV-1 mutability and properties of RT and for the development of gene therapy approaches using RNAi for the treatment of HIV/AIDS. Keywords: HIV-1, RNAi targets, gene therapy, ultra-deep sequencing, conserved HIV-1 sequences

DNA double-strand breaks (DSBs) are associated with different physiological and pathological processes in different organisms. To understand the role of DSBs in multiple cellular mechanisms, a robust method for genome-wide mapping of chromosomal breaks at one-nucleotide resolution is required. Many years ago, we detected large DNA fragments migrating from DNA-agarose plugs in pulsed-field gels, which we named ‘forum domains’ [1,2]. Recently, we developed a method for genome-wide mapping of DSBs that produces these 50–150 kb DNA domains using microarrays or 454 sequencing (Tchurikov et al., 2011; 2013). Now we have used Illumina sequencing to map DSBs in repetitive rDNA units in human HEK293T cells. Here we describe in detail the experimental design and bioinformatics analysis of the data deposited in the Gene Expression Omnibus with accession number GSE49302 and associated with the study published in the Journal of Molecular Cell Biology (Tchurikov et al., 2014).