A computational analysis of antisense off-targets in prokaryotic organisms.

Published

Journal Article

The adoption of antisense gene silencing as a novel disinfectant for prokaryotic organisms is hindered by poor silencing efficiencies. Few studies have considered the effects of off-targets on silencing efficiencies, especially in prokaryotic organisms. In this computational study, a novel algorithm was developed that determined and sorted the number of off-targets as a function of alignment length in Escherichia coli K-12 MG1655 and Mycobacterium tuberculosis H37Rv. The mean number of off-targets per a single location was calculated to be 14.1 ± 13.3 and 36.1 ± 58.5 for the genomes of E. coli K-12 MG1655 and M. tuberculosis H37Rv, respectively. Furthermore, when the entire transcriptome was analyzed, it was found that there was no general gene location that could be targeted to minimize or maximize the number of off-targets. In an effort to determine the effects of off-targets on silencing efficiencies, previously published studies were used. Analyses with acpP, ino1, and marORAB revealed a statistically significant relationship between the number of short alignment length off-targets hybrids and the efficacy of the antisense gene silencing, suggesting that the minimization of off-targets may be beneficial for antisense gene silencing in prokaryotic organisms.

Full Text

Duke Authors

Cited Authors

  • Worley-Morse, TO; Gunsch, CK

Published Date

  • February 2015

Published In

Volume / Issue

  • 105 / 2

Start / End Page

  • 123 - 130

PubMed ID

  • 25486012

Pubmed Central ID

  • 25486012

Electronic International Standard Serial Number (EISSN)

  • 1089-8646

International Standard Serial Number (ISSN)

  • 0888-7543

Digital Object Identifier (DOI)

  • 10.1016/j.ygeno.2014.11.010

Language

  • eng