Computational prediction of efficient splice sites for trans-splicing ribozymes.

Published

Journal Article

Group I introns have been engineered into trans-splicing ribozymes capable of replacing the 3'-terminal portion of an external mRNA with their own 3'-exon. Although this design makes trans-splicing ribozymes potentially useful for therapeutic application, their trans-splicing efficiency is usually too low for medical use. One factor that strongly influences trans-splicing efficiency is the position of the target splice site on the mRNA substrate. Viable splice sites are currently determined using a biochemical trans-tagging assay. Here, we propose a rapid and inexpensive alternative approach to identify efficient splice sites. This approach involves the computation of the binding free energies between ribozyme and mRNA substrate. We found that the computed binding free energies correlate well with the trans-splicing efficiency experimentally determined at 18 different splice sites on the mRNA of chloramphenicol acetyl transferase. In contrast, our results from the trans-tagging assay correlate less well with measured trans-splicing efficiency. The computed free energy components suggest that splice site efficiency depends on the following secondary structure rearrangements: hybridization of the ribozyme's internal guide sequence (IGS) with mRNA substrate (most important), unfolding of substrate proximal to the splice site, and release of the IGS from the 3'-exon (least important). The proposed computational approach can also be extended to fulfill additional design requirements of efficient trans-splicing ribozymes, such as the optimization of 3'-exon and extended guide sequences.

Full Text

Duke Authors

Cited Authors

  • Meluzzi, D; Olson, KE; Dolan, GF; Arya, G; Müller, UF

Published Date

  • March 2012

Published In

Volume / Issue

  • 18 / 3

Start / End Page

  • 590 - 602

PubMed ID

  • 22274956

Pubmed Central ID

  • 22274956

Electronic International Standard Serial Number (EISSN)

  • 1469-9001

International Standard Serial Number (ISSN)

  • 1355-8382

Digital Object Identifier (DOI)

  • 10.1261/rna.029884.111

Language

  • eng