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

Publication ,  Journal Article
Meluzzi, D; Olson, KE; Dolan, GF; Arya, G; Müller, UF
Published in: RNA (New York, N.Y.)
March 2012

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.

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Published In

RNA (New York, N.Y.)

DOI

EISSN

1469-9001

ISSN

1355-8382

Publication Date

March 2012

Volume

18

Issue

3

Start / End Page

590 / 602

Related Subject Headings

  • Transcription, Genetic
  • Trans-Splicing
  • RNA, Messenger
  • RNA, Catalytic
  • RNA Splice Sites
  • Nucleic Acid Conformation
  • Developmental Biology
  • Computational Biology
  • 3101 Biochemistry and cell biology
  • 0601 Biochemistry and Cell Biology
 

Citation

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Meluzzi, D., Olson, K. E., Dolan, G. F., Arya, G., & Müller, U. F. (2012). Computational prediction of efficient splice sites for trans-splicing ribozymes. RNA (New York, N.Y.), 18(3), 590–602. https://doi.org/10.1261/rna.029884.111
Meluzzi, Dario, Karen E. Olson, Gregory F. Dolan, Gaurav Arya, and Ulrich F. Müller. “Computational prediction of efficient splice sites for trans-splicing ribozymes.RNA (New York, N.Y.) 18, no. 3 (March 2012): 590–602. https://doi.org/10.1261/rna.029884.111.
Meluzzi D, Olson KE, Dolan GF, Arya G, Müller UF. Computational prediction of efficient splice sites for trans-splicing ribozymes. RNA (New York, NY). 2012 Mar;18(3):590–602.
Meluzzi, Dario, et al. “Computational prediction of efficient splice sites for trans-splicing ribozymes.RNA (New York, N.Y.), vol. 18, no. 3, Mar. 2012, pp. 590–602. Epmc, doi:10.1261/rna.029884.111.
Meluzzi D, Olson KE, Dolan GF, Arya G, Müller UF. Computational prediction of efficient splice sites for trans-splicing ribozymes. RNA (New York, NY). 2012 Mar;18(3):590–602.

Published In

RNA (New York, N.Y.)

DOI

EISSN

1469-9001

ISSN

1355-8382

Publication Date

March 2012

Volume

18

Issue

3

Start / End Page

590 / 602

Related Subject Headings

  • Transcription, Genetic
  • Trans-Splicing
  • RNA, Messenger
  • RNA, Catalytic
  • RNA Splice Sites
  • Nucleic Acid Conformation
  • Developmental Biology
  • Computational Biology
  • 3101 Biochemistry and cell biology
  • 0601 Biochemistry and Cell Biology