Related Experiment Videos
RNA accessibility prediction: a theoretical approach is consistent with experimental studies in cell extracts
M Scherr1, J J Rossi, G Sczakiel
1Abteilung für Hämatologie und Onkologie, Medizinische Hochschule Hannover, Carl-Neuberg-Strasse 1, Hannover, Germany.
Nucleic Acids Research
|June 28, 2000
Summary
Predicting RNA accessibility for gene silencing is crucial. This study shows a two-step method combining computational and experimental approaches to accurately identify effective antisense oligodeoxyribonucleotide binding sites on target mRNA.
Area of Science:
- Molecular Biology
- Gene Regulation
- Bioinformatics
Background:
- Antisense oligodeoxyribonucleotides (ODN) and ribozymes offer targeted gene expression suppression.
- A key challenge is identifying accessible target RNA sites for effective ODN binding.
- Accurate prediction of RNA accessibility is vital for antisense and ribozyme strategies.
Purpose of the Study:
- To evaluate a combined experimental and theoretical approach for predicting local RNA accessibility.
- To assess the accessibility of murine DNA-methyltransferase (MTase) mRNA for antisense ODN binding.
- To establish a reliable two-step procedure for optimizing antisense-based gene silencing.
Main Methods:
- Utilized a recent experimental and theoretical framework to predict RNA accessibility.
- Probed the accessibility of native murine MTase mRNA using antisense ODN in cellular extracts.
- Correlated experimental accessibility data with theoretically predicted target site accessibility.
Main Results:
- Experimental results for antisense ODN binding strongly correlated with theoretical accessibility predictions.
- Demonstrated the feasibility of predicting RNA target site accessibility computationally.
- Validated the effectiveness of the chosen approach for identifying accessible binding sites.
Conclusions:
- A two-step strategy combining computational prediction and experimental validation is effective for predicting RNA accessibility.
- This approach facilitates the selection of optimal ODN binding sites for gene silencing applications.
- The findings enhance the development of antisense and ribozyme-based therapeutic strategies.