A structural analysis of in vitro catalytic activities of hammerhead ribozymes
By Yu Shao, Susan Wu, Chi Yu Chan, Jessie R. Klapper, Erasmus Schneider, Ye Ding. BMC Bioinformatics, 2007
414 citations recorded by the source corpus.
BackgroundRibozymes are small catalytic RNAs that possess the dual functions of sequence-specific RNA recognition and site-specific cleavage. Trans-cleaving ribozymes can inhibit translation of genes at the messenger RNA (mRNA) level in both eukaryotic and prokaryotic systems and are thus useful tools for studies of gene function. However, identification of target sites for efficient cleavage poses a challenge. Here, we have considered a number of structural and thermodynamic parameters that can affect the efficiency of target cleavage, in an attempt to identify rules for the selection of functional ribozymes.ResultsWe employed the Sfold program for RNA secondary structure prediction, to account for the likely population of target structures that co-exist in dynamic equilibrium for a specific mRNA molecule. We designed and prepared 15 hammerhead ribozymes to target GUC cleavage sites in the mRNA of the breast cancer resistance protein (BCRP). These ribozymes were tested, and their catalytic activities were measured in vitro. We found that target disruption energy owing to the alteration of the local target structure necessary for ribozyme binding, and the total energy change of the ribozyme-target hybridization, are two significant parameters for prediction of ribozyme activity. Importantly, target disruption energy is the major contributor to the predictability of ribozyme activity by the total energy change. Furthermore, for a target-site specific ribozyme, incorrect folding of the catalytic core, or interactions involving the two binding arms and the end sequences of the catalytic core, can have detrimental effects on ribozyme activity.ConclusionThe findings from this study suggest rules for structure-based rational design of trans-cleaving hammerhead ribozymes in gene knockdown studies. Tools implementing these rules are available from the Sribo module and the Srna module of the Sfold program available through Web server at http://sfold.wadsworth.org.
Subfields: Molecular Biology
View Paper: https://www.semanticscholar.org/paper/dde2d4d5e31414f952e83499b17f32bf7f223b71
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Molecular Biology
- Ivica Letunic
- Peer Bork
- Nathan E. Lewis
- Ali Ebrahim
- Martin J Lercher
- Songnian Hu
- Shenghan Gao
- Wei-Hua Chen
Citations in the corpus
- EvolView, an online tool for visualizing, annotating and managing phylogenetic trees (2012, background): “A wide variety of tree-viewing tools have been developed in the past years, such as TreeView (1), Dendroscope (2), iTol (3), jsPhyloSVG (4), PhyloWidget (5) and many others (6–16).”
- Building the Coleoptera tree‐of‐life for >8000 species: composition of public DNA data and fit with Linnaean classification (2014, neutral): “Trees were visualized in Dendroscope (Huson et al., 2007).”
- Dendroscope 3: an interactive tool for rooted phylogenetic trees and networks. (2012, methodology): “In this article, we present a new user-friendly program for working with rooted phylogenetic trees and networks called Dendroscope 3, which is based on the popular tree drawing program Dendroscope 1 (Huson et al. 2007).”
- Interactive Tree Of Life v2: online annotation and display of phylogenetic trees made easy (2011, background): “Tools like TREEVIEW (2), Archaeopteryx (3), TreeDyn (4), Dendroscope (5), PhyloWidget (6) and others provide many useful features and are used regularly by scientists worldwide.”
- Bacterial Communities of Diverse Drosophila Species: Ecological Context of a Host–Microbe Model System (2011, methodology): “Final publication quality images were prepared using Dendroscope [102].”
- Escher: A Web Application for Building, Sharing, and Embedding Data-Rich Visualizations of Biological Pathways (2015, background): “Three-dimensional objects are often used for representing protein structures [1, 2], one-dimensional tracks for genome sequences [3, 4], force-directed graphs for interaction networks [5], trees for phylogenetic relationships [6, 7].”
- Using Sequence Similarity Networks for Visualization of Relationships Across Diverse Protein Superfamilies (2009, neutral): “All trees were visualized in Dendroscope[47].”