Onconase responsive genes in human mesothelioma cells: implications for an RNA damaging therapeutic agent.

BACKGROUND: Onconase represents a new class of RNA-damaging drugs. Mechanistically, Onconase is thought to internalize, where it degrades intracellular RNAs such as tRNA and double-stranded RNA, and thereby suppresses protein synthesis. However, there may be additional or alternative mechanism(s) of action. METHODS: In this study, microarray analysis was used to compare gene expression profiles in untreated human malignant mesothelioma (MM) cell lines and cells exposed to 5 microg/ml Onconase for 24 h. A total of 155 genes were found to be regulated by Onconase that were common to both epithelial and biphasic MM cell lines. Some of these genes are known to significantly affect apoptosis (IL-24, TNFAIP3), transcription (ATF3, DDIT3, MAFF, HDAC9, SNAPC1) or inflammation and the immune response (IL-6, COX-2). RT-PCR analysis of selected up- or down-regulated genes treated with varying doses and times of Onconase generally confirmed the expression array findings in four MM cell lines. RESULTS: Onconase treatment consistently resulted in up-regulation of IL-24, previously shown to have tumor suppressive activity, as well as ATF3 and IL-6. Induction of ATF3 and the pro-apoptotic factor IL-24 by Onconase was highest in the two most responsive MM cell lines, as defined by DNA fragmentation analysis. In addition to apoptosis, gene ontology analysis indicated that pathways impacted by Onconase include MAPK signaling, cytokine-cytokine-receptor interactions, and Jak-STAT signaling. CONCLUSIONS: These results provide a broad picture of gene activity after treatment with a drug that targets small non-coding RNAs and contribute to our overall understanding of MM cell response to Onconase as a therapeutic strategy. The findings provide insights regarding mechanisms that may contribute to the efficacy of this novel drug in clinical trials of MM patients who have failed first line chemotherapy or radiation treatment.

RNA2D3D: a program for generating, viewing, and comparing 3-dimensional models of RNA.

Using primary and secondary structure information of an RNA molecule, the program RNA2D3D automatically and rapidly produces a first-order approximation of a 3-dimensional conformation consistent with this information. Applicable to structures of arbitrary branching complexity and pseudoknot content, it features efficient interactive graphical editing for the removal of any overlaps introduced by the initial generating procedure and for making conformational changes favorable to targeted features and subsequent refinement. With emphasis on fast exploration of alternative 3D conformations, one may interactively add or delete base-pairs, adjacent stems can be coaxially stacked or unstacked, single strands can be shaped to accommodate special constraints, and arbitrary subsets can be defined and manipulated as rigid bodies. Compaction, whereby base stacking within stems is optimally extended into connecting single strands, is also available as a means of strategically making the structures more compact and revealing folding motifs. Subsequent refinement of the first-order approximation, of modifications, and for the imposing of tertiary constraints is assisted with standard energy refinement techniques. Previously determined coordinates for any part of the molecule are readily incorporated, and any part of the modeled structure can be output as a PDB or XYZ file. Illustrative applications in the areas of ribozymes, viral kissing loops, viral internal ribosome entry sites, and nanobiology are presented.

RNA molecules with structure dependent functions are uniquely folded.

Cis-acting elements in post-transcriptional regulation of gene expression are often correlated with distinct local RNA secondary structure. These structures are expected to be significantly more ordered than those anticipated at random because of evolutionary constraints and intrinsic structural properties. In this study, we introduce a computing method to calculate two quantitative measures, NRd and Stscr, for estimating the uniqueness of an RNA secondary structure. NRd is a normalized score based on evaluating how different a natural RNA structure is from those predicted for its randomly shuffled variants. The lower the score NRd the more well ordered is the natural RNA structure. The statistical significance of NRd compared with that computed from structural comparisons among large numbers of randomly permuted sequences is represented by a standardized score, STSCR: We tested the method on the trans-activation response element and Rev response element of HIV-1 mRNA, internal ribosome entry sequence of hepatitis C virus, Tetrahymena thermophila rRNA intron, 100 tRNAs and 14 RNase P RNAs. Our data indicate that functional RNA structures have high Stscr, while other structures have low Stscr. We conclude that RNA functional molecules and/or cis-acting elements with structure dependent functions possess well ordered conformations and they are uniquely folded as measured by this technique.

An algorithm for detecting homologues of known structured RNAs in genomes.

Distinct RNA structures are frequently involved in a wide-range of functions in various biological mechanisms. The three dimensional RNA structures solved by X-ray crystallography and various well-established RNA phylogenetic structures indicate that functional RNAs have characteristic RNA structural motifs represented by specific combinations of base pairings and conserved nucleotides in the loop region. Discovery of well-ordered RNA structures and their homologues in genome-wide searches will enhance our ability to detect the RNA structural motifs and help us to highlight their association with functional and regulatory RNA elements. We present here a novel computer algorithm, HomoStRscan, that takes a single RNA sequence with its secondary structure to search for homologous-RNAs in complete genomes. This novel algorithm completely differs from other currently used search algorithms of homologous structures or structural motifs. For an arbitrary segment (or window) given in the target sequence, that has similar size to the query sequence, HomoStRscan finds the most similar structure to the input query structure and computes the maximal similarity score (MSS) between the two structures. The homologousRNA structures are then statistically inferred from the MSS distribution computed in the target genome. The method provides a flexible, robust and fine search tool for any homologous structural RNAs.

The hydrophobic effect: a new insight from cold denaturation and a two-state water structure.

Herein we provide a new insight into the hydrophobic effect in protein folding. Our proposition explains the molecular basis of cold denaturation, and of intermediate states in heat and their absence in cold denaturation. The exposure of non-polar surface reduces the entropy and enthalpy of the system, at low and at high temperatures. At low temperatures the favorable reduction in enthalpy overcomes the unfavorable reduction in entropy, leading to cold denaturation. At high temperatures, folding/unfolding is a two-step process: in the first, the entropy gain leads to hydrophobic collapse, in the second, the reduction in enthalpy due to protein-protein interactions leads to the native state. The different entropy and enthalpy contributions to the Gibbs energy change at each step at high, and at low, temperatures can be conveniently explained by a two-state model of the water structure. The model provides a clear view of the dominant factors in protein folding and stability. Consequently, it appears to provide a microscopic view of the hydrophobic effect and is consistently linked to macroscopic thermodynamic parameters.

Discovering well-ordered folding patterns in nucleotide sequences.

MOTIVATION: Growing evidence demonstrates that local well-ordered structures are closely correlated with cis-acting elements in the post-transcriptional regulation of gene expression. The prediction of a well-ordered folding sequence (WFS) in genomic sequences is very helpful in the determination of local RNA elements with structure-dependent functions in mRNAs. RESULTS: In this study, the quality of local WFS is assessed by the energy difference (E(diff)) between the free energies of the global minimal structure folded in the segment and its corresponding optimal restrained structure (ORS). The ORS is an optimal structure under the condition in which none of the base-pairs in the global minimal structure is allowed to form. Those WFSs in HIV-1 mRNA, various ferritin mRNAs and genomic sequences containing let-7 RNA gene were searched by a novel method, ed_scan. Our results indicate that the detected WFSs are coincident with known Rev response element in HIV-1 mRNA, iron-responsive elements in ferritin mRNAs and small let-7 RNAs in Caenorhabditis elegans, Caenorhabditis briggsae and Drosophila melanogaster genomic sequences. Statistical significance of the WFS is addressed by a quantitative measure Zscr(e) that is a z-score of E(diff) and extensive random simulations. We suggest that WFSs with high statistical significance have structural roles involving their sequence information. AVAILABILITY: The source code of ed_scan is available via anonymous ftp as ftp://ftp.ncifcrf.gov/pub/users/shuyun/scan/ed_scan.tar.