Role of N-terminal helix in interaction of ribosomal protein S15 with 16S rRNA

The position and conformation of the N-terminal helix of free ribosomal protein S15 was earlier found to be modified under various conditions. This variability was supposed to provide the recognition by the protein of its specific site on 16S rRNA. To test this hypothesis, we substituted some amino acid residues in this helix and assessed effects of these substitutions on the affinity of the protein for 16S rRNA. The crystal structure of the complex of one of these mutants (Thr3Cys S15) with the 16S rRNA fragment was determined, and a computer model of the complex containing another mutant (Gln8Met S15) was designed. The available and new information was analyzed in detail, and the N-terminal helix was concluded to play no significant role in the specific binding of the S15 protein to its target on 16S rRNA.     

Calculation of ligand-nucleic acid binding free energies with the generalized-born model in DOCK

The calculation of ligand-nucleic acid binding free energies is investigated by including solvation effects computed with the generalized-Born model. Modifications of the solvation module in DOCK, including introduction of all-atom parameters and revision of coefficients in front of different terms, are shown to improve calculations involving nucleic acids. This computing scheme is capable of calculating binding energies, with reasonable accuracy, for a wide variety of DNA-ligand complexes, RNA-ligand complexes, and even for the formation of double-stranded DNA. This implementation of GB/SA is also shown to be capable of discriminating strong ligands from poor ligands for a series of RNA aptamers without sacrificing the high efficiency of the previous implementation. These results validate this approach to screening large databases against nucleic acid targets.     

Micellar environments induce structuring of the N-terminal tail of the prion protein

In the physiological form, the prion protein is a glycoprotein tethered to the cell surface via a C-terminal glycosylphosphatidylinositol anchor, consisting of a largely alpha-helical globular C-terminal domain and an unstructured N-terminal portion. This unstructured part of the protein contains four successive octapeptide repeats, which were shown to bind up to four Cu(2+) ions in a cooperative manner. To mimic the location of the protein on the cell membrane and to analyze possible structuring effects of the lipid/water interface, the conformational preferences of a single octapeptide repeat and its tetrameric form, as well of the fragment 92-113, proposed as an additional copper binding site, were comparatively analyzed in aqueous and dodecylphosphocholine micellar solution as a membrane mimetic. While for the downstream fragment 92-113 no conformational effects were detectable in the presence of DPC micelles by CD and NMR, both the single octapeptide repeat and, in an even more pronounced manner, its tetrameric form are restricted into well-defined conformations. Because of the repetitive character of the rigid structural subdomain in the tetrarepeat molecule, the spatial arrangement of these identical motifs could not be resolved by NMR analysis. However, the polyvalent nature of the repetitive subunits leads to a remarkably enhanced interaction with the micelles, which is not detectably affected by copper complexation. These results strongly suggest interactions of the cellular form of PrP (PrP(c)) N-terminal tail with the cell membrane surface at least in the octapeptide repeat region with preorganization of these sequence portions for copper complexation. There are sufficient experimental facts known that support a physiological role of copper complexation by the octapeptide repeat region of PrP(c) such as a copper-buffering role of the PrP(c) protein on the extracellular surface.     

A novel apoptotic pathway as defined by lectin cellular initiation

In this study of lectin-induced apoptosis we found that wheat germ agglutinin (WGA) initiated an accelerated type of programmed cell death developing after only 30 min of incubation with tumor cells. To analyze possible mechanisms, studies were focused using the WGA lectin whose carbohydrate specificity is well defined. We found that WGA could induce apoptosis by binding to either N-acetylneuraminic acid or N-acetylglucosamine (GlcNAc) on the cell surface of normal and malignant cells. We also showed that it is unlikely that WGA triggers apoptosis by binding to the carbohydrate portion of Fas. CrmA gene transfection did not inhibit WGA-mediated apoptosis of Jurkat cells. In addition, Jurkat-R cells selected for resistance to Fas signaled apoptosis manifested high sensitivity to WGA as did Fas-negative BL6 melanoma cells. WGA-induced apoptosis is also caspase-3-independent and was found to be triggered via a mitochondrial pathway. WGA induced a loss of transmembrane potential, disruption of the inner mitochondria membrane, and release of cytochrome c and caspase-9 activation after 30 min of cell interaction. Interestingly, Bcl-2 gene transfection did not affect sensitivity of Jurkat cells to WGA. The Jurkat-R subline that has been shown to be Bax and Bak deficient and resistant to various apoptotic signals was highly sensitive to WGA-induced apoptosis. In summary, WGA triggers a unique pattern of apoptosis that is extremely fast, Fas- and caspase-3-independent, and is mediated via a mitochondrial pathway. However, its mitochondrial component is unrestrained by the loss of Bax and Bak or the upregulation of Bcl-2 expression.     

Sedimentation equilibrium analysis of protein interactions with global implicit mass conservation constraints and systematic noise decomposition

Sedimentation equilibrium is a powerful tool for the characterization of protein self-association and heterogeneous protein interactions. Frequently, it is applied in a configuration with relatively long solution columns and with equilibrium profiles being acquired sequentially at several rotor speeds. The present study proposes computational tools, implemented in the software SEDPHAT, for the global analysis of equilibrium data at multiple rotor speeds with multiple concentrations and multiple optical detection methods. The detailed global modeling of such equilibrium data can be a nontrivial computational problem. It was shown previously that mass conservation constraints can significantly improve and extend the analysis of heterogeneous protein interactions. Here, a method for using conservation of mass constraints for the macromolecular redistribution is proposed in which the effective loading concentrations are calculated from the sedimentation equilibrium profiles. The approach is similar to that described by Roark (Biophys. Chem. 5 (1976) 185-196), but its utility is extended by determining the bottom position of the solution columns from the macromolecular redistribution. For analyzing heterogeneous associations at multiple protein concentrations, additional constraints that relate the effective loading concentrations of the different components or their molar ratio in the global analysis are introduced. Equilibrium profiles at multiple rotor speeds also permit the algebraic determination of radial-dependent baseline profiles, which can govern interference optical ultracentrifugation data, but usually also occur, to a smaller extent, in absorbance optical data. Finally, the global analysis of equilibrium profiles at multiple rotor speeds with implicit mass conservation and computation of the bottom of the solution column provides an unbiased scale for determining molar mass distributions of noninteracting species. The properties of these tools are studied with theoretical and experimental data sets.     

High-throughput phenotypic profiling of gene-environment interactions by quantitative growth curve analysis in Saccharomyces cerevisiae

Cell-based assays are widely used in high-throughput screening to determine the effects of toxicants and drugs on their biological targets. To enable a functional genomics modeling of gene-environment interactions, quantitative assays are required both for gene expression and for the phenotypic responses to environmental challenge. To address this need, we describe an automated high-throughput methodology that provides phenotypic profiling of the cellular responses to environmental stress in Saccharomyces cerevisiae. Standardized assay conditions enable the use of a single metric value to quantify yeast microculture growth curves. This assay format allows precise control of both genetic and environmental determinants of the cellular responses to oxidative stress, a common mechanism of environmental insult. These yeast-cell-based assays are validated with hydrogen peroxide, a simple direct-acting oxidant. Phenotypic profiling of the oxidative stress response of a yap1 mutant strain demonstrates the mechanistic analysis of genetic susceptibility to oxidative stress. As a proof of concept for analysis of more complex gene-environment interactions, we describe a combinatorial assay design for phenotypic profiling of the cellular responses to tert-butyl hydroperoxide, a complex oxidant that is actively metabolized by its target cells. Thus, the yeast microculture assay format supports comprehensive applications in toxicogenomics.     

A novel RGDS-analog inhibits angiogenesis in vitro and in vivo

In this study the anti-angiogenic action of a novel non-peptide RGDS-analog named RAM was tested in vitro and in vivo. RAM inhibited FGF-2-induced chemotaxis by 80% in an adhesion-independent way. Further, it induced HUVEC-apoptosis in collagen-seeded HUVEC, indicating that such pro-apoptotic effect was adhesion-independent. In vivo studies revealed that RAM inhibited FGF-2 induced angiogenesis by 60% in the mouse Matrigel-assay and in the chicken-egg chorion-allantoic membrane assay. Finally, RAM was markedly more stable in serum as compared to the template RGDS and after 24 h incubation in 100% serum was significantly more active than RGDS. Taken together these results show that RAM exerts anti-chemotactic and pro-apoptotic effects, by an unexpected adhesion-independent mechanism, as we have recently shown for the template RGDS molecule [Blood 103 (2004) 4180], and has in vivo relevant anti-angiogenic properties, with marked stability in serum; therefore, RAM represents a novel promising anti-angiogenic molecule.     

Redefinition of the cleavage sites of DNase I on the nucleosome core particle

DNase I has been widely used for the footprinting of DNA-protein interactions including analyses of nucleosome core particle (NCP) structure. Our understanding of the relationship between the footprint and the structure of the nucleosome complex comes mainly from digestion studies of NCPs, since they have a well-defined quasi-symmetrical structure and have been widely investigated. However, several recent results suggest that the established consensus of opinion regarding the mode of digestion of NCPs by DNase I may be based on erroneous interpretation of results concerning the relationship between the NCP ends and the dyad axis. Here, we have used reconstituted NCPs with defined ends, bulk NCPs prepared with micrococcal nuclease and molecular modelling to reassess the mode of DNase I digestion. Our results indicate that DNase I cuts the two strands of the nucleosomal DNA independently with an average stagger of 4 nt with the 3'-ends protruding. The previously accepted value of 2 nt stagger is explained by the finding that micrococcal nuclease produces NCPs not with flush ends, but with approximately 1 nt 5'-recessed ends. Furthermore we explain why the DNA stagger is an even and not an odd number of nucleotides. These results are important for studies using DNase I to probe nucleosome structure in complex with other proteins or any DNA-protein complex containing B-form DNA. We also determine the origin of the 10n +/- 5 nt periodicity found in the internucleosomal ladder of DNase I digests of chromatin from various species. The explanation of the 10n +/- 5 nt ladder may have implications for the structure of the 30 nm fibre.     

Analysis of ordered and disordered protein complexes reveals structural features discriminating between stable and unstable monomers

Most proteins exist in the cell as multi-component assemblies. However, which proteins need to be present simultaneously in order to perform a given function is frequently unknown. The first step toward this goal would be to predict proteins that can function only when in a complexed form. Here, we propose a scheme to distinguish whether the protein components are ordered (stable) or disordered when separated from their complexed partners. We analyze structural characteristics of several types of complexes, such as natively unstructured proteins, ribosomal proteins, two-state and three-state complexes, and crystal-packing dimers. Our analysis makes use of the fact that natively unstructured proteins, which undergo a disorder-to-order transition upon binding their partner, and stable monomeric proteins, which exist as dimers only in their crystal form, provide examples of two vastly different scenarios. We find that ordered monomers can be distinguished from disordered monomers on the basis of the per-residue surface and interface areas, which are significantly smaller for ordered proteins. With this scale, two-state dimers (where the monomers unfold upon dimer separation) and ribosomal proteins are shown to resemble disordered proteins. On the other hand, crystal-packing dimers, whose monomers are stable in solution, fall into the ordered protein category. While there should be a continuum in the distributions, nevertheless, the per-residue scale measures the confidence in the determination of whether a protein can exist as a stable monomer. Further analysis, focusing on the chemical and contact preferences at the interface, interior and exposed surface areas, reveals that disordered proteins lack a strong hydrophobic core and are composed of highly polar surface area. We discuss the implication of our results for de novo design of stable monomeric proteins and peptides.