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The characteristic properties of Caenorhabditis elegans such as ATPase activity, mircotubule binding, oligomeric state, microtubule gliding activity, and direction of movement is determined in vitro using bacterially expressed KLP-15 constructs with different length extensions preceding the motor domain. It is concluded that Caenorhabdtis elegans is likely to be a slow, dimeric kinesin in vivo.

Circular dichroism (CD) spectroscopy beamlines at synchrotrons produce dramatically higher light flux than conventional CD instruments. This property of synchrotron radiation circular dichroism (SRCD) results in improved signal-to-noise ratios and allows data collection to lower wavelengths, characteristics that have led to the development of novel SRCD applications. Here we describe the use of SRCD to study protein complex formation, specifically evaluating the complex formed between carboxypeptidase A and its protein inhibitor latexin. Crystal structure analyses of this complex and the individual proteins reveal only minor changes in secondary structure of either protein upon complex formation (i.e., it involves only rigid body interactions). Conventional CD spectroscopy reports on changes in secondary structure and would therefore not be expected to be sensitive to such interactions. However, in this study we have shown that SRCD can identify differences in the vacuum ultraviolet CD spectra that are significant and attributable to complex formation. Proteins 2008. © 2007 Wiley-Liss, Inc. [ABSTRACT FROM AUTHOR]

Libraries of antibody fragments displayed on filamentous phages have proved their value to generate human antibodies against virtually any target. We describe here a simple protocol to make large and diverse libraries based on a single or a limited number of frameworks. The approach is flexible enough to be used with any antibody format, either single-chain (scFv, VHH) or multi-chain (Fv, Fab, (Fab')2), and to target in a single step the six complementarity-determining regions-or any other part-of the antibody molecule. Using this protocol, libraries larger than 10 10 can be easily constructed in a single week.

Developmentally regulated G-proteins (DRGs) are a highly conserved family of GTP-binding proteins found in archaea, plants, fungi and animals, indicating important roles in fundamental pathways. Their function is poorly understood, but they have been implicated in cell division, proliferation, and growth, as well as several medical conditions. Individual subfamilies within the G-protein superfamily possess unique nucleotide binding and hydrolysis rates that are intrinsic to their cellular function, and so characterization of these rates for a particular G-protein may provide insight into its cellular activity. We have produced recombinant active DRG protein using a bacterial expression system and refolding, and performed biochemical characterization of their GTP binding and hydrolysis. We show that recombinant Arabidopsis thaliana atDRG1 and atDRG2a are able to bind GDP and GTP. We also show that DRGs can hydrolyze GTP in vitro without the assistance of GTPase-activating proteins and guanine exchange factors. The atDRG proteins hydrolyze GTP at a relatively slow rate (0.94x10(-3)min(-1) for DRG1 and 1.36x10(-3)min(-1) for DRG2) that is consistent with their nearest characterized relatives, the Obg subfamily. The ability of DRGs to bind nucleotide substrates without assistance, their slow rate of GTP hydrolysis, heat stress activation and domain conservation suggest a possible role as a chaperone in ribosome assembly in response to stress as it has been suggested for the Obg proteins, a different but related G-protein subfamily.

Ran-GTP interacts strongly with importin-beta, and this interaction promotes the release of the importin-alpha-nuclear localization signal cargo from importin-beta. Ran-GDP also interacts with importin-beta, but this interaction is 4 orders of magnitude weaker than the Ran-GTP.importin-beta interaction. Here we use the yeast complement of nuclear import proteins to show that the interaction between Ran-GDP and importin-beta promotes the dissociation of GDP from Ran. The release of GDP from the Ran-GDP-importin-beta complex stabilizes the complex, which cannot be dissociated by importin-alpha. Although Ran has a higher affinity for GDP compared with GTP, Ran in complex with importin-beta has a higher affinity for GTP. This feature is responsible for the generation of Ran-GTP from Ran-GDP by importin-beta. Ran-binding protein-1 (RanBP1) activates this reaction by forming a trimeric complex with Ran-GDP and importin-beta. Importin-alpha inhibits the GDP exchange reaction by sequestering importin-beta, whereas RanBP1 restores the GDP nucleotide exchange by importin-beta by forming a tetrameric complex with importin-beta, Ran, and importin-alpha. The exchange is also inhibited by nuclear-transport factor-2 (NTF2). We suggest a mechanism for nuclear import, additional to the established RCC1 (Ran-guanine exchange factor)-dependent pathway that incorporates these results.

Expression of insoluble protein in E. coli is a major bottleneck of high throughput structural biology projects. Refolding proteins into native conformations from inclusion bodies could significantly increase the number of protein targets that can be taken on to structural studies. This chapter presents a simple assay for screening insoluble protein targets and identifying those that are most amenable to refolding. The assay is based on the observation that when proteins are refolded while bound to metal affinity resin, misfolded proteins are generally not eluted by imidazole. This difference is exploited here to distinguish between folded and misfolded proteins. Two implementations of the assay are described. The assay fits well into a standard high throughput structural biology pipeline, because it begins with the inclusion body preparations that are a byproduct of small-scale, automated expression and purification trials and does not require additional facilities. Two formats of the assay are described, a manual assay that is useful for screening small numbers of targets, and an automated implementation that is useful for large numbers of targets.

This chapter describes the methodology adopted in a project aimed at structural and functional characterization of proteins that potentially play an important role in mammalian macrophages. The methodology that underpins this project is applicable to both small research groups and larger structural genomics consortia. Gene products with putative roles in macrophage function are identified using gene expression information obtained via DNA microarray technology. Specific targets for structural and functional characterization are then selected based on a set of criteria aimed at maximizing insight into function. The target proteins are cloned using a modification of Gateway cloning technology, expressed with hexa-histidine tags in E. coli, and purified to homogeneity using a combination of affinity and size exclusion chromatography. Purified proteins are finally subjected to crystallization trials and/or NMR-based screening to identify candidates for structure determination. Where crystallography and NMR approaches are unsuccessful, chemical cross-linking is employed to obtain structural information. This resulting structural information is used to guide cell biology experiments to further investigate the cellular and molecular function of the targets in macrophage biology. Jointly, the data sheds light on the molecular and cellular functions of macrophage proteins.

Increasing the success in obtaining structures and maximizing the value of the structures determined are the two major goals of target selection in structural proteomics. This chapter presents an efficient and flexible target selection procedure supplemented with a Web-based resource that is suitable for small- to large-scale structural genomics projects that use crystallography as the major means of structure determination. Based on three criteria, biological significance, structural novelty, and "crystallizability," the approach first removes (filters) targets that do not meet minimal criteria and then ranks the remaining targets based on their "crystallizability" estimates. This novel procedure was designed to maximize selection efficiency, and its prevailing criteria categories make it suitable for a broad range of structural proteomics projects.