The Epstein-Barr Virus Oncoprotein, LMP1, Regulates the Function of SENP2, a SUMO-protease.

Epstein-Barr virus (EBV) latent membrane protein-1 (LMP1) activates numerous signal transduction pathways using its C-terminal activating regions. We reported that LMP1 increased global levels of sumoylated proteins, which aided the oncogenic nature of LMP1. Because increased protein sumoylation is detected in numerous cancers, we wanted to elucidate additional mechanisms by which LMP1 modulates the sumoylation machinery. Results indicated that SUMO-protease activity decreased in a LMP1-dependent manner, so we hypothesized that LMP1 inhibits SUMO-protease activity, resulting in reduced de-sumoylation of cellular proteins, which contributes to the detected accumulation of sumoylated proteins in EBV-positive lymphomas. Focusing on SENP2, findings revealed that LMP1 expression corresponded with increased sumoylation of SENP2 at K48 and K447 in a CTAR-dependent manner. Interestingly, independent of LMP1-induced sumoylation of SENP2, LMP1 also decreased SENP2 activity, decreased SENP2 turnover, and altered the localization of SENP2, which led us to investigate if LMP1 regulated the biology of SENP2 by a different post-translational modification, specifically ubiquitination. Data showed that expression of LMP1 inhibited the ubiquitination of SENP2, and inhibition of ubiquitination was sufficient to mimic LMP1-induced changes in SENP2 activity and trafficking. Together, these findings suggest that LMP1 modulates different post-translational modifications of SENP2 in order to modulate its biology and identify a third member of the sumoylation machinery that is manipulated by LMP1 during latent EBV infections, which can affect oncogenesis.

Crystallization, optimization and preliminary X-ray characterization of a metal-dependent PI-PLC from Streptomyces antibioticus.

A recombinant metal-dependent phosphatidylinositol-specific phospholipase C (PI-PLC) from Streptomyces antibioticus has been crystallized by the hanging-drop method with and without heavy metals. The native crystals belonged to the orthorhombic space group P222, with unit-cell parameters a=41.26, b=51.86, c=154.78 Å. The X-ray diffraction results showed significant differences in the crystal quality of samples soaked with heavy atoms. Additionally, drop pinning, which increases the surface area of the drops, was also used to improve crystal growth and quality. The combination of heavy-metal soaks and drop pinning was found to be critical for producing high-quality crystals that diffracted to 1.23 Šresolution.

Characterization of a randomized FRET library for protease specificity determination.

Protease specificity determination is an important first step when characterizing novel proteases. Given the large number of proteases that are known to exist from genomic sequencing efforts, we reason that sensitive, reliable, and high-throughput methods to determine protease specificity must be developed. This study describes the construction and initial characterization of a protein based FRET library using the fluorescent proteins GFP and DsRed for such a purpose. Using a DNA "cassette" that allowed for directional insertion of annealed oligonucleotides between the genes encoding the GFP and DsRed proteins, we constructed a library using a mixture of standard nucleotide bases at 27 positions in the center of the oligonucleotide cassette. This resulted in a randomized linker region between these fluorescent donor-acceptor pairs to produce substrates with varied amino acids located between the proteins. Kinetic assays were then performed and monitored using the increase in GFP fluorescence to arrive at relative reaction velocities for a set of enzymes. These results demonstrated the ability of the enzymes tested to discriminate between different substrates and the resistance of GFP and DsRed to proteolysis. Colony screening, using color development and restriction enzyme digests, were shown to help eliminate DNA samples in the library that contained stop codons and/or deletions and a flow plan for the efficient use of the library is presented.

Computational active site analysis of molecular pathways to improve functional classification of enzymes.

This study describes a method to computationally assess the function of homologous enzymes through small molecule binding interaction energy. Three experimentally determined X-ray structures and four enzyme models from ornithine cyclo-deaminase, alanine dehydrogenase, and mu-crystallin were used in combination with nine small molecules to derive a function score (FS) for each enzyme-model combination. While energy values varied for a single molecule-enzyme combination due to differences in the active sites, we observe that the binding energies for the entire pathway were proportional for each set of small molecules investigated. This proportionality of energies for a reaction pathway appears to be dependent on the amino acids in the active site and their direct interactions with the small molecules, which allows a function score (FS) to be calculated to assess the specificity of each enzyme. Potential of mean force (PMF) calculations were used to obtain the energies, and the resulting FS values demonstrate that a measurement of function may be obtained using differences between these PMF values. Additionally, limitations of this method are discussed based on: (a) larger substrates with significant conformational flexibility; (b) low homology enzymes; and (c) open active sites. This method should be useful in accurately predicting specificity for single enzymes that have multiple steps in their reactions and in high throughput computational methods to accurately annotate uncharacterized proteins based on active site interaction analysis.

X-ray structure of the R69D phosphatidylinositol-specific phospholipase C enzyme: insight into the role of calcium and surrounding amino acids in active site geometry and catalysis.

Phosphatidylinositol-specific phospholipase Cs (PLCs) are a family of phosphodiesterases that catalyze the cleavage of the P-O bond via transesterification using the internal hydroxyl group of the substrate as a nucleophile, generating the five-membered cyclic inositol phosphate as an intermediate or product. To better understand the role of calcium in the catalytic mechanism of PLCs, we have determined the X-ray crystal structure of an engineered PLC enzyme from Bacillus thuringiensis to 2.1 A resolution. The active site of this enzyme has been altered by substituting the catalytic arginine with an aspartate at position 69 (R69D). This single-amino acid substitution converted a metal-independent, low-molecular weight enzyme into a metal ion-dependent bacterial PLC with an active site architecture similar to that of the larger metal ion-dependent mammalian PLC. The Ca(2+) ion shows a distorted square planar geometry in the active site that allows for efficient substrate binding and transition state stabilization during catalysis. Additional changes in the positions of the catalytic general acid/general base (GA/GB) were also observed, indicating the interrelation of the intricate hydrogen bonding network involved in stabilizing the active site amino acids. The functional information provided by this X-ray structure now allows for a better understanding of the catalytic mechanism, including stereochemical effects and substrate interactions, which facilitates better inhibitor design and sheds light on the possibilities of understanding how protein evolution might have occurred across this enzyme family.

Structural genomics of the Thermotoga maritima proteome implemented in a high-throughput structure determination pipeline.

Structural genomics is emerging as a principal approach to define protein structure-function relationships. To apply this approach on a genomic scale, novel methods and technologies must be developed to determine large numbers of structures. We describe the design and implementation of a high-throughput structural genomics pipeline and its application to the proteome of the thermophilic bacterium Thermotoga maritima. By using this pipeline, we successfully cloned and attempted expression of 1,376 of the predicted 1,877 genes (73%) and have identified crystallization conditions for 432 proteins, comprising 23% of the T. maritima proteome. Representative structures from TM0423 glycerol dehydrogenase and TM0449 thymidylate synthase-complementing protein are presented as examples of final outputs from the pipeline.