The last exon of SNAP-23 regulates granule exocytosis from mast cells

SNAP-25 and its ubiquitous homolog SNAP-23 are members of the SNARE family of proteins that regulate membrane fusion during exocytosis. Although SNAP-23 has been shown to participate in a variety of intracellular transport processes, the structural domains of SNAP-23 that are required for its interaction with other SNAREs have not been determined. By employing deletion mutagenesis we found that deletion of the amino-terminal 18 amino acids of SNAP-23 (encoded in the first exon) dramatically inhibited binding of SNAP-23 to both the target SNARE syntaxin and the vesicle SNARE vesicle-associated membrane protein(VAMP). By contrast, deletion of the carboxyl-terminal 23 amino acids (encoded in the last exon) of SNAP-23 does not affect SNAP-23 binding to syntaxin but profoundly inhibits its binding to VAMP. To determine the functional relevance of the modular structure of SNAP-23, we overexpressed SNAP-23 in cells possessing the capacity to undergo regulated exocytosis. Expression of human SNAP-23 in a rat mast cell line significantly enhanced exocytosis, and this effect was not observed in transfectants expressing the carboxyl-terminal VAMP-binding mutant of SNAP-23. Despite considerable amino acid identity, we found that human SNAP-23 bound to SNAREs more efficiently than did rat SNAP-23. These data demonstrate that the introduction of a "better" SNARE binder into secretory cells augments exocytosis and defines the carboxyl terminus of SNAP-23 as an essential regulator of exocytosis in mast cells.     

Protein structure determination using a database of interatomic distance probabilities

The accelerated pace of genomic sequencing has increased the demand for structural models of gene products. Improved quantitative methods are needed to study the many systems (e.g., macromolecular assemblies) for which data are scarce. Here, we describe a new molecular dynamics method for protein structure determination and molecular modeling. An energy function, or database potential, is derived from distributions of interatomic distances obtained from a database of known structures. X-ray crystal structures are refined by molecular dynamics with the new energy function replacing the Van der Waals potential. Compared to standard methods, this method improved the atomic positions, interatomic distances, and side-chain dihedral angles of structures randomized to mimic the early stages of refinement. The greatest enhancement in side-chain placement was observed for groups that are characteristically buried. More accurate calculated model phases will follow from improved interatomic distances. Details usually seen only in high-resolution refinements were improved, as is shown by an R-factor analysis. The improvements were greatest when refinements were carried out using X-ray data truncated at 3.5 A. The database potential should therefore be a valuable tool for determining X-ray structures, especially when only low-resolution data are available.     

Electron crystallography of bacteriorhodopsin with millisecond time resolution

The goal of time-resolved crystallographic experiments is to capture dynamic "snapshots" of molecules at different stages of a reaction pathway. In recent work, we have developed approaches to determine determined light-induced conformational changes in the proton pump bacteriorhodopsin by electron crystallographic analysis of two-dimensional protein crystals. For this purpose, crystals of bacteriorhodopsin were deposited on an electron microscopic grid and were plunge-frozen in liquid ethane at a variety of times after illumination. Electron diffraction patterns were recorded either from unilluminated crystals or from crystals frozen as early as 1 ms after illumination and used to construct projection difference Fourier maps at 3.5-A resolution to define light-driven changes in protein conformation. As demonstrated here, the data are of a sufficiently high quality that structure factors obtained from a single electron diffraction pattern of a plunge-frozen bacteriorhodopsin crystal are adequate to obtain an interpretable difference Fourier map. These difference maps report on the nature and extent of light-induced conformational changes in the photocycle and have provided incisive tools for understanding the molecular mechanism of proton transport by bacteriorhodopsin.     

Elevated oxidative stress in models of normal brain aging and Alzheimer's disease

Age-associated neurodegenerative disorders are becoming more prevalent as the mean age of the population increases in the United States over the next few decades. Both normal brain aging and Alzheimer's disease (AD) are associated with oxidative stress. Our laboratory has used a wide variety of physical and biochemical methods to investigate free radical oxidative stress in several models of aging and AD. Beta-amyloid (A beta), the peptide that constitutes the central core of senile plaques in AD brain, is associated with free radical oxidative stress and is toxic to neurons. This review summarizes some of our studies in aging and A beta-associated free radical oxidative stress and on the modulating effects of free radical scavengers on neocortical synaptosomal membrane damage found in aging and A beta-treated systems.     

Time course studies on the functional evaluation of experimental chronic myocardial infarction in rats

In vivo models of myocardial infarction induced by coronary artery ligation (CAL) in rats usually suffer from high early mortality and a low rate of induction. This study investigated the time course initiation of chronic myocardial infarction (CMI) in albino rats and the possibility of reducing early mortality rate due to myocardial infarction by modification of the surgical technique. CAL was carried out by passing the suture through the epicardial layer around the midway of the left anterior descending coronary artery including a small area of the myocardium to avoid mechanical damage to the heart geometry. In addition, the role of endothelin-1 (ET-1) in rat heart with congestive heart failure was critically assessed. Time course initiation experiments were designed by sacrificing the animals at different time intervals and by carrying out physiological, biochemical, histopathological, electron microscopical and immunohistochemical studies. Specific markers of myocardial injury, viz. cardiac troponin-T (cTnT), high sensitivity C-reactive protein, lactate dehydrogenase and fibrinogen were measured at different time points. Serum marker enzymes and activities of lysosomal hydrolases were found to be elevated on the eighth day post-ligation. Histopathological studies demonstrated focal areas showing fibrovascular tissue containing fibroblasts, collagenous ground substance and numerous small capillaries replacing cardiac muscle fibers. Transmission electron micrographs exhibited mitochondrial changes of well-developed irreversible cardiac injury, viz. swelling, disorganization of cristae, appearance of mitochondrial amorphous matrix densities, significant distortion of muscle fibers and distinct disruption of the intercalated discs. Immunoblotting studies confirmed the presence of alpha 2-macroglobulin which supported the inflammatory response. The severity of the CMI was inferred by the measurement of the level of ET-1 in plasma and left ventricle which was significantly higher in the CMI rats than in the sham-operated rats. Immunohistochemical studies at different time intervals showed that there was a significant immunoexpression of ET-1 on the eighth day post-ligation. This study conclusively showed that ligation of left anterior descending artery minimized mortality and ET-1 was expressed during CMI.     

Bioinformatics and cellular signaling

The understanding of cellular function requires an integrated analysis of context-specific, spatiotemporal data from diverse sources. Recent advances in describing the genomic and proteomic 'parts list' of the cell and deciphering the interrelationship of these parts are described, including genome-wide location analysis, standards for microarray data analysis, and two-hybrid and mass spectrometry approaches. This information is being collected and curated in databases such as the Alliance for Cellular Signaling (AfCS) Molecule Pages, which will serve as vital tools for the reconstruction and analysis of cellular signaling networks.     

NMR of alpha-synuclein-polyamine complexes elucidates the mechanism and kinetics of induced aggregation

The aggregation of alpha-synuclein is characteristic of Parkinson's disease (PD) and other neurodegenerative synucleinopathies. The 140-aa protein is natively unstructured; thus, ligands binding to the monomeric form are of therapeutic interest. Biogenic polyamines promote the aggregation of alpha-synuclein and may constitute endogenous agents modulating the pathogenesis of PD. We characterized the complexes of natural and synthetic polyamines with alpha-synuclein by NMR and assigned the binding site to C-terminal residues 109-140. Dissociation constants were derived from chemical shift perturbations. Greater polyamine charge (+2 --> +5) correlated with increased affinity and enhancement of fibrillation, for which we propose a simple kinetic mechanism involving a dimeric nucleation center. According to the analysis, polyamines increase the extent of nucleation by approximately 10(4) and the rate of monomer addition approximately 40-fold. Significant secondary structure is not induced in monomeric alpha-synuclein by polyamines at 15 degrees C. Instead, NMR reveals changes in a region (aa 22-93) far removed from the polyamine binding site and presumed to adopt the beta-sheet conformation characteristic of fibrillar alpha-synuclein. We conclude that the C-terminal domain acts as a regulator of alpha-synuclein aggregation.     

Protein fragment clustering and canonical local shapes

A novel clustering method is used to cluster protein fragments by shape. The centroids (mean fragments from each cluster) form a basis set of structural motifs. A database of 156,643 seven-residue fragments is used, and eight different basis sets with varying levels of resolution are generated. Coarse basis sets contain tens of centroids and provide meaningful local shapes, which are more detailed than the traditional secondary structure categories. High-resolution basis sets contain thousands of centroids and can be used to model tertiary structure of longer segments. The basis sets generated fit nontraining set proteins with the expected accuracy.