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At least 757 records · Page 42Linked to original sources

High-resolution computer simulation of the dynamics of isoelectric focusing using carrier ampholytes: the post-separation stabilizing phase revisited.

A dynamic electrophoresis simulator that accepts 150 components and voltage gradients employed in the laboratory was used to provide a detailed description of the stabilizing phase in isoelectric focusing under conditions that were hitherto inaccessible. High-resolution focusing data are presented for pH gradients spanning 7 units (pH 3-10 and pH 4-11 with 20 carrier ampholytes/pH unit) and 3.5 units (pH 7-10.5 and pH 5-8.5 with 40 carrier ampholytes/pH unit). Stabilizing phase behavior for configurations (i) with the focusing column ends only permeable to OH(-) and H(+) at cathode and anode, respectively, and (ii) with the focusing column being sandwiched between NaOH (catholyte) and phosphoric acid (anolyte) are described. Simulation data reveal the stabilizing phase to be diffusion-controlled and characterized by changes that progress from the column ends towards neutrality (i.e., towards the center in case of pH gradients bracketing neutrality). Transient states are characterized by moving concentration valleys of carrier ampholytes that significantly alter the distributions of pH and conductivity. Nonlinear pH gradients are produced. The magnitude of the changes occuring is dependent on the span of the pH gradient. Gradients that encompass greater extremes of pH show more pronounced stabilizing phases. For all systems subjected to a constant 300 V/cm, the initial separation and subsequent stabilization require less than 10 min and more than 7000 min, respectively. The presence of electrolytes at the column ends disrupts the stabilizing phase, with the degree of disruption dependent on the concentrations of the acid and base employed as electrode solutions. The data not only indicate that a true steady state is never attained in the average laboratory experiment, they also suggest that a true steady state in absence of immobilized pH gradients cannot be achieved experimentally at all.

Buffers↗

Redesigning enzymes by site-directed mutagenesis.

The systematic alteration of protein structure has now become possible with genetic engineering. Recent developments in techniques for the chemical synthesis of DNA fragments and in recombinant DNA technology have enabled the facile modification of proteins by highly specific mutagenesis of their genes. Enzymes with novel properties may be produced in large quantities from the mutant genes. Kinetic analysis of the mutant enzymes can be combined with high-resolution structural data from protein X-ray crystallography to provide direct measurements on the relationships between structure and function. In particular, the strength and nature of enzyme-substrate interactions and their roles in catalysis and specificity may be studied. The tyrosyl-tRNA synthetase from Bacillus stearothermophilus is being systematically analysed by site-directed mutagenesis. A fine-structure analysis is revealing the subtle roles of hydrogen bonding in catalysis and specificity. Modification of the residues that hydrogen-bond with ATP and tyrosine shows how the energetics must be analysed in terms of an exchange reaction with solvent water. Based on this idea, and structural data, an enzyme of vastly improved enzyme-substrate affinity has been engineered. There thus appear to be real prospects of engineering proteins of new specificities, activities and structural properties. Direct information is also being gathered on the nature of enzyme catalysis. For example, the catalysis of formation of Tyr-AMP from Tyr and ATP does not appear to use the classical mechanisms of acid-base or covalent catalysis. Instead, there just appears to be a binding site that stabilizes the high-energy pentacoordinate intermediate in the reaction.

Adenosine Triphosphate↗

Follow-up mapping supports the evidence for linkage in the candidate region at 9q22 in the NIMH Alzheimer's disease Genetics Initiative cohort.

Other than the APOE peak at 19q13, the 9q22 region was identified in our original genomic scan as the candidate region with the highest multipoint lod score (MLS) in the subset of late onset Alzheimer's Disease (AD) families (MLS = 2.9 at 101 cM) from the NIMH Genetics Initiative sample. We have now genotyped an additional 12 short tandem repeats (STR) in this region. Multipoint analysis shows the region remains significant with an increase in the peak MLS from 2.9 to 3.8 at 95 cM near marker D9S1815, and the 1 LOD interval narrows from 21.5 to 11 cM. HLOD scores also provide evidence for significant linkage (4.5 with an alpha = 31%) with a further narrowing of the region to 6.6 cM (92.2-98.8 cM). Single nucleotide polymorphisms (SNPs) in the Ubiquilin1 gene (UBQLN1), located at 83.3 cM, have been reported to be significantly associated to AD, accounting for a substantial portion of the original linkage signal [Bertram et al., 2005]. Our analyses of the higher resolution genotype data generated here provide further support for the existence of a least one additional locus on chromosome 9q22. In an effort to pinpoint this putative AD susceptibility gene, we have begun to analyze SNPs in other candidate genes in and around this narrowed region to test for additional associations to AD.

Age of Onset↗

Torsional barriers in aromatic molecular clusters as probe of the electronic properties of the chromophore.

We present a computer program that is capable of fitting n-fold torsional barriers Vn (n = 2-6) and torsional constants F simultaneously to high- and low-resolution spectroscopic data of different isotopomeric internal rotors. The program has been utilized to fit independently barriers and torsional constants for both electronic states of several aromatic clusters. The constant F of the ammonia moiety in the phenol-ammonia cluster is shown to decrease upon electronic excitation, thus imaging the formation of a hydrogen-bonded complex between the phenoxy radical and the NH4 radical in the excited state. In contrast, for the naphthol-ammonia 1:1 clusters no change of F of ammonia could be found. For phenol-methanol cluster we found a decrease of F upon excitation which points to a stronger hydrogen bond between phenol and methanol in the excited state. A strong reduction of the torsional barrier upon excitation points to the formation of a methoxonium radical in a similar photoreaction as in phenol-ammonia cluster. For the phenol-water system we postulate the same mechanism, a photoreaction, which leads to a translocated hydrogen atom in the S1 state what can be deduced from the change of the torsional constant upon electronic excitation.

Journal Article↗

High-resolution computer simulation of the dynamics of isoelectric focusing of proteins.

A dynamic electrophoresis simulator that accepts 150 components and voltage gradients employed in the laboratory was used to provide a detailed description of the focusing process of proteins under conditions that were hitherto inaccessible. High-resolution focusing data of four hemoglobin variants in a convection-free medium are presented for pH 3-10 and pH 5-8 gradients formed with 20 and 40 carrier ampholytes/pH unit, respectively. With 300 V/cm, focusing is shown to occur within 5-10 min, whereas at 600 V/cm separation is predicted to be complete between 2.5 and 5 min. The time interval required for focusing of proteins is demonstrated to be dependent on the input protein charge data and, however less, on the properties of the carrier ampholytes. The simulation data reveal that the number of transient protein boundaries migrating from the two ends of the column towards the focusing positions is equal to the number of sample components. Each protein is being focused via the well-known double-peak approach to equilibrium, a process that is also characteristic for focusing of the carrier ampholytes. The predicted focusing dynamics for the hemoglobin variants in pH 3-10 and pH 5-8 gradients are shown to qualitatively agree well with experimental data obtained by whole-column optical imaging.

Computer Simulation↗

Tissue-specific time courses of spontaneous mutation frequency and deviations in mutation pattern are observed in middle to late adulthood in Big Blue mice.

To better define the time course of spontaneous mutation frequency in middle to late adulthood of the mouse, measurements were made at 10, 14, 17, 23, 25, and 30 months of age in samples of adipose tissue, liver, cerebellum (90% neurons), and the male germline (95% germ cells). A total of 46 million plaque-forming units (pfus) were screened at the six time points and 1,450 circular blue plaques were harvested and sequenced. These data improve resolution and confirm the previously observed occurrence of at least two tissue-specific profiles of spontaneous mutation frequency (elevation with age in adipose tissue and liver, and constancy with age in neurons and male germ cells), a low mutation frequency in the male germline, and a mutation pattern unchanged with age within a tissue. These findings appear to extend to very old age (30 months). Additional findings include interanimal variation in spontaneous mutation frequency is larger in adipose tissues and liver compared with neurons and male germ cells, and subtle but significant differences in the mutation pattern among tissues, consistent with a minor effect of tissue-specific metabolism. The presumptive unaltered balance of DNA damage and repair with age in the male germline has evolutionary consequences. It is of particular interest given the controversy over whether or not increasing germline mutation frequency with paternal age underlies the reports associating older males with a higher incidence of some types of genetic disease. These most detailed measurements available to date regarding the time course of spontaneous mutation frequency and pattern in individual tissues help to constrain hypotheses regarding the role of mutational mechanisms in DNA repair and aging.

Adipose Tissue↗

The crystal structure of p13suc1, a p34cdc2-interacting cell cycle control protein.

p13suc1 binds to p34cdc2 kinase and is essential for cell cycle progression in eukaryotic cells. The crystal structure of S.pombe p13suc1 has been solved to 2.7 A resolution using data collected at the ESRF source, Grenoble, from both native crystals and crystals of a seleno-methionine derivative. The starting point for structure solution was the determination of the six selenium sites by direct methods. The structure is dominated by a four-stranded beta-sheet, with four further alpha-helical regions. p13suc1 crystallizes as a dimer in the asymmetric unit stabilized by the binding of two zinc ions. A third zinc site stabilizes the higher-order crystal packing. The sites are consistent with a requirement for zinc during crystal growth. A likely site for p13suc1-protein interaction is immediately evident on one face of the p13suc1 surface. This region comprises a group of conserved, exposed aromatic and hydrophobic residues below a flexible negatively charged loop. A conserved positively charged area would also present a notable surface feature in the monomer, but is buried at the dimer interface. p13suc1 is larger than its recently solved human homologue p9CKS2, with the extra polypeptide forming a helical N-terminal extension and a surface loop between alpha-helices 3 and 4. Notably, p13suc1 does not show the unusual beta-strand exchange that creates an intimate p9CKS2 dimer. p13suc1 cannot oligomerize to form a stable hexamer as has been proposed for p9CKS2.

Amino Acid Sequence↗

Matrix effects on accurate mass measurements of low-molecular weight compounds using liquid chromatography-electrospray-quadrupole time-of-flight mass spectrometry.

Liquid chromatography (LC) with high-resolution mass spectrometry (HRMS) represents a powerful technique for the identification and/or confirmation of small molecules, i.e. drugs, metabolites or contaminants, in different matrices. However, reliability of analyte identification by HRMS is being challenged by the uncertainty that affects the exact mass measurement. This parameter, characterized by accuracy and precision, is influenced by sample matrix and interferent compounds so that questions about how to develop and validate reliable LC-HRMS-based methods are being raised. Experimental approaches for studying the effects of various key factors influencing mass accuracy on low-molecular weight compounds (MW < 150 Da) when using a quadrupole-time-of-flight (QTOF) mass analyzer were described. Biogenic amines in human plasma were considered for the purpose and the effects of peak shape, ion abundance, resolution and data processing on accurate mass measurements of the analytes were evaluated. In addition, the influence of the matrix on the uncertainty associated with their identification and quantitation is discussed. A critical evaluation on the calculation of the limits of detection was carried out, considering the uncertainty associated with exact mass measurement of HRMS-based methods. The minimum concentration level of the analytes that was able to provide a statistical error lower than 5 ppm in terms of precision was 10 times higher than those calculated with S/N = 3, thus suggesting the importance of considering both components of exact mass measurement uncertainty in the evaluation of the limit of detection.

Calibration↗

Multi-frequency high-field EPR studies on metal-substituted xylose isomerase.

The bacterial enzyme D-xylose isomerase (XI) catalyses the conversion of D-xylose to D-xylulose. Each subunit of the homotetrameric protein contains a bimetallic active centre requiring divalent metal ions such as Mg2+, Mn2+ or Co2+ for catalytic activity. We report here on XI in which the metal binding site 1 is specifically loaded with EPR active Mn2+, while binding site 2 is occupied by Co2+ or Cd2+, rendering a catalytically active or inactive species respectively. The Q-band (34 GHz) EPR spectra of these mixed-metal samples (Co2+/Mn2+ and Cd2+/Mn2+ XI) show a clear influence of the metal in site 2 on the Mn2+ EPR parameters. Likewise, a systematic increase of the zero field splitting parameters (zfs) of Mn2+ in site 1 upon incubation with the inhibitor xylitol or substrates for both mixed-metal samples is found. For Co2+/Mn2+ XI complexed with substrate, a drastic line broadening of the central -1/2 <--> +1/2 transition is observed in Q-band EPR, which was not amenable to analysis so far. By means of a multi-frequency approach at frequencies beyond Q-band, the relevant zfs parameters were derived from spectral simulations of EPR spectra measured at 94, 285 and 670 GHz. It is shown that parallel to the increase of the D-value its distribution also grows considerably in going from free Co2+/Mn2+ XI to the species complexed with inhibitor or substrate. For XI with bound substrate, D-values in the range of 70-90 mT and a distribution of about 30 mT were found from simulation trials. The large distribution in zfs values is thought to be correlated to the structural disorder induced by the shift of the metal ion of site 2 into a location necessary for the isomerisation reaction. The results are discussed with respect to high-resolution crystal data.

Aldose-Ketose Isomerases↗

Quantitative proton MR spectroscopic imaging of normal human cerebellum and brain stem.

Quantitative, multislice proton MR spectroscopic imaging (MRSI) was used to investigate regional metabolite levels and ratios in the normal adult human posterior fossa. Six normal volunteers (36 +/- 3 years, five male, one female) were scanned on a 1.5 T scanner using multislice MRSI at long echo time (TE 280 msec). The entire cerebellum was covered using three oblique-axial slice locations, which also included the pons, mid-brain, insular cortex, and parieto-occipital lobe. Concentrations of N-acetylaspartate (NAA), choline (Cho), and creatine (Cr) were estimated using the phantom replacement technique. Regional variations of the concentrations were assessed using ANOVA (P < 0.05). High-resolution MRSI data was obtained in all subjects and brain regions examined. Metabolite concentrations (mM) (mean +/- SD) were as follows: cerebellar vermis: 2.3 +/- 0.4, 8.8 +/- 1.7 and 7.6 +/- 1.0 for Cho, Cr, and NAA respectively; cerebellar hemisphere: 2.2 +/- 0.6, 8.9 +/- 2.1, 7.5 +/- 0.8; pons 2.2 +/- 0.5, 4.3 +/- 1.1, 8.3 +/- 0.9; insular cortex, 1.8 +/- 0.5, 7.8 +/- 2, 8.0 +/- 1.1, parieto-occipital gray matter, 1.3 +/- 0.3, 5.7 +/- 1.1, 7.2 +/- 0.9, and occipital white matter, 1.4 +/- 0.3, 5.3 +/- 1.3, 7.5 +/- 0.8. Consistent with previous reports, significantly higher levels of Cr were found in the cerebellum compared to parieto-occipital gray and occipital white matter, and pons (P < 0.0001). NAA was essentially uniformly distributed within the regions chosen for analysis, with the highest level in the pons (P < 0.04). Cho was significantly higher in the cerebellum and pons than parieto-occipital gray and occipital white matter (P < 0.002) and was also higher in the pons than in the insular cortex (P < 0.05). Quantitative multislice MRSI of the posterior fossa is feasible and significant regional differences in metabolite concentrations were found.

Adult↗

Coronary artery imaging at 0.5 T using segmented 3D echo planar imaging.

The application of segmented 3D gradient echo EPI at 0.5 T for coronary artery imaging is described. Experiments were performed using fat suppression, ECG triggering, and a patient-controlled breath-holding scheme. This approach provides a sufficient signal-to-noise ratio for thin contiguous slices in conjunction with a phased array cardiac receive coil. Wide 3D volumes, covering the proximal branches of the coronary tree, were measured with a high spatial resolution. Such data sets can be used for subsequent vessel segmentation. Furthermore, data out of narrow 3D volumes were obtained containing fewer slices angulated in the direction of a selected coronary artery. This provides a good visualization of the selected vessel over several centimeters without the need for segmentation.

Coronary Vessels↗

Analysis of localized quadratic encoding and reconstruction.

Localized quadratic (LQ) encoding is a method of collecting multislice MRI data sets with greatly overlapping excited slices in such a way that the slice overlap can be deconvolved. This results in reconstructed data with resolution equal to the center-to-center slice spacing, regardless of the amount of excited slice overlap. LQ encoding is analyzed using the modulation transfer function of the encoding and reconstruction process. This allows analysis of many aspects of the technique in a well established theoretical framework. Many different characteristics of the method are explored, including excited slice profiles, required RF magnitudes and specific absorption rate, signal to noise ratio, signal dynamic range, reconstruction artifacts, sensitivity to motion, saturation and inflow effects, modulation transfer function shifting, and off-resonance artifacts. It is suggested that this technique is best suited for applications currently using multiple thin-slab three-dimensional encoding.

Absorption↗

High-resolution FMRI at 1.5T using balanced SSFP.

The resolution in conventional BOLD FMRI is considerably lower than can be achieved with other MRI methods, and is insufficient for many important applications. One major difficulty in robustly improving spatial resolution is the poor image quality in BOLD FMRI, which suffers from distortions, blurring, and signal dropout. This work considers the potential for increased resolution with a new FMRI method based on balanced SSFP. This method establishes a blood oxygenation sensitive steady-state (BOSS) signal, in which the frequency sensitivity of balanced SSFP is used to detect the frequency shift of deoxyhemoglobin. BOSS FMRI is highly SNR efficient and does not suffer from image distortions or signal dropout, making this method an excellent candidate for high-resolution FMRI. This study presents the first demonstration of high-resolution BOSS FMRI, using an efficient 3D stack-of-segmented EPI readout and combined acquisition at multiple center frequencies. BOSS FMRI is shown to enable high-resolution FMRI data (1 x 1 x 2 mm(3)) in both visual and motor systems using standard hardware at 1.5 T. Currently, the major limitation of BOSS FMRI is its sensitivity to temporal and spatial field drift.

Brain Mapping↗

Stabilization of creatinase from Pseudomonas putida by random mutagenesis.

Creatinase (creatine amidinohydrolase, EC 3.5.3.3) from Pseudomonas putida is a homodimer of 45 kDa subunit molecular mass, the three-dimensional structure of which is known at 1.9 A resolution. Three point mutants, A109V, V355M, and V182I, as well as one double mutant combining A109V and V355M, and the triple mutant with all three replacements, were compared with wild-type creatinase regarding their physical and enzymological properties. High-resolution crystal data for wild-type creatinase and the first two mutants suggest isomorphism at least for these three proteins (R. Huber, pers. comm.). Physicochemical measurements confirm this prediction, showing that the mutations have no effect either on the quaternary structure and gross conformation or the catalytic properties as compared to wild-type creatinase. The replacement of V182 (at the solvent-exposed end of the first helix of the C-terminal domain) does not cause significant differences in comparison with the wild-type enzyme. The other point mutations stabilize the first step in the biphasic denaturation transition without affecting the second one. In sum, the enhanced stability seems to reflect slight improvements in the local packing without creating new well-defined bonds. The increase in hydrophobicity generated by the introduction of additional methyl groups (A109V, V182I) must be compensated by minor readjustments of the global structure. Secondary or quaternary interactions are not affected. In going from single to double and triple mutants, to a first approximation, the increments of stabilization are additive.

Cloning, Molecular↗

Relationship between protein structure and geometrical constraints.

We evaluate to what extent the structure of proteins can be deduced from incomplete knowledge of disulfide bridges, surface assignments, secondary structure assignments, and additional distance constraints. A cost function taking such constraints into account was used to obtain protein structures using a simple minimization algorithm. For small proteins, the approximate structure could be obtained using one additional distance constraint for each amino acid in the protein. We also studied the effect of using predicted secondary structure and surface assignments. The constraints used in this approach typically may be obtained from low-resolution experimental data. When using a cost function based on distances, half of the resulting structures will be mirrored, because the resulting structure and its mirror image will have the same cost. The secondary structure assignments were therefore divided into chirality constraints and distance constraints. Here we report that the problem of mirrored structures, in some cases, can be solved by using a chirality term in the cost function.

Protein Structure, Secondary↗

Crystallization of 5-aminolaevulinic acid dehydratase from Escherichia coli and Saccharomyces cerevisiae and preliminary X-ray characterization of the crystals.

5-Aminolaevulinic acid dehydratase (ALAD) catalyzes the formation of porphobilinogen from two molecules of 5-aminolaevulinic acid. Both Escherichia coli and Saccharomyces cerevisiae ALADs are homo-octameric enzymes which depend on Zn2+ for catalytic activity and are potently inhibited by lead ions. The E. coli enzyme crystallized in space group I422 (unit cell dimensions a = b = 130.7 A, c = 142.4 A). The best crystals were obtained in the presence of the covalently bound inhibitor laevulinic acid. The yeast enzyme (expressed in E. coli) crystallized in the same space group (I422) but with a smaller unit cell volume (a = b = 103.7 A, c = 167.7 A). High resolution synchrotron data sets were obtained from both E. coli and yeast ALAD crystals by cryocooling to 100 K.

Crystallography, X-Ray↗

Prediction-based fingerprints of protein-protein interactions.

The recognition of protein interaction sites is an important intermediate step toward identification of functionally relevant residues and understanding protein function, facilitating experimental efforts in that regard. Toward that goal, the authors propose a novel representation for the recognition of protein-protein interaction sites that integrates enhanced relative solvent accessibility (RSA) predictions with high resolution structural data. An observation that RSA predictions are biased toward the level of surface exposure consistent with protein complexes led the authors to investigate the difference between the predicted and actual (i.e., observed in an unbound structure) RSA of an amino acid residue as a fingerprint of interaction sites. The authors demonstrate that RSA prediction-based fingerprints of protein interactions significantly improve the discrimination between interacting and noninteracting sites, compared with evolutionary conservation, physicochemical characteristics, structure-derived and other features considered before. On the basis of these observations, the authors developed a new method for the prediction of protein-protein interaction sites, using machine learning approaches to combine the most informative features into the final predictor. For training and validation, the authors used several large sets of protein complexes and derived from them nonredundant representative chains, with interaction sites mapped from multiple complexes. Alternative machine learning techniques are used, including Support Vector Machines and Neural Networks, so as to evaluate the relative effects of the choice of a representation and a specific learning algorithm. The effects of induced fit and uncertainty of the negative (noninteracting) class assignment are also evaluated. Several representative methods from the literature are reimplemented to enable direct comparison of the results. Using rigorous validation protocols, the authors estimated that the new method yields the overall classification accuracy of about 74% and Matthews correlation coefficients of 0.42, as opposed to up to 70% classification accuracy and up to 0.3 Matthews correlation coefficient for methods that do not utilize RSA prediction-based fingerprints. The new method is available at http://sppider.cchmc.org.

Artificial Intelligence↗

Crystallization and preliminary X-ray analysis of nonglycosylated tissue inhibitor of metalloproteinases-1, N30QN78Q TIMP-1.

A nonglycosylated (N30QN78Q) form of the human tissue inhibitor of metalloproteinases, TIMP-1, has been prepared and crystallized in a form suitable for X-ray diffraction analysis. Small single crystals have been grown using sodium tartrate as a precipitant. The crystals are in space group P2(1), with cell dimensions a = 35.28, b = 53.95, c = 48.56, and beta = 96.0 degrees. There is a single molecule of TIMP-1 in the asymmetric unit. The crystals diffract to at least 2.3 A resolution. Complete data have been collected to 2.9 A and a search for heavy-metal derivatives is in progress.

Base Sequence↗