Solvent focusing for rapid and sensitive quantification of total lipids on Chromarods

A method for the measurement of total lipid weight in biological and geological lipid samples using the latroscan TH-10 analyzer is described. The method involves the application of small (5 μl) volumes to Chromarods, the focusing of the sample at one point by partial development in chloroform-methanol (1:1) or methanol, and the quantification by flame ionization detection. The small response variation between different sample types did not affect the linearity of the response. The method exhibited a reproducibility of ± 10% of the mean or better for samples ranging from 0.5 to 32 μg. The method, at least as sensitive and precise as microgravimetric procedures for total lipid determinations, allows total lipid measurement of 10 samples in 30 min.     

A device for the rapid measurement of molecular model co-ordinates for X-ray crystallography

A device for the rapid and accurate measurement of model molecular co-ordinates, to be used in conjunction with a Richards optical comparator, is described. The device may be operated in either a manual or automatic mode. The manual mode allows an operator to find the co-ordinates of a desired atom by optical superposition of the transmitted image of a small marker light upon the reflected image of the atom to be measured. The automatic mode allows the operator to position the marker light automatically by entering preselected co-ordinates from an electronic console. This mode of operation facilitates the rapid construction and comparison of structures the atomic co-ordinates of which are already known. The device utilizes pulsed stepping motors to position the marker light and incorporates modularized solid-state circuitry throughout. Several applications of the device are described.     

Sampling techniques and comparative extraction procedures for quantitative determination of intra- and extracellular metabolites in filamentous fungi

Two methods for rapid sampling and three procedures for extraction of metabolites from the filamentous fungus Monascus ruber were compared. It is shown that arrest of metabolism by either dropping the mycelial cultures in liquid nitrogen or by spraying them on a 60% solution of methanol kept at −40°C followed by rapid centrifugation at −10°C were equally effective. Metabolites were extracted from mycelia using different procedures including acid and alkaline treatments, permeabilization by cold chloroform and extraction by boiling buffered ethanol, to demonstrate that the latter method gave the best results both in terms of recovery and stability of metabolites. In addition, this method is very simple to handle and allows the use of very low amounts (i.e. 10–20 mg dry mass) of cellular material since the removal of ethanol by evaporation after extraction results in a concentration step of metabolites.     

Q-band electron paramagnetic resonance dosimetry in tooth enamel: biopsy procedure and determination of dose detection limit

High-frequency Q-band (37 GHz) electron paramagnetic resonance (EPR) dosimetry allows to perform fast (i.e., measurement time <15 min) dose measurements using samples obtained from tooth enamel mini-biopsy procedures. We developed and tested a new procedure for taking tooth enamel biopsy for such dose measurements. Recent experience with EPR dose measurements in Q-band using mini-probes of tooth enamel has demonstrated that a small amount of tooth enamel (2–10 mg) can be quickly obtained from victims of a radiation accident. Accurate dose assessments can further be carried out in a very short time to provide important information for medical treatment. Here, the Q-band EPR dose detection limit for 5 and 10 mg samples is estimated to be 367 and 248 mGy, respectively. These values are comparable to the critical parameters determined for conventional X-band EPR in tooth enamel.     

Picosecond timescale rigid-helix and side-chain motions in deoxymyoglobin

The contribution of rigidbody motions to the atomic trajectories in a 100 ps molecular dynamics simulation of deoxymyoglobin is examined. Two typesof rigid-body motions are considered: one in which the helices are rigid units and one in which the side-chains are rigid units. Using a quaternionbased algorithm, fits of the rigid reference structures are made to each time frame of the simulation to derive trajectories of the rigid-body motions. The fitted trajectories are analysed in terms of atomic position fluctuations, mean-square displacements as a function of time, velocity autocorrelation functions and densities of states. The results are compared with the corresponding quantities calculated from the full trajectory. The relative contribution of the rigid helix motions to the helix atom dynamics depends on which quantity is examined and on which subset of atoms is chosen: rigid-helix motions contribute 86% of the rms helix backbone atomic position fluctuations, but 30% of the helix,: atom (backbone and side-chain) mean square displacements and only 1.1% of total kinetic energy. Only very low-frequency motions contribute to the rigid-helix dynamics; the rigid-body analysis allows characteristic rigid-helix vibrations to be identified and described. Treating the side-chains as rigid bodies is foundto be an excellent approximation to both their diffusive and vibrationalmean-square displacements: 96% of side-chain atom mean-square displacements originate from rigid side-Chain motions. However, the errors in theside-chain atomic positional fits are not always small. An analysis is madeof factors contributing to the positional error for different types of side-chain. © Wiley-Liss, Inc.     

Microscale purification of proteins by line immunoelectrophoresis: Application of the technique in protein biogenesis studies

A small-scale version of line immunoelectrophoresis in combination with immunoprecipitate excision is describeb as a rapid convenient technique to purify proteins on a micro scale in biogenesis studies. In the purification of pig small intestinal microvillar enzymes the method was found to be capable of a quantitative purification and to result in a higher state of purity than an isolation procedure using protein A-Sepharose. Since the method furthermore allows a simultaneous purification of several different protein antigens from the sample, it may be of interest as an alternative method to other procedures in the purification of proteins on a micro scale.     

A microtitre plate-based assay for the screening of β-lactams

A.R. QUESADA, A. CAÑEDO, M.A. MORENO AND J.L. FERNÁNDEZ-PUENTES. 1996. A simple, rapid, sensitive and automatizable method for the detection and quantification of bacterial cell wall inhibitors has been developed. The procedure is characterized by the use of a micro-organism hypersensitive to β-lactam antibiotics that contains an inducible cytosolic β-galactosidase; this enzyme is released when the micro-organism cell wall is disrupted by the antibiotic action, and then measured by the use of a chromogenic substrate. The present method allows the detection of β-lactam traces in other non-β-lactam antibiotics, and has been successfully applied in the detection of small amounts of β-lactams in biological fluids such as milk and Actinomycetes fermentation broths. The easy automatization of this method makes it specially suitable for the screening of new antibiotics of natural origin.     

Application of statistical potentials to protein structure refinement from low resolution ab initio models

Recently ab initio protein structure prediction methods have advanced sufficiently so that they often assemble the correct low resolution structure of the protein. To enhance the speed of conformational search, many ab initio prediction programs adopt a reduced protein representation. However, for drug design purposes, better quality structures are probably needed. To achieve this refinement, it is natural to use a more detailed heavy atom representation. Here, as opposed to costly implicit or explicit solvent molecular dynamics simulations, knowledge-based heavy atom pair potentials were employed. By way of illustration, we tried to improve the quality of the predicted structures obtained from the ab initio prediction program TOUCHSTONE by three methods: local constraint refinement, reduced predicted tertiary contact refinement, and statistical pair potential guided molecular dynamics. Sixty-seven predicted structures from 30 small proteins (less than 150 residues in length) representing different structural classes (alpha, beta, alpha;/beta) were examined. In 33 cases, the root mean square deviation (RMSD) from native structures improved by more than 0.3 A; in 19 cases, the improvement was more than 0.5 A, and sometimes as large as 1 A. In only seven (four) cases did the refinement procedure increase the RMSD by more than 0.3 (0.5) A. For the remaining structures, the refinement procedures changed the structures by less than 0.3 A. While modest, the performance of the current refinement methods is better than the published refinement results obtained using standard molecular dynamics.     

Prediction of protein-protein interactions based on surface patch comparison

A method to predict if two proteins interact, based on their three-dimensional structures, is presented. It consists of five steps: (i) the surface of each protein, represented by the solvent accessible atoms, is divided into small patches; (ii) the shape of each patch is described by the atom distributions along its principal axes; (iii) the shape complementarity between two patches is estimated by comparing, through contingency table analysis, their atom distributions along their principal axes; (iv) given protein A, with nA surface patches, and protein B, with nB surface patches, nA x nB shape complementarity values are obtained; and (v) the distribution of the latter allows one to discriminate pairs of interacting and of noninteracting proteins. Only a few seconds are necessary to predict if two proteins interact, with accuracy close to 80%, sensitivity over 70% and specificity close to 50%.     

Applications of MALDI-TOF mass spectrometry in clinical diagnostic microbiology

Until recently, microbial identification in clinical diagnostic laboratories has mainly relied on conventional phenotypic and gene sequencing identification techniques. The development of matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS) devices has revolutionized the routine identification of microorganisms in clinical microbiology laboratories by introducing an easy, rapid, high throughput, low-cost, and efficient identification technique. This technology has been adapted to the constraint of clinical diagnostic laboratories and has the potential to replace and/or complement conventional identification techniques for both bacterial and fungal strains. Using standardized procedures, the resolution of MALDI-TOF MS allows accurate identification at the species level of most Gram-positive and Gram-negative bacterial strains with the exception of a few difficult strains that require more attention and further development of the method. Similarly, the routine identification by MALDI-TOF MS of yeast isolates is reliable and much quicker than conventional techniques. Recent studies have shown that MALDI-TOF MS has also the potential to accurately identify filamentous fungi and dermatophytes, providing that specific standardized procedures are established for these microorganisms. Moreover, MALDI-TOF MS has been used successfully for microbial typing and identification at the subspecies level, demonstrating that this technology is a potential efficient tool for epidemiological studies and for taxonomical classification.     

Processing of Primary Brain Tumor Tissue for Stem Cell Assays and Flow Sorting

Brain tumors are typically comprised of morphologically diverse cells that express a variety of neural lineage markers. Only a relatively small fraction of cells in the tumor with stem cell properties, termed brain tumor initiating cells (BTICs), possess an ability to differentiate along multiple lineages, self-renew, and initiate tumors in vivo. We applied culture conditions originally used for normal neural stem cells (NSCs) to a variety of human brain tumors and found that this culture method specifically selects for stem-like populations. Serum-free medium (NSC) allows for the maintenance of an undifferentiated stem cell state, and the addition of bFGF and EGF allows for the proliferation of multi-potent, self-renewing, and expandable tumorspheres.To further characterize each tumor''s BTIC population, we evaluate cell surface markers by flow cytometry. We may also sort populations of interest for more specific characterization. Self-renewal assays are performed on single BTICs sorted into 96 well plates; the formation of tumorspheres following incubation at 37 °C indicates the presence of a stem or progenitor cell. Multiple cell numbers of a particular population can also be sorted in different wells for limiting dilution analysis, to analyze self-renewal capacity. We can also study differential gene expression within a particular cell population by using single cell RT-PCR.The following protocols describe our procedures for the dissociation and culturing of primary human samples to enrich for BTIC populations, as well as the dissociation of tumorspheres. Also included are protocols for staining for flow cytometry analysis or sorting, self-renewal assays, and single cell RT-PCR.     

The Effect of End Constraints on Protein Loop Kinematics

Despite the prevalent involvement of loops in function little is known about how the constraining of end groups influences their kinematics. Using a linear inverse-kinematics approach and assuming fixed bond lengths, bond angles, and peptide bond torsions, as well as ignoring molecular interactions to assess the effect of the end-constraint only, it is shown that the constraint creates a closed surface in torsion angle space. For pentapeptides, the constraint gives rise to inaccessible regions in a Ramachandran plot. This complex and tightly curved surface produces interesting effects that may play a functional role. For example, a small change in one torsion angle can radically change the behavior of the whole loop. The constraint also produces long-range correlations, and structures exist where the correlation coefficient is 1.0 or −1.0 between rotations about bonds separated by >30 Å. Another application allows some torsion angles to be targeted to specified values while others are constrained. When this application was used on key torsions in lactate dehydrogenase, it was found that the functional loop first folds forward and then moves sideways. For horse liver alcohol dehydrogenase, it was confirmed that the functional loop's Pro-Pro motif creates a rigid arm in an NAD-activated switch for domain closure.     

Theory and simulation of the time-dependent rate coefficients of diffusion-influenced reactions.

A general formalism is developed for calculating the time-dependent rate coefficient k(t) of an irreversible diffusion-influenced reaction. This formalism allows one to treat most factors that affect k(t), including rotational Brownian motion and conformational gating of reactant molecules and orientation constraint for product formation. At long times k(t) is shown to have the asymptotic expansion k(infinity)[1 + k(infinity) (pie Dt)-1/2 /4 pie D + ...], where D is the relative translational diffusion constant. An approximate analytical method for calculating k(t) is presented. This is based on the approximation that the probability density of the reactant pair in the reactive region keeps the equilibrium distribution but with a decreasing amplitude. The rate coefficient then is determined by the Green function in the absence of chemical reaction. Within the framework of this approximation, two general relations are obtained. The first relation allows the rate coefficient for an arbitrary amplitude of the reactivity to be found if the rate coefficient for one amplitude of the reactivity is known. The second relation allows the rate coefficient in the presence of conformational gating to be found from that in the absence of conformational gating. The ratio k(t)/k(0) is shown to be the survival probability of the reactant pair at time t starting from an initial distribution that is localized in the reactive region. This relation forms the basis of the calculation of k(t) through Brownian dynamics simulations. Two simulation procedures involving the propagation of nonreactive trajectories initiated only from the reactive region are described and illustrated on a model system. Both analytical and simulation results demonstrate the accuracy of the equilibrium-distribution approximation method.     

The preparation of high specific activity [3H]chloramphenicol base and chloramphenicol labeled in the propanediol side chain

Methods are described for the synthesis of [³H]chloramphenicol and derivatives labeled on carbon 1 of the propanediol side chain, with a specific activity of about 2 mCi/μmol. The labeling step involves the reduction of the I-oxo derivative of N-acetyl chloramphenicol base by KB³H₄ to produce a mixture of the d (?) threo- and d (?) erythro-diastereoisomers, since carbon 1 is an asymmetric carbon atom. The two isomers were separated by thin-layer chromatography after acetylation of the two free hydroxyls. After hydrolysis of the three acetyl groups, the biologically active d (?) threo-[1 ? ³H]chloramphenicol base was converted to chloramphenicol. Modification of the above procedures allows the rapid and simple preparation of the mixed d (?) threo- and d (?) erythro-isomers of [1 ? ³H]chloramphenicol. This mixture can be used where the presence of the inactive d (?) erythro-isomer of chloramphenicol is not important. The modified procedure also allows the preparation of the mixed isomers of [1 ? ³H]chloramphenicol base and of chloramphenicol analogs. Attempts to prepare a 3-aldehyde derivative of chloramphenicol were not successful. If this could be done, reduction of this derivative with KB³H₄ would produce the correct isomer of chloramphenicol since carbon atom 3 on the propanediol side chain is not an asymmetric carbon atom.     

DFT study of nano zinc/copper voltaic cells

To facilitate the development of new materials for use in batteries, it is necessary to develop ab initio full-electron computational techniques for modeling potential new battery materials. Here, we tested density functional theory procedures that are accurate enough to obtain the energetics of a zinc/copper voltaic cell. We found the magnitude of the zero-point energy correction to be 0.01–0.2 kcal/mol per atom or molecule and the magnitude of the dispersion correction to be 0.1–0.6 kcal/mol per atom or molecule for Zn _n , (H₂O) _n , \( \mathrm{Zn}{\left({\mathrm{H}}_2\mathrm{O}\right)}_n^{2+} \), \( \mathrm{Cu}{\left({\mathrm{H}}_2\mathrm{O}\right)}_n^{2+} \), and Cu _n . Counterpoise correction significantly affected the values of ?\( {E}_n^{\mathrm{abs}} \), ?\( {E}_n^{\mathrm{coh}} \), and ?E^solv by 1.0–3.1 kcal/mol per atom or molecule at the B3PW91/6-31G(d) level of theory, but by only 0.04–0.4 kcal/mol per atom or molecule at the B3PW91/cc-pVTZ level of theory. The application of B3PW91/6-31G(d) yielded results that differed from macroscopic experimental values by 0.1–7.1 kcal/mol per atom or molecule, whereas applying B3PW91/cc-pVTZ produced results that differed from macroscopic experimental values by 0.1–4.8 kcal/mol per atom or molecule, with the smallest differences occurring for reactions with a small macroscopic experimental ?E and the largest differences occurring for reactions with a large macroscopic experimental ?E, implying size consistency.     

A new method for the analysis of amide-linked hydroxy fatty acids in lipid-As from gram-negative bacteria.

Lipid-A represents the ubiquitous, covalently bound hydrophobic component of bacterial lipopolysaccharides (endotoxins). Lipid-As isolated and characterized from rhizobial species have large variations in their backbone sugars, as well as in their hydroxy fatty acid substituents. The sugar backbones consist of either glucosamine and galacturonic acid or glucosamine and 2,3-diaminoglucose. The published procedures for characterizing amide-linked fatty acids do not release all these fatty acids, hence a new method was developed to characterize the amide-linked hydroxy fatty acids. This method involves a mild methanolysis procedure to release glucosamine methyl glycosides which still contain the amide-bound hydroxy fatty acids. The products were analysed by fast atom bombardment mass spectrometry (FAB-MS) and, after trimethylsilylation, by electron impact (E.I.) and chemical ionization (C.I.) gas chromatography-mass spectrometry (GC-MS). The procedure was applied to lipid-A preparations from several gram-negative bacteria. This method allows the unequivocal identification of amide-linked hydroxy fatty acids and also allows determination of the microheterogeneity of the N-acyl substituents in lipid-As from gram-negative bacteria.     

IMPALA: A simple restraint field to simulate the biological membrane in molecular structure studies

The lipid bilayer is crucial for the folding of integral membrane proteins. This article presents an empirical method to account for water–lipid interfaces in the insertion of molecules interacting with bilayers. The interactions between the molecule and the bilayer are described by restraint functions designed to mimic the membrane effect. These functions are calculated for each atom and are proportional to the accessible surface of the latter. The membrane is described as a continuous medium whose properties are varying along the axis perpendicular to the bilayer plane. The insertion is analyzed by a Monte Carlo procedure applied to the restraint functions. The method was successfully applied to small α peptides of known configurations. It provides insights of the behaviors of the peptide dynamics that cannot be obtained with statistical approaches (e.g., hydropathy analysis). Proteins 30:357–371, 1998. © 1998 Wiley-Liss, Inc.     

CASANOVA: Permutation inference in factorial survival designs

We propose inference procedures for general factorial designs with time-to-event endpoints. Similar to additive Aalen models, null hypotheses are formulated in terms of cumulative hazards. Deviations are measured in terms of quadratic forms in Nelson–Aalen-type integrals. Different from existing approaches, this allows to work without restrictive model assumptions as proportional hazards. In particular, crossing survival or hazard curves can be detected without a significant loss of power. For a distribution-free application of the method, a permutation strategy is suggested. The resulting procedures' asymptotic validity is proven and small sample performances are analyzed in extensive simulations. The analysis of a data set on asthma illustrates the applicability.     

Detecting Site-Specific Biochemical Constraints Through Substitution Mapping

The neutral theory of molecular evolution states that most mutations are deleterious or neutral. It results that the evolutionary rate of a given position in an alignment is a function of the level of constraint acting on this position. Inferring evolutionary rates from a set of aligned sequences is hence a powerful method to detect functionally and/or structurally important positions in a protein. Some positions, however, may be constrained while having a high substitution rate, providing these substitutions do not affect the biochemical property under constraint. Here, I introduce a new evolutionary rate measure accounting for the evolution of specific biochemical properties (e.g., volume, polarity, and charge). I then present a new statistical method based on the comparison of two rate measures: a site is said to be constrained for property X if it shows an unexpectedly high conservation of X knowing its total evolutionary rate. Compared to single-rate methods, the two-rate method offers several advantages: it (i) allows assessment of the significance of the constraint, (ii) provides information on the type of constraint acting on each position, and (iii) detects positions that are not proposed by previous methods. I apply this method to a 200-sequence data set of triosephosphate isomerase and report significant cases of positions constrained for polarity, volume, or charge. The three-dimensional localization of these positions shows that they are of potential interest to the molecular evolutionist and to the biochemist.