Analysis of steric partition behavior of molecules in membranes using statistical physics. Application to gel chromatography and electrophoresis.

The principles of statistical physics are used to formulate general expressions for the steric partition behavior of molecules in both random and ordered membrane structures that may be applied to any shape of the solute and/or the volume-excluding element of the membrane. These expressions fully define partitioning in terms of the volume excluded to point molecules and to finite-sized molecules. The mean effective exclusion volume for a molecule is calculated as a function of a global interaction energy, which varies with position, conformation, and orientation of the molecule. It allows consideration of electrostatic and other nonsteric factors. To test the model, specific partition functions are derived for several simple geometries describing the membrane and solute. Frequently, the derived expressions agree with past analyses; however, a new expression describing partitioning within an random network of fibers is derived. It agrees with past results only in the limit of low exclusion volumes. With greater volume exclusions, past results greatly overestimate the partition function. It is applied to gel electrophoresis and chromatography and survives testing with available experimental data. Unlike past analyses, it predicts nonlinear Ferguson plots for agarose gel electrophoresis. In addition, an analytical expression predicting the minimum radius of a sphere excluded from a random fiber matrix is derived, tested, and found to agree with experimental data.     

Kinetics of a fluidized-bed reactor for ground-water denitrification

A fluidized-bed reactor, with sand as the carrier and ethanol as the carbon and electron source, was investigated for the biological denitrification of ground water. The paper concentrates on the reactor's kinetics, with special emphasis on nitrite as the intermediate product. Intrinsic zero-order kinetic parameters for both nitrate and nitrite were determined by batch and continuous experiments. Values for the maximum specific nitrate and nitrite removal rates of 11 g and 6 g NO _inf3 ^sup– (g volatile suspended solids)^–1 day^–1, respectively, were obtained. These values were used to interpret nitrate and nitrate concentration profiles in an experimental fluidized-bed reactor operating at different conditions of hydraulic loading and retention time.     

Lectin binding to gp60 decreases specific albumin binding and transport in pulmonary artery endothelial monolayers.

The effect of albumin binding to cultured bovine pulmonary artery endothelial cell (BPAEC) monolayers on the transendothelial flux of 125I-labelled bovine serum albumin (BSA) was examined to determine its possible role on albumin transcytosis. The transport of 125I-BSA tracer across BPAEC grown on gelatin- and fibronectin-coated filters (0.8 microns pore diam.) was affected by the presence of unlabelled BSA in the medium in that transendothelial 125I-BSA permeability decreased, reaching a 40% reduction at BSA concentrations equal to or greater than 5 mg/ml. BSA binding to BPAEC monolayers was saturated at concentration of 10 mg/ml with an apparent binding affinity of 6 x 10(-7) M. In contrast, gelatin added to the medium altered neither 125I-BSA binding nor transport. Several lectins were tested for their ability to inhibit 125I-BSA binding and transport. One lectin, Ricinus communis (RCA), reduced 125I-BSA binding by 70% and transport by 40%. Other lectins, Ulex europaeus, Triticum vulgare, and Glycine max decreased neither 125I-BSA binding nor transport. The reduction of 125I-BSA transport by RCA was not observed in the presence of saturating levels of BSA, indicating that RCA influenced only the albumin-dependent component of transport. RCA, but not other lectins, precipitated a 60 kDa plasmalemmal glycoprotein from cell lysates of surface radioiodinated BPAEC monolayers. This 60 kDa glycoprotein appears to be the equivalent of gp60 identified previously as an albumin binding glycoprotein in rat microvascular endothelium. In summary, approximately 40% of albumin transport across BPAEC monolayers is dependent on albumin binding. This component of albumin transport is inhibited by 80% by the binding of RCA to gp60. These results suggest that binding of albumin to gp60 on pulmonary artery endothelial cell membrane is a critical determinant of transendothelial albumin flux involving mechanisms such as plasmalemmal vesicular transcytosis.     

Polymorphism of the migration of double-stranded RNA genome segments of avian reoviruses

A number of field isolates of avian reovirus were characterized by analysis of the migration pattern of their genomic double-stranded RNA (dsRNA) segments upon polyacrylamide gel electrophoresis. Comparison of the various isolates has demonstrated (i) no relationship between serotype and migration of any individual dsRNA segment, (ii) marked polymorphism of migration patterns of all dsRNA segments among isolates of the same serotype as well as among different serotypes, (iii) no correlation between genotype and disease state, (iv) less marked variability in migration pattern from isolates within a restricted geographic locale compared to isolates from distant locales, (v) the presence of a single genotype in local outbreaks of disease, and (vi) the relative invariant migration of several dsRNA segments among the avian reoviruses, one of which (S1) may serve to distinguish the avian from the mammalian reoviruses.     

Liana abundance and diversity increase with rainfall seasonality along a precipitation gradient in Panama

In tropical regions, rainfall gradients often explain the abundance and distribution of plant species. For example, many tree and liana species adapted to seasonal drought are more abundant and diverse in seasonally-dry forests, characterized by long periods of seasonal water deficit. Mean annual precipitation (MAP) is commonly used to explain plant distributions across climate gradients. However, the relationship between MAP and plant distribution is often weak, raising the question of whether other seasonal precipitation patterns better explain plant distributions in seasonally-dry forests. In this study, we examine the relationship between liana abundance and multiple metrics of seasonal and annual rainfall distribution to test the hypothesis that liana density and diversity increase with increasing seasonal drought along a rainfall gradient across the isthmus of Panama. We found that a normalized seasonality index, which combines MAP and the variability of monthly rainfall throughout the year, was a significant predictor of both liana density and species richness, whereas MAP, rainfall seasonality and the mean dry season precipitation (MDP) were far weaker predictors. The strong response of lianas to the normalized seasonality index indicates that, in addition to the total annual amount of rainfall, how rainfall is distributed throughout the year is an important determinant of the hydrological conditions that favor liana proliferation. Our findings imply that changes in annual rainfall and rainfall seasonality will determine the future distribution and abundance of lianas. Models that aim to predict future plant diversity, distribution, and abundance may need to move beyond MAP to a more detailed understanding of rainfall variability at sub-annual timescales.     

Raman-based dynamic feeding strategies using real-time glucose concentration monitoring system during adalimumab producing CHO cell cultivation

The use of Process Analytical Technology tools coupled with chemometrics has been shown great potential for better understanding and control of mammalian cell cultivations through real-time process monitoring. In-line Raman spectroscopy was utilized to determine the glucose concentration of the complex bioreactor culture medium ensuring real-time information for our process control system. This work demonstrates a simple and fast method to achieve a robust partial least squares calibration model under laboratory conditions in an early phase of the development utilizing shake flask and bioreactor cultures. Two types of dynamic feeding strategies were accomplished where the multi-component feed medium additions were controlled manually and automatically based on the Raman monitored glucose concentration. The impact of these dynamic feedings was also investigated and compared to the traditional bolus feeding strategy on cellular metabolism, cell growth, productivity, and binding activity of the antibody product. Both manual and automated dynamic feeding strategies were successfully applied to maintain the glucose concentration within a narrower and lower concentration range. Thus, besides glucose, the glutamate was also limited at low level leading to reduced production of inhibitory metabolites, such as lactate and ammonia. Consequently, these feeding control strategies enabled to provide beneficial cultivation environment for the cells. In both experiments, higher cell growth and prolonged viable cell cultivation were achieved which in turn led to increased antibody product concentration compared to the reference bolus feeding cultivation.     

Structure and Coordination Determination of Peptide-metal Complexes Using 1D and 2D 1H NMR

Copper (I) binding by metallochaperone transport proteins prevents copper oxidation and release of the toxic ions that may participate in harmful redox reactions. The Cu (I) complex of the peptide model of a Cu (I) binding metallochaperone protein, which includes the sequence MTCSGCSRPG (underlined is conserved), was determined in solution under inert conditions by NMR spectroscopy.NMR is a widely accepted technique for the determination of solution structures of proteins and peptides. Due to difficulty in crystallization to provide single crystals suitable for X-ray crystallography, the NMR technique is extremely valuable, especially as it provides information on the solution state rather than the solid state. Herein we describe all steps that are required for full three-dimensional structure determinations by NMR. The protocol includes sample preparation in an NMR tube, 1D and 2D data collection and processing, peak assignment and integration, molecular mechanics calculations, and structure analysis. Importantly, the analysis was first conducted without any preset metal-ligand bonds, to assure a reliable structure determination in an unbiased manner.