Protein engineering towards biotechnological production of bifunctional polyester beads

Microbial polyester inclusions have previously been demonstrated to be applicable as versatile beads outside the bacterial cell. Engineering of proteins selectively binding to the polyester inclusions was conceived to produce polyester beads simultaneously displaying two protein-based functions suitable for applications in, for example, fluorescence activated cell sorting (FACS). The polyester synthase and the phasin protein were fused to the green fluorescent protein (GFP) and the murine myelin oligodendrocyte glycoprotein (MOG), respectively, or GFP and MOG were fused to the N- and C-terminus, respectively, of only the phasin. In both cases, fusion proteins were found to be attached to isolated polyester inclusions while displaying both functionalities per bead. Functionalities at the bead surface were assessed by ELISA, FACS and fluorescence microscopy. The respective double fusion protein was identified by peptide fingerprinting using MALDI-TOF/MS. Electronic supplementary material  The online version of this article (doi:) contains supplementary material, which is available to authorized users.     

A stochastic model for estimation of mutation rates in multiple-replication proliferation processes

In this paper we propose a stochastic model based on the branching process for estimation and comparison of the mutation rates in proliferation processes of cells or microbes. We assume in this model that cells or microbes (the elements of a population) are reproduced by generations and thus the model is more suitably applicable to situations in which the new elements in a population are produced by older elements from the previous generation rather than by newly created elements from the same current generation. Cells and bacteria proliferate by binary replication, whereas the RNA viruses proliferate by multiple replication. The model is in terms of multiple replications, which includes the special case of binary replication. We propose statistical procedures for estimation and comparison of the mutation rates from data of multiple cultures with divergent culture sizes. The mutation rate is defined as the probability of mutation per replication per genome and thus can be assumed constant in the entire proliferation process. We derive the number of cultures for planning experiments to achieve desired accuracy for estimation or desired statistical power for comparing the mutation rates of two strains of microbes. We establish the efficiency of the proposed method by demonstrating how the estimation of mutation rates would be affected when the culture sizes were assumed similar but actually diverge.      

Ruling out coronary artery disease in primary care: development and validation of a simple prediction rule

Background

Chest pain can be caused by various conditions, with life-threatening cardiac disease being of greatest concern. Prediction scores to rule out coronary artery disease have been developed for use in emergency settings. We developed and validated a simple prediction rule for use in primary care.

Methods

We conducted a cross-sectional diagnostic study in 74 primary care practices in Germany. Primary care physicians recruited all consecutive patients who presented with chest pain (n = 1249) and recorded symptoms and findings for each patient (derivation cohort). An independent expert panel reviewed follow-up data obtained at six weeks and six months on symptoms, investigations, hospital admissions and medications to determine the presence or absence of coronary artery disease. Adjusted odds ratios of relevant variables were used to develop a prediction rule. We calculated measures of diagnostic accuracy for different cut-off values for the prediction scores using data derived from another prospective primary care study (validation cohort).

Results

The prediction rule contained five determinants (age/sex, known vascular disease, patient assumes pain is of cardiac origin, pain is worse during exercise, and pain is not reproducible by palpation), with the score ranging from 0 to 5 points. The area under the curve (receiver operating characteristic curve) was 0.87 (95% confidence interval [CI] 0.83–0.91) for the derivation cohort and 0.90 (95% CI 0.87–0.93) for the validation cohort. The best overall discrimination was with a cut-off value of 3 (positive result 3–5 points; negative result ≤ 2 points), which had a sensitivity of 87.1% (95% CI 79.9%–94.2%) and a specificity of 80.8% (77.6%–83.9%).

Interpretation

The prediction rule for coronary artery disease in primary care proved to be robust in the validation cohort. It can help to rule out coronary artery disease in patients presenting with chest pain in primary care.Chest pain is common. Studies have shown a lifetime prevalence of 20% to 40% in the general population.¹ Its prevalence in primary care ranges from 0.7% to 2.7% depending on inclusion criteria and country,^2–4 with coronary artery disease being the underlying cause in about 12% of primary care patients.^1,5 General practitioners are challenged to identify serious cardiac disease reliably and also protect patients from unnecessary investigations and hospital admissions. Because electrocardiography and the cardiac troponin test are of limited value in primary care,^6,7 history taking and physical examination remain the main diagnostic tools.Most published studies on the diagnostic accuracy of signs and symptoms for acute coronary events have been conducted in high-prevalence settings such as hospital emergency departments.^8–10 Predictive scores have also been developed for use in emergency departments, mainly for the diagnosis of acute coronary syndromes.^11–13 To what degree these apply in primary care is unknown.^14–16A clinical prediction score to rule out coronary artery disease in general practice has been developed.¹⁷ However, it did not perform well when validated externally. The aim of our study was to develop a simple, valid and usable prediction score based on signs and symptoms to help primary care physicians rule out coronary artery disease in patients presenting with chest pain.     

High-throughput screening and selection of yeast cell lines expressing monoclonal antibodies

The methylotrophic yeast Pichia pastoris has recently been engineered to express therapeutic glycoproteins with uniform human N-glycans at high titers. In contrast to the current art where producing therapeutic proteins in mammalian cell lines yields a final product with heterogeneous N-glycans, proteins expressed in glycoengineered P. pastoris can be designed to carry a specific, preselected glycoform. However, significant variability exists in fermentation performance between genotypically similar clones with respect to cell fitness, secreted protein titer, and glycan homogeneity. Here, we describe a novel, multidimensional screening process that combines high and medium throughput tools to identify cell lines producing monoclonal antibodies (mAbs). These cell lines must satisfy multiple selection criteria (high titer, uniform N-glycans and cell robustness) and be compatible with our large-scale production platform process. Using this selection process, we were able to isolate a mAb-expressing strain yielding a titer (after protein A purification) in excess of 1 g/l in 0.5-l bioreactors.     

Shortstop recruits EB1/APC1 and promotes microtubule assembly at the muscle-tendon junction

BACKGROUND: Shot (previously named Kakapo), is a Drosophila Plakin family member containing both Actin binding and microtubule binding domains. In Drosophila, it is required for a wide range of processes, including axon extension, dendrite formation, axonal terminal arborization at the neuromuscular junction, tendon cell development, and adhesion of wing epithelium. RESULTS: To address how Shot exerts its activity at the molecular level, we investigated the molecular interactions of Shot with candidate proteins in mature larval tendon cells. We show that Shot colocalizes with EB1/APC1 and with a compact microtubule array extending between the muscle-tendon junction and the cuticle. Shot forms a protein complex with EB1 via its C-terminal EF-hands and GAS2-containing domains. In tendon cells with reduced Shot activity, EB1/APC1 dissociate from the muscle-tendon junction, and the microtubule array elongates. The resulting tendon cell, although associated with the muscle and the cuticle ends, loses its stress resistance and elongates. CONCLUSIONS: Our results suggest that Shot mediates tendon stress resistance by the organization of a compact microtubule network at the muscle-tendon junction. This is achieved by Shot association with the cytoplasmic faces of the basal hemiadherens junction and with the EB1/APC1 complex.     

In vitro alginate polymerization and the functional role of Alg8 in alginate production by Pseudomonas aeruginosa

An enzymatic in vitro alginate polymerization assay was developed by using 14C-labeled GDP-mannuronic acid as a substrate and subcellular fractions of alginate overproducing Pseudomonas aeruginosa FRD1 as a polymerase source. The highest specific alginate polymerase activity was detected in the envelope fraction, suggesting that cytoplasmic and outer membrane proteins constitute the functional alginate polymerase complex. Accordingly, no alginate polymerase activity was detected using cytoplasmic membrane or outer membrane proteins, respectively. To determine the requirement of Alg8, which has been proposed as catalytic subunit of alginate polymerase, nonpolar isogenic alg8 knockout mutants of alginate-overproducing P. aeruginosa FRD1 and P. aeruginosa PDO300 were constructed, respectively. These mutants were deficient in alginate biosynthesis, and alginate production was restored by introducing only the alg8 gene. Surprisingly, this resulted in significant alginate overproduction of the complemented P. aeruginosa Deltaalg8 mutants compared to nonmutated strains, suggesting that Alg8 is the bottleneck in alginate biosynthesis. (1)H-NMR analysis of alginate isolated from these complemented mutants showed that the degree of acetylation increased from 4.7 to 9.3% and the guluronic acid content was reduced from 38 to 19%. Protein topology prediction indicated that Alg8 is a membrane protein. Fusion protein analysis provided evidence that Alg8 is located in the cytoplasmic membrane with a periplasmic C terminus. Subcellular fractionation suggested that the highest specific PhoA activity of Alg8-PhoA is present in the cytoplasmic membrane. A structural model of Alg8 based on the structure of SpsA from Bacillus subtilis was developed.     

Continuous gluconic acid production by the yeast-like Aureobasidium pullulans in a cascading operation of two bioreactors

The application of a new developed process for the continuous production of gluconic acid using a cascade of two bioreactors in a continuous process is shown reaching the highest concentration of gluconic acid described in the literature for continuous culture fermentation. Very high gluconic acid concentrations of 272-308 g/l have been achieved under continuous cultivation of free-growing cells of Aureobasidium pullulans in the first bioreactor at residence times (RT) between 19.5 and 24 h with formation rates for the generic product between 12.7 and 13.9 g/(l h). Gluconic acid, 350-370 g/l, was continuously reached in the second bioreactor at a total RT of 30.8-37 h with R (j) of 9.2-12 g/(l h). The highest specific gluconic acid production (m (p)) of 3.6 g/(g h) was found in the first bioreactor at the lowest RT of 19.5 h. The highest selectivity of 93.6% was determined in the first bioreactor as well. Complete glucose consumption was obtained at 37 h total residence time in the second bioreactor. Gluconic acid, 433 g/l, was continuously produced in the second bioreactor at a total RT of 37 h.     

Solubilization and characterization of the beta-bungarotoxin-binding protein of chick brain membranes

The previously characterized ( Rehm , H., and Betz, H. (1982) J. Biol. Chem. 257, 10015-10022) neuronal binding protein for the presynaptic neurotoxin beta-bungarotoxin (beta-BuTx) was solubilized from synaptic membrane fractions of chick brain using the nonionic detergent Triton X-100. 125I-beta-BuTx bound to the solubilized protein with a dissociation constant (KD) of 1.9 +/- 0.1 nM. This binding of 125I-beta-BuTx was Ca2+-dependent and pharmacologically specific. From different basic proteins tested, only unlabeled beta-BuTx and its antagonist dendrotoxin inhibited 125I-beta-BuTx binding. Potassium ions were required during solubilization and binding in order to detect 125I-beta-BuTx-binding activity. Sedimentation in sucrose/H2O and sucrose/D2O gradients and gel exclusion chromatography on Sepharose 6B indicated a s20,w of 12.8 +/- 0.6 S and a Stokes radius of 8.6 +/- 0.2 nm for the solubilized beta-BuTx-binding component. From these data, the protein molecular weight of the beta-BuTx binding site was calculated to be 431,000 +/- 45,000.     

Purification and Properties of Primary and Secondary Alcohol Dehydrogenases from Thermoanaerobacter ethanolicus

Thermoanaerobacter ethanolicus (ATCC 31550) has primary and secondary alcohol dehydrogenases. The two enzymes were purified to homogeneity as judged from sodium dodecyl sulfate-polyacrylamide gel electrophoresis and gel filtration. The apparent M_rs of the primary and secondary alcohol dehydrogenases are 184,000 and 172,000, respectively. Both enzymes have high thermostability. They are tetrameric with apparently identical subunits and contain from 3.2 to 5.5 atoms of Zn per subunit. The two dehydrogenases are NADP dependent and reversibly convert ethanol and 1-propanol to the respective aldehydes. The V_m values with ethanol as a substrate are 45.6 μmol/min per mg for the primary alcohol dehydrogenase and 13 μmol/min per mg for the secondary alcohol dehydrogenase at pH 8.9 and 60°C. The primary enzyme oxidizes primary alcohols, including up to heptanol, at rates similar to that of ethanol. It is inactive with secondary alcohols. The secondary enzyme is inactive with 1-pentanol or longer chain alcohols. Its best substrate is 2-propanol, which is oxidized 15 times faster than ethanol. The secondary alcohol dehydrogenase is formed early during the growth cycle. It is stimulated by pyruvate and has a low K_m for acetaldehyde (44.8 mM) in comparison to that of the primary alcohol dehydrogenase (210 mM). The latter enzyme is formed late in the growth cycle. It is postulated that the secondary alcohol dehydrogenase is largely responsible for the formation of ethanol in fermentations of carbohydrates by T. ethanolicus.