Genetic tailoring of N-linked oligosaccharides: the role of glucose residues in glycoprotein processing of Saccharomyces cerevisiae in vivo

In higher eukaryotes a quality control system monitoring the folding state of glycoproteins is located in the ER and is composed of the proteins calnexin, calreticulin, glucosidase II, and UDP-glucose: glycoprotein glucosyltransferase. It is believed that the innermost glucose residue of the N- linked oligosaccharide of a glycoprotein serves as a tag in this control system and therefore performs an important function in the protein folding pathway. To address this function, we constructed Saccharomyces cerevisiae strains which contain nonglucosylated (G0), monoglucosylated (G1), or diglucosylated (G2) glycoproteins in the ER and used these strains to study the role of glucose residues in the ER processing of glycoproteins. These alterations of the oligosaccharide structure did not result in a growth phenotype, but the induction of the unfolded protein response upon treatment with DTT was much higher in G0 and G2 strains as compared to wild-type and G1 strains. Our results provide in vivo evidence that the G1 oligosaccharide is an active oligosaccharide structure in the ER glycoprotein processing pathway of S.cerevisiae. Furthermore, by analyzing N- linked oligosaccharides of the constructed strains we can directly show that no general glycoprotein glucosyltransferase exists in S. cerevisiae.      

Validated predictive modelling of the environmental resistome

Multi-drug-resistant bacteria pose a significant threat to public health. The role of the environment in the overall rise in antibiotic-resistant infections and risk to humans is largely unknown. This study aimed to evaluate drivers of antibiotic-resistance levels across the River Thames catchment, model key biotic, spatial and chemical variables and produce predictive models for future risk assessment. Sediment samples from 13 sites across the River Thames basin were taken at four time points across 2011 and 2012. Samples were analysed for class 1 integron prevalence and enumeration of third-generation cephalosporin-resistant bacteria. Class 1 integron prevalence was validated as a molecular marker of antibiotic resistance; levels of resistance showed significant geospatial and temporal variation. The main explanatory variables of resistance levels at each sample site were the number, proximity, size and type of surrounding wastewater-treatment plants. Model 1 revealed treatment plants accounted for 49.5% of the variance in resistance levels. Other contributing factors were extent of different surrounding land cover types (for example, Neutral Grassland), temporal patterns and prior rainfall; when modelling all variables the resulting model (Model 2) could explain 82.9% of variations in resistance levels in the whole catchment. Chemical analyses correlated with key indicators of treatment plant effluent and a model (Model 3) was generated based on water quality parameters (contaminant and macro- and micro-nutrient levels). Model 2 was beta tested on independent sites and explained over 78% of the variation in integron prevalence showing a significant predictive ability. We believe all models in this study are highly useful tools for informing and prioritising mitigation strategies to reduce the environmental resistome.     

Relationship of aerobic and anaerobic parameters with 400 m front crawl swimming performance

The aims of the present study were to investigate the relationship of aerobic and anaerobic parameters with 400 m performance, and establish which variable better explains long distance performance in swimming. Twenty-two swimmers (19.1±1.5 years, height 173.9±10.0 cm, body mass 71.2±10.2 kg; 76.6±5.3% of 400 m world record) underwent a lactate minimum test to determine lactate minimum speed (LMS) (i.e., aerobic capacity index). Moreover, the swimmers performed a 400 m maximal effort to determine mean speed (S400m), peak oxygen uptake (V.O2PEAK) and total anaerobic contribution (C_ANA). The C_ANA was assumed as the sum of alactic and lactic contributions. Physiological parameters of 400 m were determined using the backward extrapolation technique (V.O2PEAK and alactic contributions of C_ANA) and blood lactate concentration analysis (lactic anaerobic contributions of C_ANA). The Pearson correlation test and backward multiple regression analysis were used to verify the possible correlations between the physiological indices (predictor factors) and S400m (independent variable) (p < 0.05). Values are presented as mean ± standard deviation. Significant correlations were observed between S400m (1.4±0.1 m·s^-1) and LMS (1.3±0.1 m·s^-1; r = 0.80), V.O2PEAK (4.5±3.9 L·min^-1; r = 0.72) and C_ANA (4.7±1.5 L·O₂; r= 0.44). The best model constructed using multiple regression analysis demonstrated that LMS and V.O2PEAK explained 85% of the 400 m performance variance. When backward multiple regression analysis was performed, C_ANA lost significance. Thus, the results demonstrated that both aerobic parameters (capacity and power) can be used to predict 400 m swimming performance.     

Surrogate antigens as targets for proteome-wide binder selection

In the past decade, many initiatives were taken for the development of antibodies for proteome-wide studies, as well as characterisation and validation of clinically relevant disease biomarkers. Phage display offers many advantages compared to antibody generation by immunisation because it is an unlimited resource of affinity reagents without batch-to-batch variation and is also amendable for high throughput in contrast to conventional hybridoma technology. One of the major bottlenecks to proteome-wide binder selection is the limited supply of suitable target antigens representative of the human proteome. Here, we provide proof of principle of using easily accessible, cancer-associated protein epitope signature tags (PrESTs), routinely generated within the Human Protein Atlas project, as surrogate antigens for full-length proteins in phage selections for the retrieval of target-specific binders. These binders were subsequently tested in western blot, immunohistochemistry and protein microarray application to demonstrate their functionality.     

Microarrays based on affinity-tagged single-chain Fv antibodies: sensitive detection of analyte in complex proteomes

Protein-based microarrays are among the novel class of rapidly emerging proteomic technologies that will allow us to efficiently perform global proteome analysis. However, the process of designing adequate protein microarrays is a major inherent problem. In this study, we have evaluated a protein microarray platform based on nonpurified affinity-tagged single-chain (sc) Fv antibody fragments to generate proof-of-principle and to demonstrate the specificity and sensitivity of the array design. To this end, we used our human recombinant scFv antibody library genetically constructed around one framework, the n-CoDeR library containing 2 x 10(10) clones, as a source for our probes. The probes were immobilized via engineered C-terminal affinity tags, his- or myc-tags, to either Ni(2+)-coated slides or anti-tag antibody coated substrates. The results showed that highly functional microarrays were generated and that nonpurified scFvs readily could be applied as probes. Specific and sensitive microarrays were obtained, providing a limit of detection in the pM to fM range, using fluorescence as the mode of detection. Further, the results showed that spotting the analyte on top of the arrayed probes, instead of incubating the array with large sample volumes (333 pL vs. 40 microL), could reduce the amount of analyte required 4000 times, from 1200 attomole to 300 zeptomole. Finally, we showed that a highly complex proteome, such as human sera containing several thousand different proteins, could be directly fluorescently labeled and successfully analyzed without compromising the specificity and sensitivity of the antibody microarrays. This is a prerequisite for the design of high-density antibody arrays applied in high-throughput proteomics.     

From gene expression analysis to tissue microarrays: a rational approach to identify therapeutic and diagnostic targets in lymphoid malignancies

Mantle cell lymphoma (MCL) is an aggressive lymphoid malignancy for which better treatment strategies are needed. To identify potential diagnostic and therapeutic targets, a signature consisting of MCL-associated genes was selected based on a comprehensive gene expression analysis of malignant and normal B cells. The corresponding protein epitope signature tags were identified and used to raise monospecific, polyclonal antibodies, which were subsequently analyzed on paraffin-embedded sections of malignant and normal tissue. In this study, we demonstrate that the initial selection strategy of MCL-associated genes successfully allows identification of protein antigens either uniquely expressed or overexpressed in MCL compared with normal lymphoid tissues. We propose that genome-based, affinity proteomics, using protein epitope signature tag-induced antibodies, is an efficient way to rapidly identify a number of disease-associated protein candidates of both previously known and unknown identities.     

Escherichia coli TolA tolerates multiple amino-acid substitutions as revealed by screening randomized variants for membrane integrity and phage receptor function

Escherichia coli TolA is a cytoplasmic membrane protein required for outer membrane integrity and the translocation of F-specific filamentous (Ff) bacteriophage DNA. Both phage infection and membrane integrity depend on several TolA interactions, e.g. those of the TolA C-terminal domain (TolAIII). Membrane integrity involves interaction with two host proteins and phage translocation requires direct interaction with the N-terminal domain (N1) of Ff phage protein g3p. Although cocrystallization of TolAIII and N1g3p has identified several contact points, it is still uncertain which residues are selectively involved in the different TolA functions. Thus, four different limited substitution libraries of TolA were created, targeting contacts at positions 415-420. These libraries were introduced into the tolA strain K17DE3tolA/F(+) and several variants, containing complementing, multiple amino-acid substitutions, were identified. However, most randomized variants did not complement the tolA strain K17DE3tolA/F(+). The TolA variants that restored sensitivity to phage infection displayed a considerable sequence variation, while the few variants that restored tolerance to detergent were from the same library. A comparison of the generated residue variation and natural variation, suggests that structural dependence overrides contact residue dependence. Thus, library screening can be efficient in identifying TolA variants with different functionally associated characteristics.