Defining the role of complement in experimental pemphigus vulgaris in mice

Parenteral passive transfer of human pemphigus vulgaris IgG (PV IgG) into neonatal mice reproduces the cutaneous disease. We used this model to study the role of complement in the development of acantholysis in three steps. Peptic F(ab')2 fragments were prepared from PV IgG and were injected into seven newborn mice, and all animals developed acantholytic skin blisters without local complement activation, as shown by direct immunofluorescence. These fragments were reduced and alkylated to produce Fab' fragments with equivalent in vitro binding activity. The monovalent fragments were given in an identical fashion to five littermates but failed to produce disease even though they were bound in the epidermis in vivo. Intact PV IgG was injected in 20 genetically C5-deficient neonates (B10-D2-OSN strain) and 20 control neonates (B10-D2-NSN, normal complementemic). Extensive blistering, with a positive Nikolsky sign, was produced in all 40 animals. PV IgG was given to 34 BALB/c neonates that were complement depleted by pretreatment with cobra venom factor (CoF) for 24 hr, and to 38 untreated neonates from the same litters. There was no difference in the disease produced after CoF treatment in animals that received high doses of PV IgG (5 to 15 mg/g/day). In animals receiving 2.5 mg PV IgG/g/day, blister formation was delayed and the final extent of the cutaneous lesions was less in CoF-treated mice (n = 12) than in normal complementemic controls (n = 12, p less than 0.02). These results show that complement activation is not an essential mechanism in PV IgG-induced acantholysis in vivo, but it does have an amplifying effect on the development of cutaneous lesions under certain conditions, and lesions can be induced in vivo by bivalent F(ab')2 fragments of PV IgG, but not by the monovalent Fab' fragments, suggesting that cross-linking of the cell surface antigen is an initiating signal in acantholysis.     

The Brassica napus extA promoter: a novel alternative promoter to CaMV 35S for directing transgene expression to young stem tissues and load bearing regions of transgenic apple trees (Malus pumila Mill.)

The Brassica napus extensin A gene is highly expressed in root tissue of oilseed rape. In an attempt to identify an effective root-specific promoter for biotechnological applications, we have examined the ability of the –940 extA promoter to drive expression of the gusA reporter gene in the vegetative tissues of apple (Malus pumila Mill cv. Greensleeves). Transgenic apple lines were produced by Agrobacterium tumefaciens-mediated transformation and GUS activity was analysed both quantitatively and qualitatively. The extA promoter was active in all tissues of young plants in all 15 clones examined. However Southern blot data suggested that only a proportion of the population contained the entire promoter and that others had suffered deletions of unknown length. This may have contributed to the variation seen in the quantitative and qualitative expression of GUS. Specific GUS activity was highest in the stems where it approached, and in some clones, exceeded that using the constitutive CaMV 35S promoter. Histochemical analysis confirmed that GUS was localised to tissues involved in structural support of the stem. Staining was particularly intense at nodal junctions where high tensile stress is exerted on the tissues. Maturing phloem tissues showed localisation of expression to the phloem parenchyma cells and phloem fibres. Transverse sections of the root revealed staining of primary procambial tissues including the young endodermis but no staining was seen in the cortex. Although the –940 extA promoter is clearly not root-specific in apple, it is likely to have useful biotechnological applications in tree species.     

Monitoring of phosphorus bioavailability in water by an immobilized luminescent cyanobacterial reporter strain

Massive growth of cyanobacteria, known as ‘algal blooms’, has become a major concern for water monitoring. It has been observed that environmental factors like temperature, light, and certain patterns of availability of nutrients such as P, N, Fe influence cyanobacterial proliferation and toxin production. In order to monitor nutrients in aquatic ecosystems, an assay for monitoring phosphorus bioavailability to cyanobacteria was developed. The test consists of an immobilized luminescent reporter strain of Synechococcus PCC 7942, designated APL. The reporter strain harbours the gene coding the reporter protein luciferase from Vibrio harveyi under control of the inducible alkaline phosphatase promoter from Synechococcus PCC 7942, and can be induced under phosphorus limitation. The resultant CyanoSensor detects PO₄³⁻−P in a concentration range of 0.3–8 μM after a sample incubation time of 8 h under continuous illumination (50 μE m⁻² s⁻¹). The sensor also responded to a variety of organic phosphorus sources and was storable for 3 weeks at 4 °C. It could be demonstrated that the CyanoSensor for bioavailability monitoring is an improvement to conventional phosphorus detection methods.     

Multi-factorial analysis of class prediction error: estimating optimal number of biomarkers for various classification rules

Machine learning and statistical model based classifiers have increasingly been used with more complex and high dimensional biological data obtained from high-throughput technologies. Understanding the impact of various factors associated with large and complex microarray datasets on the predictive performance of classifiers is computationally intensive, under investigated, yet vital in determining the optimal number of biomarkers for various classification purposes aimed towards improved detection, diagnosis, and therapeutic monitoring of diseases. We investigate the impact of microarray based data characteristics on the predictive performance for various classification rules using simulation studies. Our investigation using Random Forest, Support Vector Machines, Linear Discriminant Analysis and k-Nearest Neighbour shows that the predictive performance of classifiers is strongly influenced by training set size, biological and technical variability, replication, fold change and correlation between biomarkers. Optimal number of biomarkers for a classification problem should therefore be estimated taking account of the impact of all these factors. A database of average generalization errors is built for various combinations of these factors. The database of generalization errors can be used for estimating the optimal number of biomarkers for given levels of predictive accuracy as a function of these factors. Examples show that curves from actual biological data resemble that of simulated data with corresponding levels of data characteristics. An R package optBiomarker implementing the method is freely available for academic use from the Comprehensive R Archive Network (http://www.cran.r-project.org/web/packages/optBiomarker/).     

A novel membrane stirrer system enables foam-free biosurfactant production

Bioreactors are the operative backbone, for example, for the production of biopharmaceuticals, biomaterials in tissue engineering, and sustainable substitutes for chemicals. Still, the Achilles' heel of bioreactors nowadays is the aeration which is based on intense stirring and gas sparging, yielding inherent drawbacks such as shear stress, foaming, and sterility concerns. We present the synergistic combination of simulations and experiments toward a membrane stirrer for the efficient bubble-free aeration of bioreactors. A digital twin of the bioreactor with an integrated membrane-module stirrer (MemStir) was developed with computational fluid dynamics (CFD) studies addressing the determination of fluid mixing, shear rates, and local oxygen concentration. Usability of the MemStir is shown in a foam-free recombinant production process of biosurfactants (rhamnolipids) from glucose with different strains of Pseudomonas putida KT2440 in a 3-L vessel and benchmarked against a regular aerated process. The MemStir delivered a maximal oxygen transfer rate (OTR_max) of 175 mmol L⁻¹ h⁻¹ in completely foam-free cultivations. With a high space-time yield (STY) of 118 mg_RL L⁻¹ h⁻¹ during a fed-batch fermentation, the effectiveness of the novel MemStir is demonstrated. Simulations show the generic value of the MemStir beyond biosurfactant production, for example, for animal cell cultivation.     

In-vitro Activity of Avermectins against Mycobacterium ulcerans

Mycobacterium ulcerans causes Buruli ulcer (BU), a debilitating infection of subcutaneous tissue. There is a WHO-recommended antibiotic treatment requiring an 8-week course of streptomycin and rifampicin. This regime has revolutionized the treatment of BU but there are problems that include reliance on daily streptomycin injections and side effects such as ototoxicity. Trials of all-oral treatments for BU show promise but additional drug combinations that make BU treatment safer and shorter would be welcome. Following on from reports that avermectins have activity against Mycobacterium tuberculosis, we tested the in-vitro efficacy of ivermectin and moxidectin on M. ulcerans. We observed minimum inhibitory concentrations of 4–8 μg/ml and time-kill assays using wild type and bioluminescent M. ulcerans showed a significant dose-dependent reduction in M. ulcerans viability over 8-weeks. A synergistic killing-effect with rifampicin was also observed. Avermectins are well tolerated, widely available and inexpensive. Based on our in vitro findings we suggest that avermectins should be further evaluated for the treatment of BU.     

Simultaneous quantification of cell motility and protein-membrane-association using active contours

We present a new method for the quantification of dynamic changes in fluorescence intensities at the cell membrane of moving cells. It is based on an active contour method for cell-edge detection, which allows tracking of changes in cell shape and position. Fluorescence intensities at specific cortical subregions can be followed in space and time and correlated with cell motility. The translocation of two GFP tagged proteins (CRAC and GRP1) from the cytosol to the membrane in response to stimulation with the chemoattractant cAMP during chemotaxis of Dictyostelium cells and studies of the spatio-temporal dynamics of this process exemplify the method: We show that the translocation can be correlated with motility parameters and that quantitative differences in the rate of association and dissociation from the membrane can be observed for the two PH domain containing proteins. The analysis of periodic CRAC translocation to the leading edge of a cell responding to natural cAMP waves in a mound demonstrates the power of this approach. It is not only capable of tracking the outline of cells within aggregates in front of a noisy background, but furthermore allows the construction of spatio-temporal polar plots, capturing the dynamics of the protein distribution at the cell membrane within the cells' moving co-ordinate system. Compilation of data by means of normalised polar plots is suggested as a future tool, which promises the so-far impossible practicability of extensive statistical studies and automated comparison of complex spatio-temporal protein distribution patterns.     

A European pathogenic microorganism proteome database: construction and maintenance

A relational database structure based on MS-Access and MySQL to store and manage proteomics data was established. This system may be used to publish two-dimensional electrophoretic proteomics data, and also may be accessed by external users who want to compare their own data with those in the databases. The maintenance of the database is managed centrally. The producers of proteomics data do not need to construct a database themselves. Users can introduce mass spectra into the database, which allows the searching of peptide mass fingerprints against their own protein sequence databases. The first release published in January 2002 contains data from Mycobacterium tuberculosis, Helicobacter pylori, Borrelia garinii, Francisella tularensis, Chlamydia pneumoniae, Mycoplasma pneumoniae, Jurkat T-cells and mouse mammary gland projects (http://www.mpiib-berlin. mpg.de/2D-PAGE/).