Heritability of human hookworm infection in Papua New Guinea

Hookworms infect approximately 740 million humans worldwide and are an important cause of morbidity. The present study examines the role of additive genetic effects in determining the intensity of hookworm infection in humans, and whether these effects vary according to the sex of the host. Parasitological and epidemiological data for a population of 704 subjects in Papua New Guinea were used in variance components analysis. The 'narrow-sense' heritability of hookworm infection was estimated as 0.15+/-0.04 (P<0.001), and remained significant when controlling for shared environmental (household) effects. Allowing the variance components to vary between the sexes of the human host consistently revealed larger additive genetic effects in females than in males, reflected by heritabilities of 0.18 in females and 0.08 in males in a conservative model. Household effects were also higher in females than males, although the overall household effect was not significant. The results indicate that additive genetic effects are an important determinant of the intensity of human hookworm infection in this population. However, despite similar mean and variance of intensity in each sex, the factors responsible for generating variation in intensity differ markedly between males and females.     

Metabolomics methods for the synthetic biology of secondary metabolism

Many microbial secondary metabolites are of high biotechnological value for medicine, agriculture, and the food industry. Bacterial genome mining has revealed numerous novel secondary metabolite biosynthetic gene clusters, which encode the potential to synthesize a large diversity of compounds that have never been observed before. The stimulation or "awakening" of this cryptic microbial secondary metabolism has naturally attracted the attention of synthetic microbiologists, who exploit recent advances in DNA sequencing and synthesis to achieve unprecedented control over metabolic pathways. One of the indispensable tools in the synthetic biology toolbox is metabolomics, the global quantification of small biomolecules. This review illustrates the pivotal role of metabolomics for the synthetic microbiology of secondary metabolism, including its crucial role in novel compound discovery in microbes, the examination of side products of engineered metabolic pathways, as well as the identification of major bottlenecks for the overproduction of compounds of interest, especially in combination with metabolic modeling. We conclude by highlighting remaining challenges and recent technological advances that will drive metabolomics towards fulfilling its potential as a cornerstone technology of synthetic microbiology.     

Secretory expression in Escherichia coli and Bacillus subtilis of human interferon alpha genes directed by staphylokinase signals

Summary A DNA segment covering the signal sequence coding region, the ribosome binding site, and the promoter of the staphylokinase (sak) 42D gene (Behnke and Gerlach 1987) was cloned into pUC19 to form a portable expression-secretion unit (ESU). Fusion of human interferon α₁ (hIFNα₁) and hybrid hIFNα_1/2 genes to thissak ESU resulted in secretory expression of the two gene products in bothEscherichia coli andBacillus subtilis. While most of the IFNα was exported to the periplasmic space ofE. coli, about 99% was secreted to the culture medium by recombinantB. subtilis strains. The total yield inE. coli was 1.2×10⁵ IU/ml. This level of expression and export led to instability of the recombinant strains that was spontaneously relieved in vivo by inactivation of thesak ESU through insertion of an IS1 element. No such instability was observed withB. subtilis although expression and secretion levels reached even 3×10⁶ IU/ml. Proteolytic degradation of IFNα by extracellular proteases was avoided by a combination of constitutive expression and secretion during the logarithmic growth phase and the use of exoprotease-reduced host strains. The IFNα₁ protein purified fromB. subtilis culture supernatant was correctly processed, carried the expected 11 amino acid N-terminal elongation that resulted from DNA manipulations and proved to be homogenous in Western blotting experiments. The same recombinant plasmid that directed efficient secretion of hIFNα₁ inB. subtilis gave poor yields when introduced intoStreptococcus sanguis.     

Location of the epitope for the alpha-tubulin monoclonal antibody TU-O1

A cyanogen bromide peptide of pig brain alpha-tubulin with high reactivity to the monoclonal antibody TU-O1 has been isolated and identified. It corresponds to positions 37-154 of the alpha-tubulin sequence. A tryptic peptide within this region corresponding to positions 65-79 was also immunoreactive. Its relatively low reactivity, however, indicates that one or more important determinants are missing.     

A genetically encodable microtag for chemo-enzymatic derivatization and purification of recombinant proteins

Efficient separation of recombinant polypeptides from proteins of the expression host and their subsequent derivatisation with functional chemical groups is essential for the success of many biological applications. Numerous tag systems have been developed to facilitate the purification procedure but only limited progress has been made in development of generic methods for targeted modification of proteins with functional groups. In this work, we present a novel 6 amino acid long C-terminal protein tag that can be selectively modified with functionalized derivatives of farnesyl isoprenoids by protein farnesyltransferase. The reaction could be performed in complex protein mixtures without detectable unspecific labeling. We demonstrate that this modification can be used to purify the target protein by over 800-fold in a single purification step using phase partitioning. Moreover, we show that the fluorescent group could be used to monitor the interaction of the derivatized proteins with other polypeptides.     

Current challenges in quantitative modeling of epidermal growth factor signaling

Over the last decade, epidermal growth factor (EGF) signaling has been used repeatedly as a test-bed for pioneering computational systems biology. Recent breakthroughs in our molecular understanding of EGF signaling pose new challenges for mathematical modeling strategies. Three key areas emerge as particularly relevant: the pervasive importance of compartmentalization and endosomal trafficking; the complexity of signalosome complexes; and the regulatory influence of diffusion and spatiality. Each one of them demands a drastic change in current computational approaches. We discuss recent developments in the field that address these emerging aspects in a new generation of more realistic - and potential more useful - models of EGF signaling.     

The latent process decomposition of cDNA microarray data sets

We present a new computational technique (a software implementation, data sets, and supplementary information are available at http://www.enm.bris.ac.uk/lpd/) which enables the probabilistic analysis of cDNA microarray data and we demonstrate its effectiveness in identifying features of biomedical importance. A hierarchical Bayesian model, called Latent Process Decomposition (LPD), is introduced in which each sample in the data set is represented as a combinatorial mixture over a finite set of latent processes, which are expected to correspond to biological processes. Parameters in the model are estimated using efficient variational methods. This type of probabilistic model is most appropriate for the interpretation of measurement data generated by cDNA microarray technology. For determining informative substructure in such data sets, the proposed model has several important advantages over the standard use of dendrograms. First, the ability to objectively assess the optimal number of sample clusters. Second, the ability to represent samples and gene expression levels using a common set of latent variables (dendrograms cluster samples and gene expression values separately which amounts to two distinct reduced space representations). Third, in constrast to standard cluster models, observations are not assigned to a single cluster and, thus, for example, gene expression levels are modeled via combinations of the latent processes identified by the algorithm. We show this new method compares favorably with alternative cluster analysis methods. To illustrate its potential, we apply the proposed technique to several microarray data sets for cancer. For these data sets it successfully decomposes the data into known subtypes and indicates possible further taxonomic subdivision in addition to highlighting, in a wholly unsupervised manner, the importance of certain genes which are known to be medically significant. To illustrate its wider applicability, we also illustrate its performance on a microarray data set for yeast.     

Carboxy-terminal regions on the surface of tubulin and microtubules. Epitope locations of YOL1/34, DM1A and DM1B

Tryptic and cyanogen bromide peptides of pig brain alpha- and beta-tubulin reacting with monoclonal antibodies YOL1/34, DM1A and DM1B have been isolated and identified. They all correspond to parts of the C-terminal regions of either alpha- or beta-tubulin, and those peptides reacting with a given antibody have overlapping sequences. In the case of YOL1/34, its relatively high reactivity with small peptides suggests that many of the determinants for this antibody are within the overlapping region of these peptides comprising only nine amino acids in positions alpha 414 to 422. The smallest common region of peptides reacting with the other alpha-tubulin antibody DM1A corresponds to positions alpha 426 to 450, whereby amino acids within the positions 426 and 430 appear to be particularly important for reactivity. Since the last C-terminal residues of alpha-tubulin are also accessible to antibodies and enzymes, it seems that an extensive part (35 to 40 residues) of this very acidic C-terminal domain is exposed on the surface of native tubulin dimers. In microtubules, however, the amino-terminal end of this region appears to be less accessible, as YOL1/34 reacts poorly, if at all, with intact microtubules. All of the peptides reacting with beta-tubulin monoclonal antibody DM1B were derived from the acidic C-terminal domain and they overlapped in positions beta 416 to 430. This indicates that beta-tubulin is also positioned with at least part of its acidic C-terminal domain on the surface of microtubules, since DM1B reacts with unfixed microtubules after microinjection.