Synthetic biology: challenges ahead

This expanding scientific discipline is proving extremely popularand is attracting engineering and system design experts to thefield of Biology. As Bioinformatics and Computational Biology will be essentialcomponents of new technical and scientific developments, itis vital to follow the discussion generated by the recent ESFExploratory Workshop (October 13–16, 2005, Constructingand de-constructing Life, Magalia, Spain) and the 2005 reportof the NEST High-Level Expert Group on Synthetic Biology: ApplyingEngineering to Biology http://www.eurosfaire.prd.fr/nest/documents/pdf/NEST_syntheticbiology_b5_eur21796_en.pdf) Synthetic Biology stands at the meeting-point of two cultures.The first, represented by those interested in ‘deconstructing     

Neospora caninum infections in bovine foetuses and dairy cows with abortions in Argentina

Antibodies to Neospora caninum were measured in bovine foetuses, dairy cows and beef cows in Argentina using the IFAT, the N. caninum agglutination test, and the recombinant NCDG1 and NCDG2 ELISA. Serum antibodies (IFAT titre 1:80) were found in 20 of 82 (24.4%) dairy cow foetuses and one of 22 (4.5%) beef cow foetuses. Microscopic lesions suggestive of neosporosis were seen in brains of seven of eight foetuses with IFAT titres of 1:80. Antibodies (IFAT) were found in 122 of 189 (64.5%) dairy cows that aborted. Serum antibody titres (IFAT) of 189 dairy cows that aborted were: < 1:25 (67 cows), 1:25 (four cows), 1:50 (16 cows), 1:200 (seven cows), 1:> or = 800 (95 cows). Of the 87 sera with IFAT titres of < or = 1:50, 57 had no antibodies in 1:40 dilution and 30 had titres of 1:40 in the N. caninum agglutination test. Thus, sera from at least 56 dairy cows which had aborted were seronegative both in the N. caninum agglutination test and the IFAT. The distribution of positive and negative sera was similar when measured by ELISA, except that, depending on cut-off titre, the ELISA indicated a greater number of seropositive cows that were negative by the IFAT and N. caninum agglutination test. These results suggest that transplacental transmission of N. caninum in dairy cows in Argentina is frequent.     

Engineering of a stable whole-cell biocatalyst capable of (S)-styrene oxide formation for continuous two-liquid-phase applications

Recombinant strains of Pseudomonas putida KT2440 carrying genetic expression cassettes with xylene oxygenase- and styrene monooxygenase-encoding genes on their chromosomes could be induced in shaking-flask experiments to specific activities that rivaled those of multicopy-plasmid-based Escherichia coli recombinants. Such strains maintained the introduced styrene oxidation activity in continuous two-liquid-phase cultures for at least 100 generations, although at a lower level than in the shaking-flask experiments. The data suggest that placement of target genes on the chromosome might be a suitable route for the construction of segregationally stable and highly active whole-cell biocatalysts.     

Enhanced bioaccumulation of heavy metal ions by bacterial cells due to surface display of short metal binding peptides

Metal binding peptides of sequences Gly-His-His-Pro-His-Gly (named HP) and Gly-Cys-Gly-Cys-Pro-Cys-Gly-Cys-Gly (named CP) were genetically engineered into LamB protein and expressed in Escherichia coli. The Cd2+-to-HP and Cd2+-to-CP stoichiometries of peptides were 1:1 and 3:1, respectively. Hybrid LamB proteins were found to be properly folded in the outer membrane of E. coli. Isolated cell envelopes of E. coli bearing newly added metal binding peptides showed an up to 1.8-fold increase in Cd2+ binding capacity. The bioaccumulation of Cd2+, Cu2+, and Zn2+ by E. coli was evaluated. Surface display of CP multiplied the ability of E. coli to bind Cd2+ from growth medium fourfold. Display of HP peptide did not contribute to an increase in the accumulation of Cu2+ and Zn2+. However, Cu2+ ceased contribution of HP for Cd2+ accumulation, probably due to the strong binding of Cu2+ to HP. Thus, considering the cooperation of cell structures with inserted peptides, the relative affinities of metal binding peptide and, for example, the cell wall to metal ion should be taken into account in the rational design of peptide sequences possessing specificity for a particular metal.     

A multifunctional network of basic residues confers unique properties to protein kinase CK2

Protein kinase CK2 is characterized by a number of features, including substrate specificity, inhibition by polyanionic compounds and intrasteric down-regulation by its -subunit, which denote a special aptitude to interact with negatively charged ligands. This situation may reflect the presence in CK2 catalytic subunits of several basic residues that are not conserved in the majority of other protein kinases. Some of these residues, notably K49 in the Gly rich loop, K74, K75, K76, K77, K79, R80, K83 in the Lys rich segment and R191, R195, K198 in the p+1 loop, have been shown by mutational studies to be implicated to various extents and with distinct roles in substrate recognition, inhibition by heparin and by pseudosubstrate and instrasteric regulation. Molecular modelization based on crystallographic data provide a rationale for the biochemical observations, showing that several of these basic residues are clustered around the active site where they make contact with individual acidic residues of the peptide substrate. They can also mediate the effect of polyanionic inhibitors (e.g. heparin) and of regulatory elements present in the b-subunit, in the N terminal segment of the catalytic subunit and possibly in other proteins interacting with CK2. Our data also disclose a unique mode of binding of the phosphoacceptor substrate which bridges across the catalytic cleft making contacts with both the lower and upper lobes of CK2.     

Age and sex-specific rates of leaf regeneration in the Mojave Desert moss Syntrichia caninervis

The extremely skewed female-biased sex ratio in the desert moss Syntrichia caninervis was investigated by assessing the regeneration capacity of detached leaves. Juvenile, green, yellow-green, and brown leaves equating to approximately 0, 2, 6, and 12 yr of age, respectively, were detached from individuals of S. caninervis collected from 10 field populations and grown in a growth chamber for 58 d at a light intensity of 33-128 μmol · m(-2) · s(-1). Younger leaves (0-2 yr old) tended to have a greater viability, regenerate more quickly, extend their protonemal filaments farther, produce shoots (gametophores) more quickly, produce more shoots, and accumulate a greater biomass than older leaves (6 and 12 yr old). Among younger leaf classes, regenerating female leaves were more likely to produce a shoot than male leaves and produced more shoots than male leaves. The sexes did not differ significantly in time until protonemal emergence, linear extension of protonemata, or rate of biomass accumulation. However, protonemata of male leaves tended to emerge more quickly and produce a greater total biomass, ultimately consisting mostly of protonemata, than did female leaves. The more rapid proliferation of shoots by female leaf regenerants may help to explain the rarity of males in this species.     

Loss of MYC confers resistance to doxorubicin-induced apoptosis by preventing the activation of multiple serine protease- and caspase-mediated pathways

c-Myc plays an essential role in proliferation, differentiation, and apoptosis. Because of its relevance to cancer, most studies have focused on the cellular consequences of c-Myc overexpression. Here, we address the role of physiological levels of c-Myc in drug-induced apoptosis. By using c-MYC null cells we confirm and extend recent reports showing a c-Myc requirement for the induction of apoptosis by a number of anticancer agents. In particular, we show that c-Myc is required for the induction of apoptosis by doxorubicin and etoposide, whereas it is not required for camptothecin-induced cell death. We have investigated the molecular mechanisms involved in executing doxorubicin-induced apoptosis and show caspase-3 activation by both mitochondria-dependent and -independent pathways. Moreover, serine proteases participate in doxorubicin-induced apoptosis partly by contributing to caspase-3 activation. Finally, a complete rescue from doxorubicin-induced apoptosis is obtained only when serine proteases, caspase-3, and mitochondrial activation are inhibited simultaneously. Interestingly, doxorubicin requires c-Myc for the activation of all of these pathways. Our findings therefore support a model in which doxorubicin simultaneously triggers multiple c-Myc-dependent apoptosis pathways.     

2-Dimethylamino-4,5,6,7-tetrabromo-1H-benzimidazole: a novel powerful and selective inhibitor of protein kinase CK2

Protein kinase CK2 is a highly pleiotropic enzyme whose high constitutive activity is suspected to be instrumental to the enhancement of the tumour phenotype and to the propagation of infectious diseases. Here we describe a novel compound, 2-dimethylamino-4,5,6,7-tetrabromo-1H-benzimidazole (DMAT), which is superior to the commonly used specific CK2 inhibitor 4,5,6,7-tetrabromobenzotriazole (TBB) in several respects. DMAT displays the lowest K(i) value ever reported for a CK2 inhibitor (40 nM); it is cell permeable and its efficacy on cultured cells, both in terms of endogenous CK2 inhibition and induction of apoptosis, is several fold higher than that of TBB. The selectivity of DMAT assayed on a panel of >30 protein kinases is comparable to that of TBB, with the additional advantage of being ineffective on protein kinase CK1 up to 200 microM. These properties make DMAT the first choice CK2 inhibitor for in vivo studies available to date.     

Pattern identification and classification in gene expression data using an autoassociative neural network model

The application of DNA microarray technology for analysis of gene expression creates enormous opportunities to accelerate the pace in understanding living systems and identification of target genes and pathways for drug development and therapeutic intervention. Parallel monitoring of the expression profiles of thousands of genes seems particularly promising for a deeper understanding of cancer biology and the identification of molecular signatures supporting the histological classification schemes of neoplastic specimens. However, the increasing volume of data generated by microarray experiments poses the challenge of developing equally efficient methods and analysis procedures to extract, interpret, and upgrade the information content of these databases. Herein, a computational procedure for pattern identification, feature extraction, and classification of gene expression data through the analysis of an autoassociative neural network model is described. The identified patterns and features contain critical information about gene-phenotype relationships observed during changes in cell physiology. They represent a rational and dimensionally reduced base for understanding the basic biology of the onset of diseases, defining targets of therapeutic intervention, and developing diagnostic tools for the identification and classification of pathological states. The proposed method has been tested on two different microarray datasets-Golub's analysis of acute human leukemia [Golub et al. (1999) Science 286:531-537], and the human colon adenocarcinoma study presented by Alon et al. [1999; Proc Natl Acad Sci USA 97:10101-10106]. The analysis of the neural network internal structure allows the identification of specific phenotype markers and the extraction of peculiar associations among genes and physiological states. At the same time, the neural network outputs provide assignment to multiple classes, such as different pathological conditions or tissue samples, for previously unseen instances.     

Sigma 54 levels and physiological control of the Pseudomonas putida Pu promoter

The cellular levels of the alternative sigma factor sigma(54) of Pseudomonas putida have been examined in a variety of growth stages and culture conditions with a single-chain Fv antibody tailored for detection of scarce proteins. The levels of sigma(54) were also monitored in P. putida strains with knockout mutations in ptsO or ptsN, known to be required for the C-source control of the sigma(54)-dependent Pu promoter of the TOL plasmid. Our results show that approximately 80 +/- 26 molecules of sigma(54) exist per cell. Unlike that in relatives of Pseudomonas (e.g., Caulobacter), where fluctuations of sigma(54) determine adaptation and differentiation when cells face starvation, sigma(54) in P. putida remains unexpectedly constant at different growth stages, in nitrogen starvation and C-source repression conditions, and in the ptsO and ptsN mutant strains analyzed. The number of sigma(54) molecules per cell in P. putida is barely above the predicted number of sigma(54)-dependent promoters. These figures impose a framework on the mechanism by which Pu (and other sigma(54)-dependent systems) may become amenable to physiological control.