Logic modeling and the ridiculome under the rug

Logic-derived modeling has been used to map biological networks and to study arbitrary functional interactions, and fine-grained kinetic modeling can accurately predict the detailed behavior of well-characterized molecular systems; at present, however, neither approach comes close to unraveling the full complexity of a cell. The current data revolution offers significant promises and challenges to both approaches - and could bring them together as it has spurred the development of new methods and tools that may help to bridge the many gaps between data, models, and mechanistic understanding.Have you used logic modeling in your research? It would not be surprising if many biologists would answer no to this hypothetical question. And it would not be true. In high school biology we already became familiar with cartoon diagrams that illustrate basic mechanisms of the molecular machinery operating inside cells. These are nothing else but simple logic models. If receptor and ligand are present, then receptor-ligand complexes form; if a receptor-ligand complex exists, then an enzyme gets activated; if the enzyme is active, then a second messenger is being produced; and so on. Such chains of causality are the essence of logic models (Figure 1a). Arbitrary events and mechanisms are abstracted; relationships are simplified and usually involve just two possible conditions and three possible consequences. The presence or absence of one or more molecule, activity, or function, [some icons in the cartoon] will determine whether another one of them will be produced (created, up-regulated, stimulated) [a 'positive' link] or destroyed (degraded, down-regulated, inhibited) [a 'negative' link], or be unaffected [there is no link]. The icons and links often do not follow a standardized format, but when we look at such a cartoon diagram, we believe that we 'understand' how the system works. Because our brain is easily able to process these relationships, these diagrams allow us to answer two fundamental types of questions related to the system: why (are certain things happening)? What if (we make some changes)?     

Molecular determinants of sphingomyelin specificity of a eukaryotic pore-forming toxin

Sphingomyelin (SM) is abundant in the outer leaflet of the cell plasma membrane, with the ability to concentrate in so-called lipid rafts. These specialized cholesterol-rich microdomains not only are associated with many physiological processes but also are exploited as cell entry points by pathogens and protein toxins. SM binding is thus a widespread and important biochemical function, and here we reveal the molecular basis of SM recognition by the membrane-binding eukaryotic cytolysin equinatoxin II (EqtII). The presence of SM in membranes drastically improves the binding and permeabilizing activity of EqtII. Direct binding assays showed that EqtII specifically binds SM, but not other lipids and, curiously, not even phosphatidylcholine, which presents the same phosphorylcholine headgroup. Analysis of the EqtII interfacial binding site predicts that electrostatic interactions do not play an important role in the membrane interaction and that the two most important residues for sphingomyelin recognition are Trp(112) and Tyr(113) exposed on a large loop. Experiments using site-directed mutagenesis, surface plasmon resonance, lipid monolayer, and liposome permeabilization assays clearly showed that the discrimination between sphingomyelin and phosphatidylcholine occurs in the region directly below the phosphorylcholine headgroup. Because the characteristic features of SM chemistry lie in this subinterfacial region, the recognition mechanism may be generic for all SM-specific proteins.     

On adjoint dynamical systems

Transformations of dynamical systems are discussed in terms of adjoint, simple adjoint and weak adjoint functors. The relevance of this approach to interpretations of nuclear transplant experiments is suggested, and three new theorems concerning the development of biological systems are presented. Another three theorems concerning adjoint dynamical systems are proved. The connection of these results with the theory of organismic sets developed by Rashevsky (1966, 1967a-c, 1968a-c, 1969a-c, 1971a, b) is also investigated.     

Natural transformations of organismic structures

The mathematical structures underlying the theories of organismic sets, (M, R)-systems and molecular sets are shown to be transformed naturally within the theory of categories and functors. Their natural transformations allow the comparison of distinct entities, as well as the modelling of dynamics in “organismic” structures.     

Optical method for monitoring of photodynamic inactivation of bacteria

Photodynamic inactivation is a new promising approach to treat bacterial infections. Usually, the evaluation of the efficacy of this method is done through time-consuming and labor-intensive microbiological test methods. This paper describes the development and implementation of an optical method to evaluate the photodynamic inactivation of bacteria based on non-invasive diffuse reflectance measurements. Five Staphylococcus aureus cultures and 15 mice have been used in this study. A skin lesion was created on the back of all animals, and it was contaminated with S. aureus (5.16 ± 0.013 log CFU/ml). Toluidine Blue O (c = 8.67 × 10 ^− 3 M) has been used as a photosensitiser agent. The bacterial cultures and animals were exposed to laser radiation (λ = 635 nm, P = 15 mW, DE = 8.654 J/cm²) for 20 min. The photodynamic inactivation of bacteria was monitored by acquiring the wounds’ reflection spectra at different time points and by microbiological exams on the bioptical material. The good correlation between the diffuse reflectance and colony-forming units demonstrates the value of this optical method based on diffuse reflectance measurements as a rapid technique to monitor photodynamic bacterial inactivation.     

How does it act when soluble? Critical evaluation of mechanism of galectin-1 induced T-cell apoptosis

Galectin-1 (Gal-1), a mammalian lectin induces apoptosis of T lymphocytes. Contradictory data have resulted in confusing knowledge regarding mechanism of Gal-1 induced T-cell apoptosis. In this paper we aimed to resolve this controversy by comparing cell death induced by low (1.8 μM, lowGal-1) and high (18 μM, highGal-1) concentration of soluble Gal-1. We show that lowGal-1 and highGal-1 trigger phosphatidylserine exposure, generation of rafts and mitochondrial membrane depolarization. In contrast, lowGal-1 but not highGal-1 is dependent on the presence of p56lck and ZAP70 and activates caspase cascade. The results allow the conclusion that the cell-death mechanism strictly depends on the concentration of Gal-1.     

Replication banding studies in two cyprinid fishes

The use of the in vivo 5-bromodeoxyuridine (BrdU) incorporation technique made it possible to induce highly reproducible replication bands of the RBA type in two species of the order Cypriniformes (Teleostei), Rutilus rutilus and Scardinius erythrophthalmus. This allowed unequivocal identification of each individual chromosome by its banding pattern and the preparation of species specific karyotypes. Comparison of RBA-banded karyotypes of these two closely related fish species revealed that the majority of the chromosomes could be homoeologized either directly, or by assuming paracentric or pericentric inversions.by D. Schweizer