Dynamic interaction of the measles virus hemagglutinin with its receptor signaling lymphocytic activation molecule (SLAM, CD150)

The interaction of measles virus with its receptor signaling lymphocytic activation molecule (SLAM) controls cell entry and governs tropism. We predicted potential interface areas of the measles virus attachment protein hemagglutinin to begin the investigation. We then assessed the relevance of individual amino acids located in these areas for SLAM-binding and SLAM-dependent membrane fusion, as measured by surface plasmon resonance and receptor-specific fusion assays, respectively. These studies identified one hemagglutinin protein residue, isoleucine 194, which is essential for primary binding. The crystal structure of the hemagglutinin-protein localizes Ile-194 at the interface of propeller blades 5 and 6, and our data indicate that a small aliphatic side chain of residue 194 stabilizes a protein conformation conducive to binding. In contrast, a quartet of residues previously shown to sustain SLAM-dependent fusion is not involved in binding. Instead, our data prove that after binding, this quartet of residues on propeller blade 5 conducts conformational changes that are receptor-specific. Our study sets a structure-based stage for understanding how the SLAM-elicited conformational changes travel through the H-protein ectodomain before triggering fusion protein unfolding and membrane fusion.     

Endocytic membrane traffic with respect to phagosomes in macrophages infected with non-pathogenic bacteria: phagosomal membrane acquires the same composition as lysosomal membrane

A morphometric analysis was made to study membrane traffic in bone marrow-derived macrophages, containing phagosomes with partially degraded Bacillus subtilis. Cell surface glycoproteins, labeled with radioactive galactose by terminal glycosylation, provided a covalent autoradiographic membrane marker. Membrane compartments were characterized in terms of cytochemical staining for horseradish peroxidase taken up by receptor-mediated endocytosis. The area, composition, and exchange rates of endocytic membrane compartments were measured as in a previous analysis for non-infected macrophages, devoid of phagosomes. In direct comparison with this earlier study, the present data allowed an assessment of the involvement of phagosomes in the interactions between endocytic membrane compartments. The presence of phagosomes led to a 30% reduction of lysosomal membrane area. The rate at which cell surface-derived label flowed into the lysosomal membrane pool was reduced by the same fractional amount. This suggested a linear relationship between flow rate and membrane area. The initial flow rate of label into phagosomes was higher than expected, based on their membrane area being only about 60% that of lysosomes. This rate could only be measured during the early phase of the experiments when phagosomes were younger, therefore displaying a fast exchange rate, reminiscent of the endosome compartment. However, steady-state conditions, at late times, strongly suggested that phagosomes with degraded contents finally acquire membrane of lysosomal origin. First, the composition of phagosome membrane became the same as that of lysosomes, remaining unchanged as compared to non-infected cells. Second, the membrane area of phagosomes amounted to the loss of lysosomal membrane area in infected cells.     

Zwei neue Heliotropium-Arten aus Afghanistan

Summary Two new species ofHeliotropium sect.Catimas DC. from the desert Registan in south-eastern Afghanistan are described, one of which,H. arenicolum Rech. f. et H.Riedl, is very closely related toH. Rechingeri H.Riedl (1967) and different from it only in the colour of the stems and the longer basal part of the style. The other one,H. leucocladum H.Riedl, belongs to a very natural group of xerophytic and halophytic species includingH. digynum (Forssk.)Aschers.,H. eremobium Bge.,H. Aucheri DC.,H. halame Boiss. etBuhse,H. Popovii H.Riedl andH. carmanicum Bge. Adaptations to the extremely dry habitat are discussed.     

Anthurus archerl (Berk.)Ed. Fischer — neu für Niederösterreich

Ohne Zusammenfassung     

Mechanism-based inactivation of caspases by the apoptotic suppressor p35.

Caspases play a crucial role in the ability of animal cells to kill themselves by apoptosis. Caspase activity is regulated in vivo by members of three distinct protease inhibitor families, one of which--p35--has so far only been found in baculoviruses. P35 has previously been shown to rapidly form essentially irreversible complexes with its target caspases in a process that is accompanied by peptide bond cleavage. To determine the protease-inhibitory pathway utilized by this very selective protease inhibitor, we have analyzed the thermodynamic and kinetic stability of the protein. We show that the conformation of p35 is stabilized following cleavage within its reactive site loop. An inactive catalytic mutant of caspase 3 is bound by p35, but much less avidly than the wild-type enzyme, indicating that the protease catalytic nucleophile is required for stable complex formation. The inhibited protease is trapped as a covalent adduct, most likely with its catalytic Cys esterified to the carbonyl carbon of the scissile peptide bond. Together these data reveal that p35 is a mechanism-based inactivator that has adopted an inhibitory device reminiscent of the widely distributed serpin family, despite a complete lack of sequence or structural homology.     

DeconvTest: Simulation framework for quantifying errors and selecting optimal parameters of image deconvolution

Deconvolution is an essential step of image processing that aims to compensate for the image blur caused by the microscope's point spread function. With many existing deconvolution methods, it is challenging to choose the method and its parameters most appropriate for particular image data at hand. To facilitate this task, we developed DeconvTest: an open‐source Python‐based framework for generating synthetic microscopy images, deconvolving them with different algorithms, and quantifying reconstruction errors. In contrast to existing software, DeconvTest combines all components required to analyze deconvolution performance in a systematic, high‐throughput and quantitative manner. We demonstrate the power of the framework by using it to identify the optimal deconvolution settings for synthetic and real image data. Based on this, we provide a guideline for (a) choosing optimal values of deconvolution parameters for image data at hand and (b) optimizing imaging conditions for best results in combination with subsequent image deconvolution.