Volatile profiles of human skin cell cultures in different degrees of senescence

It is known that skin releases volatile organic compounds to the environment, and also that its emission pattern changes with aging of the skin. It could be considered, that these compounds are intermediaries in cell metabolism, since many intermediaries of metabolic pathways have a volatile potential. In this work, a simple and non-destructive method consisting of SPME sampling and GC/MS analysis was developed to identify volatile organic emanations from cell cultures. This technique, applied to skin cells culture, indicates that the cells or cell metabolism produce several skin emissions. Chemometric analysis was performed in order to explore the relationship between a volatile profile and the senescence of cell cultures. Volatile profiles were different for cell cultures in different degrees of senescence, indicating that volatile compound patterns could be used to provide information about the age of skin cells.     

Selective Vulnerability of Spinal and Cortical Motor Neuron Subpopulations in delta7 SMA Mice

Loss of the survival motor neuron gene (SMN1) is responsible for spinal muscular atrophy (SMA), the most common inherited cause of infant mortality. Even though the SMA phenotype is traditionally considered as related to spinal motor neuron loss, it remains debated whether the specific targeting of motor neurons could represent the best therapeutic option for the disease. We here investigated, using stereological quantification methods, the spinal cord and cerebral motor cortex of ∆7 SMA mice during development, to verify extent and selectivity of motor neuron loss. We found progressive post-natal loss of spinal motor neurons, already at pre-symptomatic stages, and a higher vulnerability of motor neurons innervating proximal and axial muscles. Larger motor neurons decreased in the course of disease, either for selective loss or specific developmental impairment. We also found a selective reduction of layer V pyramidal neurons associated with layer V gliosis in the cerebral motor cortex. Our data indicate that in the ∆7 SMA model SMN loss is critical for the spinal cord, particularly for specific motor neuron pools. Neuronal loss, however, is not selective for lower motor neurons. These data further suggest that SMA pathogenesis is likely more complex than previously anticipated. The better knowledge of SMA models might be instrumental in shaping better therapeutic options for affected patients.     

Time course of sister chromatid exchanges and gene amplification induced by 1-β-d-arabinofuranosylcytosine in V79-AP4 Chinese hamster cells

To investigate the induction of gene amplification by a transient inhibition of DNA synthesis, V79-AP4 Chinese hamster cells were treated with 1--d-arabinofurano-sylcytosine (araC). At given intervals after the treatment, the frequency of N-(phosphonacetyl)-l-aspartate (PALA)-resistant colony-forming cells was determined. The data indicate that PALA resistance was enhanced by araC treatment and that this effect was essentially due to the amplification of the CAD gene. Moreover, by analysing the kinetics of induction of PALA resistance it was found that its time course paralleled araC induction of sister chromatid exchanges (SCEs). These results suggest that gene amplification and SCE occur in the same target cells.     

8-Azaguanine versus 6-thioguanine: influence on frequency and expression time of induced HGPRT- mutations in Chinese hamster V79 cells

Chinese hamster V79 cells were mutagenized with ethyl methanesulfonate at various concentrations. Clones resistant to 8-azaguanine (20 and 80 micrograms/ml) or 6-thioguanine (4 micrograms/ml) were selected at different times after the treatments. The total yield of induced mutations was only slightly affected by the kind and concentration of purine analog used in the selection. However, full phenotypic expression of the mutants selected with 8-azaguanine was achieved earlier than that of mutants resistant to 6-thioguanine. This result seems to be best explained by the reported lower affinity of 8-azaguanine for the wild-type HGPRT enzyme, thus providing evidence that, in this gene-mutation assay, the phenotypic expression time has a physiological component.     

CHIRBASE,a graphical molecular database on the separation of enantiomers by liquid-, supercritical fluid-, and gas chromatography

In order to cope with the increasing number of publications on the separation of enantiomers by chromatography on a chiral stationary phase, the graphical molecular database CHIRBASE was created. In the present state, the database package covers information (structural, bibiographic, and chromatographic data) on liquid-, supercritical fluid-, and gas chromatography; other methods will follow. CHIRBASE, running on the MDL software Chembase®, meets the requirements of contemporary information management in the chemical and pharmaceutical industry. (Detailed information including a demo-version of each part of CHIRBASE can be obtained from the authors on request.) © 1993 Wiley-Liss, Inc.     

A Design Pattern for Decentralised Decision Making

The engineering of large-scale decentralised systems requires sound methodologies to guarantee the attainment of the desired macroscopic system-level behaviour given the microscopic individual-level implementation. While a general-purpose methodology is currently out of reach, specific solutions can be given to broad classes of problems by means of well-conceived design patterns. We propose a design pattern for collective decision making grounded on experimental/theoretical studies of the nest-site selection behaviour observed in honeybee swarms (Apis mellifera). The way in which honeybee swarms arrive at consensus is fairly well-understood at the macroscopic level. We provide formal guidelines for the microscopic implementation of collective decisions to quantitatively match the macroscopic predictions. We discuss implementation strategies based on both homogeneous and heterogeneous multiagent systems, and we provide means to deal with spatial and topological factors that have a bearing on the micro-macro link. Finally, we exploit the design pattern in two case studies that showcase the viability of the approach. Besides engineering, such a design pattern can prove useful for a deeper understanding of decision making in natural systems thanks to the inclusion of individual heterogeneities and spatial factors, which are often disregarded in theoretical modelling.