Applications of a new subspace clustering algorithm (COSA) in medical systems biology

A novel clustering approach named Clustering Objects on Subsets of Attributes (COSA) has been proposed (Friedman and Meulman, (2004). Clustering objects on subsets of attributes. J. R. Statist. Soc. B 66, 1–25.) for unsupervised analysis of complex data sets. We demonstrate its usefulness in medical systems biology studies. Examples of metabolomics analyses are described as well as the unsupervised clustering based on the study of disease pathology and intervention effects in rats and humans. In comparison to principal components analysis and hierarchical clustering based on Euclidean distance, COSA shows an enhanced capability to trace partial similarities in groups of objects enabling a new discovery approach in systems biology as well as offering a unique approach to reveal common denominators of complex multi-factorial diseases in animal and human studies. Doris Damian, Matej Orešič, and Elwin Verheij contributed equally to this work.     

Land use intensification increasingly drives the spatiotemporal patterns of the global human appropriation of net primary production in the last century

Land use has greatly transformed Earth's surface. While spatial reconstructions of how the extent of land cover and land-use types have changed during the last century are available, much less information exists about changes in land-use intensity. In particular, global reconstructions that consistently cover land-use intensity across land-use types and ecosystems are missing. We, therefore, lack understanding of how changes in land-use intensity interfere with the natural processes in land systems. To address this research gap, we map land-cover and land-use intensity changes between 1910 and 2010 for 9 points in time. We rely on the indicator framework of human appropriation of net primary production (HANPP) to quantify and map land-use-induced alterations of the carbon flows in ecosystems. We find that, while at the global aggregate level HANPP growth slowed down during the century, the spatial dynamics of changes in HANPP were increasing, with the highest change rates observed in the most recent past. Across all biomes, the importance of changes in land-use areas has declined, with the exception of the tropical biomes. In contrast, increases in land-use intensity became the most important driver of HANPP across all biomes and settings. We conducted uncertainty analyses by modulating input data and assumptions, which indicate that the spatial patterns of land use and potential net primary production are the most critical factors, while spatial allocation rules and uncertainties in overall harvest values play a smaller role. Highlighting the increasing role of land-use intensity compared to changes in the areal extent of land uses, our study supports calls for better integration of the intensity dimension into global analyses and models. On top of that, we provide important empirical input for further analyses of the sustainability of the global land system.     

Carbon isotope variability and sedimentology of the Upper Permian carbonate rocks and changes across the Permian-Triassic boundary in the Masore section (Western Slovenia)

Carbonate and total organic carbon stable isotope analyses of the Upper Permian and Lower Triassic succession in the Masore section in western Slovenia indicate a high storage of organic matter during the Upper Permian, as well as the well known worldwide light carbon isotope event across the P/Tr boundary. The perturbations in the global carbon cycle observed in the investigated section span an approximately 50 cm thick interval (from –11 cm below to +41 cm above the lithostratigraphically determined P/Tr boundary), and coincide more or less with changes in lithology, as well as with an abrupt disappearance of Upper Permian marine fauna. In this section changes in the sedimentary environment are most probably related to Upper Permian—Lower Triassic sea level changes. The carbonate and organic carbon negative peak anomaly could be explained by accelerated changes in the end Permian carbon cycle, due to some co-occurring events, such as pronounced erosion and oxidation of organic carbon, a possible release of methane from stored hydrates, and volcanic activity, as well as by a sudden reduction in primary productivity triggered by not yet completely satisfactorily explained mechanisms.     

Dynamics of endogenous cytokinin pools in tobacco seedlings: a modelling approach

Recent advances in cytokinin analysis have made it possible to measure the content of 22 cytokinin metabolites in the tissue of developing tobacco seedlings. Individual types of cytokinins in plants are interconverted to their respective forms by several enzymatic activities (5'-AMP-isopentenyltransferase, adenosine nucleosidase, 5'-nucleotidase, adenosine phosphorylase, adenosine kinase, trans-hydroxylase, zeatin reductase, beta-glucosidase, O-glucosyl transferase, N-glucosyl transferase, cytokinin oxidase). This paper reports modelling and measuring of the dynamics of endogenous cytokinins in tobacco plants grown on media supplemented with isopentenyl adenine (IP), zeatin (Z) and dihydrozeatin riboside (DHZR). Differences in phenotypes generated by the three cytokinins are shown and discussed, and the assumption that substrate concentration drives enzyme kinetics underpinned the construction of a simple mathematical model of cytokinin metabolism in developing seedlings. The model was tested on data obtained from liquid chromatography/tandem mass spectrometry cytokinin measurements on tobacco seedlings grown on Murashige and Skoog agar nutrient medium, and on plants grown in the presence of IP, Z and DHZR. A close match was found between measured and simulated data, especially after a series of iterative parameter searches, in which the parameters were set to obtain the best fit with one of the data sets.     

Inhibitory effects of elevated endogenous cytokinins on nitrate reductase in ipt-expressing tobacco are eliminated by short-term exposure to benzyladenine

Using a novel system for expressing ipt gene from Agrobacterium tumefaciens in tobacco ( Nicotiana tabacum L., cv. Petit Havana SR1), we were able to grow seedlings and teratoma-like tissue with increased content of cytokinins. This material enabled us to investigate new regulatory aspects of nitrate reduction. We grew control plants and plants with elevated cytokinins on MS media, with or without nitrate and benzyladenine (BA). We determined in vitro nitrate reductase (EC 1.6.6.1) activity (NRA) in this plant material. Initially, we found that ipt -expressing plants always displayed lowered levels of NRA when compared to wild-type SR1 plants. We determined that long-term exposure of tobacco plants and tissue to cytokinins caused up to 60% decrease in NRA. Exposure to 40 m M nitrate was able to induce the activity in such plants 3-fold, increasing the activity in SR1 plants more than 5-fold. We were able to restore wild-type levels of NRA in ipt -expressing plants by simultaneous induction of NR with BA and nitrate. Our results suggest that regulation of NR by nitrate and cytokinin is a result of overlaying cytokinin-driven regulatory processes, with those acting in the short-term having a positive effect on NRA, and those acting over extended periods of time having inhibitory effects on NRA.     

DNA ploidy as a prognostic factor in rhabdomyosarcoma. Analysis of 35 cases with image cytometry

OBJECTIVE: To correlate DNA ploidy in rhabdomyosarcoma (RMS) with other prognostic factors and patient survival and to search for possible reasons for inconsistent conclusions in similar, published studies. STUDY DESIGN: DNA content was measured in archival specimens obtained from 35 patients (23 children and 12 adults) with RMS. Cell suspensions were prepared by the modified Hedley technique, stained by the modified Feulgen-thionin method and analyzed by automated high-resolution image cytometry. DNA ploidy was assessed on the basis of DNA index values. We used the chi 2 test to correlate DNA ploidy with other prognostic factors, Kaplan-Meier procedure to estimate overall survival in terms of individual prognostic factors, log-rank test to calculate differences in survival between groups and Cox multivariate regression analysis to determine the independence of variables in relation to survival. RESULTS: A statistically significant correlation was found only between DNA ploidy and histologic subtype of RMS, patient sex and patient age. A hyperdiploid DNA pattern predominated among patients with embryonal RMS, and a tetraploid pattern dominated among patients with alveolar RMS. The highest 5-year survival rate was seen among patients with hyperdiploid RMS, followed by those with diploid, tetraploid and hypertetraploid RMS. Although DNA ploidy was a significant prognostic factor in univariate analysis, it did not retain its independent prognostic value in multivariate analysis, in which patient age, tumor size and histologic subtype were the only significant factors. We found 12 articles reporting on the association between DNA ploidy and survival of patients with RMS: 6 found a correlation, and 6 did not. The main reasons for the discrepancies seem to be the inclusion of chemotherapy-treated and nontreated patients, low number of patients and differences in grouping DNA histograms. CONCLUSION: The precise prognostic value of DNA ploidy in RMS remains equivocal. Larger, cooperative studies could give statistically more reliable results.     

The SOS Response Master Regulator LexA Is Associated with Sporulation,Motility and Biofilm Formation in Clostridium difficile

The LexA regulated SOS network is a bacterial response to DNA damage of metabolic or environmental origin. In Clostridium difficile, a nosocomial pathogen causing a range of intestinal diseases, the in-silico deduced LexA network included the core SOS genes involved in the DNA repair and genes involved in various other biological functions that vary among different ribotypes. Here we describe the construction and characterization of a lexA ClosTron mutant in C. difficile {"type":"entrez-nucleotide","attrs":{"text":"R20291","term_id":"774925"}}R20291 strain. The mutation of lexA caused inhibition of cell division resulting in a filamentous phenotype. The lexA mutant also showed decreased sporulation, a reduction in swimming motility, greater sensitivity to metronidazole, and increased biofilm formation. Changes in the regulation of toxin A, but not toxin B, were observed in the lexA mutant in the presence of sub-inhibitory concentrations of levofloxacin. C. difficile LexA is, therefore, not only a regulator of DNA damage but also controls many biological functions associated with virulence.     

Trophic niche partitioning in communities of African annual fish: evidence from stable isotopes

Annual killifish of the genus Nothobranchius often co-occur in temporary savannah pools. Their space- and time-limited environment does not allow for any substantial habitat or temporal segregation. Coexisting species are therefore predicted to have well separated trophic niches to avoid intense food competition. Although in a previous “snapshot” study using stomach content analysis (SCA), the trophic niches of three sympatric species (N. furzeri, N. orthonotus, and N. pienaari) were found to vary among species, the difference was relatively weak and inconsistent across different sites. Here, we used the time-integrative capacity of stable isotope analysis to test whether the trophic niches of sympatric Mozambican Nothobranchius are more distinct over a long-term period. Analysis of carbon and nitrogen stable isotopes separated the trophic niche and trophic position of N. pienaari but failed to find any difference between N. furzeri/N. kadleci and N. orthonotus. No segregation was found at the sites with low prey diversity. In contrast, SCA identified N. orthonotus as the species with the most distinct trophic niche. We discuss the effect of prey diversity and different sensitivities of stomach content and stable isotope analysis in general and conclude that the trophic niches of the three sympatric Nothobranchius species are well separated.     

How gate setup and turn radii influence energy dissipation in slalom ski racing

This study examined whether gate setup and turn radii influence energy dissipation in slalom skiing. 3D kinematical measurements were performed over two runs on the same slope in a WC slalom competition with two different gate setups: 1) open gates (OG) and 2) open gates with a delayed gate (DG). Using the arithmetic mean of the skis' turn radii (R(AMS)) the slalom turns were divided into 1) initiation phase (R(AMS) > 15 m) and steering phase (R(AMS) < 15 m). The results show differences between OG and DG regarding: 1) the absolute center of gravity's (CG) velocity, 2) absolute acceleration, 3) CG turn radii and R(AMS), 4) ground reaction forces (F) and 5) energy dissipation during skiing (all p < .05). In both gate setups the highest F and the highest energy dissipation were present in the steering phase, whereas the correlation between R(AMS) and energy dissipation was low (OG: r = .364 and DG: r = .214, both p < .001). In summary, compared with plain open gates, an additional delayed gate prolonged the turn radii and decreased energy dissipation in the beginning of the initiation phase, despite the fact that the relative frequency of occurrence of the highest energy dissipation was higher in DG.