Combining immunological and molecular data to assess phylogenetic relations of some Greek Podarcis species

Most recent molecular studies revealed the phylogeny of Greek Podarcis species, which for years remained elusive, due to discordant data produced from various chromosomal, complement fixation and protein studies. In this report, we analyzed cellular immune responses of spleen-derived lymphocytes from six allopatric Podarcis species encountered in Greece, by assessing two-way mixed lymphocyte reaction (MLR)-induced proliferation. On the basis of stimulation indices (S.I.) as determined from cultures set up from xenogeneic splenocytes coincubated in pairs, we generated a phylogenetic tree, fully consistent with the phylogenetic relationships of Podarcis as determined by parallel analyses based on partial mitochondrial (mt) DNA sequences. Although the exact mechanisms triggering lymphocyte responses in lizard two-way xenogeneic MLR are not fully understood, our results show the potential use of cell-mediated immune responses as an additional approach to mtDNA analysis, for species delimitation within specific lizard taxa.     

Gene expression profiling and its practice in drug development

The availability of sequenced genomes of human and many experimental animals necessitated the development of new technologies and powerful computational tools that are capable of exploiting these genomic data and ask intriguing questions about complex nature of biological processes. This gave impetus for developing whole genome approaches that can produce functional information of genes in the form of expression profiles and unscramble the relationships between variation in gene expression and the resulting physiological outcome. These profiles represent genetic fingerprints or catalogue of genes that characterize the cell or tissue being studied and provide a basis from which to begin an investigation of the underlying biology. Among the most powerful and versatile tools are high-density DNA microarrays to analyze the expression patterns of large numbers of genes across different tissues or within the same tissue under a variety of experimental conditions or even between species. The wide spread use of microarray technologies is generating large sets of data that is stimulating the development of better analytical tools so that functions can be predicted for novel genes. In this review, the authors discuss how these profiles are being used at various stages of the drug discovery process and help in the identification of new drug targets, predict the function of novel genes, and understand individual variability in response to drugs.     

Predicting final extent of ischemic infarction using artificial neural network analysis of multi-parametric MRI in patients with stroke

In hemispheric ischemic stroke, the final size of the ischemic lesion is the most important correlate of clinical functional outcome. Using a set of acute-phase MR images (Diffusion-weighted - DWI, T₁-weighted – T1WI, T₂-weighted-T2WI, and proton density weighted - PDWI) for inputs, and the chronic T2WI at 3 months as an outcome measure, an Artificial Neural Network (ANN) was trained to predict the 3-month outcome in the form of a voxel-by-voxel forecast of the chronic T2WI. The ANN was trained and tested using 12 subjects (with 83 slices and 140218 voxels) using a leave-one-out cross-validation method with calculation of the Area Under the Receiver Operator Characteristic Curve (AUROC) for training, testing and optimization of the ANN. After training and optimization, the ANN produced maps of predicted outcome that were well correlated (r = 0.80, p<0.0001) with the T2WI at 3 months for all 12 patients. This result implies that the trained ANN can provide an estimate of 3-month ischemic lesion on T2WI in a stable and accurate manner (AUROC = 0.89).     

The Effect of Anisotropic Microtubule-Bound Nucleations on Ordering in the Plant Cortical Array

The highly orientationally ordered cortical microtubule array in plant cells is a key component for cell growth and development. Recent experimental and computational work has shown that the anisotropic nucleation of new microtubules from pre-existing microtubules has a major effect on the alignment process. We formulate a theoretical model to investigate the role of the microtubule-bound nucleation on the self-organization of the dynamical cortical microtubules. A bifurcation analysis of the stability of the disordered phase of the model reveals that the effective degree of co-aligned nucleation is the main determinant of the location of the transition. Increased co-aligned nucleation creates a positive feedback effect on the ordering process that can significantly widen the ordered region. We validate these predictions by comparing to the results of particle-based simulations.     

Hidden diversity and productivity patterns in mixed Mediterranean grasslands

A detailed study of the variation in productivity across a diversity gradient in an experimental Mediterranean grassland examines the effects of a dominant perennial grass species upon the overall diversity–productivity relationship. The experiment took place at the Greek site of the European-wide BIODEPTH programme. The experimental design is characterized by the use of a number of communities containing annuals and perennials within the total set of manipulated plots. The main results are: 1) a log-linear relationship between diversity and productivity exists in Mediterranean grasslands synthesized by annuals only, 2) in mixed communities where multiple growth forms coexist, the performance of a dominant or keystone species may reverse or hide the diversity–productivity pattern of a functional or growth form group of species taken separately, and 3) the introduction of the dominant grass in the low-diversity mixtures creates an 'inverted' sampling effect which can produce as an artefact a constant productivity response across the diversity gradient.     

Comparative postautotomy tail activity in six Mediterranean lacertid lizard species

Tail autotomy, the self-induced tail separation from the body, is a common and effective antipredator mechanism in lizards. In this study, we examine the muscle energetics of tail shedding in six lacertid lizard species (Podarcis erhardii, Podarcis peloponnesiaca, Podarcis muralis, Podarcis gaigeae, Podarcis milensis, and Lacerta graeca) from the northeast Mediterranean region. Very long periods of postautotomy tail movement were demonstrated for all species (range=6-8 min), and differences among species were not statistically significant. Postautotomy tail movement, powered by anaerobic muscle activity, resulted in a strong increase in lactate concentrations and a concomitant depletion of muscle glycogen of exhausted tails relative to resting tails. No significant differences were found in either lactate or glycogen concentrations among the species examined. Duration of movement was negatively correlated with final lactate concentrations. The lack of differentiation in postautotomy energetic physiology in this group of species that have evolved under very different predation environments indicates that postautotomy muscle metabolism involves an overall conservative suite of characters.