Genetic and morphological characterisation of the Ankole Longhorn cattle in the African Great Lakes region

The study investigated the population structure, diversity and differentiation of almost all of the ecotypes representing the African Ankole Longhorn cattle breed on the basis of morphometric (shape and size), genotypic and spatial distance data. Twentyone morphometric measurements were used to describe the morphology of 439 individuals from 11 sub-populations located in five countries around the Great Lakes region of central and eastern Africa. Additionally, 472 individuals were genotyped using 15 DNA microsatellites. Femoral length, horn length, horn circumference, rump height, body length and fore-limb circumference showed the largest differences between regions. An overall F_ST index indicated that 2.7% of the total genetic variation was present among sub-populations. The least differentiation was observed between the two sub-populations of Mbarara south and Luwero in Uganda, while the highest level of differentiation was observed between the Mugamba in Burundi and Malagarasi in Tanzania. An estimated membership of four for the inferred clusters from a model-based Bayesian approach was obtained. Both analyses on distance-based and model-based methods consistently isolated the Mugamba sub-population in Burundi from the others.     

Genome size in Dahlia Cav. (Asteraceae–Coreopsideae)

The genus Dahlia (Asteraceae–Coreopsideae) is monophyletic according to a recent DNA phylogeny (ETS and ITS of rDNA). Traditionally, the genus has been divided into sections, but these have been shown not to be monophyletic. We have studied variation in genome size (DNA C-values) in a sample of species to investigate the possible effects of secondary metabolites on flow cytometry and Feulgen densitometry, and to see whether genome size variation has any systematic or phylogenetic significance. Using a range of cultivars, secondary compounds from corollas were shown to have only minor effects on the Feulgen method; the floral pigments were found to be relatively inert and seemed to have been extracted on fixation with acetic methanol. Freshly expanded corollas showed apparent apoptotic DNA decay in epidermal cells, so need to be used with caution. Flow cytometric measurements with propidium iodide in some cultivars resulted in a very similar average genome size (2C = 8.62 pg) as compared with Feulgen densitometry (2C = 8.84 pg). Leaf cytosol of D. variabilis has a demonstrable inhibitory effect on propidium iodide fluorescence, which may explain some of the intraspecific variation of C-values observed. DNA 2C-values ranged from 3.30 pg in D. dissecta (2n = 34) to 9.62 pg in a D. variabilis cultivar (2n = 64). The D. variabilis cultivars had broadly similar C-values showing a 1.16-fold range between cultivars. Some of this variation probably results from technical variables and the extent of genuine variation is uncertain. The highest 2Cx-value occurred in one D. coccinea accession (2.47 pg, 2n = 32; x = 8). D. coccinea with 2n = 64 showed slightly reduced Cx-values compared to D. coccinea with 2n = 32. Artificially produced interspecific hybrids had C-values that corresponded closely with expectations from the measured values obtained from their parents.     

Effects of basic fibroblast growth factor on endothelial cells under conditions of simulated microgravity

Fibroblast growth factors interact with appropriate endothelial cell (EC) surface receptors and initiate intracellular signal cascades, which participate in modulating blood vessel growth. EC, upon exposure to basic fibroblast growth factors (bFGFs) undergo profound functional alterations, which depend on their actual sensitivity and involve gene expression and de novo protein synthesis. We investigated the effects of bFGF on signaling pathways of EA.hy926 cells in different environments. EC were cultured under normal gravity (1 g) and simulated microgravity (micro g) using a three-dimensional (3D) clinostat. Microgravity induced early and late apoptosis, extracellular matrix proteins, endothelin-1 (ET-1) and TGF-beta(1) expression. Microgravity reduced eNOS mRNA within 24 h. Moreover, a six- to eightfold higher amount of IL-6 and IL-8 was secreted within 24 h micro g. In addition, microgravity induced a duplication of NF-kappaB p50, while p65 was quadrupled. At 1 g, bFGF application (4 h) reduced ET-1, TGF-beta(1) and eNOS gene expression. After 24 h, bFGF enhanced fibronectin, VEGF, Flk-1, Flt-1, the release of IL-6, IL-8, and TGF-beta(1). Furthermore, bFGF promoted apoptosis, reduced NFkB p50, but enhanced NFkB p65. After 4 h micro g, bFGF decreased TGF-beta(1), eNOS, and ET-1 gene expression. After 24 h micro g, bFGF elevated fibronectin, Flk-1 and Flt-1 protein, and reduced IL-6 and IL-8 compared with vehicle treated micro g cultures. In micro g, bFGF enhanced NF-KappaB p50 by 50%, Bax by 25% and attenuated p65, activation of caspase-3 and annexin V-positive cells. bFGF differently changes intracellular signals in ECs depending whether it is applied under microgravity or normal gravity conditions. In microgravity, bFGF contributes to protect the EC from apoptosis.     

Protein-protein docking by simulating the process of association subject to biochemical constraints

We present a computational procedure for modeling protein-protein association and predicting the structures of protein-protein complexes. The initial sampling stage is based on an efficient Brownian dynamics algorithm that mimics the physical process of diffusional association. Relevant biochemical data can be directly incorporated as distance constraints at this stage. The docked configurations are then grouped with a hierarchical clustering algorithm into ensembles that represent potential protein-protein encounter complexes. Flexible refinement of selected representative structures is done by molecular dynamics simulation. The protein-protein docking procedure was thoroughly tested on 10 structurally and functionally diverse protein-protein complexes. Starting from X-ray crystal structures of the unbound proteins, in 9 out of 10 cases it yields structures of protein-protein complexes close to those determined experimentally with the percentage of correct contacts >30% and interface backbone RMSD <4 A. Detailed examination of all the docking cases gives insights into important determinants of the performance of the computational approach in modeling protein-protein association and predicting of protein-protein complex structures.     

The Value of the Serum Neurofilament Protein Heavy Chain as a Biomarker for Peri-operative Brain Injury After Carotid Endarterectomy

This prospective study examined the value of serum neurofilament protein levels for detecting peri-operative brain damage following carotid endarterectomy. An ELISA was used for quantification of neurofilament protein heavy chain (NfH^SMI35) levels from patients undergoing endarterectomy for symptomatic (n = 17) and asymptomatic high-grade internal carotid artery stenosis (n = 30). All patients underwent diffusion-weighted brain imaging before and after the procedure. NfH^SMI35 levels were significantly higher in patients with a symptomatic carotid artery stenosis (0.131 ng/ml) if compared to asymptomatic patients (0.055 ng/ml, P = 0.01). However, serum NfH^SMI35 levels were not related to signs of brain ischemia on routine brain imaging techniques. Our pilot data suggests that raised NfH^SMI35 serum levels in patients with symptomatic carotid artery disease may be a sensitive biomarker for diffuse ischemic damage to the CNS. We conclude that NfH^SMI35 failed to qualify as a biomarker for peri-operative brain injury in CEA and factors that may have compromised the validation of this biomarker are discussed and need to be taken into account for the design of further studies.     

Profiling of T‐cell receptor signaling complex assembly in human CD4 T‐lymphocytes using RP protein arrays

The RP protein (RPP) array approach immobilizes minute amounts of cell lysates or tissue protein extracts as distinct microspots on NC‐coated slide. Subsequent detection with specific antibodies allows multiplexed quantification of proteins and their modifications at a scale that is beyond what traditional techniques can achieve. Cellular functions are the result of the coordinated action of signaling proteins assembled in macromolecular complexes. These signaling complexes are highly dynamic structures that change their composition with time and space to adapt to cell environment. Their comprehensive analysis requires until now relatively large amounts of cells (>5×10⁷) due to their low abundance and breakdown during isolation procedure. In this study, we combined small scale affinity capture of the T‐cell receptor (TCR) and RPP arrays to follow TCR signaling complex assembly in human ex vivo isolated CD4 T‐cells. Using this strategy, we report specific recruitment of signaling components to the TCR complex upon T‐cell activation in as few as 0.5 million of cells. Second‐ to fourth‐order TCR interacting proteins were accurately quantified, making this strategy specially well‐suited to the analysis of membrane‐associated signaling complexes in limited amounts of cells or tissues, e.g., ex vivo isolated cells or clinical specimens.     

Improved homology-driven computational validation of protein-protein interactions motivated by the evolutionary gene duplication and divergence hypothesis

Background  

Protein-protein interaction (PPI) data sets generated by high-throughput experiments are contaminated by large numbers of erroneous PPIs. Therefore, computational methods for PPI validation are necessary to improve the quality of such data sets. Against the background of the theory that most extant PPIs arose as a consequence of gene duplication, the sensitive search for homologous PPIs, i.e. for PPIs descending from a common ancestral PPI, should be a successful strategy for PPI validation.     

Following Mitochondrial Footprints through a Long Mucosal Path to Lung Cancer

Background

Mitochondrial DNA (mtDNA) mutations are reported in different tumors. However, there is no information on the temporal development of the mtDNA mutations/content alteration and their extent in normal and abnormal mucosa continuously exposed to tobacco smoke in lung cancer patients.

Methodology

We examined the pattern of mtDNA alteration (mtDNA mutation and content index) in 25 airway mucosal biopsies, corresponding tumors and normal lymph nodes obtained from three patients with primary lung cancers. In addition, we examined the pattern of mtDNA mutation in corresponding tumors and normal lymph nodes obtained from eight other patients with primary lung cancers. The entire 16.5 kb mitochondrial genome was sequenced on Affymetrix Mitochip v2.0 sequencing platform in every sample. To examine mtDNA content index, we performed real-time PCR analysis.

Principal Findings

The airway mucosal biopsies obtained from three lung cancer patients were histopathologically negative but exhibited multiple clonal mtDNA mutations detectable in the corresponding tumors. One of the patients was operated twice for the removal of tumor from the right upper and left lower lobe respectively within a span of two years. Both of these tumors exhibited twenty identical mtDNA mutations. MtDNA content increased significantly (P<0.001) in the lung cancer and all the histologically negative mucosal biopsies except one compared to the control lymph node.

Conclusions/Significance:

Our results document the extent of massive clonal patches that develop in lifetime smokers and ultimately give rise to clinically significant cancers. These observations shed light on the extent of disease in the airway of smokers traceable through mtDNA mutation. MtDNA mutation could be a reliable tool for molecular assessment of respiratory epithelium exposed to continuous smoke as well as disease detection and monitoring. Functional analysis of the pathogenic mtDNA mutations may be useful to understand their role in lung tumorigenesis.