Three-dimensional structure of a viral genome-delivery portal vertex.

DNA viruses such as bacteriophages and herpesviruses deliver their genome into and out of the capsid through large proteinaceous assemblies, known as portal proteins. Here, we report two snapshots of the dodecameric portal protein of bacteriophage P22. The 3.25-Å-resolution structure of the portal-protein core bound to 12 copies of gene product 4 (gp4) reveals a ~1.1-MDa assembly formed by 24 proteins. Unexpectedly, a lower-resolution structure of the full-length portal protein unveils the unique topology of the C-terminal domain, which forms a ~200-Å-long α-helical barrel. This domain inserts deeply into the virion and is highly conserved in the Podoviridae family. We propose that the barrel domain facilitates genome spooling onto the interior surface of the capsid during genome packaging and, in analogy to a rifle barrel, increases the accuracy of genome ejection into the host cell

Arterio-venous gradients of IL-6, plasma and serum VEGF and D-dimers in human cancer

The circulating angiogenic factors vascular endothelial growth factor-A, interleukin-6 and the fibrin D-dimer fragment were measured in the mesenteric vein, the uterine vein, as well as in peripheral venous and arterial samples in 21 randomly selected patients with operable colorectal, ovarian and cervical carcinoma. In addition, immunohistochemistry for vascular endothelial growth factor-A and interleukin-6 was performed on colorectal tumours of such patients. Serum and plasma vascular endothelial growth factor-A were not significantly elevated in the vein draining the tumours, despite tumour cell expression of vascular endothelial growth factor-A. Serum vascular endothelial growth factor-A is therefore not all tumour-derived. In contrast, serum interleukin-6 was highly elevated in the draining veins in agreement with expression of interleukin-6 in the cytoplasm of tumour cells. In the megakaryoblastic cell line MEG-01, the expression of vascular endothelial growth factor-A was found to be regulated by interleukin-6. Thus, the higher platelet vascular endothelial growth factor-A load resulting in higher serum vascular endothelial growth factor levels in cancer patients may partly result from an interleukin-6 mediated up-regulation of the expression of vascular endothelial growth factor-A in the precursor of the platelet, i.e. the megakaryocyte. We also confirmed by immunohistochemistry that platelets adhere and aggregate on tumour endothelium. We propose that interleukin-6 indirectly promotes tumour angiogenesis through its up-regulation of the vascular endothelial growth factor-A load in platelets. In addition, the correlations found between peripheral venous interleukin-6 and peripheral venous fibrinogen and D-dimers levels, and the high D-dimer levels found in the draining vein of the tumour, in agreement with fibrin deposits found in the tumour stroma, suggest an important role for interleukin-6 in extra-vascular fibrinogen metabolism. Our results suggest a pivotal role for interleukin-6 in the intrinsic link between haemostasis and angiogenesis. This might be of importance in the development of anti-angiogenic agents based on interference with haemostasis

NeuroML: A Language for Describing Data Driven Models of Neurons and Networks with a High Degree of Biological Detail

Biologically detailed single neuron and network models are important for understanding how ion channels, synapses and anatomical connectivity underlie the complex electrical behavior of the brain. While neuronal simulators such as NEURON, GENESIS, MOOSE, NEST, and PSICS facilitate the development of these data-driven neuronal models, the specialized languages they employ are generally not interoperable, limiting model accessibility and preventing reuse of model components and cross-simulator validation. To overcome these problems we have used an Open Source software approach to develop NeuroML, a neuronal model description language based on XML (Extensible Markup Language). This enables these detailed models and their components to be defined in a standalone form, allowing them to be used across multiple simulators and archived in a standardized format. Here we describe the structure of NeuroML and demonstrate its scope by converting into NeuroML models of a number of different voltage- and ligand-gated conductances, models of electrical coupling, synaptic transmission and short-term plasticity, together with morphologically detailed models of individual neurons. We have also used these NeuroML-based components to develop an highly detailed cortical network model. NeuroML-based model descriptions were validated by demonstrating similar model behavior across five independently developed simulators. Although our results confirm that simulations run on different simulators converge, they reveal limits to model interoperability, by showing that for some models convergence only occurs at high levels of spatial and temporal discretisation, when the computational overhead is high. Our development of NeuroML as a common description language for biophysically detailed neuronal and network models enables interoperability across multiple simulation environments, thereby improving model transparency, accessibility and reuse in computational neuroscience

Pathogens and host immunity in the ancient human oral cavity.

Calcified dental plaque (dental calculus) preserves for millennia and entraps biomolecules from all domains of life and viruses. We report the first, to our knowledge, high-resolution taxonomic and protein functional characterization of the ancient oral microbiome and demonstrate that the oral cavity has long served as a reservoir for bacteria implicated in both local and systemic disease. We characterize (i) the ancient oral microbiome in a diseased state, (ii) 40 opportunistic pathogens, (iii) ancient human-associated putative antibiotic resistance genes, (iv) a genome reconstruction of the periodontal pathogen Tannerella forsythia, (v) 239 bacterial and 43 human proteins, allowing confirmation of a long-term association between host immune factors, 'red complex' pathogens and periodontal disease, and (vi) DNA sequences matching dietary sources. Directly datable and nearly ubiquitous, dental calculus permits the simultaneous investigation of pathogen activity, host immunity and diet, thereby extending direct investigation of common diseases into the human evolutionary past

Structural studies on a family of cAMP-binding proteins in the nervous system of Aplysia.

Five major cAMP-binding proteins that differ in size and charge have been identified in neurons of Aplysia californica by photoaffinity labeling with [32P]8-N3cAMP. These proteins, which we believe are regulatory subunits of cAMP-dependent protein kinase, all differ from the major cAMP-binding protein of buccal muscle. We have compared the structures of these proteins by peptide mapping after chemical and proteolytic cleavage. These analyses indicate that the five binding proteins from nervous tissue and the major muscle protein are closely related to each other. For example, the three neuronal proteins that are most alike and the cAMP-binding protein from muscle have a similar, if not identical, Mr 20,000 domain that contains the 8-N3cAMP-binding site; beyond this domain they diverge. All six proteins appear to belong to a family in which homologous regions have been conserved to maintain common functions. We suggest that the regions of the molecules that differ mediate special functions such as ticketing to particular compartments of the cell. Evidence for regional assortment of the cAMP-dependent protein kinases according to structural type was afforded by subcellular fractionation of Aplysia nervous tissue; photoaffinity labeling of cytoplasm, cytoskeleton, and membrane fractions demonstrated a differential distribution of the five neuronal cAMP-binding proteins. Selective phosphorylation of specific substrates could be a consequence of the compartmentation of diverse cAMP-dependent kinases