alpha3beta1 integrin-CD151, a component of the cadherin-catenin complex, regulates PTPmu expression and cell-cell adhesion

The beta1 family of integrins has been primarily studied as a set of receptors for the extracellular matrix. In this paper, we define a novel role for alpha3beta1 integrin in association with the tetraspanin CD151 as a component of a cell-cell adhesion complex in epithelial cells that directly stimulates cadherin-mediated adhesion. The integrin-tetraspanin complex affects epithelial cell-cell adhesion at the level of gene expression both by regulating expression of PTPmu and by organizing a multimolecular complex containing PKCbetaII, RACK1, PTPmu, beta-catenin, and E-cadherin. These findings demonstrate how integrin-based signaling can regulate complex biological responses at multiple levels to determine cell morphology and behavior.     

Predicting the helix‐helix interactions from correlated residue mutations

Helix‐helix interactions are crucial in the structure assembly, stability and function of helix‐rich proteins including many membrane proteins. In spite of remarkable progresses over the past decades, the accuracy of predicting protein structures from their amino acid sequences is still far from satisfaction. In this work, we focused on a simpler problem, the prediction of helix‐helix interactions, the results of which could facilitate practical protein structure prediction by constraining the sampling space. Specifically, we started from the noisy 2D residue contact maps derived from correlated residue mutations, and utilized ridge detection to identify the characteristic residue contact patterns for helix‐helix interactions. The ridge information as well as a few additional features were then fed into a machine learning model HHConPred to predict interactions between helix pairs. In an independent test, our method achieved an F‐measure of ～60% for predicting helix‐helix interactions. Moreover, although the model was trained mainly using soluble proteins, it could be extended to membrane proteins with at least comparable performance relatively to previous approaches that were generated purely using membrane proteins. All data and source codes are available at http://166.111.152.91/Downloads.html or https://github.com/dpxiong/HHConPred .     

Narrating the First Dogs: Canine Agency in the First Contacts with Indigenous Peoples in the Brazilian Amazon

Narratives addressing the presence of European domestic dogs (Canis familiaris) in the encounters between Indians and non-Indians in the conquest of the Central and South American lowlands often portray those animals as terrible and bloodthirsty weapons. From the settlers’ perspective, dogs were formidable instruments in the subjugation of the native peoples they came across at various times over more than 500 years of American colonialization. But the indigenous narratives of these first contacts with dogs may exhibit distinct perspectives that view dogs not only as weapons, instruments, or tools of conquest but rather as agents or actors smoothing contact and establishing peaceful relations between Indians and non-Indians. This article explores the narratives of the first dogs encountered by two native populations in southwestern Brazilian Amazonia—the Puruborá and the Karitiana in the state of Rondônia—to demonstrate the canine agency behind the interethnic meetings in this region, where dogs were largely absent until the arrival of the Europeans and their descendants beginning in the sixteenth century. First contacts between Indians and non-Indians are complex inter-specific events, and may extend beyond only two participants (a group of non-Indians and a native people) to include at least three parties, since the actions and dispositions of dogs play a crucial role in the development of human interactions. Recollections of the first dogs encountered by the Puruborá and Karitiana point precisely toward recognizing the importance of the animal's presence as an actor, far beyond a mere instrument.     

Cellular cholesterol homeostasis and Alzheimer's disease: Thematic Review Series: ApoE and Lipid Homeostasis in Alzheimer's Disease

Alzheimer's disease (AD) is the most common form of dementia in older adults. Currently, there is no cure for AD. The hallmark of AD is the accumulation of extracellular amyloid plaques composed of amyloid-β (Aβ) peptides (especially Aβ1-42) and neurofibrillary tangles, composed of hyperphosphorylated tau and accompanied by chronic neuroinflammation. Aβ peptides are derived from the amyloid precursor protein (APP). The oligomeric form of Aβ peptides is probably the most neurotoxic species; its accumulation eventually forms the insoluble and aggregated amyloid plaques. ApoE is the major apolipoprotein of the lipoprotein(s) present in the CNS. ApoE has three alleles, of which the Apoe4 allele constitutes the major risk factor for late-onset AD. Here we describe the complex relationship between ApoE4, oligomeric Aβ peptides, and cholesterol homeostasis. The review consists of four parts: 1) key elements involved in cellular cholesterol metabolism and regulation; 2) key elements involved in intracellular cholesterol trafficking; 3) links between ApoE4, Aβ peptides, and disturbance of cholesterol homeostasis in the CNS; 4) potential lipid-based therapeutic targets to treat AD. At the end, we recommend several research topics that we believe would help in better understanding the connection between cholesterol and AD for further investigations.     

Integrating genetic and epidemiological data to determine transmission pathways of foot-and-mouth disease virus

Estimating detailed transmission trees that reflect the relationships between infected individuals or populations during a disease outbreak often provides valuable insights into both the nature of disease transmission and the overall dynamics of the underlying epidemiological process. These trees may be based on epidemiological data that relate to the timing of infection and infectiousness, or genetic data that show the genetic relatedness of pathogens isolated from infected individuals. Genetic data are becoming increasingly important in the estimation of transmission trees of viral pathogens due to their inherently high mutation rate. Here, we propose a maximum-likelihood approach that allows epidemiological and genetic data to be combined within the same analysis to infer probable transmission trees. We apply this approach to data from 20 farms infected during the 2001 UK foot-and-mouth disease outbreak, using complete viral genome sequences from each infected farm and information on when farms were first estimated to have developed clinical disease and when livestock on these farms were culled. Incorporating known infection links due to animal movement prior to imposition of the national movement ban results in the reduction of the number of trees from 41472 that are consistent with the genetic data to 1728, of which just 4 represent more than 95% of the total likelihood calculated using a model that accounts for the epidemiological data. These trees differ in several ways from those constructed prior to the availability of genetic data.     

Modeling ensembles of transmembrane beta-barrel proteins

Transmembrane beta-barrel (TMB) proteins are embedded in the outer membrane of gram-negative bacteria, mitochondria, and chloroplasts. Despite their importance, very few nonhomologous TMB structures have been determined by X-ray diffraction because of the experimental difficulty encountered in crystallizing transmembrane proteins. We introduce the program partiFold to investigate the folding landscape of TMBs. By computing the Boltzmann partition function, partiFold estimates inter-beta-strand residue interaction probabilities, predicts contacts and per-residue X-ray crystal structure B-values, and samples conformations from the Boltzmann low energy ensemble. This broad range of predictive capabilities is achieved using a single, parameterizable grammatical model to describe potential beta-barrel supersecondary structures, combined with a novel energy function of stacked amino acid pair statistical potentials. PartiFold outperforms existing programs for inter-beta-strand residue contact prediction on TMB proteins, offering both higher average predictive accuracy as well as more consistent results. Moreover, the integration of these contact probabilities inside a stochastic contact map can be used to infer a more meaningful picture of the TMB folding landscape, which cannot be achieved with other methods. Partifold's predictions of B-values are competitive with recent methods specifically designed for this problem. Finally, we show that sampling TMBs from the Boltzmann ensemble matches the X-ray crystal structure better than single structure prediction methods. A webserver running partiFold is available at http://partiFold.csail.mit.edu/.     

Review: microbial mechanisms of accessing insoluble Fe(III) as an energy source

Of all the terminal electron acceptors, Fe(III) is the most naturally abundant in many subsurface environments. Fe(III)-reducing microorganisms are phylogenetically diverse and have been isolated from a variety of sources. Unlike most electron acceptors, Fe(III) has a very low solubility and is usually present as insoluble oxides at neutral pH. The mechanisms by which microorganisms access and reduce insoluble Fe(III) are poorly understood. Initially, it was considered that microorganisms could only reduce insoluble Fe(III) through direct contact with the oxide. However, recent studies indicate that extracellular electron shuttling or Fe(III)-chelating compounds may alleviate the need for cell–oxide contact. These include microbially secreted compounds or exogenous electron shuttling agents, mainly from humic substances. Electron shuttling via humic substances is likely a significant process for Fe(III) reduction in subsurface environments. This paper reviews the various mechanisms by which Fe(III) reduction may be occurring in pure culture and in soils and sediments.     

Cortisol and behavioral responses to enrichment in military working dogs

Our objective was to compare the effects of two schedules of enrichment exposure, a distributed (high frequency) and regular regime versus a mass (low frequency) and irregular regime, on the cortisol and behavioral responses of 14 kennelled military working dogs. The enrichment experiences were exercise coupled with human contact. Both groups of dogs were exposed to approximately the same total amount of enrichment per week for a total of 7 weeks. The distributed and regular regime (DRR) furnished enrichment for 20-min intervals three to four times a day every weekday; the mass and irregular regime (MIR) randomly furnished enrichment for 16 or 24 continuous hours 1 day out of 5. Our data show that: (1) cortisol concentrations of DRR dogs significantly decreased between the first and the last week of observations; this was not the case in MIR dogs; (2) at the 7th week DRR dogs had lower cortisol concentrations than did MIR dogs; (3) all dogs in each group exhibited stereotypies. Our results suggest that MIR dogs underwent a decline in welfare throughout the experiment, whereas DRR dogs appeared to undergo a period of acute stress at the beginning of their training that resolved over 7 weeks. This study suggests that the welfare of kennelled dogs, particularly military working dogs, is affected among other factors by schedules of exercise and contact with people.     

Native secondary structure topology has near minimum contact energy among all possible geometrically constrained topologies

Secondary structure topology in this article refers to the order and the direction of the secondary structures, such as helices and strands, with respect to the protein sequence. Even when the locations of the secondary structure Cα atoms are known, there are still (N!2^N)(M!2^M) different possible topologies for a protein with N helices and M strands. This work explored the question if the native topology is likely to be identified among a large set of all possible geometrically constrained topologies through an evaluation of the residue contact energy formed by the secondary structures, instead of the entire chain. We developed a contact pair specific and distance specific multiwell function based on the statistical characterization of the side chain distances of 413 proteins in the Protein Data Bank. The multiwell function has specific parameters to each of the 210 pairs of residue contacts. We illustrated a general mathematical method to extend a single well function to a multiwell function to represent the statistical data. We have performed a mutation analysis using 50 proteins to generate all the possible geometrically constrained topologies of the secondary structures. The result shows that the native topology is within the top 25% of the list ranked by the effective contact energies of the secondary structures for all the 50 proteins, and is within the top 5% for 34 proteins. As an application, the method was used to derive the structure of the skeletons from a low resolution density map that can be obtained through electron cryomicroscopy. Proteins 2009. © 2009 Wiley‐Liss, Inc.