2,925 research outputs found
The Economic Impacts of the Regional Greenhouse Gas Initiative on Ten Northeast and Mid-Atlantic States
Assesses outcomes of the first U.S. market-based program to reduce emissions of carbon dioxide from power plants, including impact on electricity markets, power companies' costs, and consumer prices; use of auction proceeds; and states' economic benefits
Membrane heterogeneities in the formation of B cell receptorâLyn kinase microclusters and the immune synapse
Antigen binding to the B cell receptors (BCRs) induces BCR clustering, phosphorylation of BCRs by the Src family kinase Lyn, initiation of signaling, and formation of an immune synapse. We investigated B cells as they first encountered antigen on a membrane using live cell high resolution total internal reflection fluorescence microscopy in conjunction with fluorescence resonance energy transfer. Newly formed BCR microclusters perturb the local membrane microenvironment, leading to association with a lipid raft probe. This early event is BCR intrinsic and independent of BCR signaling. Association of BCR microclusters with membrane-tethered Lyn depends on Lyn activity and persists as microclusters accumulate and form an immune synapse. Membrane perturbation and BCRâLyn association correlate both temporally and spatially with the transition of microclustered BCRs from a âclosedâ to an âopenâ active signaling conformation. Visualization and analysis of the earliest events in BCR signaling highlight the importance of the membrane microenvironment for formation of BCRâLyn complexes and the B cell immune synapse
Distinct host cell proteins incorporated by SIV replicating in CD4+ T Cells from natural disease resistant versus non-natural disease susceptible hosts
<p>Abstract</p> <p>Background</p> <p>Enveloped viruses including the simian immunodeficiency virus (SIV) replicating within host cells acquire host proteins upon egress from the host cells. A number of studies have catalogued such host proteins, and a few have documented the potential positive and negative biological functions of such host proteins. The studies conducted herein utilized proteomic analysis to identify differences in the spectrum of host proteins acquired by a single source of SIV replicating within CD4<sup>+ </sup>T cells from disease resistant sooty mangabeys and disease susceptible rhesus macaques.</p> <p>Results</p> <p>While a total of 202 host derived proteins were present in viral preparations from CD4<sup>+ </sup>T cells from both species, there were 4 host-derived proteins that consistently and uniquely associated with SIV replicating within CD4<sup>+ </sup>T cells from rhesus macaques but not sooty mangabeys; and, similarly, 28 host-derived proteins that uniquely associated with SIV replicating within CD4<sup>+ </sup>T cells from sooty mangabeys, but not rhesus macaques. Of interest was the finding that of the 4 proteins uniquely present in SIV preparations from rhesus macaques was a 26 S protease subunit 7 (MSS1) that was shown to enhance HIV-1 'tat" mediated transactivation. Among the 28 proteins found in SIV preparations from sooty mangabeys included several molecules associated with immune function such as CD2, CD3Îľ, TLR4, TLR9 and TNFR and a bioactive form of IL-13.</p> <p>Conclusions</p> <p>The finding of 4 host proteins that are uniquely associated with SIV replicating within CD4<sup>+ </sup>T cells from disease susceptible rhesus macaques and 28 host proteins that are uniquely associated with SIV replicating within CD4<sup>+ </sup>T cells from disease resistant sooty mangabeys provide the foundation for determining the potential role of each of these unique host-derived proteins in contributing to the polarized clinical outcome in these 2 species of nonhuman primates.</p
Evacuation responsiveness by government organisations (ERGO):the evacuation preparedness assessment workbook
This Evacuation Preparedness Assessment Workbook (EPAW) is a tool to assess the level of preparedness of Government Organisations (GOs) for the mass evacuation of their public. It has its origins in the results of a three-year, EU-funded research project called Evacuation Preparedness by Government Organisations (ERGO) which sought to research and strengthen the preparedness activities for the evacuation of cities, regions or even countries. This EPAW presents a list of tasks to be carried out at the different phases of evacuation preparedness. It also provides an assessment facility to evaluate how much progress GOs have made against each task, as well as indications of standard and best practices for each task. A brief background to the need for evacuation, the ERGO project and the development of the workbook is given next. After this, the application process of the workbook is explained and illustrated with an example
Genome-wide association and high-resolution phenotyping link oryza sativa panicle traits to numerous trait-specific QTL clusters
Fundação de Amparo Ă Pesquisa do Estado de SĂŁo Paulo (FAPESP)Rice panicle architecture is a key target of selection when breeding for yield and grain quality. However, panicle phenotypes are difficult to measure and susceptible to confounding during genetic mapping due to correlation with flowering and subpopulation structure. Here we quantify 49 panicle phenotypes in 242 tropical rice accessions with the imaging platform PANorama. Using flowering as a covariate, we conduct a genome-wide association study (GWAS), detect numerous subpopulation-specific associations, and dissect multi-trait peaks using panicle phenotype covariates. Ten candidate genes in pathways known to regulate plant architecture fall under GWAS peaks, half of which overlap with quantitative trait loci identified in an experimental population. This is the first study to assess inflorescence phenotypes of field-grown material using a high-resolution phenotyping platform. Herein, we establish a panicle morphocline for domesticated rice, propose a genetic model underlying complex panicle traits, and demonstrate subtle links between panicle size and yield performance.Rice panicle architecture is a key target of selection when breeding for yield and grain quality. However, panicle phenotypes are difficult to measure and susceptible to confounding during genetic mapping due to correlation with flowering and subpopulatio710527FAPESP - FUNDAĂĂO DE AMPARO Ă PESQUISA DO ESTADO DE SĂO PAULOFundação de Amparo Ă Pesquisa do Estado de SĂŁo Paulo (FAPESP)2011/03110-
Recommended from our members
Statistical Workflow for Feature Selection in Human Metabolomics Data.
High-throughput metabolomics investigations, when conducted in large human cohorts, represent a potentially powerful tool for elucidating the biochemical diversity underlying human health and disease. Large-scale metabolomics data sources, generated using either targeted or nontargeted platforms, are becoming more common. Appropriate statistical analysis of these complex high-dimensional data will be critical for extracting meaningful results from such large-scale human metabolomics studies. Therefore, we consider the statistical analytical approaches that have been employed in prior human metabolomics studies. Based on the lessons learned and collective experience to date in the field, we offer a step-by-step framework for pursuing statistical analyses of cohort-based human metabolomics data, with a focus on feature selection. We discuss the range of options and approaches that may be employed at each stage of data management, analysis, and interpretation and offer guidance on the analytical decisions that need to be considered over the course of implementing a data analysis workflow. Certain pervasive analytical challenges facing the field warrant ongoing focused research. Addressing these challenges, particularly those related to analyzing human metabolomics data, will allow for more standardization of as well as advances in how research in the field is practiced. In turn, such major analytical advances will lead to substantial improvements in the overall contributions of human metabolomics investigations
Molecular Dynamics on Quantum Annealers
In this work we demonstrate a practical prospect of using quantum annealers
for simulation of molecular dynamics. A methodology developed for this goal,
dubbed Quantum Differential Equations (QDE), is applied to propagate classical
trajectories for the vibration of the hydrogen molecule in several regimes:
nearly harmonic, highly anharmonic, and dissociative motion. The results
obtained using the D-Wave 2000Q quantum annealer are all consistent and quickly
converge to the analytical reference solution. Several alternative strategies
for such calculations are explored and it was found that the most accurate
results and the best efficiency are obtained by combining the quantum annealer
with classical post-processing (greedy algorithm). Importantly, the QDE
framework developed here is entirely general and can be applied to solve any
system of first-order ordinary nonlinear differential equations using a quantum
annealer
Global analysis of patterns of gene expression during Drosophila embryogenesis
Embryonic expression patterns for 6,003 (44%) of the 13,659 protein-coding genes identified in the Drosophila melanogaster genome were documented, of which 40% show tissue-restricted expression
- âŚ