21 research outputs found
Interactions between Type 1 Interferons and the Th17 Response in Tuberculosis: Lessons Learned from Autoimmune Diseases
textabstractThe classical paradigm of tuberculosis (TB) immunity, with a central protective role for Th1 responses and IFN-γ-stimulated cellular responses, has been challenged by unsatisfactory results of vaccine strategies aimed at enhancing Th1 immunity. Moreover, preclinical TB models have shown that increasing IFN-γ responses in the lungs is more damaging to the host than to the pathogen. Type 1 interferon signaling and altered Th17 responses have also been associated with active TB, but their functional roles in TB pathogenesis remain to be established. These two host responses have been studied in more detail in autoimmune diseases (AID) and show functional interactions that are of potential interest in TB immunity. In this review, we first identify the role of type 1 interferons and Th17 immunity in TB, followed by an overview of interactions between these responses observed in systemic AID. We discuss (i) the effects of GM-CSF-secreting Th17.1 cells and type 1 interferons on CCR2+ monocytes; (ii) convergence of IL-17 and type 1 interferon signaling on stimulating B-cell activating factor production and the central role of neutrophils in this process; and (iii) synergy between IL-17 and type 1 interferons in the generation and function of tertiary lymphoid structures and the associated follicular helper T-cell responses. Evaluation of these autoimmune-related pathways in TB pathogenesis provides a new perspective on recent developments in TB research
A remark on the disconnected nature of Lagrange equations in the context of a linear-scaling implementation of the coupled-cluster energy gradients
Spectral purity and tunability of terahertz quantum cascade laser sources based on intracavity difference-frequency generation
Snowmass White Paper: Quantum Computing Systems and Software for High-energy Physics Research
Quantum computing offers a new paradigm for advancing high-energy physics research by enabling novel methods for representing and reasoning about fundamental quantum mechanical phenomena. Realizing these ideals will require the development of novel computational tools for modeling and simulation, detection and classification, data analysis, and forecasting of high-energy physics (HEP) experiments. While the emerging hardware, software, and applications of quantum computing are exciting opportunities, significant gaps remain in integrating such techniques into the HEP community research programs. Here we identify both the challenges and opportunities for developing quantum computing systems and software to advance HEP discovery science. We describe opportunities for the focused development of algorithms, applications, software, hardware, and infrastructure to support both practical and theoretical applications of quantum computing to HEP problems within the next 10 years
HDAC inhibition by LBH589 affects the phenotype and function of human myeloid dendritic cells
Human Dendritic Cell Maturation by Adenovirus Transduction Enhances Tumor Antigen-Specific T-Cell Responses
Pseudomonas endophytica sp. nov., isolated from stem tissue of Solanum tuberosum L. in Spain
8 páginas, 2 tablas y 2 figuras. We, (the authors), acknowledge IDEBIO S. L. and Dr P. GarcÃa-Benavides and Dr J. L. Palomo for their help and support. M.H.R.B. is the recipient of a JAE-Doc researcher contract from CSIC cofinanced by ERDF. We are grateful to V. Souza-Egipsy from ICA Electron Microscopy Service.A bacterial strain named BSTT44T was isolated in the course of a study of endophytic bacteria
occurring in stems and roots of potato growing in a soil from Salamanca, Spain. The 16S rRNA
gene sequence had 99.7% identity with respect to that of its closest relative, Pseudomonas
psychrophila E-3T, and the next most closely related type strains were those of Pseudomonas
fragi, with 99.6% similarity, Pseudomonas deceptionensis, with 99.2% similarity, and
Pseudomonas lundensis, with 99.0% similarity; these results indicate that BSTT44T should be
classified within the genus Pseudomonas. Analysis of the housekeeping genes rpoB, rpoD and
gyrB confirmed its phylogenetic affiliation and showed identities lower than 92% in all
cases with respect to the above-mentioned closest relatives. Cells of the strain bore one
polar–subpolar flagellum. The respiratory quinone was Q-9.The major fatty acids were C16:0,
C18:1v7c and summed feature 3 (C16:1v7c and/or C16:1v6c). The strain was oxidase-,
catalase- and urease-positive and the arginine dihydrolase system was present, but tests for
nitrate reduction, b-galactosidase production and aesculin hydrolysis were negative. It could
grow at 35 8C and at pH 5–9.The DNA G+C content was 60.2 mol%. DNA–DNA hybridization
results showed less than 48% relatedness with respect to the type strains of the four most
closely related species. Therefore, the combined results of genotypic, phenotypic and
chemotaxonomic analyses support the classification of strain BSTT44 into a novel species of
the genus Pseudomonas, for which the name Pseudomonas endophytica sp. nov. is proposed.
The type strain is BSTT44T (5LMG 28456T5CECT 8691T).Project CSI327A12-2Peer reviewe