BCG-induced granulomatous pulmonary inflammation and splenomegaly in mice: A T-cell-dependent response

When C57BL/6 mice were injected iv with BCG in an oil-in-saline emulsion, they developed intense pulmonary granulomatous inflammation (PGI) and splenomegaly as well as chemotactic activity for macrophages and angiotensin-converting enzyme (ACE) in their lung fluids. PGI, splenomegaly, and levels of chemotactic activity and ACE were markedly reduced in T-cell-deficient “B” mice. The capacity to develop PGI was fully restored and splenomegaly was partially restored in “B” mice by the provision of syngeneic thymocytes, spleen cells, or purified T cells. These results indicate that the full expression of BCG-induced PGI is dependent upon thymus-derived cells and is associated with high levels of chemotactic activity for macrophages and ACE in the lung lavage fluid. Although BCG-induced splenomegaly appears to be T cell dependent, it did not reach its full magnitude in reconstituted “B” mice.     

The rhetoric of Islamophobia: an analysis of the means of persuasion in Hege Storhaug’s writings on Islam and Muslims

Few actors have had a greater impact on the “framing of Muslims” as a social and political “problem” in Norway since 2001 than Hege Storhaug of the government- and corporate billionaire funded civil society organization Human Rights Service (HRS). Using the methodological tools of the “rhetorical branch” of Critical Discourse Analysis (CDA), and applying the Aristotelian concepts of ethos, logos and pathos, we analyze the bestselling popular title on Islam and Muslims ever published in Norway, namely Storhaug’s self-published 2015 title “Islam – The Eleventh Plague”. We argue that Storhaug’s popular success must be understood in light of her rhetorical appeals to femonationalism, the critique of religion and “Enlightenment” values. We show how she in her writings incites fear of the Muslim “Other” through specific rhetorical devices and a positioning of herself as a defender of the “nation” and the “people” – against national and international “elites”.     

Web-based telemicroscopy

By taking advantage of network-based computing and the recent developments in Web interfaces, centralized research facilities housing specialized and unique imaging instruments along with associated high-performance computing can be made available to researchers for use from their own laboratories. In addition to increasing access and utilization of these facilities, operation over the Internet is expected to enhance research by facilitating collaboration between researchers. We describe the implementation of a platform-independent Web-based system written in Java that supplements automated functions with video-guided interactive, collaborative remote control and data acquisition from an intermediate-high-voltage electron microscope.     

Virtual resource development in the glycosciences

The development of Internet-based virtual resources is a relatively new area of scientific and technical activity that is currently undergoing rapid expansion. Major factors fuelling recent growth include the emergence of multimedia capabilities through the rapid evolution of the World Wide Web, the reduction in cost of high quality personal computers and graphics workstations and the provision of mass-marketed provider services. Prior to 1995 the presence of Internet resources in the glycosciences was virtually non-existent. Existing scientific knowledge was primarily made available on the Net through the provision of databases from gopher and ftp sites. A particular example in the glycosciences is the Carbbank database of biological carbohydrate sequences. We will describe here our efforts in 1994–95 in establishing The Glycoscience Network (TGN, http://bellatrix.pcl.ox.ac.uk/TGN/). These activities included the establishment of a newsgroup, mailing lists, Web resources and the running of the First Electronic Glycoscience Conference (EGC-1, http://bellatrix.pcl.ox.ac.uk/egc/). EGC-1 included many novel initiatives in the glycosciences including electronic posters and papers, a Virtual Conference Centre, a Web-based hyperglossary, Virtual Trade and Employment Centres, refereed electronic publishing, and the creation of a Virtual Reality Gallery. We would like to look towards the near future and discuss several initiatives in virtual resource creation that we believe will have significant scientific impact on the glycosciences including the development of bioinformatics-based servers, sophisticated interactive databases, and videoconferencing. Furthermore, we cherish the belief that these resources will foster international scientific collaboration and progress of an extent never previously possible. Finally, we indulge in speculation and make some suggestions on the form and long-term impact of Glycoscience Virtual Resources. We predict that their development may completely reconstruct the scientific environment that we work in as scientists and we reflect on the probable benefits and pitfalls to be encountered.This paper was presented at the First Electronic Glycoscience Conference (EGCI) on the World Wide Web, September 1995.     

Structural dynamics bridge the gap between the genetic and functional levels of GPCRs

G protein–coupled receptors (GPCRs) are implicated in nearly all physiological processes in the human body and represent an important drug targeting class. The genes encoding the different GPCR (sub)types determine their specific functionality, which can be altered by natural genetic variants and isoforms. Deciphering the molecular link between sequence diversity and its functional consequences is a current challenge and critical for the comprehension of the physiological response of GPCRs. It requires a global understanding of how protein sequence translates into protein structure, how this impacts the structural motions of the protein, and, finally, how all these factors determine the receptor functionality. Here, we discuss available resources and state-of-the-art computational approaches to address this question.     

Lymphokine and phorbol (PMA) regulation of complement (C2) synthesis using U937

Human monocytes synthesize large amounts of the second complement component (C2) after incubation with a T-lymphocyte product called monocyte complement stimulator (MCS). The human monocyte-like cell line, U937, also synthesizes C2 and can be stimulated to increase this synthesis by lymphokine-rich culture supernates. Additionally, phorbol myristate acetate (PMA), an agent which induces maturational changes in other macrophage-like cell lines, also stimulates C2 synthesis by U937 cells. Lymphokine and PMA stimulation of C2 secretion by U937 are both reversibly inhibitable by cycloheximide. At optimal concentrations for stimulation of C2 synthesis, PMA inhibits [³H]thymidine incorporation by U937 indicating that increased C2 is not due to increased numbers of U937 cells.     

QoS-based Architectures for Geographically Replicated Web Servers

In this paper, we discuss strategies for providing World Wide Web service users with adequate Quality of Service (QoS). We argue that QoS can be provided by distributing the service requests processing load among replicated Web servers (WSs), that can be geographically distributed across the Internet. In order to support our argument, we compare and contrast several load distribution strategies, and assess their effectivness when deployed within the context of a geographically replicated Web service; the principal figure of merit we use in this assessment is the response time experienced by the users of that service. As a result of this comparison, we propose a specific strategy, named QoS-based, that implements load distribution among WS replicas by binding a user to the replica that provides the shortest user response time. We examine several architectures that exploit our QoS-based strategy. Two of these architectures, named, respectively, Browser-based and Load Distribution-based, are described in detail as they are particularly appropriate for implementing our strategy.     

DeepNitro: Prediction of Protein Nitration and Nitrosylation Sites by Deep Learning

Protein nitration and nitrosylation are essential post-translational modifications(PTMs)involved in many fundamental cellular processes. Recent studies have revealed that excessive levels of nitration and nitrosylation in some critical proteins are linked to numerous chronic diseases.Therefore, the identification of substrates that undergo such modifications in a site-specific manner is an important research topic in the community and will provide candidates for targeted therapy. In this study, we aimed to develop a computational tool for predicting nitration and nitrosylation sites in proteins. We first constructed four types of encoding features, including positional amino acid distributions, sequence contextual dependencies, physicochemical properties, and position-specificscoring features, to represent the modified residues. Based on these encoding features, we established a predictor called DeepNitro using deep learning methods for predicting protein nitration and nitrosylation. Using n-fold cross-validation, our evaluation shows great AUC values for DeepNitro, 0.65 for tyrosine nitration, 0.80 for tryptophan nitration, and 0.70 for cysteine nitrosylation, respectively,demonstrating the robustness and reliability of our tool. Also, when tested in the independent dataset, DeepNitro is substantially superior to other similar tools with a 7%à42% improvement in the prediction performance. Taken together, the application of deep learning method and novel encoding schemes, especially the position-specific scoring feature, greatly improves the accuracy of nitration and nitrosylation site prediction and may facilitate the prediction of other PTM sites. DeepNitro is implemented in JAVA and PHP and is freely available for academic research at http://deepnitro.renlab.org.