Potential role of cellular miRNAs in coronavirus-host interplay
Host miRNAs are known as important regulators of virus replication and pathogenesis. They can interact with various viruses through several possible mechanisms including direct binding of viral RNA. Identification of human miRNAs involved in coronavirus-host interplay becomes important due to the ongoing COVID-19 pandemic. In this article we performed computational prediction of high-confidence direct interactions between miRNAs and seven human coronavirus RNAs. As a result, we identified six miRNAs (miR-21-3p, miR-195-5p, miR-16-5p, miR-3065-5p, miR-424-5p and miR-421) with high binding probability across all analyzed viruses. Further bioinformatic analysis of binding sites revealed high conservativity of miRNA binding regions within RNAs of human coronaviruses and their strains. In order to discover the entire miRNA-virus interplay we further analyzed lungs miRNome of SARS-CoV infected mice using publicly available miRNA sequencing data. We found that miRNA miR-21-3p has the largest probability of binding the human coronavirus RNAs and being dramatically up-regulated in mouse lungs during infection induced by SARS-CoV.
The coronavirus epidemic caused not only an explosion of attention in Russian public communication, but the media discourse content also transformed radically during the first months of the 2020 epidemic: from distrust and panic to responsible balanced content. An analysis of this phenomenon allows for a deeper understanding of the evolution of the value-normative characteristics of modern society broadcast in the media. There is a trend of a transition from ill-conceived propaganda of rights to a balance of rights and responsibilities as well as an increase of attention in public discourse to free speech. In addition, there is a trend towards a transition from the dominance of post-truth to manifestations of personal freedom as responsibility. The dynamics of the coronavirus discourse not only fit into this general civilizational trend, but they provided additional impulses for the trend’s further development. Such a shift in emphasis makes it useful to appeal to the concept of parrhesia - a free and responsible "taking the floor" (“word-taking”).
This work contains an express answer to four questions about what happened in the higher education system at the very beginning of the introduction of quarantine measures: (1) how have universities and the states reacted worldwide? (2) what are the reaction of Russian universities? (3) how do students and teachers perceive the situation? (4) Is there enough infrastructure to implement quarantine measures of remote work and training?
Most of the analytics were collected on an initiative basis, but the most important sections were written on the basis of data collected within the working group of the Russian Ministry of Education and Science to organize educational activities in the context of preventing the spread of COVID-19 infection in the Russian Federation under the leadership of the Department of Youth Policy (in terms of sociological student survey) and the Department of Information Technology in the field of science and higher education (in terms of monitoring infrastructure and opportunities Translation courses in distance learning). Data collection and analysis would not have been possible without cooperation with MIREA, as well as representatives of ITMO University, Ural Federal University, Tomsk State University and support from Mail.ru Group and the Association of Volunteer Centers.
This issue represents options for solving the problems that emerged in schools in connection with the switch to distant learning. The response of schools to the crisis is being analyzed in terms of teachers, who try to compensate their lack of professional skills, changes in curriculum, in work hours and duties of collaborators, overcoming the lack of funds and resources for distance learning, overcoming the deficit of constructive behavior with parents. In issue there is a special section with management recommendations for administrators of institutions and public education authorities.
The Arctic Council is well-positioned to play a leadership role in better understanding the impact of Covid-19 in the Arctic and spearheading activities to respond to the pandemic in the short-, medium- and longer-term. This briefing document was prepared to inform initial discussions regarding the coronavirus pandemic in the Arctic at the Senior Arctic Officials’ executive meeting (SAOX) on 24-25 June 2020. It draws together available information – to date (June 2020) – about the impact of Covid-19 in the Arctic: Briefing Document for SAOs June 2020 For public release Page 10 of 83 Covid-19 and the actions taken to respond in the Arctic region. The document draws from a wide spectrum of sources, reflecting the complex and intricate nature of how Covid-19 affects Arctic peoples and communities, including national and subnational statistical databases and tools, peer-reviewed articles, policy statements, technical guidelines, field surveys, and local observations from Arctic communities.
The coronavirus pandemic (SARS-CoV-2 or COVID-19, 2019nCoV), which, according to the Chinese office of the World Health Organization (WHO), began to spread from Wuhan no later than December 2019, now has secured its place among global security challenges. Scientists are trying to develop a vaccine against the 2019-nCoV virus, and WHO is helping them. According to the Nature magazine, in April 2020, more than 90 vaccines against SARS-CoV-2 were in the development of a number of pharmaceutical companies (for example, Moderna, Pfizer, Johnson & Johnson, GlaxoSmithKline) and research groups at universities around the world. Researchers tested various technologies, some of which had not previously been used in licensed vaccines. In this paper, we will try to outline some trends in the fight against the pandemic within the countries of the Iberian Peninsula, special attention will be paid to information coverage of this process and misinformation (fake news phenomenon)
Inflammatory breast cancer (IBC) is an extremely malignant form of breast cancer which can be easily misdiagnosed. Conclusive prognostic IBC molecular biomarkers which are also providing the perspectives for targeted therapy are lacking so far. The aim of this study was to reveal the IBC-specific miRNA expression profile and to evaluate its association with clinicopathological parameters.
miRNA expression profiles of 13 IBC and 17 non-IBC patients were characterized using comprehensive Affymetrix GeneChip miRNA 3.0 microarray platform. Bioinformatic analysis was used to reveal IBC-specific miRNAs, deregulated pathways and potential miRNA targets.
31 differentially expressed miRNAs characterize IBC and mRNAs regulated by them and their associated pathways can functionally be attributed to IBC progression. In addition, a minimal predictive set of 4 miRNAs characteristic for the IBC phenotype and associated with the TP53 mutational status in breast cancer patients was identified.
We have characterized the complete miRNome of inflammatory breast cancer and found differentially expressed miRNAs which reliably classify the patients to IBC and non-IBC groups. We found that the mRNAs and pathways likely regulated by these miRNAs are highly relevant to cancer progression. Furthermore a minimal IBC-related predictive set of 4 miRNAs associated with the TP53 mutational status and survival for breast cancer patients was identified.
A model for organizing cargo transportation between two node stations connected by a railway line which contains a certain number of intermediate stations is considered. The movement of cargo is in one direction. Such a situation may occur, for example, if one of the node stations is located in a region which produce raw material for manufacturing industry located in another region, and there is another node station. The organization of freight traﬃc is performed by means of a number of technologies. These technologies determine the rules for taking on cargo at the initial node station, the rules of interaction between neighboring stations, as well as the rule of distribution of cargo to the ﬁnal node stations. The process of cargo transportation is followed by the set rule of control. For such a model, one must determine possible modes of cargo transportation and describe their properties. This model is described by a ﬁnite-dimensional system of diﬀerential equations with nonlocal linear restrictions. The class of the solution satisfying nonlocal linear restrictions is extremely narrow. It results in the need for the “correct” extension of solutions of a system of diﬀerential equations to a class of quasi-solutions having the distinctive feature of gaps in a countable number of points. It was possible numerically using the Runge–Kutta method of the fourth order to build these quasi-solutions and determine their rate of growth. Let us note that in the technical plan the main complexity consisted in obtaining quasi-solutions satisfying the nonlocal linear restrictions. Furthermore, we investigated the dependence of quasi-solutions and, in particular, sizes of gaps (jumps) of solutions on a number of parameters of the model characterizing a rule of control, technologies for transportation of cargo and intensity of giving of cargo on a node station.
Event logs collected by modern information and technical systems usually contain enough data for automated process models discovery. A variety of algorithms was developed for process models discovery, conformance checking, log to model alignment, comparison of process models, etc., nevertheless a quick analysis of ad-hoc selected parts of a journal still have not get a full-fledged implementation. This paper describes an ROLAP-based method of multidimensional event logs storage for process mining. The result of the analysis of the journal is visualized as directed graph representing the union of all possible event sequences, ranked by their occurrence probability. Our implementation allows the analyst to discover process models for sublogs defined by ad-hoc selection of criteria and value of occurrence probability
Existing approaches suggest that IT strategy should be a reflection of business strategy. However, actually organisations do not often follow business strategy even if it is formally declared. In these conditions, IT strategy can be viewed not as a plan, but as an organisational shared view on the role of information systems. This approach generally reflects only a top-down perspective of IT strategy. So, it can be supplemented by a strategic behaviour pattern (i.e., more or less standard response to a changes that is formed as result of previous experience) to implement bottom-up approach. Two components that can help to establish effective reaction regarding new initiatives in IT are proposed here: model of IT-related decision making, and efficiency measurement metric to estimate maturity of business processes and appropriate IT. Usage of proposed tools is demonstrated in practical cases.