Integrative analysis of miRNA and mRNA sequencing data reveals potential regulatory mechanisms of ACE2 and TMPRSS2
Development of novel approaches for regulating the expression of angiotensin-converting enzyme 2 (ACE2) and transmembrane serine protease 2 (TMPRSS2) is becoming increasingly important within the context of the ongoing COVID-19 pandemic since these enzymes play a crucial role in cell infection. In this work we searched for putative ACE2 and TMPRSS2 expression regulation networks mediated by various miRNA isoforms (isomiR) across different human organs using publicly available paired miRNA/mRNA-sequencing data from The Cancer Genome Atlas (TCGA) project. As a result, we identified several miRNA families targeting ACE2 and TMPRSS2 genes in multiple tissues. In particular, we found that lysine-specific demethylase 5B (JARID1B), encoded by the KDM5B gene, can indirectly affect ACE2 / TMPRSS2 expression by repressing transcription of hsa-let-7e / hsa-mir-125a and hsa-mir-141 / hsa-miR-200 miRNA families which are targeting these genes.
The global economy passes the COVID-19 related crises. For various projections, the output fall in Russia in 2020 will vary from 2 to 8 percent. So, in comparison with the crises of 1998 and 2008, the current shock can be more severe. In the upcoming years the Russian economy will pass the recovery stage, approaching the new balanced growth path. What proximate sources would push this growth?
With the neoclassical industry growth accounting and the Russia KLEMS dataset the present report aims to shed light on this, considering the growth patterns and sources of growth after the crises of 1998 and 2008. The report unveils the most important sources of the after-2008 stagnation in Russia, which are the decreasing efficiency of the extended oil and gas sector and the suspension of technology convergence. Since the recovery in Russia will be, most probably, caused by the increasing demand on energy and raw materials, driven by the recovery of global markets, policy implications for Russia should include efforts to improve efficiency in such export-oriented sectors, as oil and gas, and efforts, which aim to boost technology convergence such as backing export-oriented firms, which have been integrated to global value chains.
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.
In the article, the authors analyze the nature of the genesis and features of the spread of false information under the coronavirus infection COVID-19’s outbreak. An original classification of fakes distributed during the period of infodemia with an attempt to identify beneficiaries of media activity, indicators of fake information, as well as the summary of the most famous models for the spread of fake information on social networks, is given
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.
Specificity of RNAi to selected target is challenged by off-target effects, both canonical and non-canonical. Notably, more than half of all human microRNAs are co-expressed with hosting them proteincoding genes. Here we dissect regulatory subnetwork centered on IGFBP6 gene, which is associated with low proliferative state and high migratory activity of basal-like breast cancer. We inhibited expression of IGFBP6 gene in a model cell line for basal-like breast carcinoma MDA-MB-231, then traced secondary and tertiary effects of this knockdown to LAMA4, a laminin encoding gene that contributes to the phenotype of triple-negative breast cancer. LAMA4-regulating miRNA miR-4274 and its host gene SORCS2 were highlighted as intermediate regulators of the expression levels of LAMA4, which correlated in a basal-like breast carcinoma sample subset of TCGA to the levels of SORCS2 negatively. Overall, our study points that the secondary and tertiary layers of regulatory interactions are certainly underappreciated. As these types of molecular event may significantly contribute to the formation of the cell phenotypes after RNA interference based knockdowns, further studies of multilayered molecular networks affected by RNAi are warranted.
All world upward trends and cycles have a lot in common while crises significantly differ. In the case of this research the recession was sparked not by the shock of financial sector but by the restrictions imposed on consumption that previously was not inclined to fluctuate that much. Oil price shock has increased negative influence on the world energy market and economy overall. The decline in employment and personal consumption has struck more on most vulnerable social classes but the decreased volume of demand can be also attributed to the wealth (catering, tourism and others). Once began, the recession develops by its own rules — a sharp fall in the world trade, fixed capital formation, growth of budget deficits, and particularly strong impact on developing countries most dependent on tourism and financial assistance.
Keywords: pandemic, coronavirus, COVID-19, business cycle, social inequality, personal consumption, capital formation, finance.
JEL: A14, D11, F02, T32.
One of the key advances in genome assembly that has led to a significant improvement in contig lengths has been improved algorithms for utilization of paired reads (mate-pairs). While in most assemblers, mate-pair information is used in a post-processing step, the recently proposed Paired de Bruijn Graph (PDBG) approach incorporates the mate-pair information directly in the assembly graph structure. However, the PDBG approach faces difficulties when the variation in the insert sizes is high. To address this problem, we first transform mate-pairs into edge-pair histograms that allow one to better estimate the distance between edges in the assembly graph that represent regions linked by multiple mate-pairs. Further, we combine the ideas of mate-pair transformation and PDBGs to construct new data structures for genome assembly: pathsets and pathset graphs.
Papers about natural protection territories
Many environmental stimuli present a quasi-rhythmic structure at different timescales that the brain needs to decompose and integrate. Cortical oscillations have been proposed as instruments of sensory de-multiplexing, i.e., the parallel processing of different frequency streams in sensory signals. Yet their causal role in such a process has never been demonstrated. Here, we used a neural microcircuit model to address whether coupled theta–gamma oscillations, as observed in human auditory cortex, could underpin the multiscale sensory analysis of speech. We show that, in continuous speech, theta oscillations can flexibly track the syllabic rhythm and temporally organize the phoneme-level response of gamma neurons into a code that enables syllable identification. The tracking of slow speech fluctuations by theta oscillations, and its coupling to gamma-spiking activity both appeared as critical features for accurate speech encoding. These results demonstrate that cortical oscillations can be a key instrument of speech de-multiplexing, parsing, and encoding.
Neuronal nicotinic acetylcholine receptors (NNRs) of the α7 subtype have been shown to contribute to the release of dopamine in the nucleus accumbens. The site of action and the underlying mechanism, however, are unclear. Here we applied a circuit modeling approach, supported by electrochemical in vivo recordings, to clarify this issue. Modeling revealed two potential mechanisms for the drop in accumbal dopamine efflux evoked by the selective α7 partial agonist TC-7020. TC-7020 could desensitize α7 NNRs located predominantly on dopamine neurons or glutamatergic afferents to them or, alternatively, activate α7 NNRs located on the glutamatergic afferents to GABAergic interneurons in the ventral tegmental area. Only the model based on desensitization, however, was able to explain the neutralizing effect of coapplied PNU-120596, a positive allosteric modulator. According to our results, the most likely sites of action are the preterminal α7 NNRs controlling glutamate release from cortical afferents to the nucleus accumbens. These findings offer a rationale for the further investigation of α7 NNR agonists as therapy for diseases associated with enhanced mesolimbic dopaminergic tone, such as schizophrenia and addiction