The main characteristics of the aquasoils of the Ussuri Bay of the Sea of Japan

The manuscript presents the main characteristics of aquasoils (granulometric composition, organic carbon, acid-base properties, total nitrogen) of the shelf zone of the Ussuri Bay of the Sea of Japan. A clear relationship between the content of organic carbon and fractions of granulometric composition in the studied samples was revealed. The excess of the maximum permissible concentrations values for lead was detected for only one point. The rest of the aquasoils are not contaminated with lead

Positive experience in the application of soil- and carbon-saving agricultural technologies with the introduction of biochar in the conditions of the Russian Far East

Based on the positive results of a long-term field experiment on the introduction of bio-coal for vegetable crops in the Primorsky Territory on soils of heavy chemical composition, its sequestration effect and positive effect on the water-physical properties of soils were proved. After the first year of application of biochar, a significant decrease in CO2 flux in the field without a drainage system was shown by 4.5% at a dose of 1 kg/m2 of biochar and by 36.6% at a dose of 3 kg/m2 of biochar compared with a site without biochar. The decrease in CO2 flux indicates the reclamation effect of biochar due to its high sorption properties affecting the sequestration capacity of the soil. After the second year of application of biochar, the greatest decrease in CO2 flux was observed when 1 kg/m2 was applied. The greatest difference between the values of the CO2 flux at the control site and the sites with the introduction of biochar was noted in September after the abnormal amount of precipitation recorded in August (521 mm). So, at the control site in September, the CO2 flux was 2,276 mg CO2 m-2 h-1, at the site with the addition of 1 kg/m2 of biochar, the CO2 flux was 560 mg CO2 m-2 h-1, at the site with the addition of 3 kg/m2 – 975 mg CO2 m-2 h-1

Simulating Russia’s and other large economies’ challenging and interconnected transitions

This paper develops a large-scale, dynamic life-cycle model to simulate Russia’s demographic and fiscal transition under favorable and unfavorable fossil-fuel price regimes. The model includes Russia, the U.S., China, India, the EU, and Japan+ (Japan plus Korea). The model predicts dramatic increases in tax rates in the U.S., EU, India, and Russia. Indeed, the increases are so large as to question their political feasibility let alone their actual collection given the potential for tax avoidance and tax evasion.http://kotlikoff.net/articlesFirst author draf

Parallel Affinity-Based Isolation of Leukocyte Subsets Using Microfluidics: Application for Stroke Diagnosis

We report the design and performance of a polymer microfluidic device that can affinity select multiple types of biological cells simultaneously with sufficient recovery and purity to allow for the expression profiling of mRNA isolated from these cells. The microfluidic device consisted of four independent selection beds with curvilinear channels that were 25 μm wide and 80 μm deep and were modified with antibodies targeting antigens specifically expressed by two different cell types. Bifurcated and Z-configured device geometries were evaluated for cell selection. As an example of the performance of these devices, CD4+ T-cells and neutrophils were selected from whole blood as these cells are known to express genes found in stroke-related expression profiles that can be used for the diagnosis of this disease. CD4+ T-cells and neutrophils were simultaneously isolated with purities >90% using affinity-based capture in cyclic olefin copolymer (COC) devices with a processing time of ∼3 min. In addition, sufficient quantities of the cells could be recovered from a 50 μL whole blood input to allow for reverse transcription-polymerase chain reaction (RT-PCR) following cell lysis. The expression of genes from isolated T-cells and neutrophils, such as S100A9, TCRB, and FPR1, was evaluated using RT-PCR. The modification and isolation procedures demonstrated here can also be used to analyze other cell types as well where multiple subsets must be interrogated

Regulatory subunits of PKA define an axis of cellular proliferation/differentiation in ovarian cancer cells

<p>Abstract</p> <p>Background</p> <p>The regulatory subunit of cAMP-dependent protein kinase (PKA) exists in two isoforms, RI and RII, which distinguish the PKA isozymes, type I (PKA-I) and type II (PKA-II). Evidence obtained from a variety of different experimental approaches has shown that the relative levels of type I and type II PKA in cells can play a major role in determining the balance between cell growth and differentiation. In order to characterize the effect of PKA type I and type II regulatory subunits on gene transcription at a global level, the PKA regulatory subunit genes for RIα and RIIβ were stably transfected into cells of the ovarian cancer cell line (OVCAR8).</p> <p>Results</p> <p>RIα transfected cells exhibit hyper-proliferative growth and RIIβ transfected cells revert to a relatively quiescent state. Profiling by microarray revealed equally profound changes in gene expression between RIα, RIIβ, and parental OVCAR cells. Genes specifically up-regulated in RIα cells were highly enriched for pathways involved in cell growth while genes up-regulated in RIIβ cells were enriched for pathways involved in differentiation. A large group of genes (~3600) was regulated along an axis of proliferation/differentiation between RIα, parental, and RIIβ cells. RIα/wt and RIIβ/wt gene regulation was shown by two separate and distinct gene set analytical methods to be strongly cross-correlated with a generic model of cellular differentiation.</p> <p>Conclusion</p> <p>Overexpression of PKA regulatory subunits in an ovarian cancer cell line dramatically influences the cell phenotype. The proliferation phenotype is strongly correlated with recently identified clinical biomarkers predictive of poor prognosis in ovarian cancer suggesting a possible pivotal role for PKA regulation in disease progression.</p

COVID19 Disease Map, a computational knowledge repository of virus-host interaction mechanisms.

Funder: Bundesministerium für Bildung und ForschungFunder: Bundesministerium für Bildung und Forschung (BMBF)We need to effectively combine the knowledge from surging literature with complex datasets to propose mechanistic models of SARS-CoV-2 infection, improving data interpretation and predicting key targets of intervention. Here, we describe a large-scale community effort to build an open access, interoperable and computable repository of COVID-19 molecular mechanisms. The COVID-19 Disease Map (C19DMap) is a graphical, interactive representation of disease-relevant molecular mechanisms linking many knowledge sources. Notably, it is a computational resource for graph-based analyses and disease modelling. To this end, we established a framework of tools, platforms and guidelines necessary for a multifaceted community of biocurators, domain experts, bioinformaticians and computational biologists. The diagrams of the C19DMap, curated from the literature, are integrated with relevant interaction and text mining databases. We demonstrate the application of network analysis and modelling approaches by concrete examples to highlight new testable hypotheses. This framework helps to find signatures of SARS-CoV-2 predisposition, treatment response or prioritisation of drug candidates. Such an approach may help deal with new waves of COVID-19 or similar pandemics in the long-term perspective