BLOEM: A spatially explicit model of bioenergy and carbon capture and storage,applied to Brazil

Bioenergy could play a major role in decarbonizing energy systems in the context of the Paris Agreement. Large-scale bioenergy deployment could be related to sustainability issues and requires major infrastructure investments. It, therefore, needs to be studied carefully. The Bioenergy and Land Optimization Spatially Explicit Model (BLOEM) presented here allows for assessing different bioenergy pathways while encompassing various dimensions that influence their optimal deployment. In this study, BLOEM was applied to the Brazilian context by coupling it with the Brazilian Land Use and Energy Systems (BLUES) model. This allowed investigating the most cost-effective ways of attending future bioenergy supply projections and studying the role of recovered degraded pasture lands in improving land availability in a sustainable and competitive manner. The results show optimizing for limiting deforestation and minimizing logistics costs results in different outcomes. It also indicates that recovering degraded pasture lands is attractive from both logistics and climate perspectives. The systemic approach of BLOEM provides spatial results, highlighting the trade-offs between crop allocation, land use and the logistics dynamics between production, conversion, and demand, providing valuable insights for regional and national climate policy design. This makes it a useful tool for mapping sustainable bioenergy value chain pathways.     

Biological activity of the antitumor protein neocarzinostatin coupled to a monoclonal antibody by N-succinimidyl 3-(2-pyridyldithio)-propionate

The chromophore free apoprotein of neocarzinostatin was coupled to monoclonal IgG₁ antibody using N-Succinimidyl 3-(2-pyridyldithio)-propionate as heterobifunctional reagent. After coupling active chromophore was reassociated with the apoprotein. We present here experimental evidence that the hybrid protein retains biological activity as measured by the degradation of T2-DNA and bacteriostatic action.     

HLA-DR alpha 2 mediates negative signalling via binding to Tirc7 leading to anti-inflammatory and apoptotic effects in lymphocytes in vitro and in vivo

Classically, HLA-DR expressed on antigen presenting cells (APC) initiates lymphocyte activation via presentation of peptides to TCR bearing CD4+ T-Cells. Here we demonstrate that HLA-DR alpha 2 domain (sHLA-DRalpha2) also induces negative signals by engaging TIRC7 on lymphocytes. This interaction inhibits proliferation and induces apoptosis in CD4+ and CD8+ T-cells via activation of the intrinsic pathway. Proliferation inhibition is associated with SHP-1 recruitment by TIRC7, decreased phosphorylation of STAT4, TCR-zeta chain & ZAP70, and inhibition of IFN-gamma and FasL expression. HLA-DRalpha2 and TIRC7 co-localize at the APC-T cell interaction site. Triggering HLA-DR - TIRC7 pathway demonstrates that sHLA-DRalpha2 treatment inhibits proinflammatory-inflammatory cytokine expression in APC & T cells after lipopolysaccaride (LPS) stimulation in vitro and induces apoptosis in vivo. These results suggest a novel antiproliferative role for HLA-DR mediated via TIRC7, revise the notion of an exclusive stimulatory interaction of HLA-DR with CD4+ T cells and highlights a novel physiologically relevant regulatory pathway.     

Sex-specific dynamics of global chromatin changes in fetal mouse germ cells

Mammalian germ cells undergo global reprogramming of DNA methylation during their development. Global DNA demethylation occurs around the time when the primordial germ cells colonize the embryonic gonads and this coincides with dynamic changes in chromatin composition. Global de novo DNA methylation takes place with remarkably different dynamics between the two sexes, prospermatogonia attaining methylation during fetal stages and oocytes attaining methylation postnatally. Our hypothesis was that dynamic changes in chromatin composition may precede or accompany the wave of global DNA de novo methylation as well. We used immunocytochemistry to measure global DNA methylation and chromatin components in male and female mouse fetal germ cells compared to control somatic cells of the gonad. We found that global DNA methylation levels sharply increased in male germ cells at 17.5 days post coitum, but remained low in female germ cells at all fetal stages. Global changes in chromatin composition: i, preceded global DNA methylation in fetal germ cells; ii, sex specifically occurred in male but not in female germ cells; iii, affected active and repressive histone marks and iv, included histone tail and histone globular domain modifications. Our data suggest that dynamic changes of chromatin composition may provide a framework for the pattern of male-specific de novo DNA methylation in prospermatogonia.     

Structural requirements of the unique disulphide bond and the proline-rich motif within the alpha4-alpha5 loop for larvicidal activity of the Bacillus thuringiensis Cry4Aa delta-endotoxin

Both the disulphide bond (Cys192-Cys199) and the proline-rich motif (Pro193ProAsnPro196) in the long loop connecting the alpha4-alpha5 transmembrane hairpin of the Cry4Aa mosquito-larvicidal protein have been found to be unique among the Bacillus thuringiensis Cry delta-endotoxins. In this study, their structural requirements for larvicidal activity of the Cry4Aa toxin were investigated. C192A and C199A mutant toxins were initially generated and over-expressed in Escherichia coli cells as 130-kDa protoxins at levels comparable to that of the wild-type toxin. When their activities against Aedes aegypti larvae were determined, Escherichia coli cells expressing each mutant toxin retained the high-level toxicity. Further mutagenic analysis of the PPNP motif revealed that an almost complete loss in larvicidal activity was observed for the C199A/P193A double mutant, whereas a small reduction in toxicity was shown for the C199A/P194A and C199A/P196A mutants. Increasing the flexibility of the alpha4-alpha5 loop through C199A/P193G, C199A/P194G/P196A, C199A/P194A/P196G, and C199A/P194G/P196G mutations significantly decreased the larvicidal activity. Similar to the wild-type protoxin, all mutant toxins were structurally stable upon solubilisation and trypsin activation in carbonate buffer, pH 9.0. These findings are the first biological evidence for a structural function in larvicidal activity of the unique disulphide bridge as well as the proline-rich motif within the alpha4-alpha5 loop of the Cry4Aa toxin.     

Solution 1H NMR study of the active site molecular structure and magnetic properties of the cyanomet complex of the isolated alpha-chain from human hemoglobin A

The solution electronic and molecular structure for the heme pocket of the cyanomet complex of the isolated alpha-chain of human adult hemoglobin (HbA) has been investigated by homonuclear two-dimensional 1H NMR in order to establish an assignment protocol for the dimeric chain that will guide similar assignments in the intact, heterotetrameric HbA complex, and to compare the structures of the alpha-chain with its subunit in HbA. The target residues are those that exhibit significant (>0.2 ppm) dipolar shifts, as predicted by a "preliminary" set of magnetic axes determined from a small set of easily assigned active site residues. All 97 target residues (approximately 70% of total) were assigned by taking advantage of the temperature dependence predicted by the "preliminary" magnetic axes for the polypeptide backbone; they include all residues proposed to play a significant role in modulating the ligand affinity in the tetramer HbA. Left unassigned are the A-helix, the end of the G-helix and the beginning of the H-helix where dipolar shifts are less than 0.2 ppm. The complete assignments allow the determination of a robust set of orientation and anisotropies of the paramagnetic susceptibility tensor that leads to quantitative interpretation of the dipolar shifts of the alpha-chain in terms of the crystal coordinates of the alpha-subunit in ligated HbA which, in turn, confirms a largely conserved molecular structure of the isolated alpha-chain relative to that in the intact HbA. The major magnetic axis, which is correlated with the tilt of the Fe-CN unit, is tilted approximately 10 degrees from the heme normal so that the Fe-CN unit is tilted toward the beta-meso-H in a fashion remarkably similar to the Fe-CO tilt in HbACO. It is concluded that a set of "preliminary" magnetic axes and the use of variable temperature two-dimensional NMR spectra are crucial to effective assignments in the cyanomet alpha-chain and that this approach should be similarly effective in HbA.     

A comparison of the strength of biodiversity effects across multiple functions

In order to predict which ecosystem functions are most at risk from biodiversity loss, meta-analyses have generalised results from biodiversity experiments over different sites and ecosystem types. In contrast, comparing the strength of biodiversity effects across a large number of ecosystem processes measured in a single experiment permits more direct comparisons. Here, we present an analysis of 418 separate measures of 38 ecosystem processes. Overall, 45 % of processes were significantly affected by plant species richness, suggesting that, while diversity affects a large number of processes not all respond to biodiversity. We therefore compared the strength of plant diversity effects between different categories of ecosystem processes, grouping processes according to the year of measurement, their biogeochemical cycle, trophic level and compartment (above- or belowground) and according to whether they were measures of biodiversity or other ecosystem processes, biotic or abiotic and static or dynamic. Overall, and for several individual processes, we found that biodiversity effects became stronger over time. Measures of the carbon cycle were also affected more strongly by plant species richness than were the measures associated with the nitrogen cycle. Further, we found greater plant species richness effects on measures of biodiversity than on other processes. The differential effects of plant diversity on the various types of ecosystem processes indicate that future research and political effort should shift from a general debate about whether biodiversity loss impairs ecosystem functions to focussing on the specific functions of interest and ways to preserve them individually or in combination.     

Self-esteem in adolescent patients with attention-deficit/hyperactivity disorder during open-label atomoxetine treatment: psychometric evaluation of the Rosenberg Self-Esteem Scale and clinical findings

To report on (1) psychometric properties of the Rosenberg Self-Esteem Scale (SES) studied in adolescents with ADHD, (2) correlations of SES with ADHD scale scores, and (3) change in patient-reported self-esteem with atomoxetine treatment. ADHD patients (12–17 years), treated in an open-label study for 24 weeks. Secondary analyses on ADHD symptoms (assessed with ADHD-RS, CGI, GIPD scales) and self-esteem (SES) were performed. One hundred and fifty-nine patients were treated. A dichotomous structure of the SES could be confirmed. Reliability and internal consistency were moderate to excellent. Highest coefficients were found for the correlation between SES and GIPD scores. Self-esteem significantly increased over time, accompanied by an improvement of ADHD symptoms and related perceived difficulties. The Rosenberg SES was shown to be internally consistent, reliable, and sensitive to treatment-related changes of self-esteem. According to these findings, self-esteem may be an important individual patient outcome beyond the core symptoms of ADHD.     

Rule-based modeling and simulations of the inner kinetochore structure

Background

Combinatorial complexity is a central problem when modeling biochemical reaction networks, since the association of a few components can give rise to a large variation of protein complexes. Available classical modeling approaches are often insufficient for the analysis of very large and complex networks in detail. Recently, we developed a new rule-based modeling approach that facilitates the analysis of spatial and combinatorially complex problems. Here, we explore for the first time how this approach can be applied to a specific biological system, the human kinetochore, which is a multi-protein complex involving over 100 proteins.

Results

Applying our freely available SRSim software to a large data set on kinetochore proteins in human cells, we construct a spatial rule-based simulation model of the human inner kinetochore. The model generates an estimation of the probability distribution of the inner kinetochore 3D architecture and we show how to analyze this distribution using information theory. In our model, the formation of a bridge between CenpA and an H3 containing nucleosome only occurs efficiently for higher protein concentration realized during S-phase but may be not in G1. Above a certain nucleosome distance the protein bridge barely formed pointing towards the importance of chromatin structure for kinetochore complex formation. We define a metric for the distance between structures that allow us to identify structural clusters. Using this modeling technique, we explore different hypothetical chromatin layouts.

Conclusions

Applying a rule-based network analysis to the spatial kinetochore complex geometry allowed us to integrate experimental data on kinetochore proteins, suggesting a 3D model of the human inner kinetochore architecture that is governed by a combinatorial algebraic reaction network. This reaction network can serve as bridge between multiple scales of modeling. Our approach can be applied to other systems beyond kinetochores.