The Effects of Temperature and Diet during Development,Adulthood, and Mating on Reproduction in the Red Flour Beetle

The effects of different temperatures and diets experienced during distinct life stages are not necessarily similar. The silver-spoon hypothesis predicts that developing under favorable conditions will always lead to better performing adults under all adult conditions. The environment-matching hypothesis suggests that a match between developmental and adult conditions will lead to the best performing adults. Similar to the latter hypothesis, the beneficial-acclimation hypothesis suggests that either developing or acclimating as adults to the test temperature will improve later performance under such temperature. We disentangled here between the effect of growth, adult, and mating conditions (temperature and diet) on reproduction in the red flour beetle (Tribolium castaneum), in reference to the reproduction success rate, the number of viable offspring produced, and the mean offspring mass 13 days after mating. The most influential stage affecting reproduction differed between the diet and temperature experiments: adult temperature vs. parental growth diet. Generally, a yeast-rich diet or warmer temperature improved reproduction, supporting the silver-spoon hypothesis. However, interactions between life stages made the results more complex, also fitting the environment-matching hypothesis. Warm growth temperature positively affected reproduction success, but only when adults were kept under the same warm temperature. When the parental growth and adult diets matched, the mean offspring mass was greater than in a mismatch between the two. Additionally, a match between warm adult temperature and warm offspring growth temperature led to the largest offspring mass. These findings support the environment-matching hypothesis. Our results provide evidence for all these hypotheses and demonstrate that parental effects and plasticity may be induced by temperature and diet.     

RGC-32 increases p34CDC2 kinase activity and entry of aortic smooth muscle cells into S-phase.

Proliferation of aortic smooth muscle cells contributes to atherogenesis and neointima formation. Sublytic activation of complement, particularly C5b-9, induces cell cycle progression in aortic smooth muscle cells. RGC-32 is a novel protein that may promote cell cycle progression in response to complement activation. We cloned human RGC-32 cDNA from a human fetal brain cDNA library. The human RGC-32 cDNA encodes a 117-amino acid protein with 92% similarity to the rat and mouse protein. Human RGC-32 maps to chromosome 13 and is expressed in most tissues. Sublytic complement activation enhanced RGC-32 mRNA expression in human aortic smooth muscle cells and induced nuclear translocation of the protein. RGC-32 was physically associated with cyclin-dependent kinase p34CDC2 and increased the kinase activity in vivo and in vitro. In addition, RGC-32 was phosphorylated by p34CDC2-cyclin B1 in vitro. Mutation of RGC-32 protein at Thr-91 prevented the p34CDC2-mediated phosphorylation and resulted in loss of p34CDC2 kinase enhancing activity. Overexpression of RGC-32 induced quiescent aortic smooth muscle cells to enter S-phase. These data indicate that cell cycle activation by C5b-9 may involve p34CDC2 activity through RGC-32. RGC-32 appears to be a cell cycle regulatory factor that mediates cell proliferation, both as an activator and substrate of p34CDC2.     

Ranking antioxidants based on their effect on human serum lipids peroxidation

Evaluation of the activity of antioxidants is commonly based on measurements of the effect of a specific antioxidant on redox reactions conducted in a solution. Given the difference between reactions that occur in homogeneous solutions and those that occur at lipid–water interfaces, as in biological membranes and lipoproteins, the relevance of the commonly-used assays (such as TEAC and ORAC) to the antioxidative activity in biological systems is questionable. The aim of the present investigation is to develop a more relevant assay. Based on our results, we propose an assay based on prolongation of the lag preceding fast peroxidation of serum lipids. The assay employs our previously developed procedure for determination of susceptibility of serum lipids to peroxidation. The effect of antioxidants is expressed in terms of the relative prolongation of the lag preceding peroxidation. It can be considered reliable because it is only marginally dependent on the specific sera used for the assay. The resultant ranking of antioxidants may be expressed either as the relative prolongation of the lag per 1 μM of antioxidant or as the concentration of antioxidant required to double the lag. As expected, the observed ranking order is very different from that reported for TEAC or ORAC assays, undermining the relevance of these assays for oxidation that occurs at interfaces.     

Information-Theoretic Analysis of the Dynamics of an Executable Biological Model

To facilitate analysis and understanding of biological systems, large-scale data are often integrated into models using a variety of mathematical and computational approaches. Such models describe the dynamics of the biological system and can be used to study the changes in the state of the system over time. For many model classes, such as discrete or continuous dynamical systems, there exist appropriate frameworks and tools for analyzing system dynamics. However, the heterogeneous information that encodes and bridges molecular and cellular dynamics, inherent to fine-grained molecular simulation models, presents significant challenges to the study of system dynamics. In this paper, we present an algorithmic information theory based approach for the analysis and interpretation of the dynamics of such executable models of biological systems. We apply a normalized compression distance (NCD) analysis to the state representations of a model that simulates the immune decision making and immune cell behavior. We show that this analysis successfully captures the essential information in the dynamics of the system, which results from a variety of events including proliferation, differentiation, or perturbations such as gene knock-outs. We demonstrate that this approach can be used for the analysis of executable models, regardless of the modeling framework, and for making experimentally quantifiable predictions.     

Improving dendritic cell vaccine immunogenicity by silencing PD-1 ligands using siRNA-lipid nanoparticles combined with antigen mRNA electroporation

Dendritic cell (DC)-based vaccination boosting antigen-specific immunity is being explored for the treatment of cancer and chronic viral infections. Although DC-based immunotherapy can induce immunological responses, its clinical benefit has been limited, indicating that further improvement of DC vaccine potency is essential. In this study, we explored the generation of a clinical-grade applicable DC vaccine with improved immunogenic potential by combining PD-1 ligand siRNA and target antigen mRNA delivery. We demonstrated that PD-L1 and PD-L2 siRNA delivery using DLin-KC2-DMA-containing lipid nanoparticles (LNP) mediated efficient and specific knockdown of PD-L expression on human monocyte-derived DC. The established siRNA-LNP transfection method did not affect DC phenotype or migratory capacity and resulted in acceptable DC viability. Furthermore, we showed that siRNA-LNP transfection can be successfully combined with both target antigen peptide loading and mRNA electroporation. Finally, we demonstrated that these PD-L-silenced DC loaded with antigen mRNA superiorly boost ex vivo antigen-specific CD8⁺ T cell responses from transplanted cancer patients. Together, these findings indicate that our PD-L siRNA-LNP-modified DC are attractive cells for clinical-grade production and in vivo application to induce and boost immune responses not only in transplanted cancer patients, but likely also in other settings.     

Development of a Recombinant Escherichia coli Strain for Overproduction of the Plant Pigment Anthocyanin

Anthocyanins are water-soluble colored pigments found in terrestrial plants and are responsible for the red, blue, and purple coloration of many flowers and fruits. In addition to the plethora of health benefits associated with anthocyanins (cardioprotective, anti-inflammatory, antioxidant, and antiaging properties), these compounds have attracted widespread attention due to their promising potential as natural food colorants. Previously, we reported the biotransformation of anthocyanin, specifically cyanidin 3-O-glucoside (C3G), from the substrate (+)-catechin in Escherichia coli. In the present work, we set out to systematically improve C3G titers by enhancing substrate and precursor availability, balancing gene expression level, and optimizing cultivation and induction parameters. We first identified E. coli transporter proteins that are responsible for the uptake of catechin and secretion of C3G. We then improved the expression of the heterologous pathway enzymes anthocyanidin synthase (ANS) and 3-O-glycosyltransferase (3GT) using a bicistronic expression cassette. Next, we augmented the intracellular availability of the critical precursor UDP-glucose, which has been known as the rate-limiting precursor to produce glucoside compounds. Further optimization of culture and induction conditions led to a final titer of 350 mg/liter of C3G. We also developed a convenient colorimetric assay for easy screening of C3G overproducers. The work reported here constitutes a promising foundation to develop a cost-effective process for large-scale production of plant-derived anthocyanin from recombinant microorganisms.