Recombinant Membrane-targeted Form of CD59 Inhibits the Growth of Choroidal Neovascular Complex in Mice

This study was designed to explore the effect of recombinant, membrane-targeted CD59 (rCD59-APT542) on the growth and size of fully developed neovascular complex using the murine model of laser-induced choroidal neovascularization (CNV). CNV was induced by laser photocoagulation in C57BL/6 mice using an argon laser, and the animals received rCD59-APT542 via intravitreal (ivt) route. Western blot analysis, immunohistochemistry, and total complement hemolytic assay demonstrated that exogenously administered rCD59-APT542 was incorporated as well as retained in RPE and choroid and was functionally active in vivo. Single ivt injection during the growth of the CNV (i.e. at day 3 post-laser) resulted in ∼79% inhibition of the further growth of neovascular complex. The size of the CNV complex was significantly (p < 0.05) reduced by the administration of rCD59-APT542 after the CNV complex has fully developed (i.e. at day 7 post-laser). Treatment with rCD59-APT542 blocked the formation of membrane attack complex (MAC), increased apoptosis and decreased cell proliferation in the neovascular complex. On the basis of results presented here we conclude that recombinant membrane targeted CD59 inhibited the growth of the CNV complex and reduced the size of fully developed CNV in the laser-induced mouse model. We propose that a combination of two mechanisms: increased apoptosis and decreased cell proliferation, both resulting from local inhibition of MAC, may be responsible for inhibition of CNV by rCD59-APT542.     

Quantitative imaging of oil storage in developing crop seeds

In this article, we present a tool which allows the rapid and non-invasive detection and quantitative visualization of lipid in living seeds at a variety of stages using frequency-selected magnetic resonance imaging. The method provides quantitative lipid maps with a resolution close to the cellular level (in-plane 31 µm × 31 µm). The reliability of the method was demonstrated using two contrasting subjects: the barley grain (monocot, 2% oil, highly compartmentalized) and the soybean grain (dicot, 20% oil, economically important oilseed). Steep gradients in local oil storage were defined at the organ- and tissue-specific scales. These gradients were closely coordinated with tissue differentiation and seed maturation, as revealed by electron microscopy and biochemical and gene expression analysis. The method can be used to elucidate similar oil accumulation processes in different tissues/organs, as well as to follow the fate of storage lipids during deposition and subsequent mobilization.     

The Methylation Cycle and its Possible Functions in Barley Endosperm Development

Barley endosperm development can be subdivided into the pre-storage, intermediate, storage and desiccation phase. Nothing is known about DNA methylation events involved in different endosperm-specific developmental programmes. A complete set of methylation cycle enzyme genes was identified and investigated by mRNA expression analysis. During the pre-storage phase, methionine synthase and S-adenosylmethionine (AdoMet) synthase genes are expressed at high levels, mainly to produce AdoMet, which might be used for methylation processes as indicated by high expression of methyltransferases HvMET1, HvCMT1 and HvDnmt3-1 as well as AdoHcy hydrolase genes. The methyltransferases, core histones and DNA-unwinding ATPases are co-expressed at the mRNA level. On the contrary, storage protein (prolamin) gene expression is repressed due to CpG methylation. Expression of genes responsible for starch biosynthesis is also developmentally regulated but not methylation-dependent. Thus, during pre-storage phase, activity of HvMET1 and HvCMT1 possibly maintains DNA replication and suppresses specific pathways of maturation. Besides, HvDnmt3-1 might be responsible for differentiation-specific de novo methylation. Expression of methyltransferases HvDnmt3-2 and HvCMT2 peaks during the onset of massive starch accumulation. The enzymes are likely responsible for DNA methylation involved in determining plastid division and amyloplast differentiation as concluded from the patterns of co-expressed genes. Levels of AdoMet decarboxylase mRNA, but not methyltransferase- and AdoHcy mRNA, increase at the beginning of desiccation together with methionine synthase and AdoMet synthase levels. This increase may be indicative for utilization of AdoMet in polyamine production protecting aleuron and embryo cell membranes during desiccation.     

Genetic transformation of cauliflower (Brassica oleracea var. botrytis) by direct DNA uptake into mesophyll protoplasts

Mesophyll protoplasts of Brassica oleracea var. botrytis were successfully transformed using polyethylene glycol (PEG). The success of plant transformation depended on both gene transfer and plant regeneration. Parameters, such as PEG and vector concentrations and heat shock conditions were tested in experiments on transient expression of the β -glucuronidase (EC 3.2.1.31) gene and the most suitable conditions for DNA uptake were determined. Two antibiotic resistance marker genes for neomycin phosphotransferase (EC 2.7.1.95) and hygromycin phosphotransferase (EC 2.7.1.104), and three vector plasmids with different lengths were used to obtain stable transformants.     

Identification of barley CK2alpha targets by using the protein microarray technology

We have successfully established a novel protein microarray-based kinase assay, which we applied to identify target proteins of the barley protein kinase CK2alpha. As a source of recombinant barley proteins we cloned cDNAs specific for filial tissues of developing barley seeds into an E. coli expression vector. By using robot technology, 21,500 library clones were arrayed in microtiter plates and gridded onto high-density filters. Protein expressing clones were detected using an anti-RGS-His6 antibody and rearrayed into a sublibrary of 4100 clones. All of these clones were sequenced from the 5'-end and the sequences were analysed by homology searches against protein databases. Based on these results we selected 768 clones expressing different barley proteins for protein purification. The purified proteins were robotically arrayed onto FAST slides. The generated protein microarrays were incubated with an expression library-derived barley CK2alpha in the presence of [gamma-33P]ATP, and signals were detected by X-ray film or phosphor imager. We were able to demonstrate the power of the protein microarray technology by identification of 21 potential targets out of 768 proteins including such well-known substrates of CK2alpha as high mobility group proteins and calreticulin.     

Predicting effects of multiple interacting global change drivers across trophic levels

Global change encompasses many co-occurring anthropogenic drivers, which can act synergistically or antagonistically on ecological systems. Predicting how different global change drivers simultaneously contribute to observed biodiversity change is a key challenge for ecology and conservation. However, we lack the mechanistic understanding of how multiple global change drivers influence the vital rates of multiple interacting species. We propose that reaction norms, the relationships between a driver and vital rates like growth, mortality, and consumption, provide insights to the underlying mechanisms of community responses to multiple drivers. Understanding how multiple drivers interact to affect demographic rates using a reaction-norm perspective can improve our ability to make predictions of interactions at higher levels of organization—that is, community and food web. Building on the framework of consumer–resource interactions and widely studied thermal performance curves, we illustrate how joint driver impacts can be scaled up from the population to the community level. A simple proof-of-concept model demonstrates how reaction norms of vital rates predict the prevalence of driver interactions at the community level. A literature search suggests that our proposed approach is not yet used in multiple driver research. We outline how realistic response surfaces (i.e., multidimensional reaction norms) can be inferred by parametric and nonparametric approaches. Response surfaces have the potential to strengthen our understanding of how multiple drivers affect communities as well as improve our ability to predict when interactive effects emerge, two of the major challenges of ecology today.