Lens specification is the ground state of all sensory placodes, from which FGF promotes olfactory identity

The sense organs of the vertebrate head comprise structures as varied as the eye, inner ear, and olfactory epithelium. In the early embryo, these assorted structures share a common developmental origin within the preplacodal region and acquire specific characteristics only later. Here we demonstrate a fundamental similarity in placodal precursors: in the chick all are specified as lens prior to acquiring features of specific sensory or neurogenic placodes. Lens specification becomes progressively restricted in the head ectoderm, initially by FGF and subsequently by signals derived from migrating neural crest cells. We show that FGF8 from the anterior neural ridge is both necessary and sufficient to promote olfactory fate in adjacent ectoderm. Our results reveal that placode precursors share a common ground state as lens and progressive restriction allows the full range of placodal derivatives to form.     

A cybernetic model to predict the effect of freely available nitrogen substrate on rifamycin B production in complex media

It is well-known that secondary metabolite production is repressed by excess nitrogen substrate available in the fermentation media. Although the nitrogen catabolite repression has been known, quantitative process models have not been reported to represent this phenomenon in complex medium. In this paper, we present a cybernetic model for rifamycin B production via Amycolatopsis mediterranei S699 in complex medium, which is typically used in industry. Nitrogen substrate is assumed to be present in two forms in the medium; available nitrogen (S _ANS) such as free amino acids and unavailable nitrogen (S _UNS) such as peptides and proteins. The model assumes that an inducible enzyme catalyzes the conversion of S _UNS to S _ANS. Although S _ANS is required for growth and product formation, high concentrations were found to inhibit rifamycin production. To experimentally validate the model, five different organic nitrogen sources were used that differ in the ratio of S _ANS/S _UNS. The model successfully predicts higher rifamycin B productivity for nitrogen sources that contain lower initial S _ANS. The higher productivity is attributed to the sustained availability of S _ANS at low concentration via conversion of S _UNS to S _ANS, thereby minimizing the effects of nitrogen catabolite repression on rifamycin production. The model can have applications in model-based optimization of substrate feeding recipe and in monitoring and control of fed batch processes.     

Hierarchical amino acid utilization and its influence on fermentation dynamics: rifamycin B fermentation using Amycolatopsis mediterranei S699, a case study

Background  

Industrial fermentation typically uses complex nitrogen substrates which consist of mixture of amino acids. The uptake of amino acids is known to be mediated by several amino acid transporters with certain preferences. However, models to predict this preferential uptake are not available. We present the stoichiometry for the utilization of amino acids as a sole carbon and nitrogen substrate or along with glucose as an additional carbon source. In the former case, the excess nitrogen provided by the amino acids is excreted by the organism in the form of ammonia. We have developed a cybernetic model to predict the sequence and kinetics of uptake of amino acids. The model is based on the assumption that the growth on a specific substrate is dependent on key enzyme(s) responsible for the uptake and assimilation of the substrates. These enzymes may be regulated by mechanisms of nitrogen catabolite repression. The model hypothesizes that the organism is an optimal strategist and invests resources for the uptake of a substrate that are proportional to the returns.     

Functional Glycomic Analysis of Human Milk Glycans Reveals the Presence of Virus Receptors and Embryonic Stem Cell Biomarkers

Human milk contains a large diversity of free glycans beyond lactose, but their functions are not well understood. To explore their functional recognition, here we describe a shotgun glycan microarray prepared from isolated human milk glycans (HMGs), and our studies on their recognition by viruses, antibodies, and glycan-binding proteins (GBPs), including lectins. The total neutral and sialylated HMGs were derivatized with a bifunctional fluorescent tag, separated by multidimensional HPLC, and archived in a tagged glycan library, which was then used to print a shotgun glycan microarray (SGM). This SGM was first interrogated with well defined GBPs and antibodies. These data demonstrated both the utility of the array and provided preliminary structural information (metadata) about this complex glycome. Anti-TRA-1 antibodies that recognize human pluripotent stem cells specifically recognized several HMGs that were then further structurally defined as novel epitopes for these antibodies. Human influenza viruses and Parvovirus Minute Viruses of Mice also specifically recognized several HMGs. For glycan sequencing, we used a novel approach termed metadata-assisted glycan sequencing (MAGS), in which we combine information from analyses of glycans by mass spectrometry with glycan interactions with defined GBPs and antibodies before and after exoglycosidase treatments on the microarray. Together, these results provide novel insights into diverse recognition functions of HMGs and show the utility of the SGM approach and MAGS as resources for defining novel glycan recognition by GBPs, antibodies, and pathogens.     

Assessment of Genetic Diversity in Zingiberaceae Through Nucleotide Binding Site-Based Motif-Directed Profiling

Functional motif-directed profiling was performed with 15 nucleotide binding site (NBS) primer-enzyme combinations to identify and elucidate the phylogenetic relationships among 15 genotypes of the family Zingiberaceae. We retrieved 167 polymorphic bands (24.85 %), with an average of 11.13 bands per primer. Mean polymorphism rates were detected using MseI (26 %), RsaI (21 %), and AluI (28 %) as restriction enzymes. The polymorphism information content (PIC) for each NBS primer-enzyme combination ranged from 0.48 to 0.76 with a mean value of 0.65. The 38 NBS profiling markers had PIC values ranging from 0.3 to 0.6 and exhibited good power to discriminate between genotypes. Comparison of NBS profiling with microsatellite data for the same set of genotypes exhibited a correlation value of 0.78, P ≤ 0.001. Our study suggests that genetic variability assessment could be more efficient if it targeted genes that exhibit functionally relevant variation, rather than random markers.     

Regulation of inflammatory and lipid metabolism genes by eicosapentaenoic acid-rich oil

Omega-3-PUFAs, eicosapentaenoic acid (EPA), and docosahexaenoic acid (DHA), are associated with prevention of various aspects of metabolic syndrome. In the present studies, the effects of oil rich in EPA on gene expression and activation of nuclear receptors was examined and compared with other ω3-PUFAs. The EPA-rich oil (EO) altered the expression of FA metabolism genes in THP-1 cells, including stearoyl CoA desaturase (SCD) and FA desaturase-1 and -2 (FASDS1 and -2). Other ω3-PUFAs resulted in a similar gene expression response for a subset of genes involved in lipid metabolism and inflammation. In reporter assays, EO activated human peroxisome proliferator-activated receptor α (PPARα) and PPARβ/γ with minimal effects on PPARγ, liver X receptor, retinoid X receptor, farnesoid X receptor, and retinoid acid receptor γ (RARγ); these effects were similar to that observed for purified EPA. When serum from a 6 week clinical intervention with dietary supplements containing olive oil (control), DHA, or two levels of EPA were applied to THP-1 cells, the expression of SCD and FADS2 decreased in the cells treated with serum from the ω3-PUFA-supplemented individuals. Taken together, these studies indicate regulation of gene expression by EO that is consistent with treating aspects of dyslipidemia and inflammation.     

Pathway engineering strategies for production of beneficial carotenoids in microbial hosts

Carotenoids, such as lycopene, β-carotene, zeaxanthin, canthaxanthin and astaxanthin have many benefits for human health. In addition to the functional role of carotenoids as vitamin A precursors, adequate consumption of carotenoids prevents the development of a variety of serious diseases. Biosynthesis of carotenoids is a complex process and it starts with the common isoprene precursors. Condensation of these precursors and subsequent modifications, by introducing hydroxyl- and keto-groups, leads to the generation of diversified carotenoid structures. To improve carotenoid production, metabolic engineering has been explored in bacteria, yeast, and algae. The success of the pathway engineering effort depends on the host metabolism, specific enzymes used, the enzyme expression levels, and the strategies employed. Despite the difficulty of pathway engineering for carotenoid production, great progress has been made over the past decade. We review metabolic engineering approaches used in a variety of microbial hosts for carotenoid biosynthesis. These advances will greatly expedite our efforts to bring the health benefits of carotenoids and other nutritional compounds to our diet.     

In silico proteomic characterization of human epidermal growth factor receptor 2 (HER-2) for the mapping of high affinity antigenic determinants against breast cancer

Multiple different approaches are being used to activate the immune system against breast cancer. Vaccine therapy in general follows the principle that injections of various substances ultimately result in the presentation of tumor peptides to the patient’s immune system. We proposed a potential in silico DNA vaccine against breast cancer by integrating high affinity T cell (MHC-I and MHC-II) and B cell (continuous and discontinuous) epitopes. The matching of the HLA haplotype and antigen was performed to provide the appropriate peptide epitope suitable for majority of the patients. The immunogenic nature of the antigenic construct was also enhanced by the administration of consensus epitopes. The potency of DNA vaccines depends on the efficient expression and presentation of the encoded antigen of interest and the chances of efficient expression of our antigenic construct in host organism was also verified by in silico approaches. An attempt was made to overcome the limited potency of the DNA vaccine by targeting DNA to professional antigen-presenting cells (APCs). A higher immune response theoretically corresponds to a higher survival rate of patients. Therefore, optimization studies were also employed to enhance the immunogenicity of proposed in silico DNA vaccine.