Matriptase-2- and proprotein convertase-cleaved forms of hemojuvelin have different roles in the down-regulation of hepcidin expression

Hemojuvelin (HJV) is an important regulator of iron metabolism. Membrane-anchored HJV up-regulates expression of the iron regulatory hormone, hepcidin, through the bone morphogenic protein (BMP) signaling pathway by acting as a BMP co-receptor. HJV can be cleaved by the furin family of proprotein convertases, which releases a soluble form of HJV that suppresses BMP signaling and hepcidin expression by acting as a decoy that competes with membrane HJV for BMP ligands. Recent studies indicate that matriptase-2 binds and degrades HJV, leading to a decrease in cell surface HJV. In the present work, we show that matriptase-2 cleaves HJV at Arg(288), which produces one major soluble form of HJV. This shed form of HJV has decreased ability to bind BMP6 and does not suppress BMP6-induced hepcidin expression. These results suggest that the matriptase-2 and proprotein convertase-cleavage products have different roles in the regulation of hepcidin expression.     

Advances in genetic engineering of marine algae

Algae are a component of bait sources for animal aquaculture, and they produce abundant valuable compounds for the chemical industry and human health. With today's fast growing demand for algae biofuels and the profitable market for cosmetics and pharmaceuticals made from algal natural products, the genetic engineering of marine algae has been attracting increasing attention as a crucial systemic technology to address the challenge of the biomass feedstock supply for sustainable industrial applications and to modify the metabolic pathway for the more efficient production of high-value products. Nevertheless, to date, only a few marine algae species can be genetically manipulated. In this article, an updated account of the research progress in marine algal genomics is presented along with methods for transformation. In addition, vector construction and gene selection strategies are reviewed. Meanwhile, a review on the progress of bioreactor technologies for marine algae culture is also revisited.     

Novel RasGRF1-derived Tat-fused peptides inhibiting Ras-dependent proliferation and migration in mouse and human cancer cells

Mutations of RAS genes are critical events in the pathogenesis of different human tumors and Ras proteins represent a major clinical target for the development of specific inhibitors to use as anticancer agents. Here we present RasGRF1-derived peptides displaying both in vitro and in vivo Ras inhibitory properties. These peptides were designed on the basis of the down-sizing of dominant negative full-length RasGRF1 mutants. The over-expression of these peptides can revert the phenotype of K-RAS transformed mouse fibroblasts to wild type, as monitored by several independent biological readouts, including Ras-GTP intracellular levels, ERK activity, morphology, proliferative potential and anchorage independent growth. Fusion of the RasGRF1-derived peptides with the Tat protein transduction domain allows their uptake into mammalian cells. Chemically synthesized Tat-fused peptides, reduced to as small as 30 residues on the basis of structural constraints, retain Ras inhibitory activity. These small peptides interfere in vitro with the GEF catalyzed nucleotide dissociation and exchange on Ras, reduce cell proliferation of K-RAS transformed mouse fibroblasts, and strongly reduce Ras-dependent IGF-I-induced migration and invasion of human bladder cancer cells. These results support the use of RasGRF1-derived peptides as model compounds for the development of Ras inhibitory anticancer agents.     

大肠杆菌代谢工程改造合成L-高丝氨酸及其衍生物研究进展

l-高丝氨酸及其衍生物(O-琥珀酰-l-高丝氨酸和O-乙酰-l-高丝氨酸)是生物合成l-甲硫氨酸的前体,同时也是合成多种C4化合物(异丁醇、g-丁内酯、1,4-丁二醇、2,4-二羟基丁酸等)和l-草铵膦等的平台化合物。因此,发酵法生产l-高丝氨酸及其衍生物成为近年内研究的热点。然而,利用生物法合成l-高丝氨酸及其衍生物仍存在一些不足之处,如发酵产量不高或糖酸转化率过低等。此外,对l-高丝氨酸及其衍生物合成的总体代谢和调控机制鲜有报道。本文综述了大肠杆菌代谢工程改造合成l-高丝氨酸及其衍生物O-琥珀酰-l-高丝氨酸和O-乙酰-l-高丝氨酸的研究进展,从底物摄取、关键节点碳流分配改造、辅酶NADPH的循环供应以及目标产物的外运输出等方面,系统分析了大肠杆菌全发酵法生产l-高丝氨酸及其衍生物的代谢途径及改造策略,为其后续代谢改造及生物法生产提供一定的研究思路。     

木质素生物合成及其基因工程研究进展

木质素是维管植物的一种主要组成成分,是植物适应陆地环境的重要特征之一.然而,它的存在严重影响植物材料在造纸工业与畜牧业生产中的应用,因此其生物合成调控的研究引起人们极大关注.随着各种分析技术和手段的提高,该领域研究取得了突破性的进展.该文重点阐述这些新进展,同时较系统地介绍利用基因工程技术调控木质素生物合成的研究成果,并提出一些关于更有效地利用生物技术手段改良造纸资源植物品质的建议.     

Intraspecfic variation in cold-temperature metabolic phenotypes of Arabidopsis lyrata ssp. petraea

Atmospheric temperature is a key factor in determining the distribution of a plant species. Alongside this, plant populations growing at the margin of their range may exhibit traits that indicate genetic differentiation and adaptation to their local abiotic environment. We investigated whether geographically separated marginal populations of Arabidopsis lyrata ssp. petraea have distinct metabolic phenotypes associated with exposure to cold temperatures. Seeds of A. petraea were obtained from populations along a latitudinal gradient, namely Wales, Sweden and Iceland and grown in a controlled cabinet environment. Mannose, glucose, fructose, sucrose and raffinose concentrations were different between cold treatments and populations, especially in the Welsh population, but polyhydric alcohol concentrations were not. The free amino acid compositions were population specific, with fold differences in most amino acids, especially in the Icelandic populations, with gross changes in amino acids, particularly those associated with glutamine metabolism. Metabolic fingerprints and profiles were obtained. Principal component analysis (PCA) of metabolite fingerprints revealed metabolic characteristic phenotypes for each population and temperature. It is suggested that amino acids and carbohydrates were responsible for discriminating populations within the PCA. Metabolite fingerprinting and profiling has proved to be sufficiently sensitive to identify metabolic differences between plant populations at different atmospheric temperatures. These findings show that there is significant natural variation in cold metabolism among populations of A. l. petraea which may signify plant adaptation to local climates. Electronic supplementary material  The online version of this article (doi:) contains supplementary material, which is available to authorized users.     

A general approach to antibody thermostabilization

Antibody engineering to enhance thermostability may enable further application and ease of use of antibodies across a number of different areas. A modified human IgG framework has been developed through a combination of engineering approaches, which can be used to stabilize antibodies of diverse specificity. This is achieved through a combination of complementarity-determining region (CDR)-grafting onto the stable framework, mammalian cell display and in vitro somatic hypermutation (SHM). This approach allows both stabilization and maturation to affinities beyond those of the original antibody, as shown by the stabilization of an anti-HA33 antibody by approximately 10°C and affinity maturation of approximately 300-fold over the original antibody. Specificities of 10 antibodies of diverse origin were successfully transferred to the stable framework through CDR-grafting, with 8 of these successfully stabilized, including the therapeutic antibodies adalimumab, stabilized by 9.9°C, denosumab, stabilized by 7°C, cetuximab stabilized by 6.9°C and to a lesser extent trastuzumab stabilized by 0.8°C. This data suggests that this approach may be broadly useful for improving the biophysical characteristics of antibodies across a number of applications.     

A well-characterized polycistronic-like gene expression system in yeast

Efficient expression of multiple genes is critical to yeast metabolic engineering for the bioproduction of bulk and fine chemicals. A yeast polycistronic expression system is of particular interest because one promoter can drive the expression of multiple genes. 2A viral peptides enable the cotranslation of multiple proteins from a single mRNA by ribosomal skipping. However, the wide adaptation of 2A viral peptides for polycistronic-like gene expression in yeast awaits in-depth characterizations. Additionally, a one-step assembly of such a polycistronic-like system is highly desirable. To this end, we have developed a modular cloning (MoClo) compatible 2A peptide-based polycistronic-like system capable of expressing multiple genes from a single promoter in yeast. Characterizing the bi-, tri-, and quad-cistronic expression of fluorescent proteins showed high cleavage efficiencies of three 2A peptides: E2A from equine rhinitis B virus, P2A from porcine teschovirus-1, and O2A from Operophtera brumata cypovirus-18. Applying the polycistronic-like system to produce geraniol, a valuable industrial compound, resulted in comparable or higher titers than using conventional monocistronic constructs. In summary, this highly-characterized polycistronic-like gene expression system is another tool to facilitate multigene expression for metabolic engineering in yeast.     

Engineering Streptomyces tenebrarius to synthesize single component of carbamoyl tobramycin

Aims: To engineer Streptomyces tenebrarius for producing carbamoyl tobramycin as a main component. Methods and Results: The aprH‐M gene fragment (apramycin biosynthetic gene from GenBank) in S. tenebrarius Tt49 was knocked out by genetic engineering to form S. tenebrarius T106 (△aprH‐M). Compared to the wild‐type strain, mutant strain T106 (△aprH‐M) no longer produced apramycin, while mainly synthesize carbamoyl tobramycin. TLC and HPLC‐MS analyses indicated that the mutant strain significantly increased the production of carbamoyl tobramycin. Conclusions: The metabolic flow for the apramycin and its analogues biosynthesis was blocked by disrupting the aprH‐M gene clusters. The aprH‐M gene clusters might be essential for the biosynthesis of apramycin. The mutant strain T106 mainly synthesized carbamoyl tobramycin. Significance and Impact of Study: The mutant T106 mainly produces carbamoyl tobramycin without synthesizing apramycin, which will reduce cost of postextraction from fermentation products. Therefore, it has good prospects for industrial application.     

ProDCoNN: Protein design using a convolutional neural network

Designing protein sequences that fold to a given three-dimensional (3D) structure has long been a challenging problem in computational structural biology with significant theoretical and practical implications. In this study, we first formulated this problem as predicting the residue type given the 3D structural environment around the C _α atom of a residue, which is repeated for each residue of a protein. We designed a nine-layer 3D deep convolutional neural network (CNN) that takes as input a gridded box with the atomic coordinates and types around a residue. Several CNN layers were designed to capture structure information at different scales, such as bond lengths, bond angles, torsion angles, and secondary structures. Trained on a very large number of protein structures, the method, called ProDCoNN (protein design with CNN), achieved state-of-the-art performance when tested on large numbers of test proteins and benchmark datasets.