In vivo glyco-engineered antibody with improved lytic potential produced by an innovative non-mammalian expression system

Recent studies have demonstrated that the reduction of the core fucosylation on N-glycans of human IgGs is responsible for a clearly enhanced antibody-dependent cellular cytotoxicity (ADCC). This finding might give access to improved active therapeutic antibodies. Here, the expression of the tumor antigen-specific antibody IGN311 was performed in a glyco-optimized strain of the moss Physcomitrella patens. Removal of plant specific N-glycan structures in this plant expression host was achieved by targeted knockout of corresponding genes and included quantitative elimination of core fucosylation. Antibodies transiently expressed and secreted by such genetically modified moss protoplasts assembled correctly, showed an unaltered antigen-binding affinity and, in extensive tests, revealed an up to 40-fold enhanced ADCC. Thus, the glyco-engineered moss-based transient expression platform combines a rapid technology with the subsequent analysis of glycooptimized therapeutics with regard to advanced properties.     

植物M/MLD类受体蛋白激酶及其生物学功能的研究进展北大核心CSCD

植物受体蛋白激酶通过与胞外信号结合感知和接收外部信号传递,在植物各个生理过程及生物代谢中发挥着重大的作用。其中M/MLD类受体蛋白激酶是一类植物特有的具有Malectin-like结构域的受体蛋白激酶。研究表明,M/MLD-RLKs亚家族参与植物发育过程及生物/非生物胁迫调控。该研究对近年来国内外有关植物M/MLD-RLKs的发现、结构特点以及生物学功能等方面的研究进展进行综述,并重点阐述其在调控植物根系、叶片、花发育及响应多种胁迫过程中的作用,为深入研究M/MLD-RLKs在植物生长发育过程中的生理功能提供参考。     

土壤原生生物多样性及其生态功能研究进展

原生生物广泛分布在土壤和不同生境中, 其数量庞大、种类繁多, 在生态系统物质循环和能量流动以及维持土壤和植物健康中起着举足轻重的作用。与土壤其他生物类群相比, 原生生物分类体系和生态类型复杂, 分类鉴定困难且分子检测技术不够成熟, 目前对原生生物的认识相对不足。本文对当前原生生物的相关研究进展进行了总结和梳理, 系统阐述了原生生物的分类系统和营养功能群特征、土壤原生生物的多样性分布特征及影响因子, 重点介绍了原生生物群落在参与土壤养分循环、维持土壤和植物健康等中的功能作用, 并对未来的研究方向与应用前景进行了展望。对土壤原生生物的研究有助于我们深入认识土壤生物多样性资源, 并进行保护性地开发和利用, 维护土壤和生态系统健康。     

Selection for novel metabolic capabilities in Salmonella enterica

Bacteria are known to display extensive metabolic diversity and many studies have shown that they can use an extensive repertoire of small molecules as carbon‐ and energy sources. However, it is less clear to what extent a bacterium can expand its existing metabolic capabilities by acquiring mutations that, for example, rewire its metabolic pathways. To investigate this capability and potential for evolution of novel phenotypes, we sampled large populations of mutagenized Salmonella enterica to select very rare mutants that can grow on minimal media containing 124 low molecular weight compounds as sole carbon sources. We found mutants growing on 18 of these novel carbon sources, and identified the causal mutations that allowed growth for four of them. Mutations that relieve physiological constraints or increase expression of existing pathways were found to be important contributors to the novel phenotypes. For the remaining 14 novel phenotypes, whole genome sequencing of independent mutants and genetic analysis suggested that these novel metabolic phenotypes result from a combination of multiple mutations. This work, by virtue of identifying the genetic and mechanistic basis for new metabolic capabilities, sheds light on the properties of adaptive landscapes underlying the evolution of novel phenotypes.     

Extracellular vesicles derived from Echinococcus granulosus hydatid cyst fluid from patients: isolation,characterization and evaluation of immunomodulatory functions on T cells

Cystic echinococcosis is a chronic and complex zoonotic disease. The mechanisms underlying the parasite’s establishment, growth and persistence are not completely understood, and are thought be modulated by a crosstalk through extracellular vesicles. Here, EVs were isolated from the hydatid cyst fluid of patients with cystic echinococcosis and protoscolex culture supernatant. Proteomic analysis of these EVs revealed several parasite- and human-derived proteins. Very few studies have performed proteomic analysis of EVs isolated from HCF and PCS. Our proteomic analysis of the EVs derived from HCF and PCS facilitated identification of 1175 proteins, wherein 1026 and 38 proteins were exclusively identified in the EVs derived from HCF (HCF-EVs) and PCS (PCS-EVs), respectively, and 111 proteins were shared in both. The results of co-culture of PCS-EVs with murine peripheral blood mononuclear cells showed that PCS-EVs significantly regulated T lymphocyte functions in a dose-dependent manner. Collectively, our results provide valuable information on parasite survival strategies and new insights into the role of these EVs in the establishment and persistence of hydatid cysts.     

兰科植物microRNA的研究进展

microRNA (miRNA)是一类广泛存在的非编码小分子RNA,在植物的生长发育和应激反应等过程中起到重要的调控作用.本文从miRNA在植物中的作用机制出发,对近10年来兰科植物各属miRNA的鉴定、几类miRNA的具体功能及miRNA的其他相关技术研究进行综述,以期为兰科植物小分子RNA的功能作用及调控网络解析提...     

Water quality index,Labeo rohita,and Eichhornia crassipes: Suitable bio-indicators of river water pollution

The present study investigated the water quality index (WQI) of the Kshipra river at Dewas, Madhya Pradesh, India, using native fish Labeo rohita, and plant Eichhornia crassipes. The temperature, pH, dissolved oxygen, alkalinity, turbidity, and dissolved solids were found to be within the prescribed limits. However, heavy metals concentration exceeded the limit except for Cu and Zn. Their occurrence in river water was as follows: Ni > Fe > Cd > Cr > Mn > Zn > Cu. Among these heavy metals, Cd was found to be highly bioavailable, whereas Zn was the least bioavailable metal. Based on WQI, the water was found to be unfit for drinking, and the high WQI value was due to the presence of Cr and Cd. In fish tissues (muscle, liver, gut, gills, and kidney), the highest and lowest metal pollution index was found in gills (45.03) and kidneys (12.21), respectively. Bioaccumulation of these metals resulted in significant depletion of energy reserves (protein, glucose, and glycogen) and also altered hematological parameters. Moreover, liver function tests showed hepatic damage in the exposed fish. In-plant, both the bioaccumulation and mobility factor exceeded 1 for all these metals. On the other hand, the translocation factor was found to be beyond 1 for Fe, Ni, and Zn. These high values make this plant fit for phytoextraction of Mn, Fe, Cu, Zn, and Cd and phytostabilization of Cr in water. Moreover, consumption of L. rohita from the Kshipra River does not pose a non-cancer risk as the target hazard quotient was below 1, but it may pose cancer risk because of the presence of Cr in the range of 1.402 × 10^?3 to 1.599 × 10^?3.     

Estimating equations with nonignorably missing response data

Troxel, Lipsitz, and Brennan (1997, Biometrics 53, 857-869) considered parameter estimation from survey data with nonignorable nonresponse and proposed weighted estimating equations to remove the biases in the complete-case analysis that ignores missing observations. This paper suggests two alternative modifications for unbiased estimation of regression parameters when a binary outcome is potentially observed at successive time points. The weighting approach of Robins, Rotnitzky, and Zhao (1995, Journal of the American Statistical Association 90, 106-121) is also modified to obtain unbiased estimating functions. The suggested estimating functions are unbiased only when the missingness probability is correctly specified, and misspecification of the missingness model will result in biases in the estimates. Simulation studies are carried out to assess the performance of different methods when the covariate is binary or normal. For the simulation models used, the relative efficiency of the two new methods to the weighting methods is about 3.0 for the slope parameter and about 2.0 for the intercept parameter when the covariate is continuous and the missingness probability is correctly specified. All methods produce substantial biases in the estimates when the missingness model is misspecified or underspecified. Analysis of data from a medical survey illustrates the use and possible differences of these estimating functions.     

Bayesian survival analysis using a MARS model

A Bayesian multivariate adaptive regression spline fitting approach is used to model univariate and multivariate survival data with censoring. The possible models contain the proportional hazards model as a subclass and automatically detect departures from this. A reversible jump Markov chain Monte Carlo algorithm is described to obtain the estimate of the hazard function as well as the survival curve.