Fungi short-chain carboxylate transporter: shift from microbe hereditary functional component to metabolic engineering target

Applied Microbiology and Biotechnology - Short-chain carboxylic acids and their derivatives are widely utilized in all aspects of our daily life. Given their specific functional groups, these...     

Verbascoside Attenuates Acute Inflammatory Injury Caused by an Intracerebral Hemorrhage Through the Suppression of NLRP3

Neurochemical Research - Intracerebral hemorrhage (ICH) is a devastating cerebrovascular disease with a high mortality rate affecting individuals worldwide. After ICH, persistent inflammation...     

Comprehensive Surface-Wave Description for the Nano-scale Energy Concentration with Resonant Dipole Antennas

Resonant optical dipole nano-antennas allow giant field enhancement within nano-gaps. To show how the energy of external illumination waves is delivered and concentrated in nano-gaps, we build up a model by considering the dynamical launching and multiple scattering processes of surface plasmon polaritions (SPPs) on both antenna arms. The model captures the main feature of the antenna resonance as evidenced by comparison of the model prediction with fully vectorial numerical results and provides an intuitive picture that the energy of external wave is initially transferred into SPP and is then coupled into the nano-gap. The enhanced field in the nano-gap oscillates quasi-periodically with the increase of the antenna-arm length, and the resonance peaks can be predicted with a phase-matching condition derived from the model, showing that antenna resonance is due to a constructive interference of the multiple-scattered SPPs. Analytical equation for determining the complex resonance wavelength and the quality factor of the resonant modes is obtained. The model however exhibits observable deviation from fully vectorial numerical results for the lowest resonance order (for antenna with the shortest arms), evidencing that, for this case, surface waves other than SPPs contribute to the antenna resonance. The present results are helpful for clarifying the underlying physics for the energy concentration with resonant dipole antennas and may provide recipes for intuitive design of antenna devices, such as those used for optical nonlinearity enhancement and biochemical sensing.     

Association between 1p11-rs11249433 Polymorphism and Breast Cancer Susceptibility: Evidence from 15 Case-Control Studies

Genome-wide association studies have identified SNP rs11249433 at chromosome 1p11 as a new breast cancer (BC) susceptibility locus in populations of European descent. Since then, the relationship between 1p11- rs11249433 and breast cancer has been reported in various ethnic groups; however, these studies have yielded inconsistent results. To investigate this inconsistency, we performed a meta-analysis of 15 studies involving a total of 90,154 cases and 137,238 controls for 1p11-rs11249433 polymorphism to evaluate its effect on genetic susceptibility for breast cancer. An overall random effects odds ratio of 1.09 (95% CI: 1.06-1.12, P<10^-5) was found for rs11249433-G variant. Significant results were also observed for heterozygous (OR=1.09, 95% CI: 1.05-1.12, P<10^-5) and homozygote (OR=1.14, 95% CI: 1.08-1.21, P<10^-5). There was strong evidence of heterogeneity, which largely disappeared after stratification by ethnicity. After stratified by ethnicity, significant associations were found among Caucasians. However, no significant associations were detected among East Asian and African populations. In addition, we found that rs11249433 polymorphism on 1p11 confer risk, exclusively for ER-positive tumors with per-allele OR of 1.13 (95% CI: 1.08-1.18; P <10^-5) compared to ER-negative tumors of 1.01 (95% CI: 0.98-1.04; P=0.49). Similar results were also observed when stratified by PR status. Our findings demonstrated that rs11249433-G allele is a risk-conferring factor for the development of breast cancer, especially in Caucasians.     

Mechanisms for stalled replication fork stabilization: new targets for synthetic lethality strategies in cancer treatments

Timely and faithful duplication of the entire genome depends on completion of replication. Replication forks frequently encounter obstacles that may cause genotoxic fork stalling. Nevertheless, failure to complete replication rarely occurs under normal conditions, which is attributed to an intricate network of proteins that serves to stabilize, repair and restart stalled forks. Indeed, many of the components in this network are encoded by tumour suppressor genes, and their loss of function by mutation or deletion generates genomic instability, a hallmark of cancer. Paradoxically, the same fork‐protective network also confers resistance of cancer cells to chemotherapeutic drugs that induce high‐level replication stress. Here, we review the mechanisms and major pathways rescuing stalled replication forks, with a focus on fork stabilization preventing fork collapse. A coherent understanding of how cells protect their replication forks will not only provide insight into how cells maintain genome stability, but also unravel potential therapeutic targets for cancers refractory to conventional chemotherapies.     

From molecular engineering to process engineering: development of high-throughput screening methods in enzyme directed evolution

With increasing concerns in sustainable development, biocatalysis has been recognized as a competitive alternative to traditional chemical routes in the past decades. As nature’s biocatalysts, enzymes are able to catalyze a broad range of chemical transformations, not only with mild reaction conditions but also with high activity and selectivity. However, the insufficient activity or enantioselectivity of natural enzymes toward non-natural substrates limits their industrial application, while directed evolution provides a potent solution to this problem, thanks to its independence on detailed knowledge about the relationship between sequence, structure, and mechanism/function of the enzymes. A proper high-throughput screening (HTS) method is the key to successful and efficient directed evolution. In recent years, huge varieties of HTS methods have been developed for rapid evaluation of mutant libraries, ranging from in vitro screening to in vivo selection, from indicator addition to multi-enzyme system construction, and from plate screening to computation- or machine-assisted screening. Recently, there is a tendency to integrate directed evolution with metabolic engineering in biosynthesis, using metabolites as HTS indicators, which implies that directed evolution has transformed from molecular engineering to process engineering. This paper aims to provide an overview of HTS methods categorized based on the reaction principles or types by summarizing related studies published in recent years including the work from our group, to discuss assay design strategies and typical examples of HTS methods, and to share our understanding on HTS method development for directed evolution of enzymes involved in specific catalytic reactions or metabolic pathways.

     

大鼠实验性脾虚证胰腺组织化学研究

用成年雄性Ｗｉｓｔａｒ大鼠３０只,分为（１）正常对照组,喂饲自来水。（２）脾虚组,用苦降破气中药和饮食失节法致成脾虚模型。（３）自然恢复组,动物致虚后,喂饲自来水。（４）中药治疗组。取四组动物胰腺进行ＲＮＡ,琥珀酸脱氢酶（ＳＤＨ）,乳酸脱氢酶（ＬＤＨ）,三磷酸腺苷酶（ＡＴＰａｓｅ）,葡萄糖－６－磷酸酶（Ｇ－６－Ｐａｓｅ）和硫胺素焦磷酸酶（ＴＰＰａｓｅ）组织化学反应和观察,并对ＳＤＨ,ＬＤＨ,ＲＮＡ进行了显微分光光度计定量测定。本研究结果表明,脾虚组胰腺泡细胞的ＲＮＡ,ＳＤＨ,ＡＴＰａｓｅ,Ｇ－６－Ｐａｓｅ,ＴＰＰａｓｅ含量和活性都低于对照组,而ＬＤＨ活性高于对照组。治疗组与自然恢复组相比,治疗组胰腺泡细胞以上指标接近对照组。定量测定与定性的结果一致。本研究表明,脾虚证时胰腺泡细胞上述几种酶活性和ＲＮＡ明显下降,可能在脾虚证发病中起主要作用,中药治疗有显著改善     

树木年轮 δ13C 值及其对我国北方大气CO2浓度变化的指示意义

 本文采样分析了承德市油松年轮中δ13C值自工业革命以来的变化,用以揭示我国北方大气CO2浓度的变化规律。结果表明：承德市油松年轮中的δ13C值自1810年以来平均下降了0.839‰,下降范围0.682‰～1.120‰,指示了大气CO2浓度逐渐升高的特点。δ13C值与历史时期全球大气CO2浓度之间存在显著相关关系(r＝ –0.5609,P<0.01)。应用树木年轮δ13C值与大气CO2浓度之间的关系式,推测出我国北方大气CO2浓度从工业革命以前的约278.4μmol·mol-1上升到目前的340μmol·mol-1。从而为我国的全球变化研究提供了CO2浓度历史变迁方面的证据。