Evidence for Finely-Regulated Asynchronous Growth of Toxoplasma gondii Cysts Based on Data-Driven Model Selection

Toxoplasma gondii establishes a chronic infection by forming cysts preferentially in the brain. This chronic infection is one of the most common parasitic infections in humans and can be reactivated to develop life-threatening toxoplasmic encephalitis in immunocompromised patients. Host-pathogen interactions during the chronic infection include growth of the cysts and their removal by both natural rupture and elimination by the immune system. Analyzing these interactions is important for understanding the pathogenesis of this common infection. We developed a differential equation framework of cyst growth and employed Akaike Information Criteria (AIC) to determine the growth and removal functions that best describe the distribution of cyst sizes measured from the brains of chronically infected mice. The AIC strongly support models in which T. gondii cysts grow at a constant rate such that the per capita growth rate of the parasite is inversely proportional to the number of parasites within a cyst, suggesting finely-regulated asynchronous replication of the parasites. Our analyses were also able to reject the models where cyst removal rate increases linearly or quadratically in association with increase in cyst size. The modeling and analysis framework may provide a useful tool for understanding the pathogenesis of infections with other cyst producing parasites.     

Ser84是spindlin1定位与功能发挥的关键位点

spindlin1为作者所在研究组克隆并命名的肿瘤相关新基因,之前研究表明spindlin1蛋白定位于细胞核,并有可能通过对TCF-4通路的调节参与对肿瘤细胞生长和周期的调控．为进一步探索spindlin1的作用机制,明确spindlin1结构与功能的关系,在生物信息学分析及晶体结构解析的基础上,构建系列突变表达载体,首先以spindlin1蛋白亚细胞定位为指标,观察野生型及系列突变体spindlin1蛋白的亚细胞定位,并进一步检测野生型及突变体spindlin1对TCF-4荧光素酶报告基因转录活性的调控作用,以明确spindlin1定位与功能的关键位点．结果表明：Ser14＋Ser84、Ser84＋Ser99、Ser14＋Ser84＋Ser99位点Ser到Ala的联合突变能使野生型融合蛋白在细胞核内集中分布的特性消失,成为全细胞弥散分布,而Ser14、Ser84、Ser99各位点的单独突变或Ser14＋Ser99联合突变对spindlin1蛋白的细胞核内分布没有影响．与此同时,对TCF-4荧光素酶报告基因活性的分析表明,Ser14＋Ser84、Ser84＋Ser99、Ser14＋Ser84＋Ser99的联合突变使spindlin1对其活性的激活作用消失或降低．上述结果表明,Ser84是spindlin1细胞定位与功能发挥的关键位点,其作用发挥需要Ser14与Ser99的协助．     

果胶甲酯酶的结构与功能研究进展

果胶甲酯酶(PME)是一种重要的果胶酶,其水解果胶中的甲酯基从而释放甲醇并降低果胶的甲酯化程度。目前在食品加工、茶饮料、造纸等生产工艺中有着广泛的应用前景。随着对PME的深入研究,已报道了几种不同来源的酶晶体结构,对这些已获得的晶体结构进行分析发现,PME属于右手平行β-螺旋结构,其催化残基为2个保守的天冬氨酸和1个谷氨酰胺残基,并且在催化过程中分别起到了一般酸碱、亲核试剂以及稳定中间体的作用。同时对其底物特异性进行分析,初步了解其底物与活性位点的识别机制。文中针对这几个相关方面进行了系统的综述。     

The Rise of Textured Perovskite Morphology: Revolutionizing the Pathway toward High‐Performance Optoelectronic Devices

Halide perovskite materials have achieved overwhelming success in various optoelectronic applications, especially perovskite solar cells and perovskite‐based light‐emitting diodes (P‐LEDs), owing to their outstanding optical and electric properties. It is widely believed that flat and mirror‐like perovskite films are imperative for achieving high device performance, while the potential of other perovskite morphologies, such as the emerging textured perovskite, is overlooked, which leaves plenty of room for further breakthroughs. Compared to flat and mirror‐like perovskites, textured perovskites with unique structures, e.g., coral‐like, maze‐like, column‐like or quasi‐core@shell assemblies, are more efficient at light harvesting and charge extraction, thus revolutionizing the pathways toward ultrahigh performance in perovskite‐based optoelectronic devices. Employing a textured perovskite morphology, the record of external quantum efficiency for P‐LEDs is demonstrated as 21.6%. In this research news, recent progress in the utilization of textured perovskite is summarized, with the emphasis on the preparation strategies and prominent optoelectronic properties. The impact of the textured morphology on light harvesting, carrier dynamic management, and device performance is highlighted. Finally, the challenges and great potential of employing these innovative morphologies in fabricating more efficient optoelectronic devices, or creating a new energy harvesting and conversion regime are also provided.     

Molecular mechanisms of homeostatic plasticity in central pattern generator networks

Central pattern generator (CPG) networks rely on a balance of intrinsic and network properties to produce reliable, repeatable activity patterns. This balance is maintained by homeostatic plasticity where alterations in neuronal properties dynamically maintain appropriate neural output in the face of changing environmental conditions and perturbations. However, it remains unclear just how these neurons and networks can both monitor their ongoing activity and use this information to elicit homeostatic physiological responses to ensure robustness of output over time. Evidence exists that CPG networks use a mixed strategy of activity‐dependent, activity‐independent, modulator‐dependent, and synaptically regulated homeostatic plasticity to achieve this critical stability. In this review, we focus on some of the current understanding of the molecular pathways and mechanisms responsible for this homeostatic plasticity in the context of central pattern generator function, with a special emphasis on some of the smaller invertebrate networks that have allowed for extensive cellular‐level analyses that have brought recent insights to these questions.     

Revealing mechanism of Caulis Sargentodoxae for the treatment of ulcerative colitis based on network pharmacology approach

Objective: The traditional Chinese medicine Caulis Sargentodoxae is widely used in the treatment of ulcerative colitis (UC), but the mechanism remains unknown. The present study aims to reveal its effective components, targets and pathways through network pharmacology and bioinformatics approaches.Materials and methods: Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP) was used to identify effective components. The ligand-based targets prediction was achieved through SwissTargetPrediction and TargetNet. UC-related targets were identified using Gene Expression Omnibus (GEO) data and DisGeNET. The common targets of disease and components were constructed and analyzed by PPI network. Lastly, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses are used to explain the functions of these common targets. Components-Targets-Pathways network was visualized and analyzed to further reveal the connection between the components and targets.Results: Eight active components and 102 key targets were identified to play an important role in UC. These targets were related to regulation of protein serine/threonine kinase activity, positive regulation of cell motility, response to molecule of bacterial origin, response to toxic substance, ERK1 and ERK2 cascade, peptidyl-tyrosine modification, inositol lipid-mediated signaling, cellular response to drug, regulation of inflammatory response and leukocyte migration. Moreover, HIF-1 signaling pathway and PI3K-Akt signaling pathway were the key targets involved in UC-related signaling pathways.Conclusion: The eight active components of Caulis Sargentodoxae mainly play a therapeutic role for UC through synergistic regulation of HIF-1 signaling pathway and PI3K-Akt signaling pathway.