Characterisation of a new Leishmania META gene and genomic analysis of the META cluster

The META1 gene of Leishmania is upregulated in metacyclic promastigotes and encodes a 12 kDa virulence-related protein, conserved in all Leishmania species analysed. In this study, the genomic region adjacent to the Leishmania amazonensis META1 gene was characterised and compared to the Leishmania major META1 locus as well as to syntenic loci identified in Trypanosoma brucei and Trypanosoma cruzi. Three new genes expressed with increased abundance of steady state mRNA in L. amazonensis promastigotes were identified, two of which are upregulated in stationary phase promastigotes, sharing the pattern of expression previously described for the META1 mRNA. One of these new genes, named META2, encodes a polypeptide of 444 amino acid residues with a repetitive structure showing three repeats of the META domain (defined as a small domain family found in the Leishmania META1 protein and in bacterial proteins hypothetically secreted and/or implicated in motility) and a carboxyl-terminal region similar to several putative calpain-like proteins of Trypanosoma and Leishmania.     

基于细菌群感效应人工构建分子开关

对生物体内已有的或者人工组装的生物合成途径进行优化操作涉及两个重要问题:代谢途径中关键酶的活性及蛋白表达水平。对于酶表达水平的研究,传统的做法是采用强启动子控制下的靶蛋白过量表达策略。靶蛋白的过量表达通常会导致细胞内积累大量的无活性包涵体,从而严重影响细胞的生理状态和相关生物途径的有效运转。针对这一问题,设计一种分子开关来精确调控生物合成过程中关键酶的表达水平,对于研究生物合成途径的代谢节律以及促进生物合成途径高效运转都具有重要的实用价值。基于细菌群落中普遍存在群感效应的基本原理并结合酶促催化的动力学特征,首先在大肠杆菌群落中建立信号分子高丝氨酸内酯(AHL)介导的细胞–细胞交流机制,将靶基因egfp置入到启动子PluxI的控制之下。在细胞生长过程中,产生的AHL累积到一定浓度启动靶基因表达。通过在细胞生长的不同阶段启动AHL降解酶AiiA的表达控制环境中信号分子AHL的浓度水平,从而控制靶基因egfp的转录效率,最终实现对靶蛋白EGFP表达水平的精确控制。通过检测细胞的生长状态、靶基因在mRNA水平、蛋白质水平的表达情况证明人工设计的分子开关可以便捷高效地控制靶基因表达水平,具有时空调节的严谨性。该分子开关有望广泛应用于代谢工程和合成生物学等研究领域中。     

以分子开关Ras蛋白为靶点的抗肿瘤药物研究进展

Ras原癌基因编码的蛋白是细胞信号转导中不可或缺的分子开关,在细胞增殖、分化、凋亡等生理过程中起着重要的作用。Ras基因的功能获得性突变是肿瘤发生和发展的重要驱动因素,因此多年来人们一直致力于靶向Ras蛋白的抗肿瘤药物研究。简介Ras的结构与功能及其与肿瘤的相关性,着重综述近年来靶向Ras的小分子抑制剂的研究进展。     

A new method for identifying rapid decline dynamics in wild vertebrate populations

Tracking trends in the abundance of wildlife populations is a sensitive method for assessing biodiversity change due to the short time‐lag between human pressures and corresponding shifts in population trends. This study tests for proposed associations between different types of human pressures and wildlife population abundance decline‐curves and introduces a method to distinguish decline trajectories from natural fluctuations in population time‐series. First, we simulated typical mammalian population time‐series under different human pressure types and intensities and identified significant distinctions in population dynamics. Based on the concavity of the smoothed population trend and the algebraic function which was the closest fit to the data, we determined those differences in decline dynamics that were consistently attributable to each pressure type. We examined the robustness of the attribution of pressure type to population decline dynamics under more realistic conditions by simulating populations under different levels of environmental stochasticity and time‐series data quality. Finally, we applied our newly developed method to 124 wildlife population time‐series and investigated how those threat types diagnosed by our method compare to the specific threatening processes reported for those populations. We show how wildlife population decline curves can be used to discern between broad categories of pressure or threat types, but do not work for detailed threat attributions. More usefully, we find that differences in population decline curves can reliably identify populations where pressure is increasing over time, even when data quality is poor, and propose this method as a cost‐effective technique for prioritizing conservation actions between populations.     

Proton affinity changes driving unidirectional proton transport in the bacteriorhodopsin photocycle

Bacteriorhodopsin is the smallest autonomous light-driven proton pump. Proposals as to how it achieves the directionality of its trans-membrane proton transport fall into two categories: accessibility-switch models in which proton transfer pathways in different parts of the molecule are opened and closed during the photocycle, and affinity-switch models, which focus on changes in proton affinity of groups along the transport chain during the photocycle. Using newly available structural data, and adapting current methods of protein protonation-state prediction to the non-equilibrium case, we have calculated the relative free energies of protonation microstates of groups on the transport chain during key conformational states of the photocycle. Proton flow is modeled using accessibility limitations that do not change during the photocycle. The results show that changes in affinity (microstate energy) calculable from the structural models are sufficient to drive unidirectional proton transport without invoking an accessibility switch. Modeling studies for the N state relative to late M suggest that small structural re-arrangements in the cytoplasmic side may be enough to produce the crucial affinity change of Asp96 during N that allows it to participate in the reprotonation of the Schiff base from the cytoplasmic side. Methodologically, the work represents a conceptual advance compared to the usual calculations of pK(a) using macroscopic electrostatic models. We operate with collective states of protonation involving all key groups, rather than the individual-group pK(a) values traditionally used. When combined with state-to-state transition rules based on accessibility considerations, a model for non-equilibrium proton flow is obtained. Such methods should also be applicable to other active proton-transport systems.     

An investigation of design principles underlying repulsive and attractive gradient sensing and their switching

Many important cellular processes rely on cellular responses to spatially graded signals. This response may be either attractive, indicating a positive bias, or repulsive indicating a negative bias. In this paper we consider cells which exhibit both repulsive and attractive gradient sensing responses and aim to uncover the underlying design principles and features of how the networks are wired which could allow a cell to exhibit both responses. We use a modular approach to examine different configurations which will allow for a cell to exhibit both responses and analyse how this depends on the basic characteristics of gradient sensing and downstream signal propagation. Overall our analysis provides insights into how gradient responses can be switched and the key factors which affect this switching.     

基于单链DNA开关调控的多功能生物电路

合成生物电路在生物传感及生物计算方面成为了广泛应用的工具。工程化生物电路系统具有良好的灵活性,同时也具备模块化的特征。在本文中,研究了基于单链DNA开关调控的多功能生物电路的构建方法。通过将计算机辅助设计的单链DNA开关作为核心控制元件,并利用长度为20 bp的toehold区域来激活单链DNA开关,驱动了简单的单向式、循环式以及级联的多层次的生物电路系统。在级联式电路系统中,通过调整单链DNA开关的结构,使信噪比从2.996变成5.274。同时,单链DNA开关作为长单链DNA（784 bp）的一部分,在无细胞蛋白质系统中实现了基因表达调控。因此,本文研究的工程化方法为今后复杂的人工生物电路的构建提供了坚实的技术基础。     

An Essential Role for ECSIT in Mitochondrial Complex I Assembly and Mitophagy in Macrophages

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