辐射诱导的染色质拓扑关联结构域层级变化及其在细胞辐射响应中的作用

基因组三维结构在基因表达调控中发挥重要作用,染色质拓扑关联结构域(topologically associated domain,TAD)是DNA复制和基因转录的基本功能单位,也是DNA损伤修复的功能单元,在辐射诱导的DNA损伤修复中发挥重要作用。近期研究表明,TAD并非是完全独立的结构单元,其内部常呈现多层级结构,对基因表达具有重要调控作用。为探究TAD多层级结构在细胞辐射响应中的作用,本研究使用TAD层级结构识别算法OnTAD对Gene expression omnibus数据库中5Gy X射线照射的淋巴细胞、成纤维细胞和毛细血管扩张性共济失调突变(ataxia telangiectasia mutated,ATM)基因缺陷的成纤维细胞,共26个样本的Hi-C(high-through chromosome conformation capture,Hi-C)数据进行分析,发现辐射后细胞的TAD层级结构出现规律性变化,高层级TAD缺失较多,低层级TAD相对保守;辐射诱导的TAD层级结构变化通过调节基因表达参与细胞辐射响应;ATM是辐射诱导TAD层级结构变化和恢复的重要因子。本研究为从TAD多层级结构角度理解基因组三维结构在细胞辐射响应中的作用提供了新思路。     

泛素化在植物抗病中的作用

泛素化作为植物体内一种广泛存在的调控细胞反应的机制,参与调控植物抗病反应。本文综述了泛素化系统在植物抗病反应中的功能及作用机制,重点介绍了CRLs型E3泛素连接酶和RING/U-box型E3泛素连接酶如何参与调控植物抗病信号途径,以及病原物通过效应蛋白和毒性因子调控植物抗病性的分子机理,为阐明植物抗病机理和植物病害防治方法提供参考。     

Dynamics control of semantic processes in a hierarchical associative memory

A neural mechanism for control of dynamics and function of associative processes in a hierarchical memory system is demonstrated. For the representation and processing of abstract knowledge, the semantic declarative memory system of the human brain is considered. The dynamics control mechanism is based on the influence of neuronal adaptation on the complexity of neural network dynamics. Different dynamical modes correspond to different levels of the ultrametric structure of the hierarchical memory being invoked during an associative process. The mechanism is deterministic but may also underlie free associative thought processes. The formulation of an abstract neural network model of hierarchical associative memory utilizes a recent approach to incorporate neuronal adaptation. It includes a generalized neuronal activation function recently derived by a Hodgkin-Huxley-type model. It is shown that the extent to which a hierarchically organized memory structure is searched is controlled by the neuronal adaptability, i.e. the strength of coupling between neuronal activity and excitability. In the brain, the concentration of various neuromodulators in turn can regulate the adaptability. An autonomously controlled sequence of bifurcations, from an initial exploratory to a final retrieval phase, of an associative process is shown to result from an activity-dependent release of neuromodulators. The dynamics control mechanism may be important in the context of various disorders of the brain and may also extend the range of applications of artificial neural networks.     

Angiogenesis in the mouse retina: a model system for experimental manipulation

The vascular system of the mouse retina provides a useful model for analyzing the molecular and cellular mechanisms regulating angiogenesis because (1) hierarchical vascular networks are newly formed only after birth, (2) the cellular components involved in angiogenesis are well characterized, and (3) all the processes are accessible for monitoring and manipulation. In this article, we present an overview of our current understanding of the process of retinal angiogenesis and describe a number of methodologies applicable to experimental manipulation of the retinal vascular system.     

Dynamics control of semantic processes in a hierarchical associative memory

 A neural mechanism for control of dynamics and function of associative processes in a hierarchical memory system is demonstrated. For the representation and processing of abstract knowledge, the semantic declarative memory system of the human brain is considered. The dynamics control mechanism is based on the influence of neuronal adaptation on the complexity of neural network dynamics. Different dynamical modes correspond to different levels of the ultrametric structure of the hierarchical memory being invoked during an associative process. The mechanism is deterministic but may also underlie free associative thought processes. The formulation of an abstract neural network model of hierarchical associative memory utilizes a recent approach to incorporate neuronal adaptation. It includes a generalized neuronal activation function recently derived by a Hodgkin-Huxley-type model. It is shown that the extent to which a hierarchically organized memory structure is searched is controlled by the neuronal adaptability, i.e. the strength of coupling between neuronal activity and excitability. In the brain, the concentration of various neuromodulators in turn can regulate the adaptability. An autonomously controlled sequence of bifurcations, from an initial exploratory to a final retrieval phase, of an associative process is shown to result from an activity-dependent release of neuromodulators. The dynamics control mechanism may be important in the context of various disorders of the brain and may also extend the range of applications of artificial neural networks. Received: 19 April 1995/Accepted in revised form: 8 August 1995     

SCI/MIP-1 alpha: a potent stem cell inhibitor with potential roles in development.

The hemopoietic system represents a complex adult developmental system which allows the study of mechanisms of stem cell proliferative control and differentiation commitment. It is likely that information obtained from this model system will have implications for control processes regulating other hierarchical systems in the developing embryo as well as in the adult animal. We have recently identified and isolated a potent inhibitor of hemopoietic stem cell proliferation which we have labeled SCI/MIP-1 alpha. This inhibitor is also active on clonogenic epidermal cells and may thus be a more general stem cell inhibitor than was previously believed. The biology of this peptide is outlined in more detail below and the potential roles for such a factor in the developing embryo are also discussed.     

A computer simulation study of the hierarchical assembly behaviour of triblock patchy particles

We study the hierarchical self-assembly behaviour of ACB triblock patchy particles via Brownian dynamics (BD) simulations, where the product of the first stage is set as the initial structure for the second stage. We offer a promising design rule to investigate the assembly mechanism of ACB triblock patchy particles in selective solvent conditions by two-stage optimisation. At the first stage, the attractive hydrophobic interactions only exist between patches A at low concentration in order to generate subunits. At the second stage, the attractions also exist between patches B for studying the assembly process from subunits to target structures by heating/cooling method. By regulating the interactions between patches B as well as the concentrations of patchy particles, the ordered structures that determined by various influence factors are studied. Via properly designing the assembly models and routes, we can observe the formation process of simple cubic lattice and kagome lattice structures, respectively. The results reveal that the concentration and attractive strength play the critical roles in the whole process of hierarchical self-assembly.     

A novel biologically and psychologically inspired fuzzy decision support system: hierarchical complementary learning

A computational intelligent system that models the human cognitive abilities may promise significant performance in problem learning because human is effective in learning and problem solving. Functionally modelling the human cognitive abilities not only avoids the details of the underlying neural mechanisms performing the tasks, but also reduces the complexity of the system. The complementary learning mechanism is responsible for human pattern recognition, i.e. human attends to positive and negative samples when making decision. Furthermore, human concept learning is organized in a hierarchical fashion. Such hierarchical organization allows the divide-and-conquer approach to the problem. Thus, integrating the functional models of hierarchical organization and complementary learning can potentially improve the performance in pattern recognition. Hierarchical complementary learning (HCL) exhibits many of the desirable features of pattern recognition. It is further supported by the experimental results that verify the rationale of the integration and that the HCL system is a promising pattern recognition tool.     

台湾地区全民健保下分级诊疗制度之借鉴

借鉴我国台湾地区全民健保下分级诊疗制度,落实和完善现行分级诊疗制度以保证医疗资源的合理配置。利用文献分析,对比研究两岸不同卫生体制下分级诊疗制度实施现状,结合专家访谈的形式明确台湾分级诊疗制度的特点。通过建立短期医疗网计划、成立社区医疗群、改革医保补偿机制、构筑医联体等方式优化分级诊疗制度。     

An Object-Oriented Modeling and Simulation Environment for Reactive Systems Development

An environment to support the modeling, analysis, simulation, and development of state transition models, SMOOCHES (State Machines for Object-Oriented Concurrent Hierarchical Engineering Specifications), is presented. SMOOCHES allows the hierarchical construction, analysis, and simulation of state transition models in an object-oriented distributed environment. Statecharts (see Harel 1987b), a powerful mechanism for state transition specification, are fundamental to the development of SMOOCHES. To assist in the specification of hierarchical state transition models for distributed and reactive systems, statecharts are extended by introducing the concept of exit-safe states. SMOOCHES allows the specification of objects in the system with hierarchical state transition models and the derivation of new classes of objects through inheritance. A graphical monitoring system has been developed to represent and simulate the object state life cycles and monitor event generations. The example presented illustrates the modeling and simulation of different state life cycles of an assembly robot.     

哺乳动物生物钟与能量代谢的相关研究进展

生物钟广泛存在于各种生物体中,是生命体的一种内源调节机制。哺乳动物生物钟系统与机体营养代谢和能量平衡有着密切的关系。概述了生物钟系统通过营养途径、限速酶途径、核受体途径对哺乳动物机体代谢活动和能量平衡的调控,以及哺乳动物代谢稳态对生物钟系统的影响,从而为从生物钟调控的角度治疗和防控代谢综合征提供新的思路。     

嗜肺军团菌调节宿主泛素化途径的效应因子及其分子机制研究进展

嗜肺军团菌是一种胞内寄生菌,其通过特有的Dot/IcmType-IVB分泌系统向胞浆内分泌大量效应因子,其中已知参与宿主泛素化调控的效应因子有十多种.这些效应因子通过对宿主泛素化途径进行调控来达到逃避宿主免疫系统"监视"并大量增殖的目的.参与调控宿主泛素化途径的效应因子包括 AnkB、SidC、LubX、SidH、Le...     

Biological hierarchies and the nature of extinction

Hierarchy theory recognises that ecological and evolutionary units occur in a nested and interconnected hierarchical system, with cascading effects occurring between hierarchical levels. Different biological disciplines have routinely come into conflict over the primacy of different forcing mechanisms behind evolutionary and ecological change. These disconnects arise partly from differences in perspective (with some researchers favouring ecological forcing mechanisms while others favour developmental/historical mechanisms), as well as differences in the temporal framework in which workers operate. In particular, long‐term palaeontological data often show that large‐scale (macro) patterns of evolution are predominantly dictated by shifts in the abiotic environment, while short‐term (micro) modern biological studies stress the importance of biotic interactions. We propose that thinking about ecological and evolutionary interactions in a hierarchical framework is a fruitful way to resolve these conflicts. Hierarchy theory suggests that changes occurring at lower hierarchical levels can have unexpected, complex effects at higher scales due to emergent interactions between simple systems. In this way, patterns occurring on short‐ and long‐term time scales are equally valid, as changes that are driven from lower levels will manifest in different forms at higher levels. We propose that the dual hierarchy framework fits well with our current understanding of evolutionary and ecological theory. Furthermore, we describe how this framework can be used to understand major extinction events better. Multi‐generational attritional loss of reproductive fitness (MALF) has recently been proposed as the primary mechanism behind extinction events, whereby extinction is explainable solely through processes that result in extirpation of populations through a shutdown of reproduction. While not necessarily explicit, the push to explain extinction through solely population‐level dynamics could be used to suggest that environmentally mediated patterns of extinction or slowed speciation across geological time are largely artefacts of poor preservation or a coarse temporal scale. We demonstrate how MALF fits into a hierarchical framework, showing that MALF can be a primary forcing mechanism at lower scales that still results in differential survivorship patterns at the species and clade level which vary depending upon the initial environmental forcing mechanism. Thus, even if MALF is the primary mechanism of extinction across all mass extinction events, the primary environmental cause of these events will still affect the system and result in differential responses. Therefore, patterns at both temporal scales are relevant.     

蛋白磷酸化修饰在植物-病原微生物互作中的作用研究进展

蛋白磷酸化修饰是植物细胞信号调控的普遍机制。植物-病原微生物互作过程中, 关键调控蛋白的磷酸化状态影响免疫信号的激活。多种病原微生物通过干扰宿主蛋白的磷酸化状态攻击免疫系统, 以提高致病性。该文对植物免疫调控过程中关键元件的磷酸化修饰及其在免疫信号中的调控作用进行了综述。研究植物-病原菌互作过程中关键蛋白的磷酸化修饰, 有助于深入探讨植物-病原微生物互作的分子机理。该文将为寻找广谱抗病的新途径提供理论依据。     

细菌的信号转导系统及其在耐药中的作用

耐药菌的日益增多给临床治疗带来巨大的困难,揭示耐药机制成为遏制耐药菌的基本环节.细菌的信号系统是菌体之间信息交流的主要渠道,在调控细菌耐药性方面发挥重要的作用.本文梳理了细菌双组分系统、群体感应系统、第二信使、吲哚等细菌信号系统(分子)与细菌耐药性的关系,总结了各信号系统调控细菌耐药性的机制和途径,包括调控生物膜的形成...     

A hierarchical spatiotemporal analog forecasting model for count data

Analog forecasting is a mechanism‐free nonlinear method that forecasts a system forward in time by examining how past states deemed similar to the current state moved forward. Previous applications of analog forecasting has been successful at producing robust forecasts for a variety of ecological and physical processes, but it has typically been presented in an empirical or heuristic procedure, rather than as a formal statistical model. The methodology presented here extends the model‐based analog method of McDermott and Wikle (Environmetrics, 27, 2016, 70) by placing analog forecasting within a fully hierarchical statistical framework that can accommodate count observations. Using a Bayesian approach, the hierarchical analog model is able to quantify rigorously the uncertainty associated with forecasts. Forecasting waterfowl settling patterns in the northwestern United States and Canada is conducted by applying the hierarchical analog model to a breeding population survey dataset. Sea surface temperature (SST) in the Pacific Ocean is used to help identify potential analogs for the waterfowl settling patterns.     

产Ⅱ类细菌素乳酸菌群体感应及其应用

群体感应(quorum sensing,QS)是微生物通过感知与细胞密度相关的信号分子的浓度来调控基因表达的一种行为。许多产Ⅱ类细菌素乳酸菌通过自诱导肽介导的QS系统调控其细菌素的合成。本文综述了乳酸菌Ⅱ类细菌素合成的QS调控现象、调控机制、QS系统组分以及QS的应用。产Ⅱ类细菌素乳酸菌QS的研究,必将为揭示发酵调控机理、调控发酵过程提供新的研究平台,为食品级基因表达系统的开发提供新的选择。     

综述与专论：细菌的信号转导系统及其在耐药中的作用

耐药菌的日益增多给临床治疗带来巨大的困难,揭示耐药机制成为遏制耐药菌的基本环节。细菌的信号系统是菌体之间信息交流的主要渠道,在调控细菌耐药性方面发挥重要的作用。本文梳理了细菌双组分系统、群体感应系统、第二信使、吲哚等细菌信号系统(分子)与细菌耐药性的关系,总结了各信号系统调控细菌耐药性的机制和途径,包括调控生物膜的形成、调节药物外排泵的活性、激活抗生素灭活酶、提高耐药基因表达水平、促进耐药基因转移、修饰细胞壁结构等,涉及到细菌耐药的多个环节。各信号系统不仅可以独立调控耐药,还可以互相作用,形成调控网络,从多个层面调节细菌耐药性。因此,靶向细菌信号系统,阻断菌体之间的信号联络,有望成为遏制细菌耐药性日益严重的新策略。     

The role of blood flow and microRNAs in blood vessel development

The circulatory system is the first organ system that develops during embryogenesis, and is essential for embryo viability and survival. Crucial for developing a functional vasculature are the specification of arterial-venous identity in vessels and the formation of a hierarchical branched vascular network. Sprouting angiogenesis, intussusception, and flow driven remodeling events collectively contribute to establishing the vascular architecture. At the molecular level, arterial-venous identity and branching are regulated by genetically hardwired mechanisms involving Notch, vascular endothelial growth factor and neural guidance molecule signaling pathways, modulated by hemodynamic factors. MicroRNAs are small, non-coding RNAs that act as silencers to fine-tune the gene expression profile. MicroRNAs are known to influence cell fate decisions, and microRNA expression can be controlled by blood flow, thus placing microRNAs potentially at the center of the genetic cascades regulating vascular differentiation. In the present review, we summarize current progress regarding microRNA functions in blood vessel development with an emphasis on studies performed in zebrafish and mouse models.