Use of synthetic signal sequences to explore the protein export machinery

The information for correct localization of newly synthesized proteins in both prokaryotes and eukaryotes resides in self-contained, often transportable targeting sequences. Of these, signal sequences specify that a protein should be secreted from a cell or incorporated into the cytoplasmic membrane. A central puzzle is presented by the lack of primary structural homology among signal sequences, although they share common features in their sequences. Synthetic signal peptides have enabled a wide range of studies of how these "zipcodes" for protein secretion are decoded and used to target proteins to the protein machinery that facilitates their translocation across and integration into membranes. We review research on how the information in signal sequences enables their passenger proteins to be correctly and efficiently localized. Synthetic signal peptides have made possible binding and crosslinking studies to explore how selectivity is achieved in recognition by the signal sequence-binding receptors, signal recognition particle, or SRP, which functions in all organisms, and SecA, which functions in prokaryotes and some organelles of prokaryotic origins. While progress has been made, the absence of atomic resolution structures for complexes of signal peptides and their receptors has definitely left many questions to be answered in the future.     

Histidine kinases and response regulators in networks

Two-component systems, composed of a histidine kinase (HK) and a response regulator (RR), are the major signal transduction devices in bacteria. Originally it was thought that these two components function as linear, phosphorylation-driven stimulus-response system. Here, we will review how accessory proteins are employed by HKs and RRs to mediate signal integration, scaffolding, interconnection and allosteric regulation, and how these two components are embedded in regulatory networks.     

Protein Clusters in Phosphotyrosine Signal Transduction

Signal transduction systems based on tyrosine phosphorylation are central to cell–cell communication in multicellular organisms. Typically, in such a system, the signal is initiated by activating tyrosine kinases associated with transmembrane receptors, which induces tyrosine phosphorylation of the receptor and/or associated proteins. The phosphorylated tyrosines then serve as docking sites for the binding of various downstream effector proteins. It has long been observed that the cooperative association of the receptors and effectors produces higher-order protein assemblies (clusters) following signal activation in virtually all phosphotyrosine signal transduction systems. However, mechanistic studies on how such clustering processes affect signal transduction outcomes have only emerged recently. Here we review current progress in decoding the biophysical consequences of clustering on the behavior of the system, and how clustering affects how these receptors process information.     

Microtubules and signal transduction

Although molecular components of signal transduction pathways are rapidly being identified, how elements of these pathways are positioned spatially and how signals traverse the intracellular environment from the cell surface to the nucleus or to other cytoplasmic targets are not well understood. The discovery of signaling molecules that interact with microtubules (MTs), as well as the multiple effects on signaling pathways of drugs that destabilize or hyperstabilize MTs, indicate that MTs are likely to be critical to the spatial organization of signal transduction. MTs themselves are also affected by signaling pathways and this may contribute to the transmission of signals to downstream targets.     

After-hyperpolarization currents and acetylcholine control sigmoid transfer functions in a spiking cortical model

Recurrent networks are ubiquitous in the brain, where they enable a diverse set of transformations during perception, cognition, emotion, and action. It has been known since the 1970’s how, in rate-based recurrent on-center off-surround networks, the choice of feedback signal function can control the transformation of input patterns into activity patterns that are stored in short term memory. A sigmoid signal function may, in particular, control a quenching threshold below which inputs are suppressed as noise and above which they may be contrast enhanced before the resulting activity pattern is stored. The threshold and slope of the sigmoid signal function determine the degree of noise suppression and of contrast enhancement. This article analyses how sigmoid signal functions and their shape may be determined in biophysically realistic spiking neurons. Combinations of fast, medium, and slow after-hyperpolarization (AHP) currents, and their modulation by acetylcholine (ACh), can control sigmoid signal threshold and slope. Instead of a simple gain in excitability that was previously attributed to ACh, cholinergic modulation may cause translation of the sigmoid threshold. This property clarifies how activation of ACh by basal forebrain circuits, notably the nucleus basalis of Meynert, may alter the vigilance of category learning circuits, and thus their sensitivity to predictive mismatches, thereby controlling whether learned categories code concrete or abstract information, as predicted by Adaptive Resonance Theory.     

Deciphering the language of cells

Long distance cell-to-cell or organism-to-organism communications may be accomplished by transmission and reception of electromagnetic signals through membrane receptors or enzymes. Consistent with this idea is the observation that membrane ATPases are capable of absorbing energy from oscillating electric fields of defined frequency and amplitude and using it to perform chemical work. The concept of the 'electroconformational coupling' is used to explain how an electric signal can modulate the activity of a membrane protein, and conversely, how an energy-dissipating reaction can produce an electric signal.     

Costly signalling: a work in progress

The Evolution of Animal Communication is a detailed examination of a wide variety of animal signalling systems. The main focus of the book is explaining how such signalling systems remain reliable when there is apparent evolutionary pressure to deceive. The principle strategy is to appeal to signal costs: signals remain reliable because the potential benefits of deceit are outweighed by the costs of producing the deceptive signal. In this review I show just how difficult this idea is to test, even in the simplest cases.     

Noise, sensitivity, and resolution of flow cytometers.

The sensitivity and resolution of flow cytometers are functions of the signal produced by a given particle as well as by the noise in the presence of which the signal is detected. The noise is primarily due to the fact that emission of light as well as its detection by photoelectric devises are stochastic processes. This fact leads to equations describing how resolution and sensitivity are limited by the magnitude of the signal, the background, and the photoelectron quantum yield of the detector. The equations are pointing to a method by which the signal and noise of a flow cytometer can be measured in absolute terms, as well as a way to determine fluorescence sensitivity without having to extrapolate to the noise level. The equations appear to be validated when applied to measuring data obtained with two different flow cytometers.     

Regret and the rationality of choices

Regret helps to optimize decision behaviour. It can be defined as a rational emotion. Several recent neurobiological studies have confirmed the interface between emotion and cognition at which regret is located and documented its role in decision behaviour. These data give credibility to the incorporation of regret in decision theory that had been proposed by economists in the 1980s. However, finer distinctions are required in order to get a better grasp of how regret and behaviour influence each other. Regret can be defined as a predictive error signal but this signal does not necessarily transpose into a decision-weight influencing behaviour. Clinical studies on several types of patients show that the processing of an error signal and its influence on subsequent behaviour can be dissociated. We propose a general understanding of how regret and decision-making are connected in terms of regret being modulated by rational antecedents of choice. Regret and the modification of behaviour on its basis will depend on the criteria of rationality involved in decision-making. We indicate current and prospective lines of research in order to refine our views on how regret contributes to optimal decision-making.     

Indirect defence of plants against herbivores: using Arabidopsis thaliana as a model plant

In their defence against pathogens, herbivorous insects, and mites, plants employ many induced responses. One of these responses is the induced emission of volatiles upon herbivory. These volatiles can guide predators or parasitoids to their herbivorous prey, and thus benefit both plant and carnivore. This use of carnivores by plants is termed indirect defence and has been reported for many plant species, including elm, pine, maize, Lima bean, cotton, cucumber, tobacco, tomato, cabbage, and Arabidopsis thaliana. Herbivory activates an intricate signalling web and finally results in defence responses such as increased production of volatiles. Although several components of this signalling web are known (for example the plant hormones jasmonic acid, salicylic acid, and ethylene), our understanding of how these components interact and how other components are involved is still limited. Here we review the knowledge on elicitation and signal transduction of herbivory-induced volatile production. Additionally, we discuss how use of the model plant Arabidopsis thaliana can enhance our understanding of signal transduction in indirect defence and how cross-talk and trade-offs with signal transduction in direct defence against herbivores and pathogens influences plant responses.     

Regulation of signal duration and the statistical dynamics of kinase activation by scaffold proteins

Scaffolding proteins that direct the assembly of multiple kinases into a spatially localized signaling complex are often essential for the maintenance of an appropriate biological response. Although scaffolds are widely believed to have dramatic effects on the dynamics of signal propagation, the mechanisms that underlie these consequences are not well understood. Here, Monte Carlo simulations of a model kinase cascade are used to investigate how the temporal characteristics of signaling cascades can be influenced by the presence of scaffold proteins. Specifically, we examine the effects of spatially localizing kinase components on a scaffold on signaling dynamics. The simulations indicate that a major effect that scaffolds exert on the dynamics of cell signaling is to control how the activation of protein kinases is distributed over time. Scaffolds can influence the timing of kinase activation by allowing for kinases to become activated over a broad range of times, thus allowing for signaling at both early and late times. Scaffold concentrations that result in optimal signal amplitude also result in the broadest distributions of times over which kinases are activated. These calculations provide insights into one mechanism that describes how the duration of a signal can potentially be regulated in a scaffold mediated protein kinase cascade. Our results illustrate another complexity in the broad array of control properties that emerge from the physical effects of spatially localizing components of kinase cascades on scaffold proteins.     

Cellular signaling: aspects for tumor diagnosis and therapy.

Cells are organic microsystems with functional compartments interconnected by complex signal chains. Intracellular signaling routes and signal reception from the extracellular environment are characterized by redundancy, i.e., parallel pathways exist. If a cell is exposed to an external "signal input", the signal processing elements within the cell provide a response that will be a pattern of reactions manifest as a metabolic, morphologic or electric "signal output". Cell-chip hybrid structures are miniaturized analytical systems with the capability to monitor such cell responses in real time and under continuous control of the environmental conditions. A system analysis approach gives an idea of how the biological component of these hybrid structures works. This is exemplified by the putative role of the microenvironmental pH as a parameter of the utmost importance for the malignant "mode" of tumor cells, which can be monitored and modeled on such hybrid structures.     

应用基因芯片筛选鼻咽癌信号转导相关基因

目的：建立具有组织特异性的鼻咽癌基因表达谱,筛选鼻咽癌中信号转导相关基因。方法：采用深圳微芯公司基于玻片的包含8046个人类基因的基因芯片,检测7例鼻咽癌组织及1例鼻咽炎组织,初步获得鼻咽癌异常表达基因;结合GO分类从异常表达的基因中筛选信号转导相关基因,以Biocarta信号通路数据库查询筛选基因相关转导信号通路信息。结果：在鼻咽癌组织独得1241个异常用表达基因,其中高表达基因871个,低表达基因343个。发现28个差异表达基因与细胞的信号转导相关,其中表达上调的21个,表达下调的7个。结论：成功建立了具有组织特异性的鼻咽癌基因表达谱,初步获得了鼻咽癌信号转导相关基因。     

Attraction vs. repulsion: the growth cone decides.

Axons are guided through their environment in response to signals provided by extracellular cues. These cues are transduced into motile responses by the tip of the growing axon, the growth cone, and can be either repulsive or attractive in nature. Recent studies have suggested that how an axon responds to any given signal depends on the internal state of the growth cone. This review discusses these studies and their importance for understanding how nerve connections are made in the developing embryo.     

Integration of growth factor and nutrient signaling: implications for cancer biology

Signaling networks that promote cell growth are frequently dysregulated in cancer. One regulatory network, which converges on effectors such as 4EBP1 and S6K1, leads to growth by promoting protein synthesis. Here, we discuss how this network is regulated by both extracellular signals, such as growth factors, and intracellular signals, such as nutrients. We discuss how mutations amplifying either type of signal can lead to tumor formation. In particular, we focus on the recent discovery that a tumor suppressor complex whose function is lost in tuberous sclerosis patients regulates the nutrient signal carried by the critical signaling protein TOR to the effectors 4EBP1 and S6K1. Finally, we describe how the small molecule rapamycin, which inhibits TOR and thereby the activation of these effectors, could be useful to treat tumors that have become dependent upon this pathway for growth.     

Defining a Conformational Consensus Motif in Cotransin-Sensitive Signal Sequences: A Proteomic and Site-Directed Mutagenesis Study

The cyclodepsipeptide cotransin was described to inhibit the biosynthesis of a small subset of proteins by a signal sequence-discriminatory mechanism at the Sec61 protein-conducting channel. However, it was not clear how selective cotransin is, i.e. how many proteins are sensitive. Moreover, a consensus motif in signal sequences mediating cotransin sensitivity has yet not been described. To address these questions, we performed a proteomic study using cotransin-treated human hepatocellular carcinoma cells and the stable isotope labelling by amino acids in cell culture technique in combination with quantitative mass spectrometry. We used a saturating concentration of cotransin (30 micromolar) to identify also less-sensitive proteins and to discriminate the latter from completely resistant proteins. We found that the biosynthesis of almost all secreted proteins was cotransin-sensitive under these conditions. In contrast, biosynthesis of the majority of the integral membrane proteins was cotransin-resistant. Cotransin sensitivity of signal sequences was neither related to their length nor to their hydrophobicity. Instead, in the case of signal anchor sequences, we identified for the first time a conformational consensus motif mediating cotransin sensitivity.     

昆虫滞育表观遗传调控的研究进展

滞育是昆虫躲避不良环境的一种策略,对延续昆虫种群具有重要意义。特别是昆虫的兼性滞育,能够受环境的周期性季节变化影响,表观遗传可能在其中扮演重要角色。表观遗传是不依赖DNA序列改变所产生的可遗传变异,包括DNA、RNA、蛋白质和染色质水平上的各种表观遗传调控过程,可能参与生物的发育可塑性。昆虫滞育表观遗传调控主要包括两个方面：一是表观遗传调控如何响应滞育诱导的环境信号;二是环境信号诱导的表观遗传调控如何作用昆虫滞育。尽管已有报道提示DNA甲基化可以响应光周期信号,组蛋白乙酰化能够耦联昆虫内分泌信号,但表观遗传调控参与昆虫滞育的具体机制尚不完全清楚。表观遗传调控昆虫滞育在不同滞育类型的昆虫中都有报道。对于同一滞育类型,不同表观遗传过程之间可能存在协同,这种协同作用如何响应环境信号,又如何精确调节昆虫滞育仍不得而知。总之,现有研究仅仅展示了表观遗传调控昆虫滞育的可能性,昆虫滞育表观遗传调控的分子机制亟待深入研究,特别是以下几个方面：(1)表观遗传响应滞育诱导环境信号的分子机制研究;(2)表观遗传耦联内分泌调控的分子机制研究;(3)介导表观遗传调控的细胞信号转导研究;(4)表观遗传的协同调控在昆虫滞育中的功能研究。     

TGF-beta signalling pathways in early Xenopus development

Many different ligands of the TGF-beta superfamily signal in the early Xenopus embryo and are required for the specification and patterning of the three germ layers as well as for gastrulation. Recent advances in the field are helping us understand how ligand activity is regulated both spatially and temporally, the mechanism by which the signals are transduced to the nucleus and how essentially the same signalling pathway can activate completely different sets of genes in different regions of the embryo.     

Signal Response Sensitivity in the Yeast Mitogen-Activated Protein Kinase Cascade

The yeast pheromone response pathway is a canonical three-step mitogen activated protein kinase (MAPK) cascade which requires a scaffold protein for proper signal transduction. Recent experimental studies into the role the scaffold plays in modulating the character of the transduced signal, show that the presence of the scaffold increases the biphasic nature of the signal response. This runs contrary to prior theoretical investigations into how scaffolds function. We describe a mathematical model of the yeast MAPK cascade specifically designed to capture the experimental conditions and results of these empirical studies. We demonstrate how the system can exhibit either graded or ultrasensitive (biphasic) response dynamics based on the binding kinetics of enzymes to the scaffold. At the basis of our theory is an analytical result that weak interactions make the response biphasic while tight interactions lead to a graded response. We then show via an analysis of the kinetic binding rate constants how the results of experimental manipulations, modeled as changes to certain of these binding constants, lead to predictions of pathway output consistent with experimental observations. We demonstrate how the results of these experimental manipulations are consistent within the framework of our theoretical treatment of this scaffold-dependent MAPK cascades, and how future efforts in this style of systems biology can be used to interpret the results of other signal transduction observations.