Current topics in signal transduction in bacteria

Among the signal transfer systems in bacteria two types predominate: two-component regulatory systems and quorum sensing systems. Both types of system can mediate signal transfer across the bacterial cell envelope; however, the signalling molecule typically is not taken up into the cells in the former type of system, whereas it usually is in the latter. The Two-component systems include the recently described (eukaryotic) phosphorelay systems; quorum sensing systems can be based upon autoinducers of the N-acylated homoserine lactones, and on autoinducers of a peptidic nature. A single bacterial cell contains many signalling modules that primarily operate in parallel. This may give rise to neural-network behaviour. Recently, however, for both types of basic signal transfer modules, it has been demonstrated that they also can be organised in series (i.e. in a hierarchical order). Besides their hierarchical position in the signal transduction network of the cell, the spatial distribution of individual signalling modules may also be an important factor in their efficiency in signal transfer. Many challenges lie hidden in future work to understand these signal transfer processes in more detail. These are discussed here, with emphasis on the mutual interactions between different signal transfer processes. Successful contributions to this work will require rigorous mathematical modelling of the performance of signal transduction components, and -networks, as well as studies on light-sensing signal transduction systems, because of the unsurpassed time resolution obtainable in those latter systems, the opportunity to apply repeated reproducible stimuli, etc. The increased understanding of bacterial behaviour that already has resulted – and may further result – from these studies, can be used to fine-tune the beneficial activities of bacteria and/or more efficiently inhibit their deleterious ones.     

A signal transfer system through three compartments transduces the plant cell contact-dependent signal controlling Ralstonia solanacearum hrp genes

Ralstonia solanacearum hrp genes encode a type III secretion system required for disease development in host plants and for hypersensitive response elicitation on non-hosts. hrp genes are expressed in the presence of plant cells through the HrpB regulator. This activation, which requires physical interaction between the bacteria and the plant cell, is sensed by the outer membrane receptor PrhA. PrhA transduces the plant cell contact-dependent signal through a complex regulatory cascade integrated by the PrhJ, HrpG, and HrpB regulators. In this study, we have identified two genes, named prhI and prhR, that belong to the hrp gene cluster and whose predicted products show homology with extracytoplasmic function sigma factors and transmembrane proteins, respectively. Strains carrying a mutation in prhIR show a delayed pathogenic phenotype toward host plants. PrhIR control the plant cell contact-dependent activation of hrp genes. prhIR gene expression is induced by a signal present in the plant cell coculture that is not PrhA-dependent. Genetic evidence shows that PrhIR act upstream of PrhJ in the regulatory cascade, likely transducing the signal sensed by PrhA through the periplasm as described for signal transfer systems through three compartments. This is the first report of such a surface signaling mechanism activating pathogenicity determinants in response to a nondiffusible plant cell wall signal.     

Utilization of adenovirus vectors for multiple gene transfer applications

Mammalian viruses have evolved over millions of years to achieve a single goal, namely to rapidly enter a host mammalian cell, in order to achieve virus propagation. In so doing, these biologic parasites have acquired the molecular tools to rapidly and efficiently deliver their own nucleic acids into the nucleus of the host cell. The human adenovirus is one of the best studied of these parasites. As such the adenovirus has been re-engineered to allow it to be used as a tool to allow researchers to deliver desired nucleic acid sequences into a large variety of cell targets, both in tissue culture systems, as well as directly into living animals. Adenovirus based gene transfer systems can overcome most of the problems inherent to high efficiency gene transfer, and perform in a fashion that in many ways cannot be matched by most other currently utilized gene transfer systems. This article will attempt to summarize the multiple attributes of this widely utilized gene delivery system.     

Transfer Functions for Protein Signal Transduction: Application to a Model of Striatal Neural Plasticity

We present a novel formulation for biochemical reaction networks in the context of protein signal transduction. The model consists of input-output transfer functions, which are derived from differential equations, using stable equilibria. We select a set of “source” species, which are interpreted as input signals. Signals are transmitted to all other species in the system (the “target” species) with a specific delay and with a specific transmission strength. The delay is computed as the maximal reaction time until a stable equilibrium for the target species is reached, in the context of all other reactions in the system. The transmission strength is the concentration change of the target species. The computed input-output transfer functions can be stored in a matrix, fitted with parameters, and even recalled to build dynamical models on the basis of state changes. By separating the temporal and the magnitudinal domain we can greatly simplify the computational model, circumventing typical problems of complex dynamical systems. The transfer function transformation of biochemical reaction systems can be applied to mass-action kinetic models of signal transduction. The paper shows that this approach yields significant novel insights while remaining a fully testable and executable dynamical model for signal transduction. In particular we can deconstruct the complex system into local transfer functions between individual species. As an example, we examine modularity and signal integration using a published model of striatal neural plasticity. The modularizations that emerge correspond to a known biological distinction between calcium-dependent and cAMP-dependent pathways. Remarkably, we found that overall interconnectedness depends on the magnitude of inputs, with higher connectivity at low input concentrations and significant modularization at moderate to high input concentrations. This general result, which directly follows from the properties of individual transfer functions, contradicts notions of ubiquitous complexity by showing input-dependent signal transmission inactivation.     

Compact Modeling of Allosteric Multisite Proteins: Application to a Cell Size Checkpoint

We explore a framework to model the dose response of allosteric multisite phosphorylation proteins using a single auxiliary variable. This reduction can closely replicate the steady state behavior of detailed multisite systems such as the Monod-Wyman-Changeux allosteric model or rule-based models. Optimal ultrasensitivity is obtained when the activation of an allosteric protein by its individual sites is concerted and redundant. The reduction makes this framework useful for modeling and analyzing biochemical systems in practical applications, where several multisite proteins may interact simultaneously. As an application we analyze a newly discovered checkpoint signaling pathway in budding yeast, which has been proposed to measure cell growth by monitoring signals generated at sites of plasma membrane growth. We show that the known components of this pathway can form a robust hysteretic switch. In particular, this system incorporates a signal proportional to bud growth or size, a mechanism to read the signal, and an all-or-none response triggered only when the signal reaches a threshold indicating that sufficient growth has occurred.     

Euroconference on the Biology of Type IV Secretion Processes: bacterial gates into the outer world

Type IV secretion systems (T4SSs) mediate both protein and ssDNA secretion from a wide range of bacteria into virtually any cell type or into the milieu. It is this versatility that confers on them the ability to participate in many processes of bacterial life that imply communication with their environment. Type IV secretion systems are involved in horizontal DNA transfer to other bacteria and to plant cells, in DNA uptake from the milieu, in toxin secretion into the milieu, and in the injection of virulence factors into the eukaryotic host cell in a number of mammalian and plant pathogens. Recently, a EuroConference addressed the different aspects of the biology of these transmembrane multiprotein complexes, from the crystal structure of the individual components to the modification that the secreted substrates induce in the recipient cell. Significant progress has been made in the understanding of the molecular architecture and mechanism of secretion. The analysis of protein-protein interactions confirms the role of coupling proteins as substrate recruiters for the transporter. The VirB10 component of the complex has come up as a strong candidate for signal transducer. The wide range of effects on the recipient suggests that many effector proteins are secreted. New effector proteins are being identified for both plant and animal pathogens, as are their targets within the host cells. New T4SS members are being identified that perform novel roles, beyond DNA transfer and virulence, such as establishment of symbiotic processes. Our current knowledge of the Biology of Type IV Secretion Processes increases our ability to exploit them as biotechnological tools or to use them as new targets for inhibitors that could constitute a new generation of antimicrobials in the near future.     

Rap G protein signal in normal and disordered lymphohematopoiesis

Rap proteins (Rap1, Rap2a, b, c) are small molecular weight GTPases of the Ras family. Rap G proteins mediate diverse cellular events such as cell adhesion, proliferation, and gene activation through various signaling pathways. Activation of Rap signal is regulated tightly by several specific regulatory proteins including guanine nucleotide exchange factors and GTPase-activating proteins. Beyond cell biological studies, increasing attempts have been made in the past decade to define the roles of Rap signal in specific functions of normal tissue systems as well as in cancer. In the immune and hematopoietic systems, Rap signal plays crucial roles in the development and function of essentially all lineages of lymphocytes and hematopoietic cells, and importantly, deregulated Rap signal may lead to unique pathological conditions depending on the affected cell types, including various types of leukemia and autoimmunity. The phenotypical studies have unveiled novel, even unexpected functional aspects of Rap signal in cells from a variety of tissues, providing potentially important clues for controlling human diseases, including malignancy.     

From computational modelling of the intrinsic apoptosis pathway to a systems-based analysis of chemotherapy resistance: achievements,perspectives and challenges in systems medicine

Our understanding of the mitochondrial or intrinsic apoptosis pathway and its role in chemotherapy resistance has increased significantly in recent years by a combination of experimental studies and mathematical modelling. This combined approach enhanced the quantitative and kinetic understanding of apoptosis signal transduction, but also provided new insights that systems-emanating functions (i.e., functions that cannot be attributed to individual network components but that are instead established by multi-component interplay) are crucial determinants of cell fate decisions. Among these features are molecular thresholds, cooperative protein functions, feedback loops and functional redundancies that provide systems robustness, and signalling topologies that allow ultrasensitivity or switch-like responses. The successful development of kinetic systems models that recapitulate biological signal transduction observed in living cells have now led to the first translational studies, which have exploited and validated such models in a clinical context. Bottom-up strategies that use pathway models in combination with higher-level modelling at the tissue, organ and whole body-level therefore carry great potential to eventually deliver a new generation of systems-based diagnostic tools that may contribute to the development of personalised and predictive medicine approaches. Here we review major achievements in the systems biology of intrinsic apoptosis signalling, discuss challenges for further model development, perspectives for higher-level integration of apoptosis models and finally discuss requirements for the development of systems medical solutions in the coming years.     

Bacterial observations: a rudimentary form of intelligence?

Genome sequencing has revealed that signal transduction in bacteria makes use of a limited number of different devices, such as two-component systems, LuxI-LuxR quorum-sensing systems, phosphodiesterases, Ser-Thr (serine-threonine) kinases, OmpR-type regulators, and sigma factor-anti-sigma factor pathways. These systems use modular proteins with a large variety of input and output domains, yet strikingly conserved transmission domains. This conservation might lead to redundancy of output function, for example, via crosstalk (i.e. phosphoryl transfer from a non-cognate sensory kinase). The number of similar devices in a single cell, particularly of the two-component type, might amount to several dozen, and most of these operate in parallel. This could bestow bacteria with cellular intelligence if the network of two-component systems in a single cell fulfils the requirements of a neural network. Testing these ideas poses a great challenge for prokaryotic systems biology.     

Measurement of cytoplasmic fluorescence depolarization of single cells in a flow system.

We have built a flow system in which we can analyze and sort individual viable cells on the basis of their cytoplasmic microviscosity. The average cytoplasmic microviscosity (or cytoplasmic structuredness) of a cell can be quantitated by exciting fluorescein molecules in the cytoplasm of the cell with a polarized light source and measuring the extent of depolarization of the fluorescent signal. Changes in the state of a cell (e.g., the reception of a signal inducing the cell to differentiate) often appear to be associated with changes in cytoplasmic microviscosity, these changes being detectable within hours of the inducing signal. An example of one such change is presented.     

Transfer and expression of foreign genes in mammalian cells

The transfer of foreign genes into eukaryotic cells, in particular mammalian cells, has been essential to our understanding of the functional significance of genes and regulatory sequences as well as the development of gene therapy strategies. To this end, different mammalian expression vector systems have been designed. The choice of a particular expression system depends on the nature and purpose of the study and will involve selecting particular parameters of expression systems such as the type of promoter/enhancer sequences, the type of expression (transient versus stable) and the level of desired expression. In addition, the success of the study depends on efficient gene transfer. The purification of the expression vectors, as well as the transfer method, affects transfection efficiency. Numerous approaches have been developed to facilitate the transfer of genes into cells via physical, chemical or viral strategies. While these systems have all been effective in vitro they need to be optimized for individual cell types and, in particular, for in vivo transfection.     

VicRK(YycFG)双组分调节系统

细菌双组分调节系统,或称之为双组分信号转导系统,是细菌感应外界多变环境,维持自身存活和生长繁衍的重要感应系统.在这些调节系统中,最早发现于枯草芽孢杆菌的VicRK(YycFG)系统因与细胞存活密切相关而倍受关注.该系统存在于少数低G+C含量的革兰氏阳性菌中,包括金黄色葡萄球菌和肺炎链球菌等致病菌,高度保守.许多证据显示,VicRK(YycFG)具有调控细胞壁合成与代谢、胞膜完整、细胞分裂、脂类代谢、多糖合成与被膜形成以及细菌毒力等多种功能,参与细胞的生长、分裂与感染.该系统异常可导致细菌生活力严重下降,甚至死亡,因而成为防治该类病原菌的重要靶标.     

Ionic signaling in plant responses to gravity and touch

Touch and gravity are two of the many stimuli that plants must integrate to generate an appropriate growth response. Due to the mechanical nature of both of these signals, shared signal transduction elements could well form the basis of the cross-talk between these two sensory systems. However, touch stimulation must elicit signaling events across the plasma membrane whereas gravity sensing is thought to represent transformation of an internal force, amyloplast sedimentation, to signal transduction events. In addition, factors such as turgor pressure and presence of the cell wall may also place unique constraints on these plant mechanosensory systems. Even so, the candidate signal transduction elements in both plant touch and gravity sensing, changes in Ca2+, pH and membrane potential, do mirror the known ionic basis of signaling in animal mechanosensory cells. Distinct spatial and temporal signatures of Ca2+ ions may encode information about the different mechanosignaling stimuli. Signals such as Ca2+ waves or action potentials may also rapidly transfer information perceived in one cell throughout a tissue or organ leading to the systemic reactions characteristic of plant touch and gravity responses. Longer-term growth responses are likely sustained via changes in gene expression and asymmetries in compounds such as inositol-1,4,5-triphosphate (IP3) and calmodulin. Thus, it seems likely that plant mechanoperception involves both spatial and temporal encoding of information at all levels, from the cell to the whole plant. Defining this patterning will be a critical step towards understanding how plants integrate information from multiple mechanical stimuli to an appropriate growth response.     

In vitro study of the biology of small cell carcinoma of the lung

We have developed three types of experimental systems for the study of SCCL: (1) serially heterotransplanted tumors in athymic nude mice; (2) continuous, clonable cell cultures; and (3) direct clonogenic assays for tumor specimens. These systems have their own individual advantages, applications, and limitations, but these are interrelated and complementary. The study of these systems has greatly aided our understanding of the biology of SCCL, and its relationship to other lung cancers and the APUD cell system. In addition, new markers for SCCL have been identified, such as a creatine kinase and its BB isoenzyme (CK-BB). These cellular markers may have clinical applications, as serum levels of CK-BB are an indicator of tumor burden. Assays for clonogenic tumor cells may permit selection of optimal drug combinations for the treatment of individual tumors. Variant cultures having the morphology of SCCL, but lacking some or all of the other features, have been identified. While our systems have been used primarily for biological studies, they have clinical applications for both diagnostic and therapeutic purposes.     

Membrane microheterogeneity: Förster resonance energy transfer characterization of lateral membrane domains

Lateral membrane heterogeneity, in the form of lipid rafts and microdomains, is currently implicated in cell processes including signal transduction, endocytosis, and cholesterol trafficking. Various biophysical techniques have been used to detect and characterize lateral membrane domains. Among these, Förster resonance energy transfer (FRET) has the crucial advantage of being sensitive to domain sizes smaller than 50-100 nm, below the resolution of optical microscopy but, apparently, similar to those of rafts in cell membranes. In the last decade, several formalisms for the analysis of FRET in heterogeneous membrane systems have been derived and applied to the study of microdomains. They are critically described and illustrated here.     

Integration of signal-transduction processes

The adenylate cyclase - cAMP, phospholipase C - IP3 (inositol 1,4,5-triphosphate), and DAG (diacylglycerol) signal transduction systems are used to illustrate general principles underlying the process of information transfer during cell stimulation. Both systems consist of reaction cascades that convert the external signal to an intracellular messenger, translate the messenger to regulatory activities, and then modulate the activities of appropriate cellular proteins to result in specific cell responses. Almost all of these reactions are under second-messenger-dependent regulation, with many being regulated by multiple messengers. Such complex regulation provides ample opportunities for the fine-tuning of the signal cascades and for coordination between cascades during cell stimulation. Specific examples are used to illustrate how the cell uses different intrasystem and intersystem regulatory reactions to achieve specific responses.     

A Modular View of the Diversity of Cell-Density-Encoding Schemes in Bacterial Quorum-Sensing Systems

Certain environmental parameters are accessible to cells only indirectly and require an encoding step for cells to retrieve the relevant information. A prominent example is the phenomenon of quorum sensing by microorganisms, where information about cell density is encoded by means of secreted signaling molecules. The mapping of cell density to signal molecule concentration and the corresponding network modules involved have been at least partially characterized in many bacteria, and vary markedly between different systems. In this study, we investigate theoretically how differences in signal transport, signal modification, and site of signal detection shape the encoding function and affect the sensitivity and the noise characteristics of the cell-density-encoding process. We find that different modules are capable of implementing both fairly basic as well as more complex encoding schemes, whose qualitative characteristics vary with cell density and are linked to network architecture, providing the basis for a hierarchical classification scheme. We exploit the tight relationship between encoding behavior and network architecture to constrain the network topology of partially characterized natural systems, and verify one such prediction by showing experimentally that Vibrio harveyi is capable of importing Autoinducer 2. The framework developed in this research can serve not only to guide reverse engineering of natural systems but also to stimulate the design of synthetic systems and generally facilitate a better understanding of the complexities arising in the quorum-sensing process because of variations in the physical organization of the encoder network module.