Colored Petri net modeling and simulation of signal transduction pathways

Presented herein is a methodology for quantitatively analyzing the complex signaling network by resorting to colored Petri nets (CPN). The mathematical as well as Petri net models for two basic reaction types were established, followed by the extension to a large signal transduction system stimulated by epidermal growth factor (EGF) in an application study. The CPN models based on the Petri net representation and the conservation and kinetic equations were used to examine the dynamic behavior of the EGF signaling pathway. The usefulness of Petri nets is demonstrated for the quantitative analysis of the signal transduction pathway. Moreover, the trade-offs between modeling capability and simulation efficiency of this pathway are explored, suggesting that the Petri net model can be invaluable in the initial stage of building a dynamic model.     

Ontology based standardization of Petri net modeling for signaling pathways

Taking account of the great availability of Petri nets in modeling and analyzing large complicated signaling networks, semantics of Petri nets is in need of systematization for the purpose of consistency and reusability of the models. This paper reports on standardization of units of Petri nets on the basis of an ontology that gives an intrinsic definition to the process of signaling in signaling pathways.     

Wnt signal transduction pathways

The Wnt signaling pathway is an ancient and evolutionarily conserved pathway that regulates crucial aspects of cell fate determination, cell migration, cell polarity, neural patterning and organogenesis during embryonic development. The Wnts are secreted glycoproteins and comprise a large family of nineteen proteins in humans hinting to a daunting complexity of signaling regulation, function and biological output. To date major signaling branches downstream of the Fz receptor have been identified including a canonical or Wnt/β-catenin dependent pathway and the non-canonical or β-catenin-independent pathway which can be further divided into the Planar Cell Polarity and the Wnt/Ca²⁺ pathways, and these branches are being actively dissected at the molecular and biochemical levels. In this review, we will summarize the most recent advances in our understanding of these Wnt signaling pathways and the role of these pathways in regulating key events during embryonic patterning and morphogenesis.Key words: Wnt, frizzled, dishevelled, canonical, non-canonical, β-catenin, Planar Cell Polarity     

Leptin-induced signal transduction pathways

Leptin is a multifunctional cytokine and hormone that primarily acts in the hypothalamus and plays a key role in the regulation of food intake and energy expenditure. In addition, it has direct effects on many cell types on the periphery. Leptin acts through its receptor, the product of the db gene, which has six isoforms. Only one of them (OB-Rb) has full signalling capabilities and is able to activate the Jak/STAT pathway, the major pathway used by leptin to exert its effects. However, some signalling events can be initiated by the short isoforms. Besides Jak/STAT, other pathways, such as MAPK and the 5'-AMP-activated protein kinase (AMPK) pathway, are also involved in leptin signalling. Leptin also interacts with insulin signalling. In this paper, we give an overview of the signal transduction mechanisms that are related to the actions of leptin.     

Wnt signal transduction pathways

The Wnt signaling pathway is an ancient and evolutionarily conserved pathway that regulates crucial aspects of cell fate determination, cell migration, cell polarity, neural patterning and organogenesis during embryonic development. The Wnts are secreted glycoproteins and comprise a large family of nineteen proteins in humans hinting to a daunting complexity of signaling regulation, function and biological output. To date major signaling branches downstream of the Fz receptor have been identified including a canonical or Wnt/β-catenin dependent pathway and the non-canonical or β-catenin-independent pathway which can be further divided into the Planar Cell Polarity and the Wnt/Ca²⁺ pathways, and these branches are being actively dissected at the molecular and biochemical levels. In this review, we will summarize the most recent advances in our understanding of these Wnt signaling pathways and the role of these pathways in regulating key events during embryonic patterning and morphogenesis.     

Protein microarrays for multiplex analysis of signal transduction pathways

We have developed a multiplexed reverse phase protein (RPP) microarray platform for simultaneous monitoring of site-specific phosphorylation of numerous signaling proteins using nanogram amounts of lysates derived from stimulated living cells. We first show the application of RPP microarrays to the study of signaling kinetics and pathway delineation in Jurkat T lymphocytes. RPP microarrays were used to profile the phosphorylation state of 62 signaling components in Jurkat T cells stimulated through their membrane CD3 and CD28 receptors, identifying a previously unrecognized link between CD3 crosslinking and dephosphorylation of Raf-1 at Ser259. Finally, the potential of this technology to analyze rare primary cell populations is shown in a study of differential STAT protein phosphorylation in interleukin (IL)-2-stimulated CD4(+)CD25(+) regulatory T cells. RPP microarrays, prepared using simple procedures and standard microarray equipment, represent a powerful new tool for the study of signal transduction in both health and disease.     

Integrin-mediated signal transduction pathways.

Integrins serve as adhesion receptors for extracellular matrix proteins and also transduce biochemical signals into the cell. They regulate a variety of cellular functions, including spreading, migration, proliferation and apoptosis. Many signaling pathways downstream of integrins have been identified and characterized and are discussed here. In particular, integrins regulate many protein tyrosine kinases and phosphatases, such as FAK and Src, to coordinate many of the cell processes mentioned above. The regulation of MAP kinases by integrins is important for cell growth or other functions, and the putative roles of Ras and FAK in these pathways are discussed. Phosphatidylinositol lipids and their modifying enzymes, particularly PI 3-kinase, are strongly implicated as mediators of integrin-regulated cytoskeletal changes and cell migration. Similarly, actin cytoskeleton regulation by the Rho family of GTPases is coordinated with integrin signaling to regulate cell spreading and migration, although the exact relationship between these pathways is not clear. Finally, intracellular pH and calcium fluxes by integrins are suggested to affect a variety of cellular proteins and functions.     

Strategies for inhibiting multistage carcinogenesis based on signal transduction pathways

It is obvious that the simplest approach to cancer prevention is to avoid exposure to causative agents, whether they be tumor initiators, promoters, or agents that enhance the progression of cells to increasing degrees of malignancy. On the other hand, this simple approach will not always be feasible, either because the causative agent cannot be readily removed from the environment, the precise agent is not known with certainty, or individuals have already suffered significant exposure. It is necessary, therefore, to develop new strategies that can arrest or even reverse tumor development at various stages in the carcinogenic process. The long latency in tumor development, the multistage nature of the process, and the potential reversibility of some of these stages, offer reasons for optimism that this can be achieved. Advances in our understanding of the fundamental mechanisms by which environmental agents produce disturbances in growth control suggest very specific strategies. This paper provides examples of how recent knowledge in the areas of growth factors, growth factor receptors, protein kinases, signal transduction pathways, oncogenes and growth suppressor genes might lead to the development of such strategies. Major problems will include the development of agents which will specifically act on the target cells of interest without producing toxicity to other tissues, as well as better methods for identifying those individuals who are at risk of developing cancer and, therefore, warrant such therapy.     

Knowledge representation of signal transduction pathways

MOTIVATIONS: Signal transduction is the common term used to define a diverse topic that encompasses a large body of knowledge about the biochemical mechanisms. Since most of the knowledge of signal transduction resides in scientific articles and is represented by texts in natural language or by diagrams, there is the need of a knowledge representation model for signal transduction pathways that can be as readily processed by a computer as it is easily understood by humans. RESULTS: A signal transduction pathway representation model is presented. It is based on a compound graph structure and is designed to handle the diversity and hierarchical structure of pathways. A prototype knowledge base was implemented on a deductive database and a number of biological queries are demonstrated on it.     

Power-law models of signal transduction pathways

The mathematical modelling of signal transduction pathways has become a valuable aid to understanding the complex interactions involved in intracellular signalling mechanisms. An important aspect of the mathematical modelling process is the selection of the model type and structure. Until recently, the convention has been to use a standard kinetic model, often with the Michaelis-Menten steady state assumption. However this model form, although valuable, is only one of a number of choices, and the aim of this article is to consider the mathematical structure and essential features of an alternative model form--the power-law model. Specifically, we analyse how power-law models can be applied to increase our understanding of signal transduction pathways when there may be limited prior information. We distinguish between two kinds of power law models: a) Detailed power-law models, as a tool for investigating pathways when the structure of protein-protein interactions is completely known, and; b) Simplified power-law models, for the analysis of systems with incomplete structural information or insufficient quantitative data for generating detailed models. If sufficient data of high quality are available, the advantage of detailed power-law models is that they are more realistic representations of non-homogenous or crowded cellular environments. The advantages of the simplified power-law model formulation are illustrated using some case studies in cell signalling. In particular, the investigation on the effects of signal inhibition and feedback loops and the validation of structural hypotheses are discussed.     

Topological analysis of metabolic networks based on Petri net theory

Petri net concepts provide additional tools for the modelling of metabolic networks. Here, the similarities between the counterparts in traditional biochemical modelling and Petri net theory are discussed. For example the stoichiometry matrix of a metabolic network corresponds to the incidence matrix of the Petri net. The flux modes and conservation relations have the T-invariants, respectively, P-invariants as counterparts. We reveal the biological meaning of some notions specific to the Petri net framework (traps, siphons, deadlocks, liveness). We focus on the topological analysis rather than on the analysis of the dynamic behaviour. The treatment of external metabolites is discussed. Some simple theoretical examples are presented for illustration. Also the Petri nets corresponding to some biochemical networks are built to support our results. For example, the role of triose phosphate isomerase (TPI) in Trypanosoma brucei metabolism is evaluated by detecting siphons and traps. All Petri net properties treated in this contribution are exemplified on a system extracted from nucleotide metabolism.     

MicroRNA与肿瘤相关的信号转导通路

信号转导通路在细胞代谢、生长、增殖、应激、发育和凋亡等生命活动中具有极为重要的作用。干扰这些通路将可能影响细胞的正常发育, 甚至导致肿瘤。MicroRNA(miRNA)是近年来在真核生物中发现的、在转录后水平负调节基因表达的一类长度约22个核苷酸的非编码小RNA, 其靶基因数目众多, 生物学功能广泛。在多种肿瘤中发现了miRNA的异常表达, 提示后者与肿瘤发生有关, 可能机制为调控癌基因或肿瘤抑制基因的表达。此外亦发现miRNA的靶基因有许多作用于肿瘤相关的信号转导通路。miRNA在肿瘤发生过程中的重要调控功能预示其将成为人类癌症诊断和治疗方面的新星。     

Two-component signal transduction pathways in Arabidopsis

The two-component system, consisting of a histidine (His) protein kinase that senses a signal input and a response regulator that mediates the output, is an ancient and evolutionarily conserved signaling mechanism in prokaryotes and eukaryotes. The identification of 54 His protein kinases, His-containing phosphotransfer proteins, response regulators, and related proteins in Arabidopsis suggests an important role of two-component phosphorelay in plant signal transduction. Recent studies indicate that two-component elements are involved in plant hormone, stress, and light signaling. In this review, we present a genome analysis of the Arabidopsis two-component elements and summarize the major advances in our understanding of Arabidopsis two-component signaling.     

Phytochrome and UV signal transduction pathways

The phytochromes are the best studied plant photoreceptors, controlling a wide variety of responses at both whole plant and single cell levels. Three signal transduction pathways, dependent on cGMP and/or calcium, have been found to be utilized by phytochrome to control the expression of genes required for chloroplast development (e.g., CAB and FNR) and anthocyanin biosynthesis (e.g., CHS). In particular, cGMP is a second messenger positively regulating CHS gene expression whilst calcium and calmodulin act as negative regulators. In addition to phytochrome regulation of CHS we have begun to examine the signal transduction pathways utilized by UV photoreceptors. In contrast to phytochrome-mediated responses, results indicate a role for calcium and calmodulin as positive regulators of CHS gene expression in UV light.     

Wound signal transduction pathways in plants

A significant advancement in our knowledge and understanding of wound-signaling pathways in plants has been made recently. Essential role in the explanation of these processes came from the genetic screens and analysis of mutants which are defective in either jasmonic acid (JA) biosynthesis, JA perception or systemin function. Plants equally react to wound in the tissues directly damaged (local response) as well as in the non-wounded areas (systemic response). Jasmonides and in particular the most studied JA, produced by the octadecanoid pathway, are responsible for the systemic response. Jasmonides functioning as long-distance signal particles transmit the information about wound to distant, non-wounded tissues where defense response is invoked. Peptyd - systemin, identified in some Solanaceous species, acts locally to the wounded area to elicit the production of JA. Jasmonic acid-dependent and -independent wound signal transduction pathways have been identified and partially characterized. JA-dependent wound signaling pathways are responsible for the activation of systemic responses, whereas JA-independent wound signaling pathways, activated close to wound side, have a role in reparation of damaged tissue and in defense against pathogens.     

Targeting prostate cancer based on signal transduction and cell cycle pathways

Prostate cancer remains a leading cause of death in men despite increased capacity to diagnose at earlier stages. After prostate cancer has become hormone independent, which often occurs after hormonal ablation therapies, it is difficult to effectively treat. Prostate cancer may arise from mutations and dysregulation of various genes involved in regulation signal transduction (e.g., PTEN, Akt, etc) and the cell cycle (e.g., p53, p21Cip1, p27Kip1, Rb, etc.). This review focuses on the aberrant interactions of signal transduction and cell cycle genes products and how they can contribute to prostate cancer and alter therapeutic effectiveness.     

The application of abstract topology to RAS-related signal transduction pathways

Ras is a protein related to cancer development. It is a convergence point for different signal transduction pathways that allow the cell to respond to external stimuli with different cell functions like growth, division, death, etc. In this paper, we analyze the signal pathways generated by different Ras effectors (Raf, RalGDS and PI3K), and the pathway relating Ras to the cell cycle control. We show that the interaction among different elements of these pathways induces a topologic structure in the set of elements. We discuss properties of this topology and give an algorithm to build it. The application of topological concepts makes easier the interaction analysis. Using a computational algorithm, we can create isolated, independently manageable sub-groups. Then we construct their hierarchical structure. The procedure allows us to visualize groups of elements related to the Ras effectors involved in cell growth, the elements involved in the cytoskeleton regulation, and the elements related to the cell cycle control. Thus the division in sub-groups does not only make easier the analysis, but it also provides a biologically meaningful subdivision.