Compartment-specific feedback loop and regulated trafficking can result in sustained activation of Ras at the Golgi

Modelling compartmentalization towards elucidation and engineering of spatial organization in biochemical pathways

Compartmentalization is a fundamental ingredient, central to the functioning of biological systems at multiple levels. At the cellular level, compartmentalization is a key aspect of the functioning of biochemical pathways and an important element used in evolution. It is also being exploited in multiple contexts in synthetic biology. Accurate understanding of the role of compartments and designing compartmentalized systems needs reliable modelling/systems frameworks. We examine a series of building blocks of signalling and metabolic pathways with compartmental organization. We systematically analyze when compartmental ODE models can be used in these contexts, by comparing these models with detailed reaction-transport models, and establishing a correspondence between the two. We build on this to examine additional complexities associated with these pathways, and also examine sample problems in the engineering of these pathways. Our results indicate under which conditions compartmental models can and cannot be used, why this is the case, and what augmentations are needed to make them reliable and predictive. We also uncover other hidden consequences of employing compartmental models in these contexts. Or results contribute a number of insights relevant to the modelling, elucidation, and engineering of biochemical pathways with compartmentalization, at the core of systems and synthetic biology.

Systems biology of cellular membranes: a convergence with biophysics

Systems biology and systems medicine have played an important role in the last two decades in shaping our understanding of biological processes. While systems biology is synonymous with network maps and '-omics' approaches, it is not often associated with mechanical processes. Here, we make the case for considering the mechanical and geometrical aspects of biological membranes as a key step in pushing the frontiers of systems biology of cellular membranes forward. We begin by introducing the basic components of cellular membranes, and highlight their dynamical aspects. We then survey the functions of the plasma membrane and the endomembrane system in signaling, and discuss the role and origin of membrane curvature in these diverse cellular processes. We further give an overview of the experimental and modeling approaches to study membrane phenomena. We close with a perspective on the converging futures of systems biology and membrane biophysics, invoking the need to include physical variables such as location and geometry in the study of cellular membranes. WIREs Syst Biol Med 2017, 9:e1386. doi: 10.1002/wsbm.1386 For further resources related to this article, please visit the WIREs website.

The spatiotemporal regulation of RAS signalling

Nearly 30% of human tumours harbour mutations in RAS family members. Post-translational modifications and the localisation of RAS within subcellular compartments affect RAS interactions with regulator, effector and scaffolding proteins. New insights into the control of spatiotemporal RAS signalling reveal that activation kinetics and subcellular compartmentalisation are tightly coupled to the generation of specific biological outcomes. Computational modelling can help utilising these insights for the identification of new targets and design of new therapeutic approaches.

PLCε signaling in cancer

PURPOSE

As one of the members of the PLC family, the phosphoinositide-specific phospholipase Cε (PLCε) has been shown to play pivotal roles in multiple signal pathways and control a variety of cellular functions. A number of studies have shown that aberrant regulation of PLCε was involved in various types of animal and human cancer. However, the role of PLCε in cancer remains elusive. In this review, we provide an overview of the PLCε, especially its roles in multiple signal pathways, and summarize the recent findings that highlight the roles of PLCε in carcinogenesis and cancer progression, making an avenue to provide a novel therapeutic strategy for the treatment of cancer.

METHODS

A literature search mainly paying attention to the network of PLCε involved in tumorigenesis and development was performed in electronic databases.

RESULTS

PLCε plays a key role in medicating the development and progression of human cancers with highest potency to be a target of cancer prevention and treatment.

Unraveling the design principle for motif organization in signaling networks

Cellular signaling networks display complex architecture. Defining the design principle of this architecture is crucial for our understanding of various biological processes. Using a mathematical model for three-node feed-forward loops, we identify that the organization of motifs in specific manner within the network serves as an important regulator of signal processing. Further, incorporating a systemic stochastic perturbation to the model we could propose a possible design principle, for higher-order organization of motifs into larger networks in order to achieve specific biological output. The design principle was then verified in a large, complex human cancer signaling network. Further analysis permitted us to classify signaling nodes of the network into robust and vulnerable nodes as a result of higher order motif organization. We show that distribution of these nodes within the network at strategic locations then provides for the range of features displayed by the signaling network.

Ras, an actor on many stages: posttranslational modifications, localization, and site-specified events

Among the wealth of information that we have gathered about Ras in the past decade, the introduction of the concept of space in the field has constituted a major revolution that has enabled many pieces of the Ras puzzle to fall into place. In the early days, it was believed that Ras functioned exclusively at the plasma membrane. Today, we know that within the plasma membrane, the 3 Ras isoforms-H-Ras, K-Ras, and N-Ras-occupy different microdomains and that these isoforms are also present and active in endomembranes. We have also discovered that Ras proteins are not statically associated with these localizations; instead, they traffic dynamically between compartments. And we have learned that at these localizations, Ras is under site-specific regulatory mechanisms, distinctively engaging effector pathways and switching on diverse genetic programs to generate different biological responses. All of these processes are possible in great part due to the posttranslational modifications whereby Ras proteins bind to membranes and to regulatory events such as phosphorylation and ubiquitination that Ras is subject to. As such, space and these control mechanisms act in conjunction to endow Ras signals with an enormous signal variability that makes possible its multiple biological roles. These data have established the concept that the Ras signal, instead of being one single, homogeneous entity, results from the integration of multiple, site-specified subsignals, and Ras has become a paradigm of how space can differentially shape signaling.

Modeling of spatially-restricted intracellular signaling

Understanding the signaling capabilities of a cell presents a major challenge, not only due to the number of molecules involved, but also because of the complex network connectivity of intracellular signaling. Recently, the proliferation of quantitative imaging techniques has led to the discovery of the vast spatial organization of intracellular signaling. Computational modeling has emerged as a powerful tool for understanding how inhomogeneous signaling originates and is maintained. This article covers the current imaging techniques used to obtain quantitative spatial data and the mathematical approaches used to model spatial cell biology. Modeling-derived hypotheses have been experimentally tested and the integration of modeling and imaging approaches has led to non-intuitive mechanistic insights.

Mechanistic modeling to investigate signaling by oncogenic Ras mutants

Mathematical models based on biochemical reaction mechanisms can be a powerful complement to experimental investigations of cell signaling networks. In principle, such models have the potential to find the behaviors that result from well-understood component interactions and their measurable properties, such as concentrations and rate constants. As cancer results from the acquisition of mutations that alter the expression level and/or the biochemistry of proteins encoded by mutated genes, mathematical models of cell signaling networks would also seem to have the potential to predict how these changes alter cell signaling to produce a cancer phenotype. Ras is commonly found in cancer and has been extensively characterized at the level of detail needed to develop such models. Here, we consider how biochemical mechanism-based models have been used to study mutant Ras signaling. These models demonstrate that it is clearly possible to use observable properties of individual reactions to predict how the entire system behaves to produce the high levels of signal that drive the cancer phenotype. These models also demonstrate differences in how models are developed and studied. Their evaluation suggests which approaches are most promising for future work.

Models at the single cell level

Many cellular behaviors cannot be completely captured or appropriately described at the cell population level. Noise induced by stochastic chemical reactions, spatially polarized signaling networks, and heterogeneous cell-cell communication are among the many phenomena that require fine-grained analysis. Accordingly, the mathematical models used to describe such systems must be capable of single cell or subcellular resolution. Here, we review techniques for modeling single cells, including models of stochastic chemical kinetics, spatially heterogeneous intracellular signaling, and spatial stochastic systems. We also briefly discuss applications of each type of model.

Regulation of Ras localization by acylation enables a mode of intracellular signal propagation

Growth factor stimulation generates transient H-Ras activity at the plasma membrane but sustained activity at the Golgi. Two overlapping regulatory networks control compartmentalized H-Ras activity: the guanosine diphosphate-guanosine triphosphate cycle and the acylation cycle, which constitutively traffics Ras isoforms that can be palmitoylated between intracellular membrane compartments. Quantitative imaging of H-Ras activity after decoupling of these networks revealed regulation of H-Ras activity at the plasma membrane but not at the Golgi. Nevertheless, upon stimulation with epidermal growth factor, Ras activity at the Golgi displayed a pulse-like profile similar to that at the plasma membrane but also remained high after the initial stimulus. A compartmental model that included the acylation cycle and H-Ras regulation at the plasma membrane accounted for the pulse-like profile of H-Ras activity at the Golgi but implied that sustained H-Ras activity at the Golgi required H-Ras activation at an additional compartment, which we experimentally determined to be the endoplasmic reticulum. Thus, in addition to maintaining the localization of Ras, the acylation cycle underlies a previously unknown form of signal propagation similar to radio transmission in its generation of a constitutive Ras "carrier wave" that transmits Ras activity between subcellular compartments.

DHHC20: a human palmitoyl acyltransferase that causes cellular transformation

Palmitoylation is required for the activities of several cancer-associated proteins, making the palmitoyl acyltransferase (PAT) enzymes that catalyze these reactions potential targets for anticancer therapeutics. In this study, we sought to identify and characterize a human PAT with activity toward N-terminally myristoylated and palmitoylated proteins. NIH/3t3 cells were stably transfected with vectors containing no insert, wild type human DHHC20, or a serine-substituted DHHS20 mutant. Compared with control cells, cells overexpressing wild-type DHHC20 displayed an increase in palmitoylation activity toward a peptide that mimics the N-terminus of myristoylated and palmitoylated proteins, but had no change in activity toward a peptide that mimics the C-terminus of farnesylated and palmitoylated proteins. Cells expressing DHHS20 had no significant change in activity toward either peptide. Overexpression of DHHC20 also caused phenotypic changes consistent with cellular transformation, including colony formation in soft agar, decreased contact inhibition of growth, and increased proliferation under low-serum conditions. Quantitative polymerase chain reaction analyses of human tissues demonstrated that DHHC20 is expressed in a tissue-specific manner, and is overexpressed in several types of human tumors, including ovarian, breast and prostate. Overall, these results demonstrate that DHHC20 is a human N-terminal-myristoyl-directed PAT involved in cellular transformation, that may play a role in cancer.

The Ras-ERK pathway: understanding site-specific signaling provides hope of new anti-tumor therapies

Recent discoveries have suggested the concept that intracellular signals are the sum of multiple, site-specified subsignals, rather than single, homogeneous entities. In the context of cancer, searching for compounds that selectively block subsignals essential for tumor progression, but not those regulating "house-keeping" functions, could help in producing drugs with reduced side effects compared to compounds that block signaling completely. The Ras-ERK pathway has become a paradigm of how space can differentially shape signaling. Today, we know that Ras proteins are found in different plasma membrane microdomains and endomembranes. At these localizations, Ras is subject to site-specific regulatory mechanisms, distinctively engaging effector pathways and switching-on diverse genetic programs to generate different biological responses. The Ras effector pathway leading to ERKs activation is also under strict, space-related regulatory processes. These findings may open a gate for aiming at the Ras-ERK pathway in a spatially restricted fashion, in our quest for new anti-tumor therapies.

Palmitoylation of oncogenic NRAS is essential for leukemogenesis

Activating mutations of NRAS are common in acute myeloid leukemia, chronic myelomonocytic leukemia, and myelodysplastic syndrome. Like all RAS proteins, NRAS must undergo a series of post-translational modifications for differential targeting to distinct membrane subdomains. Although farnesylation is the obligatory first step in post-translational modifications of RAS, to date, successes of therapies targeting farnesyl protein transferase are modest. Other RAS modifications, such as palmitoylation, are required for optimal plasma membrane association of RAS proteins. However, the relative importance of these latter modifications of RAS in leukemogenesis is not clear. We have previously shown that expression of oncogenic NRAS using a bone marrow transduction and transplantation model efficiently induces a chronic myelomonocytic leukemia- or acute myeloid leukemia-like disease in mice. Here we examined the role of palmitoylation in NRAS leukemogenesis using this model. We found that palmitoylation is essential for leukemogenesis by oncogenic NRAS. We also found that farnesylation is essential for NRAS leukemogenesis, yet through a different mechanism from that of palmitoylation deficiency. This study demonstrates, for the first time, that palmitoylation is an essential process for NRAS leukemogenesis and suggests that the development of therapies targeting RAS palmitoylation may be effective in treating oncogenic NRAS-associated malignancies.

Integration of a phosphatase cascade with the mitogen-activated protein kinase pathway provides for a novel signal processing function

We mathematically modeled the receptor-dependent mitogen-activated protein kinase (MAPK) signaling by incorporating the regulation through cellular phosphatases. Activation induced the alignment of a phosphatase cascade in parallel with the MAPK pathway. A novel regulatory motif was, thus, generated, providing for the combinatorial control of each MAPK intermediate. This ensured a non-linear mode of signal transmission with the output being shaped by the balance between the strength of input signal and the activity gradient along the phosphatase axis. Shifts in this balance yielded modulations in topology of the motif, thereby expanding the repertoire of output responses. Thus, we identify an added dimension to signal processing wherein the output response to an external stimulus is additionally filtered through indicators that define the phenotypic status of the cell.

Use of virtual cell in studies of cellular dynamics

The Virtual Cell (VCell) is a unique computational environment for modeling and simulation of cell biology. It has been specifically designed to be a tool for a wide range of scientists, from experimental cell biologists to theoretical biophysicists. The models created with VCell can range from the simple, to evaluate hypotheses or to interpret experimental data, to complex multilayered models used to probe the predicted behavior of spatially resolved, highly nonlinear systems. In this chapter, we discuss modeling capabilities of VCell and demonstrate representative examples of the models published by the VCell users.

Modelling cellular signalling systems

Cell signalling pathways and networks are complex and often non-linear. Signalling pathways can be represented as systems of biochemical reactions that can be modelled using differential equations. Computational modelling of cell signalling pathways is emerging as a tool that facilitates mechanistic understanding of complex biological systems. Mathematical models are also used to generate predictions that may be tested experimentally. In the present chapter, the various steps involved in building models of cell signalling pathways are discussed. Depending on the nature of the process being modelled and the scale of the model, different mathematical formulations, ranging from stochastic representations to ordinary and partial differential equations are discussed. This is followed by a brief summary of some recent modelling successes and the state of future models.

Cellular palmitoylation and trafficking of lipidated peptides

Many important signaling proteins require the posttranslational addition of fatty acid chains for their proper subcellular localization and function. One such modification is the addition of palmitoyl moieties by enzymes known as palmitoyl acyltransferases (PATs). Substrates for PATs include C-terminally farnesylated proteins, such as H- and N-Ras, as well as N-terminally myristoylated proteins, such as many Src-related tyrosine kinases. The molecular and biochemical characterization of PATs has been hindered by difficulties in developing effective methods for the analysis of PAT activity. In this study, we describe the use of cell-permeable, fluorescently labeled lipidated peptides that mimic the PAT recognition domains of farnesylated and myristoylated proteins. These PAT substrate mimetics are accumulated by SKOV3 cells in a saturable and time-dependent manner. Although both peptides are rapidly palmitoylated, the SKOV3 cells have a greater capacity to palmitoylate the myristoylated peptide than the farnesylated peptide. Confocal microscopy indicated that the palmitoylated peptides colocalized with Golgi and plasma membrane markers, whereas the corresponding nonpalmitoylatable peptides accumulated in the Golgi but did not traffic to the plasma membrane. Overall, these studies indicate that the lipidated peptides provide useful cellular probes for quantitative and compartmentalization studies of protein palmitoylation in intact cells.