Synthetic biology: lessons from engineering yeast MAPK signalling pathways

All living cells respond to external stimuli and execute specific physiological responses through signal transduction pathways. Understanding the mechanisms controlling signalling pathways is important for diagnosing and treating diseases and for reprogramming cells with desired functions. Although many of the signalling components in the budding yeast Saccharomyces cerevisiae have been identified by genetic studies, many features concerning the dynamic control of pathway activity, cross‐talk, cell‐to‐cell variability or robustness against perturbation are still incompletely understood. Comparing the behaviour of engineered and natural signalling pathways offers insight complementary to that achievable with standard genetic and molecular studies. Here, we review studies that aim at a deeper understanding of signalling design principles and generation of novel signalling properties by engineering the yeast mitogen‐activated protein kinase (MAPK) pathways. The underlying approaches can be applied to other organisms including mammalian cells and offer opportunities for building synthetic pathways and functionalities useful in medicine and biotechnology.     

The p38 signal transduction pathway: activation and function

The p38 signalling transduction pathway, a Mitogen-activated protein (MAP) kinase pathway, plays an essential role in regulating many cellular processes including inflammation, cell differentiation, cell growth and death. Activation of p38 often through extracellular stimuli such as bacterial pathogens and cytokines, mediates signal transduction into the nucleus to turn on the responsive genes. p38 also transduces signals to other cellular components to execute different cellular responses. In this review, we summarize the characteristics of the major components of the p38 signalling transduction pathway and highlight the targets of this pathway and the physiological function of the p38 activation.     

Engineering key components in a synthetic eukaryotic signal transduction pathway

Signal transduction underlies how living organisms detect and respond to stimuli. A goal of synthetic biology is to rewire natural signal transduction systems. Bacteria, yeast, and plants sense environmental aspects through conserved histidine kinase (HK) signal transduction systems. HK protein components are typically comprised of multiple, relatively modular, and conserved domains. Phosphate transfer between these components may exhibit considerable cross talk between the otherwise apparently linear pathways, thereby establishing networks that integrate multiple signals. We show that sequence conservation and cross talk can extend across kingdoms and can be exploited to produce a synthetic plant signal transduction system. In response to HK cross talk, heterologously expressed bacterial response regulators, PhoB and OmpR, translocate to the nucleus on HK activation. Using this discovery, combined with modification of PhoB (PhoB‐VP64), we produced a key component of a eukaryotic synthetic signal transduction pathway. In response to exogenous cytokinin, PhoB‐VP64 translocates to the nucleus, binds a synthetic PlantPho promoter, and activates gene expression. These results show that conserved‐signaling components can be used across kingdoms and adapted to produce synthetic eukaryotic signal transduction pathways.     

Systematic phenome analysis of Escherichia coli multiple‐knockout mutants reveals hidden reactions in central carbon metabolism

Central carbon metabolism is a basic and exhaustively analyzed pathway. However, the intrinsic robustness of the pathway might still conceal uncharacterized reactions. To test this hypothesis, we constructed systematic multiple‐knockout mutants involved in central carbon catabolism in Escherichia coli and tested their growth under 12 different nutrient conditions. Differences between in silico predictions and experimental growth indicated that unreported reactions existed within this extensively analyzed metabolic network. These putative reactions were then confirmed by metabolome analysis and in vitro enzymatic assays. Novel reactions regarding the breakdown of sedoheptulose‐7‐phosphate to erythrose‐4‐phosphate and dihydroxyacetone phosphate were observed in transaldolase‐deficient mutants, without any noticeable changes in gene expression. These reactions, triggered by an accumulation of sedoheptulose‐7‐phosphate, were catalyzed by the universally conserved glycolytic enzymes ATP‐dependent phosphofructokinase and aldolase. The emergence of an alternative pathway not requiring any changes in gene expression, but rather relying on the accumulation of an intermediate metabolite may be a novel mechanism mediating the robustness of these metabolic networks.     

Spatial organization of transmembrane receptor signalling

The spatial organization of transmembrane receptors is a critical step in signal transduction and receptor trafficking in cells. Transmembrane receptors engage in lateral homotypic and heterotypic cis‐interactions as well as intercellular trans‐interactions that result in the formation of signalling foci for the initiation of different signalling networks. Several aspects of ligand‐induced receptor clustering and association with signalling proteins are also influenced by the lipid composition of membranes. Thus, lipid microdomains have a function in tuning the activity of many transmembrane receptors by positively or negatively affecting receptor clustering and signal transduction. We review the current knowledge about the functions of clustering of transmembrane receptors and lipid–protein interactions important for the spatial organization of signalling at the membrane.     

Iteration method for predicting essential proteins based on orthology and protein-protein interaction networks

Background

Understanding the information-processing capabilities of signal transduction networks, how those networks are disrupted in disease, and rationally designing therapies to manipulate diseased states require systematic and accurate reconstruction of network topology. Data on networks central to human physiology, such as the inflammatory signalling networks analyzed here, are found in a multiplicity of on-line resources of pathway and interactome databases (Cancer CellMap, GeneGo, KEGG, NCI-Pathway Interactome Database (NCI-PID), PANTHER, Reactome, I2D, and STRING). We sought to determine whether these databases contain overlapping information and whether they can be used to construct high reliability prior knowledge networks for subsequent modeling of experimental data.

Results

We have assembled an ensemble network from multiple on-line sources representing a significant portion of all machine-readable and reconcilable human knowledge on proteins and protein interactions involved in inflammation. This ensemble network has many features expected of complex signalling networks assembled from high-throughput data: a power law distribution of both node degree and edge annotations, and topological features of a ??bow tie?? architecture in which diverse pathways converge on a highly conserved set of enzymatic cascades focused around PI3K/AKT, MAPK/ERK, JAK/STAT, NF??B, and apoptotic signaling. Individual pathways exhibit ??fuzzy?? modularity that is statistically significant but still involving a majority of ??cross-talk?? interactions. However, we find that the most widely used pathway databases are highly inconsistent with respect to the actual constituents and interactions in this network. Using a set of growth factor signalling networks as examples (epidermal growth factor, transforming growth factor-beta, tumor necrosis factor, and wingless), we find a multiplicity of network topologies in which receptors couple to downstream components through myriad alternate paths. Many of these paths are inconsistent with well-established mechanistic features of signalling networks, such as a requirement for a transmembrane receptor in sensing extracellular ligands.

Conclusions

Wide inconsistencies among interaction databases, pathway annotations, and the numbers and identities of nodes associated with a given pathway pose a major challenge for deriving causal and mechanistic insight from network graphs. We speculate that these inconsistencies are at least partially attributable to cell, and context-specificity of cellular signal transduction, which is largely unaccounted for in available databases, but the absence of standardized vocabularies is an additional confounding factor. As a result of discrepant annotations, it is very difficult to identify biologically meaningful pathways from interactome networks a priori. However, by incorporating prior knowledge, it is possible to successively build out network complexity with high confidence from a simple linear signal transduction scaffold. Such reduced complexity networks appear suitable for use in mechanistic models while being richer and better justified than the simple linear pathways usually depicted in diagrams of signal transduction.     

Control of high osmolarity signalling in the yeast Saccharomyces cerevisiae

Signal transduction pathways control cellular responses to extrinsic and intrinsic signals. The yeast HOG (High Osmolarity Glycerol) response pathway mediates cellular adaptation to hyperosmotic stress. Pathway architecture as well as the flow of signal have been studied to a very high degree of detail. Recently, the yeast HOG pathway has become a popular model to analyse systems level properties of signal transduction. Those studies addressed, using experimentation and modelling, the role of basal signalling, robustness against perturbation, as well as adaptation and feedback control. These recent findings provide exciting insight into the higher control levels of signalling through this MAPK system of potential general importance.     

Origin and evolution of the Notch signalling pathway: an overview from eukaryotic genomes

Background  

Of the 20 or so signal transduction pathways that orchestrate cell-cell interactions in metazoans, seven are involved during development. One of these is the Notch signalling pathway which regulates cellular identity, proliferation, differentiation and apoptosis via the developmental processes of lateral inhibition and boundary induction. In light of this essential role played in metazoan development, we surveyed a wide range of eukaryotic genomes to determine the origin and evolution of the components and auxiliary factors that compose and modulate this pathway.     

Introducing fluorescence resonance energy transfer‐based biosensors for the analysis of cAMP‐PKA signalling in the fungal pathogen Candida glabrata

The cyclic adenosine monophosphate‐protein kinase A (cAMP‐PKA) pathway is central to signal transduction in many organisms. In pathogenic fungi such as Candida albicans, this signalling cascade has proven to be involved in several processes, such as virulence, indicating its potential importance in antifungal drug discovery. Candida glabrata is an upcoming pathogen of the same species, yet information regarding the role of cAMP‐PKA signalling in virulence is largely lacking. To enable efficient monitoring of cAMP‐PKA activity in this pathogen, we here present the usage of two FRET‐based biosensors. Both variations in the activity of PKA and the quantity of cAMP can be detected in a time‐resolved manner, as we exemplify by glucose‐induced activation of the pathway. We also present information on how to adequately process and analyse the data in a mathematically correct and physiologically relevant manner. These sensors will be of great benefit for scientists interested in linking the cAMP‐PKA signalling cascade to downstream processes, such as virulence, possibly in a host environment.     

The low temperature response pathways for cold acclimation and vernalization are independent

Vernalization is the promotion of flowering in response to the prolonged cold of winter. To survive sub‐zero winter temperatures, plants must first acclimate to low, non‐freezing temperatures (cold acclimation). Induction of VERNALIZATION INSENSITIVE 3 (VIN3), the first gene in the vernalization pathway, is initiated within the same time frame as the induction of genes in the cold acclimation pathway raising the question of whether there are common elements in the signal transduction pathways that activate these two responses to cold. We show that none of the signalling components required for cold acclimation, including the ‘master regulator’INDUCTION OF CBF EXPRESSION1 (ICE1) or HIGH EXPRESSION OF OSMOTICALLY RESPONSIVE GENE1 (HOS1), which has been described as a link between cold acclimation and vernalization, play a role in VIN3 induction. We also show that the hormone abscisic acid (ABA) does not modulate VIN3 induction, consistent with earlier reports that ABA signalling plays no role in the vernalization response. The cold acclimation pathway is activated at 12 °C, at which temperature there is no induction of VIN3 expression. Taken together, our data demonstrate that the responses to low temperatures leading to cold acclimation and vernalization are controlled by distinct signalling pathways.     

Robustness properties of apoptosis models with respect to parameter variations and intrinsic noise

Analyses of different robustness aspects for models of the direct signal transduction pathway of receptor-induced apoptosis is presented. Apoptosis is a form of programmed cell death, removing unwanted cells within multicellular organisms to maintain a proper balance between cell reproduction and death. Its signalling pathway includes an activation feedback loop that generates bistable behaviour, where the two steady states can be seen as 'life' and 'death'. Inherent robustness, widely recognised in biological systems, is of major importance in apoptosis signalling, as it guarantees the same cell fate for similar conditions. First, the influence of the stochastic nature of reactions indicating a role for inhibition reactions as noise filters and justifying a deterministic approach in the further analyses is evaluated. Second, the robustness of the bistable threshold with respect to parameter changes is evaluated by statistical methods, showing the need to balance both the forward and the back part of the activation loop. These analyses can also discriminate between the models favouring the model consistent with novel biological findings. The parameter robustness analyses are also applicable to other signal transduction networks, as several have been shown to display bistable behaviour. These methods therefore have a range of possible applications in systems biology not only to measure robustness, but also for model discrimination.     

The effect of short-term low-temperature treatments on gene expression in Arabidopsis correlates with changes in intracellular Ca2+ levels

The role of changes in intracellular calcium ion concentration ([Ca²⁺]_i) in low‐temperature signal transduction in plants has lately been supported by several studies. An analysis to determine whether the low‐temperature‐induced increase in cytosolic Ca²⁺ concentration ([Ca²⁺]_cyt) could be correlated with a downstream response such as gene expression was carried out. The induction of the low‐temperature‐regulated gene LTI78 was used as an end point marker of the signal transduction pathway. It was found that this gene is induced by very brief low‐temperature exposures and that the induction does not depend on a continuous exposure to low temperature. By altering the cooling rate, different patterns of the Ca²⁺ response were obtained which could be correlated with different patterns of LTI78 induction. Furthermore, reducing the Ca²⁺ transients by pre‐treatment with the Ca²⁺ channel blocker La³⁺ also led to a reduced level of gene induction. The results show that brief exposures to low temperature results in the onset of a signalling pathway that leads to the induction of gene expression. This indicates the involvement of changes in [Ca²⁺]_cyt in low‐temperature signalling leading to LTI78 expression but the presence of multiple signalling pathways is suggested.     

Two intercellular signals required for fruiting body formation in Myxococcus xanthus act sequentially but non‐hierarchically

Starvation‐induced fruiting body formation in Myxococcus xanthus depends on intercellular signalling. A‐signal functions after 2 h of starvation and its synthesis depends on the asg genes. C‐signal functions after 6 h of starvation and is generated by proteolytic cleavage of a precursor by the protease PopC. Previous gene expression studies suggested that the A‐ and C‐signal lie on a hierarchical pathway. Here we explored the causal relationship between the A‐ and C‐signal. The asgA and asgB mutants have reduced popC expression, PopC accumulation and C‐signal accumulation. popC expression was shown not to depend on A‐signal but on the AsgA and AsgB proteins. Restored popC expression in the two mutants rescued PopC and C‐signal accumulation as well as C‐signalling and the developmental defects of the two mutants without restoring A‐signalling. Based on these results we suggest that A‐ and C‐signal do not lie on a hierarchical, dependent pathway. Instead the A‐ and C‐signal act sequentially and without a causal relationship suggesting that they are linked by a shared timing mechanism, which ensures the early and late onset of A‐signalling and C‐signalling, respectively, during starvation. This pathway topology represents a novel architecture for bacterial intercellular signalling systems involving more than one signal.