"Omic" approaches for unraveling signaling networks

Signaling pathways are crucial for cell differentiation and response to cellular environments. Recently, a large number of approaches for the global analysis of genes and proteins have been described. These have provided important new insights into the components of different pathways and the molecular and cellular responses of these pathways. This review covers genomic and proteomic (collectively referred to as "omic") approaches for the global analysis of cell signaling, including gene expression profiling and analysis, protein-protein interaction methods, protein microarrays, mass spectroscopy and gene-disruption and engineering approaches.     

Cross talk: interview with Al Gilman

Alfred Goodman Gilman was born in the same year (1941) that his father and Louis Goodman published the first edition of The Pharmacological Basis of Therapeutics. Pharmacology has thus always been part of his life, and in his own career he has focused primarily on cell signaling. For the past twenty years, he has chaired the Department of Pharmacology at UT Southwestern, and his long list of accomplishments includes a Nobel Prize (1994) for his work on G proteins. In 1998, Gilman embarked on his most ambitious program of research yet, bringing dozens of leading investigators from the cell signaling community to Dallas in order to plan out a ten-year project aiming "to understand as completely as possible the relationships between sets of inputs and outputs in signaling cells." Now directing the full-fledged, federally funded Alliance for Cellular Signaling, Gilman stresses that a solid database for constructing a "virtual cell" will depend on extensive collaboration from the entire signaling community. (For a complete Program Summary, and to register for membership in the Alliance, consult www.cellularsignaling.org.) The luminaries that were invited to the Dallas planning meeting, in fact, were greeted at the door with a note from Gilman exhorting them: please check EGO at door.     

Identification of phosphoproteins and their phosphorylation sites in the WEHI-231 B lymphoma cell line

A major goal of the Alliance for Cellular Signaling is to elaborate the components of signal transduction networks in model cell systems, including murine B lymphocytes. Due to the importance of protein phosphorylation in many aspects of cell signaling, the initial efforts have focused on the identification of phosphorylated proteins. In order to identify serine- and threonine-phosphorylated proteins on a proteome-wide basis, WEHI-231 cells were treated with calyculin A, a serine/threonine phosphatase inhibitor, to induce high levels of protein phosphorylation. Proteins were extracted from whole-cell lysates and digested with trypsin. Phosphorylated peptides were then enriched using immobilized metal affinity chromatography and identified by liquid chromatography-tandem mass spectrometry. A total of 107 proteins and 193 phosphorylation sites were identified using these methods. Forty-two of these proteins have been reported to be phosphorylated, but only some of them have been detected in B cells. Fifty-four of the identified proteins were not previously known to be phosphorylated. The remaining 11 phosphoproteins have previously only been characterized as novel cDNA or genomic sequences. Many of the identified proteins were phosphorylated at multiple sites. The proteins identified in this study significantly expand the repertoire of proteins known to be phosphorylated in B cells. The number of newly identified phosphoproteins indicates that B cell signaling pathways utilizing protein phosphorylation are likely to be more complex than previously appreciated.     

Specification, annotation, visualization and simulation of a large rule-based model for ERBB receptor signaling

ABSTRACT: BACKGROUND: Mathematical/computational models are needed to understand cell signaling networks, which are complex. Signaling proteins contain multiple functional components and multiple sites of post-translational modification. The multiplicity of components and sites of modification ensures that interactions among signaling proteins have the potential to generate myriad protein complexes and post-translational modification states. As a result, the number of chemical species that can be populated in a cell signaling network, and hence the number of equations in an ordinary differential equation model required to capture the dynamics of these species, is prohibitively large. To overcome this problem, the rule-based modeling approach has been developed for representing interactions within signaling networks efficiently and compactly through coarse-graining of the chemical kinetics of molecular interactions. RESULTS: Here, we provide a demonstration that the rule-based modeling approach can be used to specify and simulate a large model for ERBB receptor signaling that accounts for site-specific details of protein-protein interactions. The model is considered large because it corresponds to a reaction network containing more reactions than can be practically enumerated. The model encompasses activation of ERK and Akt, and it can be simulated using a network-free simulator, such as NFsim, to generate time courses of phosphorylation for 55 individual serine, threonine, and tyrosine residues. The model is annotated and visualized in the form of an extended contact map. CONCLUSIONS: With the development of software that implements novel computational methods for calculating the dynamics of large-scale rule-based representations of cellular signaling networks, it is now possible to build and analyze models that include a significant fraction of the protein interactions that comprise a signaling network, with incorporation of the site-specific details of the interactions. Modeling at this level of detail is important for understanding cellular signaling.     

The ins and outs of Wingless signaling

Signaling through the highly conserved Wingless/Wnt pathway plays a crucial role in a diverse array of developmental processes, many of which depend upon the precise regulation of Wingless/Wnt signaling levels. Recent evidence has indicated that the intracellular trafficking of Wingless/Wnt signaling components can result in significant changes in the level of signaling. Here, we examine three mechanisms through which intracellular trafficking might regulate Wingless signaling--the degradation of Wingless, its transport and the transduction of its signal. The intracellular trafficking of several Wingless/Wnt signaling components, including LRP5, LRP6, Dishevelled and Axin, as well as the functional implications of protein localization on Wingless/Wnt signaling, will be discussed.     

A screen for modifiers of hedgehog signaling in Drosophila melanogaster identifies swm and mts

Signaling by Hedgehog (Hh) proteins shapes most tissues and organs in both vertebrates and invertebrates, and its misregulation has been implicated in many human diseases. Although components of the signaling pathway have been identified, key aspects of the signaling mechanism and downstream targets remain to be elucidated. We performed an enhancer/suppressor screen in Drosophila to identify novel components of the pathway and identified 26 autosomal regions that modify a phenotypic readout of Hh signaling. Three of the regions include genes that contribute constituents to the pathway-patched, engrailed, and hh. One of the other regions includes the gene microtubule star (mts) that encodes a subunit of protein phosphatase 2A. We show that mts is necessary for full activation of Hh signaling. A second region includes the gene second mitotic wave missing (swm). swm is recessive lethal and is predicted to encode an evolutionarily conserved protein with RNA binding and Zn(+) finger domains. Characterization of newly isolated alleles indicates that swm is a negative regulator of Hh signaling and is essential for cell polarity.     

Self-transmissible IncP R995 plasmids with alternative markers and utility for Flp/FRT cloning strategies

The IncP plasmid R995 has been a useful self-transmissible, broad-host-range vector for a number of applications including the recombinase/conjugation-based cloning of large genomic DNA segments. However, R995 derivatives (or related plasmids) expressing a wide range of different resistance markers and Flp recombinase target sites do not exist in the literature. In addition, documented strategies for applying such plasmids in cloning applications that take advantage of conjugation for the convenient isolation and recovery of constructs are extremely limited. Here, we report a new series of R995 plasmids with alternative markers to increase options for applications in backgrounds already expressing resistance to a particular antibiotic(s). These R995 plasmids have been engineered to contain FRT sites that can be used for recombinase-based cloning. We demonstrate the utility of this approach by cloning 20 kb regions from the Salmonella Typhimurium and Escherichia coli genomes and by cloning DNA from an exogenous plasmid source. To our knowledge, this represents the first systematic engineering of an intact, self-transmissible IncP plasmid with a series of alternative antibiotic markers and FRT sites.     

Expression variation and covariation impair analog and enable binary signaling control

Due to noise in the synthesis and degradation of proteins, the concentrations of individual vertebrate signaling proteins were estimated to vary with a coefficient of variation (CV) of approximately 25% between cells. Such high variation is beneficial for population‐level regulation of cell functions but abolishes accurate single‐cell signal transmission. Here, we measure cell‐to‐cell variability of relative protein abundance using quantitative proteomics of individual Xenopus laevis eggs and cultured human cells and show that variation is typically much lower, in the range of 5–15%, compatible with accurate single‐cell transmission. Focusing on bimodal ERK signaling, we show that variation and covariation in MEK and ERK expression improves controllability of the percentage of activated cells, demonstrating how variation and covariation in expression enables population‐level control of binary cell‐fate decisions. Together, our study argues for a control principle whereby low expression variation enables accurate control of analog single‐cell signaling, while increased variation, covariation, and numbers of pathway components are required to widen the stimulus range over which external inputs regulate binary cell activation to enable precise control of the fraction of activated cells in a population.     

Nucleotide sequence of Mycoplasma mycoides subspecies Mycoides plasmid pKMK1.

To facilitate the development of mycoplasmal cloning vectors, we have determined the nucleotide sequence of pKMK1, a cryptic plasmid isolated from Mycoplasma mycoides subsp. mycoides. It is 1875 bp in length and contains two open reading frames (ORFs) that share homology with ORFs from members of a large family of gram-positive bacterial plasmids which replicate via a single-stranded DNA intermediate. Putative origins of replication and candidate cloning sites have been identified.     

Modulation of cancer cell signaling by long noncoding RNAs

Cellular signaling pathways play a very important role in almost all molecular processes in the cell, and are generally composed of a complex set of cascades in which enzymes and proteins play a key role. These signaling pathways include different types of cellular signaling classified based on their receptors and effector proteins such as enzyme-linked receptors, cytokine receptors, and G-protein-coupled receptors each of which is subdivided into different classes. Signaling pathways are tightly controlled by different mechanisms mostly thorough inhibiting/activating their receptors or effector proteins. In the last two decades, our knowledge of molecular biology has changed dramatically and today we know that more than 85% of the human genome expresses noncoding RNAs most of which are crucial in the cellular and molecular mechanisms of cells. One of these noncoding RNAs are long noncoding RNAs (lncRNA) containing more than 200 nucleotides. LncRNAs participate in the progression of cancer growth through several mechanism including signaling pathways. In this review, we summarize some of the most important of lncRNAs and their effect on important signaling pathways.     

Bioinformatics and cellular signaling

The understanding of cellular function requires an integrated analysis of context-specific, spatiotemporal data from diverse sources. Recent advances in describing the genomic and proteomic 'parts list' of the cell and deciphering the interrelationship of these parts are described, including genome-wide location analysis, standards for microarray data analysis, and two-hybrid and mass spectrometry approaches. This information is being collected and curated in databases such as the Alliance for Cellular Signaling (AfCS) Molecule Pages, which will serve as vital tools for the reconstruction and analysis of cellular signaling networks.     

Spotlight on cellular signaling

On May 21-27, 2004, the fourth in an ongoing series of Dubrovnik Conferences on Cellular Signaling was held at the beautiful Croatian resort of Cavtat, outside the historic town of Dubrovnik. The largest so far in the biannual series attracted an audience of over 300. A series of topics was discussed in depth. Here we concentrate on three areas: receptor tyrosine kinase signaling, actin rearrangements, and endocytosis.     

A molecular mechanism for the heparan sulfate dependence of slit-robo signaling

Slit is a large secreted protein that provides important guidance cues in the developing nervous system and in other organs. Signaling by Slit requires two receptors, Robo transmembrane proteins and heparan sulfate (HS) proteoglycans. How HS controls Slit-Robo signaling is unclear. Here we show that the second leucine-rich repeat domain (D2) of Slit, which mediates binding to Robo receptors, also contains a functionally important binding site for heparin, a highly sulfated variant of HS. Heparin markedly enhances the affinity of the Slit-Robo interaction in a solid-phase binding assay. Analytical gel filtration chromatography demonstrates that Slit D2 associates with a soluble Robo fragment and a heparin-derived oligosaccharide to form a ternary complex. Retinal growth cone collapse triggered by Slit D2 requires cell surface HS or exogenously added heparin. Mutation of conserved basic residues in the C-terminal cap region of Slit D2 reduces heparin binding and abolishes biological activity. We conclude that heparin/HS is an integral component of the minimal Slit-Robo signaling complex and serves to stabilize the relatively weak Slit-Robo interaction.     

The protein kinase Pelle mediates feedback regulation in the Drosophila Toll signaling pathway.

Dorsoventral polarity in the Drosophila embryo is established through a signal transduction cascade triggered in ventral and ventrolateral regions. Activation of a transmembrane receptor, Toll, leads to localized recruitment of the adaptor protein Tube and protein kinase Pelle. Signaling through these components directs degradation of the IkappaB-like inhibitor Cactus and nuclear translocation of the Rel protein Dorsal. Here we show through confocal immunofluorescence microscopy that Pelle functions to downregulate the signal-dependent relocalization of Tube. Inactivation of the Pelle kinase domain, or elimination of the Tube-Pelle interaction, dramatically increases Tube recruitment to the ventral plasma membrane in regions of active signaling. We also characterize a large collection of pelle alleles, identifying the molecular lesions in these alleles and their effects on Pelle autophosphorylation, Tube phosphorylation and Tube relocalization. Our results point to a mechanism operating to modulate the domain or duration of signaling downstream from Tube and Pelle.     

TNF signaling: early events and phosphorylation

Tumor necrosis factor-alpha (TNF) is a major mediator of apoptosis as well as immunity and inflammation. Inappropriate production of TNF or sustained activation of TNF signaling has been implicated in the pathogenesis of a wide spectrum of human diseases, including cancer, osteoporosis, sepsis, diabetes, and autoimmune diseases such as multiple sclerosis, rheumatoid arthritis, and inflammatory bowel disease. TNF binds to two specific receptors, TNF-receptor type I (TNF-R1, CD120a, p55/60) and TNF-receptor type II (TNF-R2, CD120b, p75/80). Signaling through TNF-R1 is extremely complex, leading to both cell death and survival signals. Many findings suggest an important role of phosphorylation of the TNF-R1 by number of protein kinases. Role of TNF-R2 phosphorylation on its signaling properties is understood less than TNF-R1. Other cellular substrates as TRADD adaptor protein, TRAF protein family and RIP kinases are reviewed in relation to TNF receptor-mediated apoptosis or survival pathways and regulation of their actions by phosphorylation.     

Cell signaling networks ontology

Although databases for cell signaling pathways include numbers of reaction data of the pathways, the reaction data cannot be used yet to deduce biological functions from them. For the deduction, we need systematic and consistent interpretation of biological functions of reactions in cell signaling pathways in the context of "information transmission". To address this issue, we have developed a functional ontology for cell signaling pathways, Cell Signaling Network Ontology (CSN-Ontology), which provides framework for the functional interpretation presenting some important concepts as information, selectivity, movability, and signaling rules including passage of time.