Iain D. C. Fraser

A novel lipid-anchored A-kinase Anchoring Protein facilitates cAMP-responsive membrane events.

Compartmentalization of protein kinases with substrates is a mechanism that may promote specificity of intracellular phosphorylation events. We have cloned a low‐molecular weight A‐kinase Anchoring Protein, called AKAP18, which targets the cAMP‐dependent protein kinase (PKA) to the plasma membrane, and permits functional coupling to the L‐type calcium channel. Membrane anchoring is mediated by the first 10 amino acids of AKAP18, and involves residues Gly1, Cys4 and Cys5 which are lipid‐modified through myristoylation and dual palmitoylation, respectively. Transient transfection of AKAP18 into HEK‐293 cells expressing the cardiac L‐type Ca2+ channel promoted a 34 9% increase in cAMP‐responsive Ca2+ currents. In contrast, a targeting‐deficient mutant of AKAP18 had no effect on Ca2+ currents in response to the application of a cAMP analog. Further studies demonstrate that AKAP18 facilitates GLP‐1‐mediated insulin secretion in a pancreatic β cell line (RINm5F), suggesting that membrane anchoring of the kinase participates in physiologically relevant cAMP‐responsive events that may involve ion channel activation.

A single lentiviral vector platform for microRNA-based conditional RNA interference and coordinated transgene expression

RNAi is proving to be a powerful experimental tool for the functional annotation of mammalian genomes. The full potential of this technology will be realized through development of approaches permitting regulated manipulation of endogenous gene expression with coordinated reexpression of exogenous transgenes. We describe the development of a lentiviral vector platform, pSLIK (single lentivector for inducible knockdown), which permits tetracycline-regulated expression of microRNA-like short hairpin RNAs from a single viral infection of any naïve cell system. In mouse embryonic fibroblasts, the pSLIK platform was used to conditionally deplete the expression of the heterotrimeric G proteins Gα12 and Gα13 both singly and in combination, demonstrating the Gα13 dependence of serum response element-mediated transcription. In RAW264.7 macrophages, regulated knockdown of Gβ2 correlated with a reduced Ca2+ response to C5a. Insertion of a GFP transgene upstream of the Gβ2 microRNA-like short hairpin RNA allowed concomitant reexpression of a heterologous mRNA during tetracycline-dependent target gene knockdown, significantly enhancing the experimental applicability of the pSLIK system.

Assembly of an A kinase-anchoring protein–β2-adrenergic receptor complex facilitates receptor phosphorylation and signaling

Phosphorylation of G-protein-coupled receptors by second-messenger-stimulated kinases is central to the process of receptor desensitization [1-3]. Phosphorylation of the beta(2)-adrenergic receptor (beta(2)-AR) by protein kinase A (PKA), in addition to uncoupling adenylate cyclase activation, is obligatory for receptor-mediated activation of mitogen-activated protein kinase (MAP kinase) cascades [4] [5]. Although mechanisms for linking G-protein-coupled receptor kinases to the activated receptor are well established, analogous mechanisms for targeting second messenger kinases to the beta(2)-AR at the plasma membrane have not been elucidated. Here we show that the A-kinase-anchoring protein, AKAP79/150, co-precipitates with the beta(2)-AR in cell and tissue extracts, nucleating a signaling complex that includes PKA, protein kinase C (PKC) and protein phosphatase PP2B. The anchoring protein directly and constitutively interacts with the beta(2)-AR and promotes receptor phosphorylation following agonist stimulation. Functional studies show that PKA anchoring is required to enhance beta(2)-AR phosphorylation and to facilitate downstream activation of the MAP kinase pathway. This defines a role for AKAP79/150 in the recruitment of second-messenger-regulated signaling enzymes to a G-protein-coupled receptor.

Phagocytosis by neutrophils induces an amino acid deprivation response in Saccharomyces cerevisiae and Candida albicans

The transcriptional profiles of yeast cells that have been phagocytosed by either human neutrophils or monocytes were compared by using whole genome arrays. After phagocytosis by neutrophils, both Saccharomyces cerevisiae and Candida albicans respond by inducing genes of the methionine and arginine pathways. Neither of these pathways is induced upon phagocytosis by monocytes. Both fungi show a similar induction of these pathways when transferred from amino acid-rich medium to amino acid-deficient medium. These data suggest that the internal phagosome of the neutrophil is an amino acid-deficient environment.

Use of a cAMP BRET Sensor to Characterize a Novel Regulation of cAMP by the Sphingosine 1-Phosphate/G13 Pathway

Regulation of intracellular cyclic adenosine 3 ′,5 ′-monophosphate (cAMP) is integral in mediating cell growth, cell differentiation, and immune responses in hematopoietic cells. To facilitate studies of cAMP regulation we developed a BRET (bioluminescence resonance energy transfer) sensor for cAMP, CAMYEL (cAMP sensor using YFP-Epac-RLuc), which can quantitatively and rapidly monitor intracellular concentrations of cAMP in vivo. This sensor was used to characterize three distinct pathways for modulation of cAMP synthesis stimulated by presumed Gs-dependent receptors for isoproterenol and prostaglandin E2. Whereas two ligands, uridine 5 ′-diphosphate and complement C5a, appear to use known mechanisms for augmentation of cAMP via Gq/calcium and Gi, the action of sphingosine 1-phosphate (S1P) is novel. In these cells, S1P, a biologically active lysophospholipid, greatly enhances increases in intracellular cAMP triggered by the ligands for Gs-coupled receptors while having only a minimal effect by itself. The enhancement of cAMP by S1P is resistant to pertussis toxin and independent of intracellular calcium. Studies with RNAi and chemical perturbations demonstrate that the effect of S1P is mediated by the S1P2 receptor and the heterotrimeric G13 protein. Thus in these macrophage cells, all four major classes of G proteins can regulate intracellular cAMP.

Suppression of LPS-Induced TNF-α Production in Macrophages by cAMP Is Mediated by PKA-AKAP95-p105

Distinct anchoring proteins enable cAMP signaling to selectively modulate macrophage responses to pathogens. Specific Scaffolds Macrophages are innate immune cells that mediate early responses to infection by sensing microbial products through Toll-like receptors (TLRs) and producing proinflammatory compounds, such as tumor necrosis factor–α (TNF-α). A modulator of this proinflammatory response is prostaglandin E2 (PGE2), which activates G protein–coupled receptors that couple to Gαs, leading to the production of cyclic adenosine monophosphate (cAMP). As well as inhibiting the production of TNF-α by macrophages in response to the TLR4 agonist LPS, PGE2 and cAMP also stimulate the production of the anti-inflammatory cytokines interleukin-10 (IL-10) and granulocyte colony-stimulating factor (G-CSF) (see the Perspective by Peters-Golden). Wall et al. found that the pleiotropic effects of PGE2 and cAMP on LPS-stimulated cytokine production depended on the fate of cAMP-dependent protein kinase (PKA). Selective binding of activated PKA to different scaffold proteins known as A kinase–anchoring proteins (AKAPs) resulted in differential effects on the expression of genes encoding cytokines. In particular, cAMP-dependent inhibition of TNF-α expression involved phosphorylation of the NF-κB transcription factor p105 by PKA bound to AKAP95, which inhibited the nuclear translocation of the transcription factor, whereas the effect of PKA on the enhancement of G-CSF expression was mediated by another AKAP; the effect of PKA on IL-10 expression was AKAP-independent. Together, these data uncover crosstalk between TLR4 and cAMP signaling pathways that depend on the differential localization of PKA by different scaffold proteins, which could have implications for anti-inflammatory therapies. The activation of macrophages through Toll-like receptor (TLR) pathways leads to the production of a broad array of cytokines and mediators that coordinate the immune response. The inflammatory potential of this response can be reduced by compounds, such as prostaglandin E2, that induce the production of cyclic adenosine monophosphate (cAMP). Through experiments with cAMP analogs and multigene RNA interference (RNAi), we showed that key anti-inflammatory effects of cAMP were mediated specifically by cAMP-dependent protein kinase (PKA). Selective inhibitors of PKA anchoring, time-lapse microscopy, and RNAi screening suggested that differential mechanisms of PKA action existed. We showed a specific role for A kinase–anchoring protein 95 in suppressing the expression of the gene encoding tumor necrosis factor–α, which involved phosphorylation of p105 (also known as Nfkb1) by PKA at a site adjacent to the region targeted by inhibitor of nuclear factor κB kinases. These data suggest that crosstalk between the TLR4 and cAMP pathways in macrophages can be coordinated through PKA-dependent scaffolds that localize specific pools of the kinase to distinct substrates.

Systems Biology in Immunology: A Computational Modeling Perspective*

Systems biology is an emerging discipline that combines high-content, multiplexed measurements with informatic and computational modeling methods to better understand biological function at various scales. Here we present a detailed review of the methods used to create computational models and to conduct simulations of immune function. We provide descriptions of the key data-gathering techniques employed to generate the quantitative and qualitative data required for such modeling and simulation and summarize the progress to date in applying these tools and techniques to questions of immunological interest, including infectious disease. We include comments on what insights modeling can provide that complement information obtained from the more familiar experimental discovery methods used by most investigators and the reasons why quantitative methods are needed to eventually produce a better understanding of immune system operation in health and disease.

Overview of the Alliance for Cellular Signaling

The Alliance for Cellular Signaling is a large-scale collaboration designed to answer global questions about signalling networks. Pathways will be studied intensively in two cells — B lymphocytes (the cells of the immune system) and cardiac myocytes — to facilitate quantitative modelling. One goal is to catalyse complementary research in individual laboratories; to facilitate this, all alliance data are freely available for use by the entire research community.The Alliance for Cellular Signaling is a large-scale collaboration designed to answer global questions about signalling networks. Pathways will be studied intensively in two cells — B lymphocytes (the cells of the immune system) and cardiac myocytes — to facilitate quantitative modelling. One goal is to catalyse complementary research in individual laboratories; to facilitate this, all alliance data are freely available for use by the entire research community.

Navigating the signalling network in mouse cardiac myocytes

Cardiac myocytes have a complex network of signals that regulates their essential role in the rhythmic pumping of the heart. This network is an appealing model system in which to study the basic principles underlying cellular signalling mechanisms. Progress in this effort has come through the establishment of standardized myocyte isolation and culture procedures and characterization of important signalling responses.

Multiscale modeling for biologists

Biomedical research frequently involves performing experiments and developing hypotheses that link different scales of biological systems such as, for instance, the scales of intracellular molecular interactions to the scale of cellular behavior and beyond to the behavior of cell populations. Computational modeling efforts that aim at exploring such multiscale systems quantitatively with the help of simulations have to incorporate several different simulation techniques because of the different time and space scales involved. Here, we provide a nontechnical overview of how different scales of experimental research can be combined with the appropriate computational modeling techniques. We also show that current modeling software permits building and simulating multiscale models without having to become involved with the underlying technical details of computational modeling. Copyright