Electromagnetic cellular interactions

Chemical and electrical interaction within and between cells is well established. Just the opposite is true about cellular interactions via other physical fields. The most probable candidate for an other form of cellular interaction is the electromagnetic field. We review theories and experiments on how cells can generate and detect electromagnetic fields generally, and if the cell-generated electromagnetic field can mediate cellular interactions. We do not limit here ourselves to specialized electro-excitable cells. Rather we describe physical processes that are of a more general nature and probably present in almost every type of living cell. The spectral range included is broad; from kHz to the visible part of the electromagnetic spectrum. We show that there is a rather large number of theories on how cells can generate and detect electromagnetic fields and discuss experimental evidence on electromagnetic cellular interactions in the modern scientific literature. Although small, it is continuously accumulating.     

New regulatory interactions and cellular responses in the isthmic organizer region revealed by altering Gbx2 expression

The mouse homeobox gene Gbx2 is first expressed throughout the posterior region of the embryo during gastrulation, and becomes restricted to rhombomeres 1-3 (r1-3) by embryonic day 8.5 (E8.5). Previous studies have shown that r1-3 do not develop in Gbx2 mutants and that there is an early caudal expansion of the midbrain gene Otx2 to the anterior border of r4. Furthermore, expression of Wnt1 and Fgf8, two crucial components of the isthmic organizer, is no longer segregated to adjacent domains in Gbx2 mutants. In this study, we extend the phenotypic analysis of Gbx2 mutants by showing that Gbx2 is not only required for development of r1-3, but also for normal gene expression in r4-6. To determine whether Gbx2 can alter hindbrain development, we generated Hoxb1-Gbx2 (HG) transgenic mice in which Gbx2 is ectopically expressed in r4. We show that Gbx2 is not sufficient to induce r1-3 development in r4. To test whether an Otx2/Gbx2 interface can induce r1-3 development, we introduced the HG transgene onto a Gbx2-null mutant background and recreated a new Otx2/Gbx2 border in the anterior hindbrain. Development of r3, but not r1 and r2, is rescued in Gbx2-/-; HG embryos. In addition, the normal spatial relationship of Wnt1 and Fgf8 is established at the new Otx2/Gbx2 border, demonstrating that an interaction between Otx2 and Gbx2 is sufficient to produce the normal pattern of Wnt1 and Fgf8 expression. However, the expression domains of Fgf8 and Spry1, a downstream target of Fgf8, are greatly reduced in mid/hindbrain junction area of Gbx2-/-; HG embryos and the posterior midbrain is truncated because of abnormal cell death. Interestingly, we show that increased cell death and a partial loss of the midbrain are associated with increased expression of Fgf8 and Spry1 in Gbx2 conditional mutants that lack Gbx2 in r1 after E9.0. These results together suggest that cell survival in the posterior midbrain is positively or negatively regulated by Fgf8, depending on Fgf8 expression level. Our studies provide new insights into the regulatory interactions that maintain isthmic organizer gene expression and the consequences of altered levels of organizer gene expression on cell survival.     

Visualizing regulatory interactions in metabolic networks

Background  

Direct visualization of data sets in the context of biochemical network drawings is one of the most appealing approaches in the field of data evaluation within systems biology. One important type of information that is very helpful in interpreting and understanding metabolic networks has been overlooked so far. Here we focus on the representation of this type of information given by the strength of regulatory interactions between metabolite pools and reaction steps.     

Computational approaches for modeling regulatory cellular networks

Cellular components interact with each other to form networks that process information and evoke biological responses. A deep understanding of the behavior of these networks requires the development and analysis of mathematical models. In this article, different types of mathematical representations for modeling signaling networks are described, and the advantages and disadvantages of each type are discussed. Two experimentally well-studied signaling networks are then used as examples to illustrate the insight that could be gained through modeling. Finally, the modeling approach is expanded to describe how signaling networks might regulate cellular machines and evoke phenotypic behaviors.     

Redox regulatory mechanisms in cellular stress responses

BACKGROUND: Reactive oxygen species are produced in a highly localized and specific pattern in biological stress responses. The present review examines the redox regulatory aspects of a number of molecular stress response mechanisms in both prokaryotes and eukaryotes. SCOPE: The present review provides examples representing both the cytoplasmic stress response, often studied as the heat shock response, as well as the stress response of the endoplasmic reticulum, known as the unfolded protein response. The examples have been selected to illustrate the variety of ways that redox signals mediate and affect stress responses. CONCLUSIONS: Redox regulatory mechanisms are intricately embedded in both the cytoplasmic and endoplasmic reticulum stress responses at multiple levels. Many different stimuli, both internal and external, activate endogenous production of reactive oxygen species as a necessary part of the intracellular communication system that activates stress responses.     

Modular response analysis of cellular regulatory networks

The sheer complexity of intracellular regulatory networks, which involve signal transducing, metabolic, and genetic circuits, hampers our ability to carry out a quantitative analysis of their functions. Here, we describe an approach that greatly simplifies this type of analysis by capitalizing on the modular organization of such networks. Steady-state responses of the network as a whole are accounted for in terms of intermodular interactions between the modules alone; processes operating solely within modules need not be considered when analysing signal transfer through the entire network. The intermodular interactions are quantified through (local) response coefficients which populate an interaction map (matrix). This matrix can be derived from a biochemical or molecular biological analysis of (macro) molecular interactions that constitute the regulatory network. The approach is illustrated by two examples: (i) mitogenic signalling through the mitogen-activated protein kinase cascade in the epidermal growth factor receptor network and (ii) regulation of ammonium assimilation in Escherichia coli.     

Functional interactions between polydnavirus and host cellular innexins

Polydnaviruses are double-stranded DNA viruses associated with some subfamilies of ichneumonoid parasitoid wasps. Polydnavirus virions are delivered during wasp parasitization of a host, and virus gene expression in the host induces alterations of host physiology. Infection of susceptible host caterpillars by the polydnavirus Campoletis sonorensis ichnovirus (CsIV) leads to expression of virus genes, resulting in immune and developmental disruptions. CsIV carries four homologues of insect gap junction genes (innexins) termed vinnexins, which are expressed in multiple tissues of infected caterpillars. Previously, we demonstrated that two of these, VinnexinD and VinnexinG, form functional gap junctions in paired Xenopus oocytes. Here we show that VinnexinQ1 and VinnexinQ2, likewise, form junctions in this heterologous system. Moreover, we demonstrate that the vinnexins interact differentially with the Innexin2 orthologue of an ichnovirus host, Spodoptera frugiperda. Cell pairs coexpressing a vinnexin and Innexin2 or pairs in which one cell expresses a vinnexin and the neighboring cell Innexin2 assemble functional junctions with properties that differ from those of junctions composed of Innexin2 alone. These data suggest that altered gap junctional intercellular communication may underlie certain cellular pathologies associated with ichnovirus infection of caterpillar hosts.     

Tumor-bone cellular interactions in skeletal metastases

Human tumor cells inoculated into the arterial circulation of immunocompromised mice can reliably cause bone metastases, reproducing many of the clinical features seen in patients. Animal models permit the identification of tumor-produced factors, which act on bone cells, and of bone-derived factors. Local interactions stimulated by these factors drive a vicious cycle between tumor and bone that perpetuates skeletal metastases. Bone metastases can be osteolytic, osteoblastic, or mixed. Parathyroid hormone-related protein, PTHrP, is a common osteolytic factor, while vascular endothelial growth factor and interleukins 8 and 11 also contribute. Osteoblastic metastases can be caused by tumor-secreted endothelin-1, ET-1. Other potential osteoblastic factors include bone morphogenetic proteins, platelet-derived growth factor, connective tissue growth factor, stanniocalcin, N-terminal fragments of PTHrP, and adrenomedullin. Osteoblasts are the main regulators of osteoclasts, and stimulation of osteoblast proliferation can increase osteoclast formation and activity. Thus, combined expression of osteoblastic and osteolytic factors can lead to mixed metastases or to increased osteolysis. Prostate-specific antigen is a protease, which can cleave PTHrP and thus change the balance of osteolytic versus osteoblastic responses to metastatic tumor cells. Bone itself stimulates tumor by releasing insulin-like growth factors and transforming growth factor-beta. Secreted factors transmit the interactions between tumor and bone. They provide novel targets for therapeutic interactions to break the vicious cycle of bone metastases. Clinically approved bisphosphonate anti-resorptive drugs reduce the release of active factors stored in bone, and PTHrP-neutralizing antibody, inhibitors of the RANK ligand pathway, and ET-1 receptor antagonist are in clinical trials. These adjuvant therapies act on bone cells, rather than the tumor cells. Recent gene array experiments identify additional factors, which may in the future prove to be clinically important targets.     

S-Nitrosylation signaling regulates cellular protein interactions

BACKGROUND: S-Nitrosothiols are made by nitric oxide synthases and other metalloproteins. Unlike nitric oxide, S-nitrosothiols are involved in localized, covalent signaling reactions in specific cellular compartments. These reactions are enzymatically regulated. SCOPE: S-Nitrosylation affects interactions involved in virtually every aspect of normal cell biology. This article is part of a Special Issue entitled Regulation of Cellular Processes by S-nitrosylation. MAJOR CONCLUSIONS AND SIGNIFICANCE: S-Nitrosylation is a regulated signaling reaction.     

Distinct cellular receptor interactions in poliovirus and rhinoviruses

Receptor binding to human poliovirus type 1 (PV1/M) and the major group of human rhinoviruses (HRV) was studied comparatively to uncover the evolution of receptor recognition in picornaviruses. Surface plas- mon resonance showed receptor binding to PV1/M with faster association and dissociation rates than to HRV3 and HRV16, two serotypes that have similar binding kinetics. The faster rate for receptor association to PV1/M suggested a relatively more accessible binding site. Thermodynamics for receptor binding to the viruses and assays for receptor-mediated virus uncoating showed a more disruptive receptor interaction with PV1/M than with HRV3 or HRV16. Cryo-electron microscopy and image reconstruction of receptor-PV1/M complexes revealed receptor binding to the 'wall' of surface protrusions surrounding the 'canyon', a depressive surface in the capsid where the rhinovirus receptor binds. These data reveal more exposed receptor-binding sites in poliovirus than rhinoviruses, which are less protected from immune surveillance but more suited for receptor-mediated virus uncoating and entry at the cell surface.     

Evolution of regulatory interactions controlling floral asymmetry

A key challenge in evolutionary biology is to understand how new morphologies can arise through changes in gene regulatory networks. For example, floral asymmetry is thought to have evolved many times independently from a radially symmetrical ancestral condition, yet the molecular changes underlying this innovation are unknown. Here, we address this problem by investigating the action of a key regulator of floral asymmetry, CYCLOIDEA (CYC), in species with asymmetric and symmetric flowers. We show that CYC encodes a DNA-binding protein that recognises sites in a downstream target gene RADIALIS (RAD) in Antirrhinum. The interaction between CYC and RAD can be reconstituted in Arabidopsis, which has radially symmetrical flowers. Overexpression of CYC in Arabidopsis modifies petal and leaf development, through changes in cell proliferation and expansion at various stages of development. This indicates that developmental target processes are influenced by CYC in Arabidopsis, similar to the situation in Antirrhinum. However, endogenous RAD-like genes are not activated by CYC in Arabidopsis, suggesting that co-option of RAD may have occurred specifically in the Antirrhinum lineage. Taken together, our results indicate that floral asymmetry may have arisen through evolutionary tinkering with the strengths and pattern of connections at several points in a gene regulatory network.     

Novel regulatory interactions and activities of mammalian tRNA synthetases

Aminoacyl-tRNA synthetases (ARSs) catalyze the attachment of specific amino acids to their cognate tRNAs, thereby ensuring the faithful translation of genetic code. In addition to their enzymatic function, these enzymes have been discovered to regulate various cellular functions such as tRNA export, ribosomal RNA synthesis, apoptosis, inflammation and angiogenesis in mammalian. The insights into the noncanonical activities of these enzymes have been obtained from their unique cellular localization, interacting partners, isoform generation and expression control. Mammalian ARSs also form a macromolecular protein complex with a few auxiliary factors. Although the physiological significance of this complex is poorly understood, it also supports the potential of mammalian ARSs as sophisticated multifunctional proteins for regulating various cellular procedures. In this review, the novel regulatory activities of mammalian ARSs will be discussed in different biological processes.     

Functional and cellular interactions between nitric oxide and prostacyclin

Nitric oxide (NO) and prostacyclin (PGI(2)) can be released by vascular agents to synergize their effects on vascular relaxation. In the present study we assess whether NO could affect PGI(2) production. We evaluated the effect of NO on PGI(2)-mediated arachidonic acid (AA)-induced relaxation in the perfused heart. We used cultured endothelial cells to characterize the mechanism involved in the NO effect on PGI(2) synthesis. AA-induced PGI(2) synthesis was enhanced when NO synthesis was inhibited. NO inhibited AA-induced relaxation and PGI(2) release in the coronary circulation. S-Nitroso-acetyl-DL-penicillamine (SNAP) decreased PGI(2) production in cultured endothelial cells. The SNAP effect was blunted by the inhibitor of soluble guanylate cyclase (LY-83,583) and the blocker of cGMP-dependent protein kinases (H-9). Specific cyclooxygenase-1 (COX-1) immunoprecipitation was associated to co-precipitation of four proteins. COX-1 showed neither serine nor threonine phosphorylation. One of the proteins that co-precipitated with COX-1 presented increased serine phosphorylation in the presence of SNAP. This effect was inhibited by the H-9. We suggest that NO, through cGMP-dependent protein kinases, produces the phosphorylation of a 104-kDa protein that is associated with inhibition in the activity of the COX-1, decreasing PGI(2) synthesis and thereby decreasing coronary PGI(2)-mediated vasodilatation.