Purinergic P2Y2 receptors modulate endothelial sprouting.

Purinergic P2 receptors are critical regulators of several functions within the vascular system, including platelet aggregation, vascular inflammation, and vascular tone. However, a role for ATP release and P2Y receptor signalling in angiogenesis remains poorly defined. Here, we demonstrate that blood vessel growth is controlled by P2Y2 receptors. Endothelial sprouting and vascular tube formation were significantly dependent on P2Y2 expression and inhibition of P2Y2 using a selective antagonist blocked microvascular network generation. Mechanistically, overexpression of P2Y2 in endothelial cells induced the expression of the proangiogenic molecules CXCR4, CD34, and angiopoietin-2, while expression of VEGFR-2 was decreased. Interestingly, elevated P2Y2 expression caused constitutive phosphorylation of ERK1/2 and VEGFR-2. However, stimulation of cells with the P2Y2 agonist UTP did not influence sprouting unless P2Y2 was constitutively expressed. Finally, inhibition of VEGFR-2 impaired spontaneous vascular network formation induced by P2Y2 overexpression. Our data suggest that P2Y2 receptors have an essential function in angiogenesis, and that P2Y2 receptors present a therapeutic target to regulate blood vessel growth.

Expression profiling of angiogenesis-related genes in brain metastases of lung cancer and melanoma.

Brain metastases (BM) are the most common brain tumors of adults and are associated with fatal prognosis. Formation of new blood vessels, named angiogenesis, was proposed to be the main hallmark of the growth of BM. Previous preclinical evidence revealed that angiogenic blockage might be considered for treatment; however, there were varying responses. In this study, we aimed to characterize the expression pattern of angiogenesis-related genes in BM of lung cancer and melanoma, which might be of importance for the different responses against anti-angiogenic treatment. Fifteen snap-frozen tissues obtained from BM of non-small cell lung cancer (NSCLC), small-cell lung cancer (SCLC), and melanoma patients were analyzed for angiogenesis-related genes using a commercially available gene expression kit. Epilepsy tissue was used as control. Expression values were analyzed using hierarchical clustering investigating relative fold changes and mapping to Omicsnet protein interaction network. CXCL10, CEACAM1, PECAM1, KIT, COL4A2, COL1A1, and HSPG2 genes were more than 50-fold up-regulated in all diagnosis groups when compared to control, whereas genes such as ANGPT4, PDGFRB, and SERPINF1 were down-regulated only in SCLC and melanoma groups, respectively. Using hierarchical clustering, 12 out of 15 cases were allocated to the correct histological primary tumor type. We identified genes with consistent up-regulation in BM of lung cancer and melanoma and other genes with differential expression across BM of these tumor types. Our data may be of relevance for targeted therapy or prophylaxis of BM using anti-angiogenic agents.

Synthetic lethality for linking the mycophenolate mofetil mode of action with molecular disease and drug profiles.

Systematic study of the effect of mycophenolate mofetil (MMF) on the molecular level in the context of other drugs and molecular disease profiles became possible due to the availability of large scale molecular profiles on both disease characterization and drug mode of action. Such analysis is of particular value in elucidating alternative drug use for addressing clinically unmet needs, and the concept of synthetic lethality provides an alternative tool for such repositioning strategies. Resting on consolidation of transcriptomics data and literature mining, a MMF molecular footprint became available including a set of 170 genes specifically affected by the drug. Analysis of this profile on a molecular pathway level reveals a set of 14 pathways as affected. Next to assignment of molecular pathways and associated diseases synergistic drug combinations are proposed by utilizing the synthetic lethal interaction network. Of particular interest is the combination of MMF with adenosine deaminase inhibitors, sulfasalazine, and other selected drugs interfering with calcium-based regulatory pathways and metabolism. Indeed analysis of drugs in clinical trials positively identifies combinations with MMF in the context of synthetic lethality and affected pathways, particularly in diseases such as multiple sclerosis, vasculitis, GVHD and lupus nephritis. Importantly, the synthetic lethal interaction of the drug mode of action is an interesting basis for rational repositioning strategies by suggesting combinations which exhibit a synergistic rather than a mere additive effect, as for example is evident for the combination of tacrolimus and MMF. Inherent is also the assessment of possible adverse effects of drug combinations.

Interleukin-1 receptor-mediated inflammation impairs the heat shock response of human mesothelial cells.

Bioincompatibility of peritoneal dialysis fluids (PDF) limits their use in renal replacement therapy. PDF exposure harms mesothelial cells but induces heat shock proteins (HSP), which are essential for repair and cytoprotection. We searched for cellular pathways that impair the heat shock response in mesothelial cells after PDF-exposure. In a dose-response experiment, increasing PDF-exposure times resulted in rapidly increasing mesothelial cell damage but decreasing HSP expression, confirming impaired heat shock response. Using proteomics and bioinformatics, simultaneously activated apoptosis-related and inflammation-related pathways were identified as candidate mechanisms. Testing the role of sterile inflammation, addition of necrotic cell material to mesothelial cells increased, whereas addition of the interleukin-1 receptor (IL-1R) antagonist anakinra to PDF decreased release of inflammatory cytokines. Addition of anakinra during PDF exposure resulted in cytoprotection and increased chaperone expression. Thus, activation of the IL-1R plays a pivotal role in impairment of the heat shock response of mesothelial cells to PDF. Danger signals from injured cells lead to an elevated level of cytokine release associated with sterile inflammation, which reduces expression of HSP and other cytoprotective chaperones and exacerbates PDF damage. Blocking the IL-1R pathway might be useful in limiting damage during peritoneal dialysis.

Detection of Toxoplasma gondii, Neospora caninum, and Encephalitozoon cuniculi in the brains of common voles (Microtus arvalis) and water voles (Arvicola terrestris) by gene amplification techniques in western Austria (Vorarlberg).

Knowledge about the protozoan parasite fauna in voles (Arvicolinae) in Austria is rather limited, although some of these pathogens play an important role in human medicine and cause zoonoses (e.g., Toxoplasma gondii and Encephalitozoon cuniculi). Others are of relevance in veterinary medicine and have a negative economic impact (e.g., Neospora caninum). Two hundred sixty-eight common voles (Microtus arvalis) and 86 water voles (Arvicola terrestris) from the most western Austrian province, Vorarlberg, were analyzed with PCR techniques for infections with T. gondii, N. caninum, and E. cuniculi. Brain tissues of two common voles (0.7%) and of four water voles (4.7%) tested positive for T. gondii. Furthermore, analysis of four common voles (1.5%) and two water voles (2.3%) generated positive findings for N. caninum, and brain tissues of 16 common voles (6%) and six water voles (7%) tested positive for E. cuniculi. Accordingly, this study not only demonstrates the autochthonous existence of the zoonotic parasites T. gondii and E. cuniculi in voles in Vorarlberg, it also provides the first evidence of an occurrence of N. caninum in animals of the subfamily Arvicolinae, and it is an additional contribution to investigations of the sylvatic cycle of N. caninum.

Stress responses and conditioning effects in mesothelial cells exposed to peritoneal dialysis fluid.

Renal replacement therapy by peritoneal dialysis is frequently complicated by technical failure. Peritoneal dialysis fluids (PDF) cause injury to the peritoneal mesothelial cell layer due to their cytotoxicity. As only isolated elements of the involved cellular processes have been studied before, we aimed at a global assessment of the mesothelial stress response to PDF. Following single or repeated exposure to PDF or control medium, proteomics and bioinformatics techniques were combined to study effects in mesothelial cells (MeT-5A). Protein expression was assessed by two-dimensional gel electrophoresis, and significantly altered spots were identified by MALDI-TOF MS and MS2 techniques. The lists of experimentally derived candidate proteins were expanded by a next neighbor approach and analyzed for significantly enriched biological processes. To address the problem of an unknown portion of false positive spots in 2DGE, only proteins showing significant p-values on both levels were further interpreted. Single PDF exposure resulted in reduction of biological processes in favor of reparative responses, including protein metabolism, modification and folding, with chaperones as a major subgroup. The observed biological processes triggered by this acute PDF exposure mainly contained functionally interwoven multitasking proteins contributing as well to cytoskeletal reorganization and defense mechanisms. Repeated PDF exposure resulted in attenuated protein regulation, reflecting inhibition of stress responses by high levels of preinduced chaperones. The identified proteins were less attributable to acute cellular injury but rather to specialized functions with a reduced number of involved multitasking proteins. This finding agrees well with the concept of conditioning effects and cytoprotection. In conclusion, this study describes the reprogrammed proteome of mesothelial cells during recovery from PDF exposure and adaption to repetitive stress. A broad stress response with a number of highly overlapping processes and multitasking proteins shifts toward a more specific response of only few less overlapping processes.

Linking the ovarian cancer transcriptome and immunome.

BACKGROUND: Autoantigens have been reported in a variety of tumors, providing insight into the interplay between malignancies and the immune response, and also giving rise to novel diagnostic and therapeutic concepts. Why certain tumor-associated proteins induce an immune response remains largely elusive. RESULTS: This paper analyzes the proposed link between increased abundance of a protein in cancerous tissue and the increased potential of the protein for induction of a humoral immune response, using ovarian cancer as an example. Public domain data sources on differential gene expression and on autoantigens associated with this malignancy were extracted and compared, using bioinformatics analysis, on the levels of individual genes and proteins, transcriptional coregulation, joint functional pathways, and shared protein-protein interaction networks. Finally, a selected list of ovarian cancer-associated, differentially regulated proteins was tested experimentally for reactivity with antibodies prevalent in sera of ovarian cancer patients.Genes reported as showing differential expression in ovarian cancer exhibited only minor overlap with the public domain list of ovarian cancer autoantigens. However, experimental screening for antibodies directed against antigenic determinants from ovarian cancer-associated proteins yielded clear reactions with sera. CONCLUSION: A link between tumor protein abundance and the likelihood of induction of a humoral immune response in ovarian cancer appears evident.

Transforming omics data into context: bioinformatics on genomics and proteomics raw data.

Differential gene expression analysis and proteomics have exerted significant impact on the elucidation of concerted cellular processes, as simultaneous measurement of hundreds to thousands of individual objects on the level of RNA and protein ensembles became technically feasible. The availability of such data sets has promised a profound understanding of phenomena on an aggregate level, expressed as the phenotypic response (observables) of cells, e.g., in the presence of drugs, or characterization of cells and tissue displaying distinct patho-physiological states. However, the step of transforming these data into context, i.e., linking distinct expression or abundance patterns with phenotypic observables - and furthermore enabling a sound biological interpretation on the level of reaction networks and concerted pathways, is still a major shortcoming. This finding is certainly based on the enormous complexity embedded in cellular reaction networks, but a variety of computational approaches have been developed over the last few years to overcome these issues. This review provides an overview on computational procedures for analysis of genomic and proteomic data introducing a sequential analysis workflow: Explorative statistics for deriving a first, from the purely statistical viewpoint, relevant candidate gene/protein list, followed by co-regulation and network analysis to biologically expand this core list toward functional networks and pathways. The review on these procedures is complemented by example applications tailored at identification of disease-associated proteins. Optimization of computational procedures involved, in conjunction with the continuous increase in additional biological data, clearly has the potential of boosting our understanding of processes on a cell-wide level.

Discrete simulation of regulatory homo- and heterodimerization in the apoptosis effector phase.

MOTIVATION: Quantitative simulation of molecular reaction networks is among the most promising approaches towards an understanding of complex biochemical pathways. Numerous qualitative as well as quantitative data from diverse experimental settings, in particular from genomics and proteomics, have to be contextually linked to convert static data into dynamic functionality. RESULTS: This paper presents the Lattice Molecular Automaton, a Cellular Automaton-based simulation tool, capable of representing complex molecular dynamics at different levels of granularity. A data structure concept represents molecular units, whose dynamics, embedded on a 2D grid, is defined via detailed intermolecular interaction profiles. The data structures hold diverse information as molecular type, potential, as well as kinetic energy states, which allows a precise representation of intracellular reaction networks. The molecular dynamics is performed via local computation of individual molecular states on the lattice, which, in conjunction with discretized space and time, enables excellent scalability of this simulation concept. This paper finally gives Lattice Molecular Automaton simulation results on key elements of apoptosis, the cell death cascade, in particular focusing on the regulatory function of homo- and heterodimerization of members of the Bcl-2 protein family in the apoptosis effector phase. The regulatory proteins Bcl2, Bax, and Bak constitute a diffusion-driven molecular switch with inherent damping of apoptosis induction, thereby controlling the apoptosis reaction cascade under noisy, external apoptosis inducing conditions.