Rôles des facteurs angiogéniques dans le système nerveux central

Les réseaux vasculaires et nerveux présentent des similitudes frappantes (points de branchements, superposition, voies afférentes/efférentes, ) et tous deux interagissent lors du développement ou dans le cadre de pathologies.Dans un premier projet, nous avons voulu déterminer si un facteur pro-angiogénique, c'est-à-dire induisant la formation de nouveaux vaisseaux, peut avoir un effet direct sur le réseau neuronal. Des études menées in vitro ou in vivo chez l adulte, ont montré une implication directe du Vascular Endothelial Growth Factor (VEGF) sur le système nerveux (survie, prolifération neuronale, croissance axonale, ). Nous avons cherché à savoir si ce facteur a un effet sur le développement ou l activité des réseaux neuronaux lors de la vie embryonnaire alors que les systèmes vasculaires et nerveux se mettent progressivement en place. Avec une approche électrophysiologique, nous avons focalisé notre attention sur les motoneurones de la moelle épinière de souris entre les stades E13,5 et P0. Nos résultats montrent que le VEGF augmente de façon significative la fréquence des activités synaptiques liées à la libération de GABA et de Glycine pendant une fenêtre temporelle correspondant à la mise en place de ces mêmes activités (E13,5 et E15,5). Cet effet modulateur met en évidence un nouveau rôle du VEGF dans la maturation fonctionnelle des réseaux neuronaux et ouvre de nouvelles perspectives dans l étude des neurodégénérescences précoces. Dans un second projet, nous nous sommes intéressés au glioblastome, cancer cérébral très invasif. Nous montrons que l inhibition d IRE1 (Inositol Requiring-Enzyme 1, senseur du stress du réticulum endoplasmique) dans un modèle d implantation orthotopique chez la souris induit la formation de tumeurs plus petites, moins vascularisées et plus dispersées avec un meilleur pronostic de survie. Nous observons aussi des altérations du microenvironnement tumoral (matrice extracellulaire, réaction astrocytaire) avec des modifications de l expression de nombreux facteurs de croissance dont le TGFß.The nervous and the vascular systems share similarities (branching points, afferent/efferent parts ) and are closely connected during development and pathology.In the first part of this project, we questioned whether the pro-angiogenic key factor VEGF (Vascular Endothelial Growth Factor), which promotes new blood vessels formation, can directly interact with neural networks while nervous and vascular systems are developing. In the present study, using an electrophysiological approach, we focused on the effect of VEGF on embryonic spinal lumbar motoneurons (MNs). Our results demonstrate that VEGF increases the frequency of the GABA/glycinergic events at early developmental stages (E13.5 and E15.5) but not at the perinatal stage E17.5. Our data highlight a new role for VEGF which can control both the maturation of the vascular and neuronal networks and may likely be involved in early MNs degeneration.In the second part, we focused on glioblastoma, the most agressive form of brain cancer. Our results show that inhibition of IRE1 (Inositol Requiring-Enzyme 1, stress sensor of endoplasmic reticulum) leads to formation of smaller, less vascularized, more invasive tumors with a better prognosis. We also observe that tumoral microenvironnement is altered (reactive astrogliosis, extracellular matrix) and expression of several growth factors like TGFß is modified.BORDEAUX1-Bib.electronique (335229901) / SudocSudocFranceF

Technological trampolines for new venture creation in Catalonia : the case of the University of Girona

Recent trends in technology transfer show an intensification of spin-off creation as a modality of university research commercialisation, complementary to the conventional ones, contract research and licensing. In this paper we analyse the evolution, objectives, resources and activities of a specialised unit -Technological Trampoline (TT) - in charge of new venture creation at the University of Girona (Catalonia-Spain). Based on two theoretical frameworks, Resource-based-view and Institutional Theory, we adopt a multi-dimensional approach to study the strategy of spinning-off new ventures at the University of Girona in terms of resources and activities, how this process is organised and if the outputs fit with this UdG's objectives and the local environment. Our main contribution is an in-depth analysis of the spin-off creation unit with special emphasis on its variety of resources and activities. The results have a series of implications and recommendations at both university and TT level

A computational framework for gene regulatory network inference that combines multiple methods and datasets

<p>Abstract</p> <p>Background</p> <p>Reverse engineering in systems biology entails inference of gene regulatory networks from observational data. This data typically include gene expression measurements of wild type and mutant cells in response to a given stimulus. It has been shown that when more than one type of experiment is used in the network inference process the accuracy is higher. Therefore the development of generally applicable and effective methodologies that embed multiple sources of information in a single computational framework is a worthwhile objective.</p> <p>Results</p> <p>This paper presents a new method for network inference, which uses multi-objective optimisation (MOO) to integrate multiple inference methods and experiments. We illustrate the potential of the methodology by combining ODE and correlation-based network inference procedures as well as time course and gene inactivation experiments. Here we show that our methodology is effective for a wide spectrum of data sets and method integration strategies.</p> <p>Conclusions</p> <p>The approach we present in this paper is flexible and can be used in any scenario that benefits from integration of multiple sources of information and modelling procedures in the inference process. Moreover, the application of this method to two case studies representative of bacteria and vertebrate systems has shown potential in identifying key regulators of important biological processes.</p

Practical considerations for omics experiments in biomedical sciences

Modern analytical techniques provide an unprecedented insight to biomedical samples, allowing an in depth characterization of cells or body fluids, to the level of genes, transcripts, peptides, proteins, metabolites, or metallic ions. The fine grained picture provided by such approaches holds the promise for a better understanding of complex pathologies, and consequently the personalization of diagnosis, prognosis and treatment procedures. In practice however, technical limitations restrict the resolution of the acquired data, and thus of downstream biomedical inference. As a result, the study of complex diseases like leukemia and other types of cancer is impaired by the high heterogeneity of pathologies as well as patient profiles. In this review, we propose an introduction to the general approach of characterizing samples and inferring biomedical results. We highlight the main limitations of the technique with regards to complex and heterogeneous pathologies, and provide ways to overcome these by improving the ability of experiments in discriminating samples.acceptedVersio

Gene signatures in wound tissue as evidenced by molecular profiling in the chick embryo model

<p>Abstract</p> <p>Background</p> <p>Modern functional genomic approaches may help to better understand the molecular events involved in tissue morphogenesis and to identify molecular signatures and pathways. We have recently applied transcriptomic profiling to evidence molecular signatures in the development of the normal chicken chorioallantoic membrane (CAM) and in tumor engrafted on the CAM. We have now extended our studies by performing a transcriptome analysis in the "wound model" of the chicken CAM, which is another relevant model of tissue morphogenesis.</p> <p>Results</p> <p>To induce granulation tissue (GT) formation, we performed wounding of the chicken CAM and compared gene expression to normal CAM at the same stage of development. Matched control samples from the same individual were used. We observed a total of 282 genes up-regulated and 44 genes down-regulated assuming a false-discovery rate at 5% and a fold change > 2. Furthermore, bioinformatics analysis lead to the identification of several categories that are associated to organismal injury, tissue morphology, cellular movement, inflammatory disease, development and immune system. Endothelial cell data filtering leads to the identification of several new genes with an endothelial cell signature.</p> <p>Conclusions</p> <p>The chick chorioallantoic wound model allows the identification of gene signatures and pathways involved in GT formation and neoangiogenesis. This may constitute a fertile ground for further studies.</p

Beyond the tumour microenvironment

In contrast to the once dominant tumour-centric view of cancer, increasing attention is now being paid to the tumour microenvironment (TME), generally understood as the elements spatially located in the vicinity of the tumour. Thinking in terms of TME has proven extremely useful, in particular because it has helped identify and comprehend the role of nongenetic and noncell-intrinsic factors in cancer development. Yet some current approaches have led to a TME-centric view, which is no less problematic than the former tumour-centric vision of cancer, insofar as it tends to overlook the role of components located beyond the TME, in the 'tumour organismal environment' (TOE). In this minireview, we highlight the explanatory and therapeutic shortcomings of the TME-centric view and insist on the crucial importance of the TOE in cancer progression

The Multiple Layers of the Tumor Environment

The notion of tumor microenvironment (TME) has been brought to the forefront of recent scientific literature on cancer. However, there is no consensus on how to define and spatially delineate the TME. We propose that the time is ripe to go beyond an all-encompassing list of the components of the TME, and to construct a multilayered view of cancer. We distinguish six layers of environmental interactions with the tumor and show that they are associated with distinct mechanisms, and ultimately with distinct therapeutic approaches

Front Physiol

Glioblastoma is among the most common tumor of the central nervous system in adults. Overall survival has not significantly improved over the last decade, even with optimizing standard therapeutic care including extent of resection and radio- and chemotherapy. In this article, we review features of the brain vasculature found in healthy cerebral tissue and in glioblastoma. Brain vessels are of various sizes and composed of several vascular cell types. Non-vascular cells such as astrocytes or microglia also interact with the vasculature and play important roles. We also discuss engineered artificial blood vessels which may represent useful models for better understanding the tumor-vessel interaction. Finally, we summarize results from clinical trials with anti-angiogenic therapy alone or in combination, and discuss the value of these approaches for targeting glioblastoma

Blocking Fibroblast Growth Factor Receptor Signaling Inhibits Tumor Growth, Lymphangiogenesis, and Metastasis

Peer reviewe

Lactate dehydrogenases promote glioblastoma growth and invasion via a metabolic symbiosis

Lactate is a central metabolite in brain physiology but also contributes to tumor development. Glioblastoma (GB) is the most common and malignant primary brain tumor in adults, recognized by angiogenic and invasive growth, in addition to its altered metabolism. We show herein that lactate fuels GB anaplerosis by replenishing the tricarboxylic acid (TCA) cycle in absence of glucose. Lactate dehydrogenases (LDHA and LDHB), which we found spatially expressed in GB tissues, catalyze the interconversion of pyruvate and lactate. However, ablation of both LDH isoforms, but not only one, led to a reduction in tumor growth and an increase in mouse survival. Comparative transcriptomics and metabolomics revealed metabolic rewiring involving high oxidative phosphorylation (OXPHOS) in the LDHA/B KO group which sensitized tumors to cranial irradiation, thus improving mouse survival. When mice were treated with the antiepileptic drug stiripentol, which targets LDH activity, tumor growth decreased. Our findings unveil the complex metabolic network in which both LDHA and LDHB are integrated and show that the combined inhibition of LDHA and LDHB strongly sensitizes GB to therapy.publishedVersio