Éditeur(s) : HAL CCSD Nature Publishing Group
Résumé : International audience
Cancer cells display alterations in many cellular processes. One core hallmark of cancer is the Warburg effect which is a glycolytic reprogramming that allows cells to survive and proliferate. Although the contributions of environmental contaminants to cancer development are widely accepted, the underlying mechanisms have to be clarified. Benzo[a]pyrene (B[a]P), the prototype of polycyclic aromatic hydrocarbons, exhibits genotoxic and carcinogenic effects, and it is a human carcinogen according to the International Agency for Research on Cancer. In addition to triggering apoptotic signals, B[a]P may induce survival signals, both of which are likely to be involved in cancer promotion. We previously suggested that B[a]P-induced mitochondrial dysfunctions, especially membrane hyperpolarization, might trigger cell survival signaling in rat hepatic epithelial F258 cells. Here, we further characterized these dysfunctions by focusing on energy metabolism. We found that B[a]P promoted a metabolic reprogramming. Cell respiration decreased and lactate production increased. These changes were associated with alterations in the tricarboxylic acid cycle which likely involve a dysfunction of the mitochondrial complex II. The glycolytic shift relied on activation of the Na+/H+ exchanger 1 (NHE1) and appeared to be a key feature in B[a]P-induced cell survival related to changes in cell phenotype (epithelial-to-mesenchymal transition and cell migration).
ISSN: 2045-2322

Droits : http://creativecommons.org/licenses/by/
hal-01359569
https://hal-univ-rennes1.archives-ouvertes.fr/hal-01359569
https://hal-univ-rennes1.archives-ouvertes.fr/hal-01359569/document
https://hal-univ-rennes1.archives-ouvertes.fr/hal-01359569/file/The%20environmental%20carcinogen-CCBY%20%281%29.pdf
DOI : 10.1038/srep30776

Éditeur(s) : HAL CCSD Public Library of Science
Résumé : International audience
TIF1γ (Transcriptional Intermediary Factor 1 γ) has been implicated in Smad-dependent signaling by Transforming Growth Factor beta (TGF-β). Paradoxically, TIF1γ functions both as a transcriptional repressor or as an alternative transcription factor that promotes TGF-β signaling. Using ordinary differential-equation models, we have investigated the effect of TIF1γ on the dynamics of TGF-β signaling. An integrative model that includes the formation of transient TIF1γ-Smad2-Smad4 ternary complexes is the only one that can account for TGF-β signaling compatible with the different observations reported for TIF1γ. In addition, our model predicts that varying TIF1γ/Smad4 ratios play a critical role in the modulation of the transcriptional signal induced by TGF-β, especially for short stimulation times that mediate higher threshold responses. Chromatin immunoprecipitation analyses and quantification of the expression of TGF-β target genes as a function TIF1γ/Smad4 ratios fully validate this hypothesis. Our integrative model, which successfully unifies the seemingly opposite roles of TIF1γ, also reveals how changing TIF1γ/Smad4 ratios affect the cellular response to stimulation by TGF-β, accounting for a highly graded determination of cell fate.
ISSN: 1932-6203

hal-00851483
https://hal.archives-ouvertes.fr/hal-00851483
https://hal.archives-ouvertes.fr/hal-00851483/document
https://hal.archives-ouvertes.fr/hal-00851483/file/pone.0033761.pdf
DOI : 10.1371/journal.pone.0033761

Éditeur(s) : HAL CCSD BioMed Central
Résumé : International audience
BACKGROUND: The TGF-β transforming growth factor is the most pleiotropic cytokine controlling a broad range of cellular responses that include proliferation, differentiation and apoptosis. The context-dependent multifunctional nature of TGF-β is associated with complex signaling pathways. Differential models describe the dynamics of the TGF-β canonical pathway, but modeling the non-canonical networks constitutes a major challenge. Here, we propose a qualitative approach to explore all TGF-β-dependent signaling pathways. RESULTS: Using a new formalism, CADBIOM, which is based on guarded transitions and includes temporal parameters, we have built the first discrete model of TGF-β signaling networks by automatically integrating the 137 human signaling maps from the Pathway Interaction Database into a single unified dynamic model. Temporal property-checking analyses of 15934 trajectories that regulate 145 TGF-β target genes reveal the association of specific pathways with distinct biological processes. We identify 31 different combinations of TGF-β with other extracellular stimuli involved in non-canonical TGF-β pathways that regulate specific gene networks. Extensive analysis of gene expression data further demonstrates that genes sharing CADBIOM trajectories tend to be co-regulated. CONCLUSIONS: As applied here to TGF-β signaling, CADBIOM allows, for the first time, a full integration of highly complex signaling pathways into dynamic models that permit to explore cell responses to complex microenvironment stimuli.
ISSN: 1752-0509

inserm-00978313
http://www.hal.inserm.fr/inserm-00978313
http://www.hal.inserm.fr/inserm-00978313/document
http://www.hal.inserm.fr/inserm-00978313/file/1752-0509-8-30.pdf
DOI : 10.1186/1752-0509-8-30

Éditeur(s) : HAL CCSD Wiley
Résumé : Clay shale landscapes are sensitive to landslide, erosion, and re-sedimentation processes. In this context, tectonized clay shales have peculiar hydrological and mechanical behaviours. In order to improve our understanding of the processes involved in such systems, an experimental site has been settled in the Draix Observatory (ORE DRAIX) on a black marl hill slope of the Southern Alps (France) in the framework of the ECOU-PREF project. The site is a natural laboratory to study the evolution of clay shale landscapes at several scales (regional to µm). In this study, we aim to characterize the internal structure and fissure patterns of a stable interfluve, in order to locate preferential water flows within the system, and anticipate its evolution. This work is based on a series of mutli-disciplinary approaches including petrophysical analyses, well pulse injection tests and downhole geophysical measurements. Borehole geophysical results were combined with laboratory measurements on core plugs (permeability, density, porosity, and acoustic velocity). Optical and acoustical images have been used as an original tool for internal discontinuities characterisation and potential active flow path detection. They allowed the identification of three main lithological units interpreted as several stages of shale alteration. In addition, several main structural plane discontinuities (open fractures, schistosity planes, and fractures infilled with calcite or clays) were identified from the images and their potential transmissivity discussed with regard to piezometric and tracer measurements. In all, the integration of measurements leads to propose a simple scenario of fluid circulation and chemical alteration of the interfluve.
ISSN: 0885-6087

hal-00757581
https://hal.archives-ouvertes.fr/hal-00757581
DOI : 10.1002/hyp.7997

Éditeur(s) : HAL CCSD
Résumé : TNF-Related Apoptosis-Inducing Ligand (TRAIL) is a well-known apoptosis inducer, which activates the extrinsic death pathway. TRAIL is pro-apoptotic on colon cancer cells, while not cytotoxic towards normal healthy cells. However, its clinical use is limited by cell resistance to cell death which occurs in approximately 50% of cancer cells. Short Chain Fatty Acids (SCFA) are also known to specifically induce apoptosis of cancer cells. In accordance, we have shown that food grade dairy propionibacteria induce intrinsic apoptosis of colon cancer cells, via the production and release of SCFA (propionate and acetate) acting on mitochondria. Here, we investigated possible synergistic effect between Propionibacterium freudenreichii and TRAIL. Indeed, we hypothesized that acting on both extrinsic and intrinsic death pathways may exert a synergistic pro-apoptotic effect. Whole transcriptomic analysis demonstrated that propionibacterial supernatant or propionibacterial metabolites (propionate and acetate), in combination with TRAIL, increased pro-apoptotic gene expression (TRAIL-R2/DR5) and decreased anti-apoptotic gene expression (FLIP, XIAP) in HT29 human colon cancer cells. The revealed synergistic pro-apoptotic effect, depending on both death receptors (TRAIL-R1/DR4, TRAIL-R2/DR5) and caspases (caspase-8, -9 and -3) activation, was lethal on cancer cells but not on normal human intestinal epithelial cells (HIEC), and was inhibited by Bcl-2 expression. Finally, milk fermented by P. freudenreichii induced HT29 cells apoptosis and enhanced TRAIL cytotoxic activity, as did P. freudenreichii DMEM culture supernatants or its SCFA metabolites. These results open new perspectives for food grade P. freudenreichii-containing products in order to potentiate TRAIL-based cancer therapy in colorectal cancer.
4 . International Symposium on Propionibacteria and Bibfidobacteria
Cork, Ireland

hal-01372131
https://hal.archives-ouvertes.fr/hal-01372131
PRODINRA : 371605

Éditeur(s) : HAL CCSD
Résumé : Predicting, modelling and analysing the metabolism of xenobiotics, foreign substances to an organism, using computer methods, has been a major challenge for the scientific community for many years. This thesis aims to implement multiscale computing methods for predicting and analyzing the metabolism of xenobiotics. A first focus of this study was on the construction and de novo automatic annotation of metabolic graphs combining high sensitivity and precision. These graphs thus provide the prediction of the metabolism of xenobiotics in humans, as well as the genotoxicity of the molecules and atoms that make up xenobiotics. Then, the work focused on the implementation of a dynamic mathematical model modelling enzymatic competition effects through the development of a methodology allowing the exploitation of limited biological data while limiting inherent biases.
Prédire, modéliser et analyser le métabolisme de xénobiotiques, substances étrangères à un organisme, à l’aide de méthodes informatiques est un challenge majeur mobilisant la communauté scientifique depuis de nombreuses années. Cette thèse vise à implémenter des méthodes informatiques multi-échelles pour prédire et analyser le métabolisme des xénobiotiques. Un premier axe de cette étude portait sur la construction et l’annotation automatique de novo de graphes métaboliques combinant fortes sensibilités et précisions. Ces graphes fournissent ainsi la prédiction du métabolisme de xénobiotiques chez l’homme, ainsi que la génotoxicité des molécules et atomes qui le composent. Puis, le travail s’est orienté sur l’implémentation d’un modèle mathématique dynamique modélisant des effets de compétition enzymatique à travers le développement d’une méthodologie permettant l’exploitation de données biologiques restreintes tout en limitant les biais inhérents.
https://hal-univ-rennes1.archives-ouvertes.fr/tel-01659375

tel-01659375
https://hal-univ-rennes1.archives-ouvertes.fr/tel-01659375
https://hal-univ-rennes1.archives-ouvertes.fr/tel-01659375/document
https://hal-univ-rennes1.archives-ouvertes.fr/tel-01659375/file/these.pdf