Éditeur(s) : HAL CCSD Elsevier
Résumé : International audience
According to the World Health Organization, around 20% of all cancers would be due to environmental factors. Among these factors, several chemicals are indeed well recognized carcinogens. The widespread contaminant benzo[a]pyrene (B[a]P), an often used model carcinogen of the polycyclic aromatic hydrocarbons' family, has been suggested to target most, if not all, cancer hallmarks described by Hanahan and Weinberg. It is classified as a group I carcinogen by the International Agency for Research on Cancer; however, the precise intracellular mechanisms underlying its carcinogenic properties remain yet to be thoroughly defined. Recently, the pH homeostasis, a well known regulator of carcinogenic processes, was suggested to be a key actor in both cell death and Warburg-like metabolic reprogramming induced upon B[a]P exposure. The present review will highlight those data with the aim of favoring research on the role of H + dynamics in environmental carcinogenesis.
ISSN: 1044-579X

hal-01531077
https://hal-univ-rennes1.archives-ouvertes.fr/hal-01531077
https://hal-univ-rennes1.archives-ouvertes.fr/hal-01531077/document
https://hal-univ-rennes1.archives-ouvertes.fr/hal-01531077/file/Hardonniere%20et%20al.%20-%20Environmental%20carcinogenesis%20and%20pH%20homeostasis%20n.pdf
DOI : 10.1016/j.semcancer.2017.01.001

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