Hypoxia affects the development and/or progression of several retinopathies. Decidual protein induced by progesterone (DEPP) has been identified as a hypoxia-responsive gene that may be part of cellular pathways such as autophagy and connected to retinal diseases. To increase our understanding of DEPP regulation in the eye, we defined its expression pattern in mouse and human retina and retinal pigment epithelium (RPE). Interestingly, DEPP expression was increased in an age-dependent way in the central human RPE. We showed that DEPP was regulated by hypoxia in the mouse retina and eyecup and that this regulation was controlled by hypoxia-inducible transcription factors 1 and 2 (HIF1 and HIF2). Furthermore, we identified three hypoxia response elements (HREs) about 3.5 kb proximal to the transcriptional start site that were responsible for hypoxic induction of DEPP in a human RPE cell line. Comparative genomics analysis suggested that one of the three HREs resides in a highly conserved genomic region. Collectively, we defined the molecular elements controlling hypoxic induction of DEPP in an RPE cell line, and provided evidence for an enrichment of DEPP in the aged RPE of human donors. This makes DEPP an interesting gene to study with respect to aging and age-related retinal pathologies.

The hypoxia-inducible factor 1 (HIF-1) was initially identified as a transcription factor that regulated erythropoietin gene expression in response to a decrease in oxygen availability in kidney tissue. Subsequently, a family of oxygen-dependent protein hydroxylases was found to regulate the abundance and activity of three oxygen-sensitive HIFalpha subunits, which, as part of the HIF heterodimer, regulated the transcription of at least 70 different effector genes. In addition to responding to a decrease in tissue oxygenation, HIF is proactively induced, even under normoxic conditions, in response to stimuli that lead to cell growth, ultimately leading to higher oxygen consumption. The growing cell thus profits from an anticipatory increase in HIF-dependent target gene expression. Growth stimuli-activated signaling pathways that influence the abundance and activity of HIFs include pathways in which kinases are activated and pathways in which reactive oxygen species are liberated. These pathways signal to the HIF protein hydroxylases, as well as to HIF itself, by means of covalent or redox modifications and protein-protein interactions. The final point of integration of all of these pathways is the hypoxia-response element (HRE) of effector genes. Here, we provide comprehensive compilations of the known growth stimuli that promote increases in HIF abundance, of protein-protein interactions involving HIF, and of the known HIF effector genes. The consensus HRE derived from a comparison of the HREs of these HIF effectors will be useful for identification of novel HIF target genes, design of oxygen-regulated gene therapy, and prediction of effects of future drugs targeting the HIF system.

Hypoxia-inducible factor-1 (HIF-1) is a heterodimeric transcription factor activated by hypoxia. When activated, HIF-1 mediates the differential expression of genes such as erythropoietin and Vascular Endothelial Growth Factor (VEGF) during hypoxia. It is composed of two different subunits, HIF-1alpha and ARNT (Aryl Receptor Nuclear Translocator). These two subunits belong to the bHLH (basic Helix-Loop-Helix) PAS (Per, Ahr/ARNT, Sim) family. The bHLH domain of these factors is responsible for dimerization through the two helices and for DNA binding through their basic domain. In this work, we used various methods of molecular modeling in order to develop a 3D structure for the HIF-1 bHLH domain bound to its DNA consensus sequence. Firstly, the 3D structure of the bHLH domain of both subunits based on their amino acid sequence was defined. Secondly, we compared this model with data from known crystal structures of basic leucine zipper-DNA and bHLH-DNA complexes in order to determine a potential canvas for HIF-1. Thirdly, we performed a manual approach of the HIF-1 bHLH domain onto the DNA recognition site using this canvas. Finally, the protein-DNA complex 3D structure was optimized using a Monte Carlo program called MONTY. The model predicted a pattern of interactions between amino acids and DNA bases which reflect for ARNT what is experimentally observed among different X-ray structures of other bHLH transcription factors possessing the H (His), E (Glu), R (Arg) triad, as ARNT does. On the other hand, only the Arg residue is conserved in HIF- 1alpha. We propose from this model that a serine replaces the histidine while an alanine and a lysine also make contacts with DNA. From these results, we postulate that the specificity of HIF-1 toward its DNA sequence could be driven by the HIF-1alpha subunit. The predicted model will be verified by X-Ray currently ongoing.