Chez la souris, le Leukemia Inhibitory Factor (LIF) joue un rôle clé dans le maintien des cellules souches embryonnaires (ES) à l’état pluripotent. Le LIF agit en activant le facteur de transcription STAT3 via les kinases Jak. Cette activation est nécessaire et suffisante au maintien des cellules ES en autorenouvellement en présence de sérum. Une étude du transcriptome de STAT3 réalisée au laboratoire a permis d’identifier plusieurs gènes cibles de ce facteur, parmi lesquels plusieurs gènes inconnus. L’un d’eux, le gène 1456160_at, est fortement exprimé dans les cellules ES de souris et son expression diminue après induction de la différenciation. Ce gène a été appelé Asgard pour Another Self-renewal GuARDian. La caractérisation et le séquençage de ce gène ont permis de mettre en évidence qu'Asgard code pour un microARN. De nombreux microARNs jouent un rôle clé dans le maintien de l'autorenouvellement des cellules ES et dans le contrôle de la différenciation. Des expériences d’inhibition et de surexpression ont permis de montrer que Asgard est impliqué dans la régulation de la différenciation endoderme versus mésoderme. Des analyses préliminaires ont permis d’identifier Pbx3, FoxA2 et Sox17 comme cibles potentielles. Bien que les mécanismes d’action du microARN Asgard restent à confirmer, ce travail a permis d’identifier un nouveau gène clé de l'autorenouvellement des cellules ES de souris / The Leukemia Inhibitory Factor (LIF) activates the transcription factor STAT3, which results in the maintenance of mouse embryonic stem cells in the undifferentiated state by inhibiting mesodermal and endodermal differentiation. We identified several target genes of STAT3 by transcriptomic analysis. Among them, we focused on an unknown gene referred as 1456160_at on Affymetrix array. This gene is highly expressed in embryonic stem cells and its expression level decreases during differentiation. We named this gene Asgard for Another Self-renewal GuARDian. Its characterization and sequencing revealed that Asgard encodes for a microRNA sequence. Several microRNAs have been shown to play key role in the maintenance of self-renewal of mouse ES cells and in the control of differentiation. Inhibition and overexpression assays showed that Asgard inhibits endodermal differentiation in order to maintain self-renewal. Through preliminary analysis, we identified Pbx3, FoxA2 and Sox17 as potential targets of the microRNA Asgard. Our work enables us to identify a new key gene of self-renewal of mouse ES cells

The decreasing costs of next generation sequencing technologies and the increasing speeds at which they work have lead to an abundance of 'omic datasets. The need for tools and methods to analyze, annotate, and model these datasets to better understand biological systems is growing. Here we present a novel software pipeline to reconstruct the metabolic model of an organism in silico starting from its genome sequence and a novel compilation of biological databases to better serve the generation of metabolic models. We validate these methods using five Gardnerella vaginalis strains and compare the gene annotation results to NCBI and the FBA results to Model SEED models. We found that our gene annotations were larger and highly similar in terms of function and gene types to the gene annotations downloaded from NCBI. Further, we found that our FBA models required a minimal addition of transport reactions, sources, and escapes indicating that our draft pathway models were very complete. We also found that on average our solutions contained more reactions than the models obtained from Model SEED due to a large amount of baseline reactions and gene products found in ASGARD.