0000000000883754

AUTHOR

Emily Walker

showing 2 related works from this author

Polycomb-like 2 Associates with PRC2 and Regulates Transcriptional Networks during Mouse Embryonic Stem Cell Self-Renewal and Differentiation

2010

SummaryPolycomb group (PcG) proteins are conserved epigenetic transcriptional repressors that control numerous developmental gene expression programs and have recently been implicated in modulating embryonic stem cell (ESC) fate. We identified the PcG protein PCL2 (polycomb-like 2) in a genome-wide screen for regulators of self-renewal and pluripotency and predicted that it would play an important role in mouse ESC-fate determination. Using multiple biochemical strategies, we provide evidence that PCL2 is a Polycomb Repressive Complex 2 (PRC2)-associated protein in mouse ESCs. Knockdown of Pcl2 in ESCs resulted in heightened self-renewal characteristics, defects in differentiation, and alte…

Pluripotent Stem CellsCellular differentiationGene regulatory networkDown-RegulationPolycomb-Group Proteinsmacromolecular substancesMethylationBiochemistryArticleCell LineHistonesSelf-RenewalMice03 medical and health sciences0302 clinical medicineEmbryonic Stem CellHistone methylationPolycomb-group proteinsGeneticsAnimalsGene Regulatory NetworksEpigeneticsInduced pluripotent stem cellEmbryonic Stem Cells030304 developmental biologyGenetics0303 health sciencesbiologyurogenital systemGene Expression ProfilingPolycomb Repressive Complex 2Cell DifferentiationCell BiologyCellular ReprogrammingSTEMCELLPRC2Embryonic stem cellRepressor ProteinsOncologyDifferentiation030220 oncology & carcinogenesisembryonic structuresbiology.proteinMolecular MedicineTranscriptional NetworkPRC2Genome-Wide Association StudyProtein BindingCell Stem Cell
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Dynamiques de populations en milieu hétérogène : modèles et estimation de paramètres

2017

Prod 2017-344i SPE équipe EA GESTAD INRA; National audience; Cet exposé traite de (i) la modélisation de dynamiques de populations dans des paysages hétérogènes, (ii) la modélisation des paysages eux-mêmes, (iii) l'estimation des paramètres de ces modèles à partir de données d'abondance ou de données génétiques. Nous nous concentrerons sur deux grandes classes de modèles de dynamique des populations : les modèles individu-centrés basés sur des équations différentielles stochastiques, et les modèles de réaction-diffusion. Après une introduction du lien entre ces approches, 5 illustrations issues des projets sont présentées: - modélisation de paysages hétérogènes fragmentés, via l’outil MULTI…

[SDE] Environmental Sciencesmodelisation du paysage[SDV]Life Sciences [q-bio]modeles de reaction-diffusiondonnees genetiquesmodeles discrets/continus;[MATH] Mathematics [math][INFO] Computer Science [cs][SDV] Life Sciences [q-bio]equations aux derivees partiellesmodeles 2d/1d[SDE]Environmental Sciences[SDV.BV]Life Sciences [q-bio]/Vegetal Biology[SDV.BV] Life Sciences [q-bio]/Vegetal Biologyapproches mecanisticostatistiques[INFO]Computer Science [cs]equations differentielles stochastiques[MATH]Mathematics [math]
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