3 Papers
28 Citations
M-P Junier is an academic researcher from French Institute of Health and Medical Research. The author has contributed to research in topics: Progenitor cell & Astrocyte. The author has an hindex of 3, co-authored 3 publications. Previous affiliations of M-P Junier include University of Paris.
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Papers
Transforming growth factor alpha promotes sequential conversion of mature astrocytes into neural progenitors and stem cells.
Ariane Sharif,Ariane Sharif,P. Legendre,Vincent Prevot,Cecile Allet,L. Romao,L. Romao,L. Romao,J.-M. Studler,J.-M. Studler,Hervé Chneiweiss,Hervé Chneiweiss,M-P Junier,M-P Junier +13 more
TL;DR: A novel population of mature astrocytes capable, in response to a single epigenetic factor, to regress progressively into a neural stem-like cell stage via an intermediate progenitor stage is uncovered.
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Transforming growth factor alpha acts as a gliatrophin for mouse and human astrocytes.
Ariane Sharif,Vincent Prevot,Francois Renault-Mihara,Francois Renault-Mihara,Cecile Allet,J-M Studler,J-M Studler,B Canton,B Canton,Hervé Chneiweiss,Hervé Chneiweiss,M-P Junier,M-P Junier +12 more
TL;DR: Results demonstrate that in normal, non-transformed astrocytes, sustained and functional erbBs activation is achieved without bypassing ligand-induced receptors downregulation, defining TGFα as a gliatrophin for mammalian astroCytes.
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DOCK4 promotes loss of proliferation in glioblastoma progenitor cells through nuclear beta-catenin accumulation and subsequent miR-302-367 cluster expression.
David Debruyne,David Debruyne,Laurent Turchi,Fanny Burel-Vandenbos,Mohamed Fareh,Mohamed Fareh,Fabien Almairac,Virginie Virolle,Virginie Virolle,Dominique Figarella-Branger,Dominique Figarella-Branger,Nathalie Baeza-Kallee,Nathalie Baeza-Kallee,P Lagadec,P Lagadec,V Kubiniek,Philippe Paquis,Denys Fontaine,M-P Junier,Hervé Chneiweiss,Thierry Virolle,Thierry Virolle +21 more
TL;DR: An unexpected anti-proliferative role of beta-catenin in non-mitotic differentiated GBM cells is reported and increased level of DOCK4 predicts improved patient survival.