Bruno Larrivee, Ph.D.
Affiliations: | 2005 | University of British Columbia, Vancouver, Vancouver, BC, Canada |
Area:
Cell BiologyGoogle:
"Bruno Larrivee"Parents
Sign in to add mentor| Aly Karsan | grad student | 2005 | UBC | |
| (Effects of VEGFR -2 signalling in post-natal hematopoiesis and vasculogenesis.) | ||||
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Publications
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| Ristori T, Thuret R, Hooker E, et al. (2023) Bmp9 regulates Notch signaling and the temporal dynamics of angiogenesis via Lunatic Fringe. Biorxiv : the Preprint Server For Biology |
| Drapé E, Anquetil T, Larrivée B, et al. (2022) Brain arteriovenous malformation in hereditary hemorrhagic telangiectasia: Recent advances in cellular and molecular mechanisms. Frontiers in Human Neuroscience. 16: 1006115 |
| Gil CL, Hooker E, Larrivée B. (2021) Diabetic Kidney Disease, Endothelial Damage, and Podocyte-Endothelial Crosstalk. Kidney Medicine. 3: 105-115 |
| Popovic N, Hooker E, Barabino A, et al. (2021) COCO/DAND5 inhibits developmental and pathological ocular angiogenesis. Embo Molecular Medicine. 13: e12005 |
| Viallard C, Audiger C, Popovic N, et al. (2020) BMP9 signaling promotes the normalization of tumor blood vessels. Oncogene |
| Fournier P, Viallard C, Dejda A, et al. (2019) The protein tyrosine phosphatase PTPRJ/DEP-1 contributes to the regulation of the Notch-signaling pathway and sprouting angiogenesis. Angiogenesis |
| Miloudi K, Oubaha M, Ménard C, et al. (2019) NOTCH1 signaling induces pathological vascular permeability in diabetic retinopathy. Proceedings of the National Academy of Sciences of the United States of America |
| Akla N, Viallard C, Popovic N, et al. (2019) AB039. BMP9 signaling maintains endothelial integrity and prevents hyperglycemia-induced retinal vascular permeability Annals of Eye Science. 4: AB039-AB039 |
| Akla N, Viallard C, Popovic N, et al. (2018) BMP (Bone Morphogenetic Protein) 9/Alk1 (Activin-Like Kinase Receptor Type I) Signaling Prevents Hyperglycemia-Induced Vascular Permeability. Arteriosclerosis, Thrombosis, and Vascular Biology |
| Mazzaferri J, Larrivée B, Cakir B, et al. (2018) A machine learning approach for automated assessment of retinal vasculature in the oxygen induced retinopathy model. Scientific Reports. 8: 3916 |