2023
DOI: 10.1101/2023.09.25.557123
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Bmp9 regulates Notch signaling and the temporal dynamics of angiogenesis via Lunatic Fringe

Tommaso Ristori,
Raphael Thuret,
Erika Hooker
et al.

Abstract: SummaryIn briefThe mechanisms regulating the signaling pathways involved in angiogenesis are not fully known. Ristori et al. show that Lunatic Fringe (LFng) mediates the crosstalk between Bone Morphogenic Protein 9 (Bmp9) and Notch signaling, thereby regulating the endothelial cell behavior and temporal dynamics of their identity during sprouting angiogenesis.HighlightsBmp9 upregulates the expression of LFng in endothelial cells.LFng regulates the temporal dynamics of tip/stalk selection and rearrangement.LFng… Show more

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Cited by 3 publications
(2 citation statements)
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References 93 publications
(204 reference statements)
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“…Knowing that Alk1 -depleted HHT mouse models display hypersprouting and increased vascular density in their developing retinas [ 53 ], it is plausible that suppressed upregulation of LFNG by BMP9 in the presence of ALK1 -mutations might be contributing to this phenotype by mitigating Dll4 activation. Interestingly, during the submission of this work, a preprint by Ristori et al that also highlighted a crosstalk between BMP9 and LFNG in regulating Notch signaling was deposited in BioRxiv [ 54 ].…”
Section: Discussionmentioning
confidence: 99%
“…Knowing that Alk1 -depleted HHT mouse models display hypersprouting and increased vascular density in their developing retinas [ 53 ], it is plausible that suppressed upregulation of LFNG by BMP9 in the presence of ALK1 -mutations might be contributing to this phenotype by mitigating Dll4 activation. Interestingly, during the submission of this work, a preprint by Ristori et al that also highlighted a crosstalk between BMP9 and LFNG in regulating Notch signaling was deposited in BioRxiv [ 54 ].…”
Section: Discussionmentioning
confidence: 99%
“…The extracted data can be stitched together by label identification (59). This will inform computational models, including vertex models (37), but also the cellular Potts model (32,60) or agent-based models (61,62), which require a broad base of accurate quantitative data. Mechanistically, this will also help predict motion from static biomedical images, which is an interesting avenue for future research with a wide range of applications.…”
Section: Discussionmentioning
confidence: 99%