
Paolo Armando Gagliardi
@paoloarmando83
Postdoc in the Cellular Dynamics Lab at the University of Bern. I'm studying signalling dynamics in the context of epithelial homeostasis.
ID: 4635285502
https://www.researchgate.net/profile/Paolo_Gagliardi 28-12-2015 19:10:19
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A step-by-step tutorial for detecting collective phenomena in time-lapse images in a new #OpenAccess article in Methods in Microscopy from De Gruyter Brill ➡️ @degruyterbrill.bsky.social Benjamin Grädel Paolo Armando Gagliardi PertzLab, doi.org/10.1515/mim-20…


Ever wondered how stem cells ensure a balance between cell fates in the gut?⚖️Turns out, they’ve got rhythm!🎶Our latest research reveals that NOTCH-driven oscillations regulate stem/progenitor cell abundance and specify secretory subtypes. Check it out: biorxiv.org/content/10.110…


Happy to share this work from my postdoc where it's illustrated how breadth and depth 3D-cancer models contribute to successful translation of drug discovery efforts to the clinic. Proud of being part of this team! Istituto di Candiolo - FPO IRCCS Fondazione Piemontese per la Ricerca sul Cancro nature.com/articles/s4146…



Super cool work of David Gonzalez-Martinez and Lukasz Bugaj, showing the role of EML4-ALK assemblies in MAPK/ERK signaling, and the potential of targeting apoptotic ERK waves in combination with ALK inhibition


Our work on FGF/ERK signaling in 2D gastruloids is now published as a reviewed preprint in Elife (revisions to come) doi.org/10.7554/eLife.… eLife - the journal

Glad to share our last manuscript on a luminescent sensor we created to unveil novel potentially actionable regulators of β1 integrin activation in vascular endothelial cells and angiogenesis. Great collab w/ Jieqing Zhu Lab Versiti Blood Research Institute Sara Zanivan doi.org/10.1016/j.celr…




🧠Recently published in Bioinformatics Advances: "A Kolmogorov metric embedding for live cell microscopy signaling patterns"   Read more here: doi.org/10.1093/bioadv… Authors include: Layton Aho Paolo Armando Gagliardi





Superb article from Abhineet Ram and John Albeck demonstrating that single-cell ERK history can be reconstructed by end-point measurements!


