LashuelNeuroLab

Exciting news from the @LashuelLab @epflSV ! Introducing ClearTau, an innovative method and platform for reconstructing aggregates of the protein #Tau found in #Alzheimer's and other neurodegenerative diseases. actu.epfl.ch/news/cleartau-… #epfl

Scientists at EPFL @LashuelLab have discovered a new mechanism that explains how proteins clump together and become sticky. This is one of the causes of neurological diseases such as Lou Gehrig's disease. - via @xpress_medical  medicalxpress.com/news/2023-06-h…

Read the news coverage on our latest TDP-43 paper @EPFL_SPS @EPFL @epflSV actu.epfl.ch/news/how-a-hig…

Seeding the aggregation of TDP-43 requires post-fibrillization proteolytic cleavage #ALS New @hlashuel @lashuelLab @SenThangaraj nature.com/articles/s4159…

Parkinson’s and neurodegeneration stand @Hlashuel #PortesOuvertesEPFL

Les scientifiques travaillent à améliorer notre compréhension des mécanismes qui régissent le climat de la Terre. Ne manquez pas les conférences du dimanche sur les enjeux climatiques lors des #PortesOuvertesEPFL go.epfl.ch/254096

It’s all about perspective at #PortesOuvertesEPFL

Second day of #PortesOuvertesEPFL! Come visit our booth @epflSV Take a journey from how it feels to have Parkinson's tremor, to what we study in cells, and zoom into protein models 🧠 And try to write a protocol to make Nutella sandwich (spoiler: not as easy as it sounds! 🤯)

A word from the Dean of the School of Life Sciences, Andy Oates @OatesLab

Finally able to share our latest work, just published! doi.org/10.1016/j.nbd.… We found a novel #caspase -2 cleavage site in #tau protein, and show that casp2 also processes D421. 1/3

Pas encore de programme pour ce weekend? ➡️ Portes Ouvertes EPFL! 🔬 Plus de 200 activités 🎙️ Des speakers, avec notamment @FredCourant de l'@EspritSorcier 🎪 Des stands, spectacles, jeux, expositions, conférences et ateliers Toutes les infos sur portes-ouvertes.epfl.ch

Excited to share our preprint, where we overcome the alterations caused by fluorescent labeling. We utilize deep learning to identify and analyze live, unperturbed protein aggregates from transmitted light images with 96% accuracy. biorxiv.org/content/10.110…