We are beyond proud of our newest @NatureMedicine paper! Using pharmacoscopy & in-silico drug MoA discovery, we show that the antidepressant Vortioxietine is effective in #Glioblastoma primary patient material and in mouse models. https://t.co/MehHhQQOvR   #PersonalizedMedicine

Please welcome HT SpaceM, our new method for high-throughput small-molecule single-cell metabolomics: 👉Delafiori, Shahraz et al, BioRxiv https://t.co/9fkkhEtWwt 🧵👇

A single-cell ex vivo screening of repurposable drugs in #glioblastoma coupled with machine learning show that anti-tumour neuroactive drugs converge on the AP1-BTG pathway and identify the antidepressant vortioxetine as a potential therapeutic agent. https://t.co/JQEOa5iz8f

Congrats to @ssoeylee & @to123w for spearheading this work and thanks to all the collaborators from @NeuroOnco_USZ 🥳

Researchers at ETH Zurich have used a drug screening platform they developed to show that an #Antidepressant, currently on the market, kills #Tumour cells in the dreaded #Glioblastoma – at least in the cell-culture dish.

We are happy to announce that the PHRT-funded clinical study “RAPID 01”, which includes patients with acute myeloid leukemia (AML) is moving into the next phase: Soon, the first patient will be recruited. Read more about it here: https://t.co/CMaiHDHGj2

This beautiful image illustrates our new paper on 13C-SpaceM, a new method tracing metabolic activity in single cells in @NatMetabolism 😁 First, about the paper https://t.co/tiqTIWespA 📜:

🦓 This week: 'stripy' #Tcells! A recent @ScienceMagazine article from Dr. Ben Hale and a team in Dr. @BerendSnijder's lab suggests that T cell architecture is a key determinant of TCR signaling & #CellFate. @SnijderLab 📑: https://t.co/PW0OWEWVwL 🎤: https://t.co/Zqajx1YCcV

Researchers identify key differences in inner workings of immune cells: more than half of all killer T cells exhibit nuclear invaginations, or folds in the cell’s nuclear envelope. https://t.co/TkA9axzTbd

#Tweetorial for our paper in @ScienceMagazine It's still largely unknown how naïve T cells decide to become either effector or memory T cells during viral infection. We show that these decisions are built into the cellular architecture of our T cells. 1/9 https://t.co/yOQgVaPgot

Looking forward to talking about #StripyTcells and our recent @ScienceMagazine publication with @thalexandrov, his team, and you (if you want)! The talk is public, so feel free to join: https://t.co/7F6GEPa4BN Big thanks to Theodore & co. for the invitation!

Our findings suggest that #TCellArchitecture is a key determinant of TCR signaling & cell fate. This understanding could help predict & optimize T cell responses for better infection protection & disease treatment. Read the paper for more details!🔬 #Immunotherapy #Immunology 9/9

Furthermore, ex vivo #SingleCell fate tracking revealed that Tø cells form large colonies of effector-like T cells following activation. By contrast, cells with To architectures were slower to divide and gave rise to memory-like T cells. 8/9

T-arch subsets also display #functional differences.  Tø architectures exhibit stronger #TCRsignaling following activation with viral antigen,  in a mechanism dependent upon store-operated calcium entry. 💡⚡️ #LiveCellImaging 7/9

T-arch subsets relate to differentiation during a viral infection. Viral-specific T cells decrease in Tø & increase in Tp during the effector phase. This is followed by the re-establishment of a Tø-high population of viral-specific #MemoryCells 28 days after #infection🦠➡️🦠 6/9

These nuclear envelope invaginations, unique to Tø cells, spatially concentrate cellular machinery, including the endoplasmic reticulum, mitochondria, and nuclear pore complexes, forming subcellular organelle factories. 5/9

Using self-supervised #DeepLearning, we identified 3 visual #TCell classes: (1) polarized T cells (Tp) (2) spherical T cells without deep nuclear envelope invaginations ("conventional", To) (3) spherical T cells with deep nuclear envelope invaginations, or "stripy" (Tø) 🔬🤖4/9

Using high-throughput fluorescence #Microscopy and #DeepLearning, we discovered that T cell architectural heterogeneity (T-arch) predetermines TCR signal strength and differentiation trajectory upon antigen stimulation. 3/9

Viral-specific populations of naïve T cells differentiate into effector or memory T cells, providing us with long-term immunity. This differentiation is reproducible at the population level, yet how single naïve T cells decide their #CellFate is largely unknown🦠🔬#Immunology 2/9