🚨Thrilled to share our latest work: “Tumor-Infiltrating Clonal Hematopoiesis” @NEJM - we investigated how age-related blood mutations impact cancer when they infiltrate tumors, with @Elsa2Bernard Maria Zagorulya, @PapaemmanuilLab@CharlesSwanton + more
https://t.co/PYUKWzSxV2
🚨 Paper out in Nature 🚨
Amazing news from the Trumpp Lab @HI_STEM_lab performed by Vera Thiel @VT199104, Simon Renders @SimonRenders and Jasper Panten! Discover how tumors interact with nerve cells! 👇👇👇 https://t.co/jnk57hMjkL #CancerResearch#Neuroscience
After 4y in the making, I am super excited that my main PhD project is published 🎉🥳🎉🎉🥳
https://t.co/LCL2Dj1SOK
LEMUR is a tool to analyze multi-condition single-cell data and model differential expression as a continuous function of the cell-state space.
Some highlights⬇️
I'm very thankful to everyone involved in the study! The project would not have been possible without my co-firsts @KfdG_1236 and @hyobin_jeong and co-lasts Andreas Trumpp, @JanKorbel5 and @ash_d_sanders 🍾🎉🥳 5/5
Extremely proud to see my PhD project exploring intra-tumor heterogeneity in complex karyotype AML finally out in @NatureGenet ! 🎉👩🏻🔬
They say that 10,000 hours make you an expert, so I guess after more than five years of work I’m half-way there 😅 ⬇️1/5
https://t.co/xe0WrtSRse
In another patient with paired pre- and post-treatment samples, two distinct subclones persisted post venetoclax-based treatment. Both had subclone-specific mechanisms to further resistance: a shift toward MEP-like cells and NF1 loss. Go and read more about the other cases! 📜4/5
There's a lot of excitement about foundation models and their ability to learn biology 🧬💻
But current tools for perturbation prediction perform worse than simple linear models! We need more careful benchmarking to make progress.
https://t.co/lTJM7ghk2r
Interested in the "Arms-Race" against therapy resistance in Acute Myeloid Leukemia? Read our perspective just published in molecular oncology.
https://t.co/hQDHit9Xgl
@hi_stem_lab@amleppa@SimonRenders
Just uploaded a new version of the LEMUR manuscript
https://t.co/6cFvXqQfZ6 🎉🥳
LEMUR disentangles observed and latent factors of multi-condition single-cell data and finds groups of cells with consistent differential expression for each gene.
Details on the changes ⬇️
Excited to announce: International Heidelberg Symposium on Stem Cells and Cancer on Sep 10-12, 2023 @DKFZ. Worldwide opinion leaders present latest data on cancer stem cells, tumor heterogeneity, therapy resistance & more! Registration for FREE @ https://t.co/JXqNxHtVsr. #SCC2023
Incredibly proud to see our benchmark of single-cell preprocessing methods finally published 🥳🥳🎉
We show that despite its theoretical limitations, no other transformation consistently outperforms log(y/s+1).
All details at https://t.co/0caikoVmBa and https://t.co/X61ICd6sao