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🦋 Hi friends, you'll find me elsewhere, where the sky is bluer: bsky.app/profile/adlung…
One thing we know, another thing we can't avoid: Infection and aging partially converge in spatial transcriptomics data of mice. Great work by our good friend and esteemed colleauge @fabiankern13 👏 biorxiv.org/content/10.110…
Great piece by @_bunnech et al. on optimal transport for single cell and spatial omics. Really curious about practical implications in the future: nature.com/articles/s4358…
nature.com
Optimal transport for single-cell and spatial omics
Nature Reviews Methods Primers - The optimal transport mathematical framework can be used to describe how source populations, such as populations of single cells, can morph into another target...
We are looking for exceptional MSc and PhD students! 👩🔬🧪🔬🧑🔬🧫💩 If you're interested in exploring the interface between gastrointestinal tract immunity and the microbiota in various diseases and combining basic science with NGS in the best environment possible - send me a DM
I'm honoured to be awarded the Dr. Liselotte-Brauns Research Prize for Internal Medicine this year. Great feedback for my project ideas, can't wait to put them to the test 🤓 stiftung-drbrauns.de stiftung-drbrauns.de/die-preistraeg…
I like this concept of intestinal tuft cells: weep, sweep … secrete - @NatRevImmunol nature.com/articles/s4157…
Game changer alert!!! 🧫 🦠 Discovery of antimicrobial peptides in the global microbiome with machine learning: Cell cell.com/cell/fulltext/…
Great work in @NatureCancer on how to utilise single-cell data to predict cancer patients' response to different drugs. I see wide applicability even beyond tumours! nature.com/articles/s4301…
nature.com
PERCEPTION predicts patient response and resistance to treatment using single-cell transcriptomics...
Nature Cancer - Sinha and colleagues present PERCEPTION, a precision oncology computational pipeline that can predict the response and resistance of patients by analyzing single-cell transcriptomic...
Hamburg news: The @krebs_lab and collaborators used iCROP-seq to identify TH17 cell plasticity as a potential new therapeutic target in autoimmunity. @HCKH_Hamburg @UKEHamburg @unihh science.org/doi/10.1126/sc…
You knock out enteroendocrine cells from the small intestine and your metabolism goes berserk! nature.com/articles/s4225…
Wonderful conceptual work. Must-read if you seek inspiration on modelling!
Correlation is not causation. In our new perspective, we connect systems biology, causal reasoning, and machine learning to inform future approaches in systems biology and molecular medicine in the wake of current deep learning advances: doi.org/10.1038/s44320… 🧵👇
Slowly, I gain a better and better understanding why bile acids should be closer to my heart (in a metaphorical way only!) @natmetabolism nature.com/articles/s4225…
Beautiful paper from the @AdlungLab :) the first one out of many! Congrats!!!!
What do we need to understand inflammatory bowel disease (🔥) besides single-cell data and machine learning? ... ⏰ 🥁 Here comes the first paper from the group, out now @Nature_NPJ: nature.com/articles/s4154… 🧵
nature.com
Longitudinal single-cell data informs deterministic modelling of inflammatory bowel disease
npj Systems Biology and Applications - Longitudinal single-cell data informs deterministic modelling of inflammatory bowel disease
If you want to learn more about ODE-based modeling of longitudinal single-cell data to gain a better understanding of immune dynamics check out @AdlungLab s most recent paper doi.org/10.1038/s41540…
nature.com
Longitudinal single-cell data informs deterministic modelling of inflammatory bowel disease
npj Systems Biology and Applications - Longitudinal single-cell data informs deterministic modelling of inflammatory bowel disease
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