@amleppa

Current | Postdoc at Francis Crick Institute at @SwantonLab ••• Previous | PhD at DKFZ with Andreas Trumpp @hi_stem_lab

Joined April 2022
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Aino-Maija Leppä retweeted
Oriol Pich@oriol_pich24 Apr 2025
🚨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 nejm.org/doi/full/10.1056/NE…

Tumor-Infiltrating Clonal Hematopoiesis | NEJM

Clonal hematopoiesis of indeterminate potential (CHIP) is an age-related condition associated with increased mortality among patients with cancer. CHIP mutations with high variant-allele frequencie...

nejm.org
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🚨 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! 👇👇👇  nature.com/articles/s41586-0… #CancerResearch #Neuroscience
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After 4y in the making, I am super excited that my main PhD project is published 🎉🥳🎉🎉🥳 nature.com/articles/s41588-0… 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⬇️
Overview of the LEMUR steps: (1) subspace alignment, (2) differential expression, (3) DE neighborhoods, (4) pseudobulking.

ALT Overview of the LEMUR steps: (1) subspace alignment, (2) differential expression, (3) DE neighborhoods, (4) pseudobulking.

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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 nature.com/articles/s41588-0…

Single-cell multiomics analysis reveals dynamic clonal evolution and targetable phenotypes in acute...

Nature Genetics - An integrated single-cell multiomic analysis of complex karyotype acute myeloid leukemia characterizes intratumoral heterogeneity and highlights links to therapeutic sensitivities.

nature.com
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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
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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
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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. biorxiv.org/content/10.1101/…
Beeswarm plot of the double perturbation predictions. The Additive model outperforms GEARS, scGPT, and scFoundation by a large margin

ALT Beeswarm plot of the double perturbation predictions. The Additive model outperforms GEARS, scGPT, and scFoundation by a large margin

Line plot of the accuracy of the predictions that are most different from the additive model. The No Change model outperforms GEARS, scGPT, and scFoundation.

ALT Line plot of the accuracy of the predictions that are most different from the additive model. The No Change model outperforms GEARS, scGPT, and scFoundation.

Beeswarm plot of the single perturbation predictions. The linear model perform as good as GEARS, scGPT, and scFoundation.

ALT Beeswarm plot of the single perturbation predictions. The linear model perform as good as GEARS, scGPT, and scFoundation.

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Interested in the "Arms-Race" against therapy resistance in Acute Myeloid Leukemia? Read our perspective just published in molecular oncology. febs.onlinelibrary.wiley.com… @hi_stem_lab @amleppa @SimonRenders
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Just uploaded a new version of the LEMUR manuscript biorxiv.org/content/10.1101/… 🎉🥳 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 ⬇️
Step-by-step workflow of LEMUR

ALT Step-by-step workflow of LEMUR

Screenshot of figure 2 from the manuscript showing the differential expression pattern of HIST3H2A

ALT Screenshot of figure 2 from the manuscript showing the differential expression pattern of HIST3H2A

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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 @ stem-cells-cancer.de. #SCC2023
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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 nature.com/articles/s41592-0… and github.com/const-ae/transfor…
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Thrilled to share some of the exciting results from my PhD from an amazing collaboration with @AlexWaclawiczek @SimonRenders at Trumpp Lab @hi_stem_lab 🎉🎉
HI-STEM - Cancer and Stem Cells in Heidelberg@hi_stem_lab10 Mar 2023
Trumpp lab @DKFZ is thrilled to announce our latest story in @CD_AACR Amazing collab between @AlexWaclawiczek, @amleppa + @SimonRenders combining basic + clinical research with Tim Sauer and @LabTidow. #AML #Venetoclax #PrecisionMedicine #LeukemiaStemCell (1/12)
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