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Excited to share our latest paper @NatureMethods

We present a high-throughput framework to map cellular interactions at ultra-high scale – broadly applicable from whole-organism immune response mapping to personalized therapy response prediction (1/4).
nature.com/articles/s4159…
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1/4 🧬 New preprint from the lab!
Can future clinical trajectories in AML already be read at diagnosis?
We assembled single-cell multi-omics data from 184 AML patients across all known subtypes, linked to deep clinical outcome data. 🧵
biorxiv.org/content/10.648…
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Replying to @haas_lab
3/4 We also establish a new AML classification based on leukemic stem and progenitor cell states, extending current classification systems.
Together, the results show how features across biological scales combine to shape future clinical trajectories.
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4/4 Fantastic work by first authors Jan Barinka, Sarah Gräßle & Magdalena Pajonk, with Simon Raffel, Lars Velten, and many clinical & scientific collaborators.
A huge collaborative effort — very happy to finally share it!
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In our new study @NatureCellBio, we identify stem cell kinetics and cellular competition as key principles underlying blood stem cell diversity. Fun collab. @MilsomMick @FloGrunschlager @Esther_RCorrea, Tamar Nizharadze,Thomas Höfer,Daniel Hübschmann (1/6) nature.com/articles/s4155…
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Huge thanks to the fantastic interdisciplinary collaboration across the @MilsomMick , Hübschmann & Höfer labs — and especially @FloGrunschlager , @Esther_RCorrea & Tamar Nizharadze for driving this work forward! 🧬 @DKFZ , @BIH_Innovation , @MDC_Berlin @QMUL (6/6)
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@MilsomMick @FloGrunschlager @Esther_RCorrea @DKFZ @BIH_Innovation @MDC_Berlin @QMUL Another big thank to the many collaborators, including the labs of Andreas Trumpp, @AlejoFraticelli @zauggj @MikutRalf
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Haas Lab retweeted
How do lineage-biased HSC states relate to each other? check out: rdcu.be/fkASJ in @NatureCellBio
Collab with @haas_lab @ChariteBerlin BIH & MDC; Thomas Höfer & Daniel Hübschmann @DKFZ @NCT_HD @hi_stem_lab
1st authors @Esther_RCorrea @FloGrunschlager & Tamar Nizharadze
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So happy to see this finally out in @NatureCellBio! Co-led with @FloGrunschlager and Tamar Nizharadze, we show how lineage-biased HSC states are organized, how self-renewal divisions can shift HSC states, and how strongly these lineage biases are shaped by extrinsic demands.
How do lineage-biased HSC states relate to each other? check out: rdcu.be/fkASJ in @NatureCellBio
Collab with @haas_lab @ChariteBerlin BIH & MDC; Thomas Höfer & Daniel Hübschmann @DKFZ @NCT_HD @hi_stem_lab
1st authors @Esther_RCorrea @FloGrunschlager & Tamar Nizharadze
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Principles of lymph node organization reveal lymphoma-induced reprogramming of stroma-derived chemokine networks and loss of tissue organization in nodal B cell lymphoma @NatureCancer @AnnaMathioudak1 @DKFZ @JoppSaile @zauggj @haas_lab
nature.com/articles/s4301…
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Replying to @KorMichi
This work was a joint project led by Antonia Busse @KroenkeLab @haas_lab and @lab_keller.
tinyurl.com/4rxnf2f5
#CIDP #CART #Myeloma
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Haas Lab retweeted
Breaking news!
The Erasmus Hematology Lectures start again on September 1 with Marc Dawson. As Marc presents from Australia this lecture will be at 1pm CEST!
All other lecture will be at 4PM CEST!
Check out the complete list of speakers for 2025!
Enjoy and share the news!
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A cost-effective ultra-high-throughput cytometry-based framework for the detection of physical interactions between cells, along with the characterization of complex cellular landscapes @naturemethods
nature.com/articles/s4159…
nature.com/articles/s4159…
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Haas Lab retweeted
Interact-omics is a high-throughput cytometry-based framework for cellular interaction mapping. @haas_lab

nature.com/articles/s4159…
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Ein Team aus Forschenden vom BIH, @MDC_Berlin, DKFZ, @hi_stem_lab & @QMUL hat eine Technologie zur Entschlüsselung der Immunzell-Kommunikation entwickelt. Damit lässt sich u.a. ablesen, warum Immuntherapien bei manchen Menschen wirken u. bei anderen nicht.
t1p.de/w3v16
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@IdoAmitLab We demonstrated its applicability to:
· Track CAR-T & bispecific Ab dynamics
· Predict immunotherapy responses
· Map organ-wide immune cell networks post-viral infection
· Uncover pathogenic interactions in human disease phenotypes
(3/4)
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@IdoAmitLab Huge shout-out to the incredible first authors Dominik Vonficht, Lea Jopp-Saile, Schayan Yousefian, Viktoria Flore & all other collaborators, esp. Daniel Hübschmann!
Grateful to BIH, @MDC_Berlin, @ChariteBerlin, @QMUL, HI-STEM, @DKFZ
@ERC_Research for the support.
(4/4)
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