Anna Mathioudaki
@annamath.bsky.social
Postdoc @DKFZ in the Gerstung group
Previously PhD student @EMBL in the Zaugg group
Exploring the recurrence of cell states across various cancers using spatial and single-cell omics 🧠 🩸
Previously PhD student @EMBL in the Zaugg group
Exploring the recurrence of cell states across various cancers using spatial and single-cell omics 🧠 🩸
Progressive glioblastoma or radiation-induced necrosis? 🧠
Hard to tell on MRI - but spatial transcriptomics tells a different story!
Check out @zaira-sef.bsky.social's preprint for more!
Hard to tell on MRI - but spatial transcriptomics tells a different story!
Check out @zaira-sef.bsky.social's preprint for more!
🚨 new glioblastoma preprint alert!
we present the first spatially resolved single cell atlas comparing radionecrotic changes (RN) and recurrent IDH-wildtype glioblastoma (GB) –– shedding light on a long-standing diagnostic challenge.
🧵 1/
we present the first spatially resolved single cell atlas comparing radionecrotic changes (RN) and recurrent IDH-wildtype glioblastoma (GB) –– shedding light on a long-standing diagnostic challenge.
🧵 1/
October 6, 2025 at 4:47 PM
Progressive glioblastoma or radiation-induced necrosis? 🧠
Hard to tell on MRI - but spatial transcriptomics tells a different story!
Check out @zaira-sef.bsky.social's preprint for more!
Hard to tell on MRI - but spatial transcriptomics tells a different story!
Check out @zaira-sef.bsky.social's preprint for more!
Reposted by Anna Mathioudaki
What if you could get a glimpse of the future of your health, today?
Our scientists have developed a new generative AI model, trained using large-scale health records, that can estimate how human health may change over time.
Watch to find out more.
🖥️🧬
Our scientists have developed a new generative AI model, trained using large-scale health records, that can estimate how human health may change over time.
Watch to find out more.
🖥️🧬
September 17, 2025 at 3:23 PM
What if you could get a glimpse of the future of your health, today?
Our scientists have developed a new generative AI model, trained using large-scale health records, that can estimate how human health may change over time.
Watch to find out more.
🖥️🧬
Our scientists have developed a new generative AI model, trained using large-scale health records, that can estimate how human health may change over time.
Watch to find out more.
🖥️🧬
Reposted by Anna Mathioudaki
SUM-seq out @natmethods.nature.com !
🚀 Ultra-high-throughput Multiplexed snATAC+RNA
Used to:
⏳ link temporal macrophage GRNs to immune disease genetics
🩸 map T cell regulatory landscapes
🧬✂️ dissect TF function in hiPSC differentiation via CRISPRi/a screens
doi.org/10.1038/s41592-025-02700-8
🧵
🚀 Ultra-high-throughput Multiplexed snATAC+RNA
Used to:
⏳ link temporal macrophage GRNs to immune disease genetics
🩸 map T cell regulatory landscapes
🧬✂️ dissect TF function in hiPSC differentiation via CRISPRi/a screens
doi.org/10.1038/s41592-025-02700-8
🧵
Single-cell ultra-high-throughput multiplexed chromatin and RNA profiling reveals gene regulatory dynamics - Nature Methods
This work presents SUM-seq, an ultra-high-throughput method for co-profiling chromatin accessibility and gene expression in single nuclei across multiplexed samples, advancing the study of gene regula...
doi.org
May 26, 2025 at 9:33 AM
SUM-seq out @natmethods.nature.com !
🚀 Ultra-high-throughput Multiplexed snATAC+RNA
Used to:
⏳ link temporal macrophage GRNs to immune disease genetics
🩸 map T cell regulatory landscapes
🧬✂️ dissect TF function in hiPSC differentiation via CRISPRi/a screens
doi.org/10.1038/s41592-025-02700-8
🧵
🚀 Ultra-high-throughput Multiplexed snATAC+RNA
Used to:
⏳ link temporal macrophage GRNs to immune disease genetics
🩸 map T cell regulatory landscapes
🧬✂️ dissect TF function in hiPSC differentiation via CRISPRi/a screens
doi.org/10.1038/s41592-025-02700-8
🧵
Reposted by Anna Mathioudaki
1/ New preprint! 🍳
@elihei.bsky.social and our team at @embl.org , @dkfz.bsky.social, and @mskcancercenter.bsky.social built #segger - a fast, accurate cell segmentation tool for spatial transcriptomics that assigns transcripts to their cell origins!
doi.org/10.1101/2025...
@elihei.bsky.social and our team at @embl.org , @dkfz.bsky.social, and @mskcancercenter.bsky.social built #segger - a fast, accurate cell segmentation tool for spatial transcriptomics that assigns transcripts to their cell origins!
doi.org/10.1101/2025...
March 18, 2025 at 2:48 PM
1/ New preprint! 🍳
@elihei.bsky.social and our team at @embl.org , @dkfz.bsky.social, and @mskcancercenter.bsky.social built #segger - a fast, accurate cell segmentation tool for spatial transcriptomics that assigns transcripts to their cell origins!
doi.org/10.1101/2025...
@elihei.bsky.social and our team at @embl.org , @dkfz.bsky.social, and @mskcancercenter.bsky.social built #segger - a fast, accurate cell segmentation tool for spatial transcriptomics that assigns transcripts to their cell origins!
doi.org/10.1101/2025...
Reposted by Anna Mathioudaki
Thrilled to share that our work from Trumpp Lab @hi-stem @dkfz.bsky.social is out in Nature.
We provide the first single-cell data on neurons infiltrating pancreatic tumors, offering new insights into cancer therapy. #cancerneuroscience @cn-hd.bsky.social
www.nature.com/articles/s41...
We provide the first single-cell data on neurons infiltrating pancreatic tumors, offering new insights into cancer therapy. #cancerneuroscience @cn-hd.bsky.social
www.nature.com/articles/s41...
February 18, 2025 at 9:37 AM
Thrilled to share that our work from Trumpp Lab @hi-stem @dkfz.bsky.social is out in Nature.
We provide the first single-cell data on neurons infiltrating pancreatic tumors, offering new insights into cancer therapy. #cancerneuroscience @cn-hd.bsky.social
www.nature.com/articles/s41...
We provide the first single-cell data on neurons infiltrating pancreatic tumors, offering new insights into cancer therapy. #cancerneuroscience @cn-hd.bsky.social
www.nature.com/articles/s41...
Reposted by Anna Mathioudaki
New pre-print from Thomas Höfer, Daniel Hübschmann, @haas_lab and myself, with first authors @Esther_RCorrea @FloGrunschlager and Tamar Nizharadze doi.org/10.1101/2025... @DKFZ @NCT_HD @ChariteBerlin @hi_stem_lab BIH & MDC
A kinetics-based model of hematopoiesis reveals extrinsic regulation of skewed lineage output from stem cells
Residing at the top of the hematopoietic hierarchy, long-term hematopoietic stem cells (HSCs) are capable of self-renewal and sustained blood cell regeneration. Over the past decades, single-cell and ...
doi.org
February 5, 2025 at 10:55 AM
New pre-print from Thomas Höfer, Daniel Hübschmann, @haas_lab and myself, with first authors @Esther_RCorrea @FloGrunschlager and Tamar Nizharadze doi.org/10.1101/2025... @DKFZ @NCT_HD @ChariteBerlin @hi_stem_lab BIH & MDC