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Til Steinicke

@til-steinicke.bsky.social
56 followers 179 following 11 posts

Graduate Student Researcher in the Hovestadt lab at DFCI

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Reposted by Til Steinicke
Nature Portfolio @natureportfolio.nature.com · 28/09/2025
A paper in Nature Genetics presents a framework for rapid acute leukemia classification that complements and enhances standard-of-care diagnostics. go.nature.com/3IInDfM #medsky 🧬 🧪
This is figure 1, which shows DNA methylation-based classification of acute leukemia.
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Til Steinicke @til-steinicke.bsky.social · 22/09/2025
Thank you to everyone involved! Maria Capilla-Guerra, Andre Monteleone, Jonathan Young, Subha Shankar, Phillip Michaels, Harrison Tsai, @jdgood1.bsky.social, Antonia Kreso, @vangalenlab.bsky.social, Christoph Schliemann and Evan Chen. @danafarber.bsky.social @broadinstitute.org (11/11)
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Til Steinicke @til-steinicke.bsky.social · 22/09/2025
➡️ Moving forward, we are excited to continue developing this framework by expanding to other hematological malignancies, optimizing MARLIN’s integration into existing diagnostic workflows, and validating MARLIN’s accuracy and impact in broader prospective studies. (10/n)
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Til Steinicke @til-steinicke.bsky.social · 22/09/2025
- When coupled with nanopore sequencing, MARLIN provides accurate real-time classifications, often within two hours from sample receipt. (9/n)
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Til Steinicke @til-steinicke.bsky.social · 22/09/2025
- MARLIN is a neural network for DNA methylation-based acute leukemia classification that shows high accuracy in retrospective and prospective samples. (8/n)
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Til Steinicke @til-steinicke.bsky.social · 22/09/2025
…but also reveal novel disease heterogeneity or shared biology that is not captured by conventional testing alone. (7/n)
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Til Steinicke @til-steinicke.bsky.social · 22/09/2025
- Methylation classes frequently mirror established molecular categories in acute leukemia…(6/n)
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Til Steinicke @til-steinicke.bsky.social · 22/09/2025
- DNA methylation profiling is a valuable approach for assigning acute leukemia lineages and it may help classify lineage ambiguous acute leukemia. (5/n)
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Til Steinicke @til-steinicke.bsky.social · 22/09/2025
🔬Key takeaways: - We built a comprehensive reference of pediatric + adult acute leukemia and defined 38 acute leukemia methylation classes. (4/n)
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Til Steinicke @til-steinicke.bsky.social · 22/09/2025
💡To address these issues, we have developed a comprehensive framework for rapid classification of acute leukemia using epigenetics, nanopore sequencing and a novel machine learning classifier for real-time acute leukemia classification. (3/n)
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Til Steinicke @til-steinicke.bsky.social · 22/09/2025
❓Diagnosing acute leukemia quickly and accurately is crucial for its treatment, but current methods are time-consuming and do not necessarily identify all features of the disease. (2/n)
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Til Steinicke @til-steinicke.bsky.social · 22/09/2025
Epigenetic diagnosis of acute leukemia within two hours from sample receipt 🚀 Very happy to share the results of a great collaboration between @hovestadt.bsky.social and Griffin Labs, I co-led with @sbenfatto.bsky.social, published today in @natgenet.nature.com 📄 www.nature.com/articles/s41... 🧵1/n
nature.com
Rapid epigenomic classification of acute leukemia - Nature Genetics
The authors present a molecular classification of acute leukemia using 5-methylcytosine signatures, together with a neural network-based classifier for clinical use.
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