Single Cell Gescheft @WeizmannScience

ישראל
Joined November 2017
Does scale limit what we can discover? In our new @NatureGenet study, led by @MorZada3 & @Anna_Kurilovich, we built a 427-sample single-cell atlas of multiple myeloma across 341 individuals, linked to genetics and detailed clinical data 🧵 (1/15) 🔗 nature.com/articles/s41588-0…
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Wrapping up an unbelievable year of growth, discovery, and achievement at Amit Lab with our annual lab retreat! Proud of this incredible team and more confident than ever about the future of immunology and immunology-based therapies! 🚀
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Retreat Day 2: Hiking and wine tasting in the Golan Heights 🥾🍷
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Nothing beats the AMIT | LAB retreats!! 🔥
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Very nice Mac reviews and a beautiful cover.
Macrophages wear many hats: from guardians of tissue health to architects of tumor niches and targets for therapy. Explore their remarkable plasticity, from homeostasis to disease and back, in the new @TrendsImmuno special issue. hubs.li/Q04Byx3b0
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What comes after M1/M2? In our Perspective with @FGinhoux in @ImmunityCP we explore how single-cell technologies and AI can decode the gene programs macrophages use across tissues & microenvironments, and how this modular view could transform immunotherapy cell.com/immunity/abstract/S…
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Different panels. Different technologies. Can we bring flow cytometry into biology’s AI revolution? Introducing CytoVI in @NatureMethods: linking cytometry & single-cell genomics to predict missing markers and reveal disease-associated cell states.🧵(1/15) doi.org/10.1038/s41592-026-0…
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CytoVI brings cytometry into biology’s AI revolution: connecting datasets across panels and technologies, enabling intuitive integration with single-cell genomics, and revealing new biology in existing and incoming samples. (14/15)
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Led by @FlorianIngelfi1, CytoVI is open source at scvi-tools.org Try our cytometry tutorials: docs.scvi-tools.org/en/stabl… Huge team effort with coauthors @nathan_levyy @_canergen @art_b_ai @WertheimerT @YosefLab & @ingelfingerlab. (15/15)
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