A curated index of articles, updates, events, and published work across single-cell research.
Ram Krishna Thakur, Göran Karlsson explore how single-cell omics reveals cellular heterogeneity driving clinical outcomes in CML.
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Pavan Prabhala et al. map the transcriptional landscape of human airway epithelium, identifying HLF as a key regulator.
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Momoko Ishikawa et al. show IL-12-expressing alphavirus particles reprogram tumor immune cells to induce anti-tumor responses.
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Gautam Ahuja et al. demonstrate how multi-agent AI systems enable evidence-based cell annotation in scRNA-seq data.
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Sara Palo et al. reveal how chromatin accessibility patterns shape lineage plasticity during blood cell development.
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Liang Wang et al. present CTEC, an ensemble clustering method for robust scRNA-seq data analysis.
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Ivan Imaz-Rosshandler et al. predict and validate cell differentiation trajectories during early mammalian organogenesis.
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Rebecca Warfvinge et al. link single-cell multi-omics heterogeneity in CML to variations in therapy response.
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Daniel Zucha et al. map glial cell responses over time in a mouse brain ischemia model using spatial transcriptomics.
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Radek Sindelka et al. characterize cells that initiate regeneration during Xenopus tail regrowth.
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Sijie Li et al. introduce EpiCarousel for efficient metacell identification in large-scale chromatin accessibility datasets.
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Sagnik Yarlagadda and Todd D. Giorgio provide a practical guide to scRNA-seq analysis using web-based platforms.
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Mikael N. E. Sommarin et al. define developmental-specific populations in human fetal blood formation using multi-omics.
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Parashar Dhapola et al. introduce Scarf for memory-efficient single-cell sequencing analysis, published in Nature Communications.
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