We built a repository of 124 tumor single-cell RNA-sequencing datasets and used it to systematically characterize the expression heterogeneity within tumors. These data and analyses together constitute the Curated Cancer Cell Atlas and are freely available for exploration and download via an enhanced online portal.
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References
Marusyk, A., Janiszewska, M. & Polyak, K. Intratumor heterogeneity: the Rosetta Stone of therapy resistance. Cancer Cell 37, 471–484 (2020). This review article presents research on the clinical implications of ITH.
Gavish, A. et al. Hallmarks of transcriptional intratumour heterogeneity across a thousand tumours. Nature 618, 598–606 (2023). This paper reports a pan-cancer map of recurrent cell states, utilizing an earlier version of 3CA.
Tyler, M. & Tirosh, I. Decoupling epithelial-mesenchymal transitions from stromal profiles by integrative expression analysis. Nat. Commun. 12, 2592 (2021). This paper integrates single-cell and bulk RNA-seq datasets to decouple mesenchymal signatures of malignant cells from those of stromal cells.
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This is a summary of: Tyler, M. et al. The Curated Cancer Cell Atlas provides a comprehensive characterization of tumors at single-cell resolution. Nat. Cancer https://doi.org/10.1038/s43018-025-00957-8 (2025).
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Curating a single-cell data atlas for a deeper understanding of intra-tumor heterogeneity. Nat Cancer 6, 922–923 (2025). https://doi.org/10.1038/s43018-025-00956-9
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DOI: https://doi.org/10.1038/s43018-025-00956-9
