A transcriptomic analysis of endometriosis and comparison tissues has been conducted, revealing a rich and complex catalogue of single-cell-based expression data. This resource is an invaluable building block towards single cell profiling at scale, aiding research into endometriosis pathogenesis and new ways of diagnosing and treating the disease.
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Acknowledgements
We gratefully acknowledge Antonio Garcia (Wellcome Sanger Institute) for assistance with developing the first draft of the figure and Aidan Maartens (Wellcome Sanger Institute) for help with preparing the first draft of the manuscript. L.G.-A. and R.V.-T. are supported by Wellcome Sanger core funding (220540/Z/20/A).
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García-Alonso, L., Zondervan, K.T. & Vento-Tormo, R. A novel resource to study endometriosis at the single-cell level. Nat Rev Endocrinol 19, 256–257 (2023). https://doi.org/10.1038/s41574-023-00814-7
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DOI: https://doi.org/10.1038/s41574-023-00814-7