A Hormone Cell Atlas maps the human endocrine system at cellular resolution

• 成果类型: Article
• 署名作者: Fei, Lijiang; Huang-Doran, Isabel; Lawler, Katherine; Yu, Yizhou; Pett, Jan Patrick; Mendez-Acevedo, Kevin M.; Shah, Dinesh; Margalef-Rieres, Jaume; Pohlman, Joseph S.; Cakir, Batuhan; Moy, Madelyn R.; Legg, Robert G.; Xu, Chuan; To, Ken; Pham, Duy; Predeus, Alexander V.; Hanssen, Ruth; Cacciottolo, Tessa M.; Kapuge, Rakesh K.; Polanski, Krzysztof; Oliver, Amanda J.; Teichmann, Sarah A.; Farooqi, I. Sadaf
• 署名单位: University of Cambridge; University of Cambridge; Cambridge University Hospitals NHS Foundation Trust; Addenbrooke's Hospital; Wellcome Trust Sanger Institute; University of Cambridge; University of Cologne; Imperial College London; QIMR Berghofer Medical Research Institute; University of Cambridge
• 刊物名称: SCIENCE
• ISSN/ISSBN: 0036-8075; 1095-9203
• DOI: 10.1126/science.aeb2672
• 发表日期: 2026-07-02
• 页码: eaeb2672
• 关键词: mutations; regulator; obesity; leptin; lung

摘要

Hormones act across tissues and organs to coordinate physiological functions. Drawing inspiration from the Human Cell Atlas, we analyzed the expression of 379 hormone and receptor genes in a transcriptomic dataset comprising 14 million single cells and nuclei across 47 human tissues. Using hormone2cell, we mapped putative hormone-producing and hormone-receiving cell types, defining tissue-specific and cross-tissue endocrine signatures. We predicted nonclassical sites of hormone expression, including secretin in plasmacytoid dendritic cells, inferred convergent hormone action and endocrine feedback loops, and implicated cell populations in monogenic endocrine disorders. In a cross-tissue integration of adipocyte datasets, we uncovered dynamic endocrine programs across depots, within adipocyte subtypes and through adipogenic differentiation. Cumulatively, the Hormone Cell Atlas (hormonecellatlas.org.uk) provides a comprehensive framework for dissecting hormonal impact on health and disease.