激素细胞图谱以细胞分辨率绘制人类内分泌系统，这一成果由英国阿登布鲁克医院I. Sadaf Farooqi研究组经过不懈努力而取得。相关论文发表在2026年7月2日出版的《科学》杂志上。
从人类细胞图谱中获得灵感，小组分析了转录组数据集中379个激素和受体基因的表达，该数据集包括47个人体组织中的1400万个单个细胞和细胞核。使用hormon2cell，该课题组绘制了假定的激素产生和激素接受细胞类型，定义了组织特异性和跨组织的内分泌特征。该研究团队预测了非经典的激素表达位点，包括浆细胞样树突状细胞中的分泌素，推断了趋同激素的作用和内分泌反馈回路，以及与单基因内分泌失调有关的细胞群。在脂肪细胞数据集的跨组织整合中，该研究团队发现了跨储存库、脂肪细胞亚型和脂肪生成分化的动态内分泌程序。累积起来，激素细胞图谱（贺尔蒙细胞图谱）为剖析激素对健康和疾病的影响提供了一个全面的框架。
据介绍，激素通过组织和器官来协调生理功能。
附：英文原文
Title: A Hormone Cell Atlas maps the human endocrine system at cellular resolution
Author: Lijiang Fei, Isabel Huang-Doran, Katherine Lawler, Yizhou Yu, Jan Patrick Pett, Kevin M. Méndez-Acevedo, Dinesh Shah, Jaume Margalef-Rieres, Joseph S. Pohlman, Batuhan Cakir, Madelyn R. Moy, Robert G. Legg, Chuan Xu, Ken To, Duy Pham, Alexander V. Predeus, Ruth Hanssen, Tessa M. Cacciottolo, Rakesh K. Kapuge, Krzysztof Polanski, Amanda J. Oliver, Sarah A. Teichmann, I. Sadaf Farooqi
Issue&Volume: 2026-07-02
Abstract: 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.
DOI: aeb2672
Source: https://www.science.org/doi/10.1126/science.aeb2672
期刊信息
Science：《科学》，创刊于1880年。隶属于美国科学促进会，最新IF：63.714
官方网址：https://www.sciencemag.org/
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