An organism-wide atlas of hormonal signaling based on the mouse lemur single-cell transcriptome

Shixuan Liu, Camille Ezran, Michael F. Z. Wang, Zhengda Li, Kyle Awayan, Jonathan Z. Long, Iwijn De Vlaminck, Sheng Wang, Jacques Epelbaum, Christin S. Kuo, Jérémy Terrien, Mark A. Krasnow () and James E. Ferrell ()
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Shixuan Liu: Stanford University School of Medicine
Camille Ezran: Stanford University School of Medicine
Michael F. Z. Wang: Meinig School of Biomedical Engineering, Cornell University
Zhengda Li: Stanford University School of Medicine
Kyle Awayan: Chan Zuckerberg Biohub
Jonathan Z. Long: Stanford University School of Medicine
Iwijn De Vlaminck: Meinig School of Biomedical Engineering, Cornell University
Sheng Wang: University of Washington
Jacques Epelbaum: National Center for Scientific Research, National Museum of Natural History
Christin S. Kuo: Stanford University School of Medicine
Jérémy Terrien: National Center for Scientific Research, National Museum of Natural History
Mark A. Krasnow: Stanford University School of Medicine
James E. Ferrell: Stanford University School of Medicine

Nature Communications, 2024, vol. 15, issue 1, 1-27

Abstract: Abstract Hormones mediate long-range cell communication and play vital roles in physiology, metabolism, and health. Traditionally, endocrinologists have focused on one hormone or organ system at a time. Yet, hormone signaling by its very nature connects cells of different organs and involves crosstalk of different hormones. Here, we leverage the organism-wide single cell transcriptional atlas of a non-human primate, the mouse lemur (Microcebus murinus), to systematically map source and target cells for 84 classes of hormones. This work uncovers previously-uncharacterized sites of hormone regulation, and shows that the hormonal signaling network is densely connected, decentralized, and rich in feedback loops. Evolutionary comparisons of hormonal genes and their expression patterns show that mouse lemur better models human hormonal signaling than mouse, at both the genomic and transcriptomic levels, and reveal primate-specific rewiring of hormone-producing/target cells. This work complements the scale and resolution of classical endocrine studies and sheds light on primate hormone regulation.

Date: 2024
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DOI: 10.1038/s41467-024-46070-9

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