About

Important: these predictions are based on transcriptomic data and should be considered as putative and hypothesis-generating, rather than as functional hormones and receptors. The user takes responsibility for validation using appropriate methods (e.g. in vitro, in vivo) and for describing appropriately their use of transcriptome-based scores and predictions.

This publication is part of the Human Cell Atlas: www.humancellatlas.org/publications

How to cite

If you use this resource, please cite:

Fei/Huang-Doran et al. (2026) Science, A Hormone Cell Atlas maps the human endocrine system at cellular resolution. doi: 10.1126/science.aeb2672

and also cite the original study or studies for each tissue: Table S1A: Overview of studies and data sources

If you use the hormone2cell framework to analyse your own data, please also cite:

hormone2cell, GitHub: github.com/Teichlab/hormone2cell

Body graphics:
Body graphics with hormone/receptor score overlays - seek permission to reproduce.
Component tissue icon outlines - created with BioRender.com. Farooqi, S. (https://BioRender.com/y7kdev9 - licensed under CC BY 4.0.)

References

sc/snRNA-seq data sources are provided in Table S1A of Fei/Huang-Doran et al. (2026) Science, also available on the Downloads page.

Genomics England PanelApp

Panel names, versions and gene lists: see 'Disease' tab and Fei/Huang-Doran et al. (2026) Science.

PanelApp reference: Martin/Williams et al. (2019) Nature Genetics, PanelApp crowdsources expert knowledge to establish consensus diagnostic gene panels. doi:10.1038/s41588-019-0528-2.

Contributors

Browser development

  • Jaume Margalef Rieres — founding contributor
  • Joe Pohlman, Isabel Huang-Doran, Katherine Lawler, Lijiang Fei
  • Farooqi team (IMS-MRL), www.goos.org.uk
  • Teichmann lab, www.teichlab.org

Platform support

Contact

FAQs

  • Is there a tutorial for this website?
  • How should these scores and hormone/receptor predictions be used?
    • These predictions are based on transcriptomic data and should be considered as putative and hypothesis-generating, rather than as functional hormones and receptors. The user takes responsibility for validation using appropriate methods (e.g. in vitro, in vivo) and for describing appropriately their use of transcriptome-based scores and predictions.
    • The transcriptome-based “hormone-producing cell” (HPC) and “hormone-receiving cell” (HRC) scores depend on our Hormone-Receptor Database (HRdb) of included and excluded genes, on the definition of cell types, and on the score calculation itself. Familiarise yourself with: (i) our Hormone-Receptor Database, (ii) the Methods section of the accompanying paper (see “How do I cite this resource?"), and (iii) the hormone2cell source code used for score implementation.
    • Some predictions were investigated in vitro in the accompanying paper (see “How do I cite this resource?").
    • The accompanying cellxgene browser, linked from each Tissue page, can be used to explore gene expression in the integrated sc/snRNAseq tissue atlases.

  • How do I cite this resource?