Single-cell spatial atlas of the ageing human breast

Zenodo (CERN European Organization for Nuclear Research) 2026 Dataset Open access

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Authors: Pulkit Gupta, Eric Lee, Neus Masqué‐Soler, Ellen Schrader, Xiao Qian Wang, Shimrit Mayer, C. Cárcamo Flores, Sean Beatty, Andrew J. L. Roth, Samuel A. J. R. Aparicio, Hamid Ali
DOI: 10.5281/zenodo.18418220
Cited by: 0

Abstract

This dataset contains all the IMC data associated with Gupta, Lee et al. Single cell spatial atlas of the ageing breast, Nature Aging (2026). The zip file IMCBreastAgeingAtlasPublic contains: Raw multiplexed image data, image masks, spillover matrix for signal compensation, antibody panel information, clinical data Processed single-cell data Code for analysis and creating plots (which can also be found at https://github.com/HRazaAliLab/IMCBreastAgeingAtlas) Please read the accompanying DataGuide.pdf for folder structure guide and information on both the raw and processed data. Please read the accompanying CodeGuide.pdf to reproduce published figures.

Fields of Study & Subjects

Single-cell and spatial transcriptomics Breast Cancer Treatment Studies Cell Image Analysis Techniques

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
1 January 2026
Language
EN
Document type
Dataset