Three-dimensional imaging mass cytometry for highly multiplexed molecular and cellular mapping of tissues and the tumor microenvironment

  • Cancer Grand Challenges IMAXT Consortium

Research output: Contribution to journalArticlepeer-review

166 Scopus citations

Abstract

A holistic understanding of tissue and organ structure and function requires the detection of molecular constituents in their original three-dimensional (3D) context. Imaging mass cytometry (IMC) enables simultaneous detection of up to 40 antigens and transcripts using metal-tagged antibodies but has so far been restricted to two-dimensional imaging. Here we report the development of 3D IMC for multiplexed 3D tissue analysis at single-cell resolution and demonstrate the utility of the technology by analysis of human breast cancer samples. The resulting 3D models reveal cellular and microenvironmental heterogeneity and cell-level tissue organization not detectable in two dimensions. 3D IMC will prove powerful in the study of phenomena occurring in 3D space such as tumor cell invasion and is expected to provide invaluable insights into cellular microenvironments and tissue architecture.

Original languageEnglish
Pages (from-to)122-133
Number of pages12
JournalNature Cancer
Volume3
Issue number1
DOIs
StatePublished - Jan 2022
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2021, The Author(s).

Funding

We thank S. Engler and A. Jacobs (University of Zurich), A. B. Sobottka-Brillout and S. Dettwiler (Institute of Pathology and Molecular Pathology, University Hospital Zurich) and F. Prutek (Tissue Biobank, University Hospital Zurich) for technical support. We thank R. A. Wepf (University of Queensland), H. Gnaegi (Diatome AG) and U. Ziegler, A. Käch and G. Barmettler (University of Zurich) for their invaluable guidance with the paraffin ultramicrotomy procedure. We also thank J. Windhager and V. Zanotelli for their advice on computational analysis. L.K. is supported by a Cancer Research UK Grand Challenge grant. The work of B.B. was supported by the Swiss National Science Foundation R’Equip grant 316030-139220, an SNSF Assistant Professorship grant PP00P3-144874, the European Research Council (ERC) grant under the European Union’s Seventh Framework Programme (FP/2007-2013)/ERC grant no. 336921 and under the European Union’s Horizon 2020 Program ERC Consolidator grant no. 866074, the Cancer Research UK IMAXT Grand Challenge grant and a National Institutes of Health HubMAP grant.

FundersFunder number
Cancer Research UK IMAXT
European Union’s Horizon 2020 Program ERC866074
National Institutes of Health
National Cancer InstituteP30CA008748
Seventh Framework ProgrammeFP/2007-2013, 336921
Cancer Research UK
European Commission
Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung316030-139220, PP00P3-144874

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