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Highly multiplexed imaging in the omics era: understanding tissue structures in health and disease

Nature Methods volume 21, pages 2209–2211 (2024)Cite this article

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Spatial proteomics is advancing rapidly, transforming physiological and biomedical research by enabling the study of how multicellular structures and intercellular communication shape tissue function in health and disease. Through the analysis of large human tissue collections, spatial proteomics will reveal the complexities of human tissues and uncover multicellular modules that can serve as drug targets and diagnostics, paving the way for precision medicine and revolutionizing histopathology.

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Fig. 1: Analysis scales of spatial proteomics.
Fig. 2: Enhancing throughput and increasing depth of spatial proteomics using machine learning.

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Acknowledgements

I would like to thank N. de Souza for critical feedback. B.B. was supported by two Swiss National Science Foundation (SNSF) grants (310030_205007, 316030_213512), a US National Institutes of Health grant (5R01DK131059-04) and the European Research Council (ERC) under the European Union’s Horizon 2020 Program under ERC grant agreement no. 866074 (“Precision Motifs”).

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  1. University of Zurich, Department of Quantitative Biomedicine, Zurich, Switzerland

    Bernd Bodenmiller

  2. ETH Zurich, Institute of Molecular Health Sciences, Zurich, Switzerland

    Bernd Bodenmiller

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  1. Bernd Bodenmiller
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Correspondence to Bernd Bodenmiller.

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Competing interests

B.B. co-founded and is a shareholder and member of the board of Navignostics, a precision oncology spin-off company from the University of Zurich. B.B. is a member of the scientific advisory board of Standard BioTools.

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Bodenmiller, B. Highly multiplexed imaging in the omics era: understanding tissue structures in health and disease. Nat Methods 21, 2209–2211 (2024). https://doi.org/10.1038/s41592-024-02538-6

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