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Subcellular omics: a new frontier pushing the limits of resolution, complexity and throughput

Nature Methods volume 20, pages 331–335 (2023)Cite this article

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We argue that the study of single-cell subcellular organelle omics is needed to understand and regulate cell function. This requires and is being enabled by new technology development.

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Fig. 1: Analysis of mitochondria as an exemplar of single-cell organelle chemical and biology detection methods.

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Acknowledgements

This work has been funded in part by a US NHGRI Center of Excellence in Genomic Sciences (CEGS) grant to the Center for Sub-cellular Genomics (RM1HG010023).

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Author notes

  1. These authors contributed equally: J. Eberwine, J. Kim.

Authors and Affiliations

  1. Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA

    James Eberwine, HyunBum Kim & Jai-Yoon Sul

  2. Department of Biology, School of Arts and Sciences, University of Pennsylvania, Philadelphia, PA, USA

    Junhyong Kim, Stephen A. Fisher & Hyejoong Jeong

  3. Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA

    Ron C. Anafi

  4. Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA

    Steven Brem, M. Sean Grady & John A. Wolf

  5. Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA

    Maja Bucan

  6. Department of Bioengineering, University of California at Berkeley, Berkeley, CA, USA

    Amy E. Herr

  7. Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA

    David Issadore

  8. Department of Chemical and Biomolecular Engineering, , University of Pennsylvania, Philadelphia, PA, USA

    Hyejoong Jeong & Daeyeon Lee

  9. Department of Chemistry, University of Illinois at Urbana-Champaign, Urbana, IL, USA

    Stanislav Rubakhin & Jonathan V. Sweedler

  10. Department of Cell and Developmental Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA

    Kenneth S. Zaret

  11. Department of Biomedical Data Science, Stanford University, Stanford, CA, USA

    James Zou

Authors
  1. James Eberwine
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Corresponding authors

Correspondence to James Eberwine or Junhyong Kim.

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Competing interests

J.E. is a member of the US National Institutes of Health BRAIN Initiative Multi-Council Working Group. D.I. is a co-founder of and owns equity in Chip Diagnostics and InfiniFluidics. D.L. is a co-founder of and owns equity in InfiniFluidics. The other authors declare no competing interests.

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Nature Methods thanks Alessandro Ori and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.

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Eberwine, J., Kim, J., Anafi, R.C. et al. Subcellular omics: a new frontier pushing the limits of resolution, complexity and throughput. Nat Methods 20, 331–335 (2023). https://doi.org/10.1038/s41592-023-01788-0

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