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Microscopy

IMAGE-seq and you shall find

Nature Methods volume 20, pages 639–640 (2023)Cite this article

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Integration of single-cell molecular profiling with cellular spatial localization has remained an elusive goal. Image-seq leverages high-resolution microscopy to spatially resolve and isolate viable bone marrow and leukemia cells for subsequent state-of-the art, single-cell transcriptomics.

Single-cell transcriptomics has revolutionized biology and transformed researchers’ ability to ascertain the unique molecular signatures and heterogeneity of individual cells1. One limitation of most single-cell transcriptomic techniques is the disconnect from spatial cellular localizations and environments; this has limited broader understanding of the relationships between individual cell molecular heterogeneity and tissue organization2. In a recent issue of Nature Methods, Haase et al. describe a new technique, Image-Seq, in which in vivo imaging is applied to allow spatially resolved isolation of viable cells and single-cell sequencing3. As an example of the power of Image-seq, the authors demonstrate the increased expression of DPP4 in proliferative acute myeloid leukemia (AML) cells isolated from a distinct bone marrow microenvironment identified via intravital microscopy.

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Fig. 1: Image-Seq.

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Acknowledgements

The authors thank Bryanna C. Reinhardt, Louisiana State University School of Medicine, for illustration.

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Authors and Affiliations

  1. Division of Hematology & Cellular Therapy, Department of Medicine, Cedars Sinai Medical Center, Los Angeles, CA, USA

    John P. Chute & Joshua P. Sasine

  2. Regenerative Medicine Institute, Cedars Sinai Medical Center, Los Angeles, CA, USA

    John P. Chute & Joshua P. Sasine

  3. Samuel Oschin Cancer Institute, Cedars Sinai Medical Center, Los Angeles, CA, USA

    John P. Chute & Joshua P. Sasine

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  1. John P. Chute
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  2. Joshua P. Sasine
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Correspondence to John P. Chute.

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The authors declare no competing interests.

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Chute, J.P., Sasine, J.P. IMAGE-seq and you shall find. Nat Methods 20, 639–640 (2023). https://doi.org/10.1038/s41592-023-01835-w

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