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Image-seq: image-guided cell isolation for spatially resolved transcriptomic analysis

Nature Reviews Immunology volume 23, page 473 (2023)Cite this article

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Spatial transcriptomics encompasses a set of technologies capable of resolving spatial differences in gene expression with subcellular resolution. These technologies have allowed us to peer into the spatial organization of numerous tissue types, as well as to characterize the microenvironment surrounding cancer and other disease-initiating cells. However, they typically require fixation, along with the generation of thin tissue sections, which impedes their ability to provide information on three-dimensional tissue architecture. In addition, many technologies either have limited sensitivity or require the prior design of mRNA probes and are difficult to combine with in vivo imaging. Moreover, specialized protocols are needed to perform transcriptomic and multi-omic library preparation, sequencing and data analysis.

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  1. Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA

    Christa Haase

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  1. Christa Haase
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Correspondence to Christa Haase.

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C.H. is an inventor on a coversheet provisional filed by Massachusetts General Hospital (App. No. 63/394,274, patent application pending) that describes the Image-seq technology.

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Haase, C. Image-seq: image-guided cell isolation for spatially resolved transcriptomic analysis. Nat Rev Immunol 23, 473 (2023). https://doi.org/10.1038/s41577-023-00912-7

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  • DOI: https://doi.org/10.1038/s41577-023-00912-7

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