Museum of spatial transcriptomics | Nature Methods

This work presents an overview of the evolution of spatial transcriptomics and highlights recent efforts in method developments in this space.

Subjects Fluorescence in situ hybridization RNA sequencing Software A Publisher Correction to this article was published on 19 April 2022 This article has been updated Abstract The function of many biological systems, such as embryos, liver lobules, intestinal villi, and tumors, depends on the spatial organization of their cells. In the past decade, high-throughput technologies have been developed to quantify gene expression in space, and computational methods have been developed that leverage spatial gene expression data to identify genes with spatial patterns and to delineate neighborhoods w

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