High-definition spatial transcriptomics for in situ tissue profiling

2019 Nature Methods 1,116 citations

Abstract

Spatial and molecular characteristics determine tissue function, yet high-resolution methods to capture both concurrently are lacking. Here, we developed high-definition spatial transcriptomics, which captures RNA from histological tissue sections on a dense, spatially barcoded bead array. Each experiment recovers several hundred thousand transcript-coupled spatial barcodes at 2-μm resolution, as demonstrated in mouse brain and primary breast cancer. This opens the way to high-resolution spatial analysis of cells and tissues.

Keywords

TranscriptomeIn situBiologyComputational biologyHigh resolutionRNAGene expression profilingProfiling (computer programming)Image resolutionGene expressionGeneComputer scienceGeneticsChemistryArtificial intelligenceGeology

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Publication Info

Year
2019
Type
article
Volume
16
Issue
10
Pages
987-990
Citations
1116
Access
Closed

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Sanja Vicković, Gökçen Eraslan, Fredrik Salmén et al. (2019). High-definition spatial transcriptomics for in situ tissue profiling. Nature Methods , 16 (10) , 987-990. https://doi.org/10.1038/s41592-019-0548-y

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DOI
10.1038/s41592-019-0548-y