High-definition spatial transcriptomics for in situ tissue profiling

High-definition spatial transcriptomics for in situ tissue profiling

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 expe...

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Main Authors: Vickovic, Sanja (Author), Eraslan, Gökcen (Author), Salmén, Fredrik (Author), Klughammer, Johanna (Author), Stenbeck, Linnea (Author), Schapiro, Denis (Author), Äijö, Tarmo (Author), Bonneau, Richard (Author), Bergenstråhle, Ludvig (Author), Navarro, José Fernandéz (Author), Gould, Joshua (Author), Griffin, Gabriel K. (Author), Borg, Åke (Author), Ronaghi, Mostafa (Author), Frisén, Jonas (Author), Lundeberg, Joakim (Author), Regev, Aviv (Author), Ståhl, Patrik L. (Author)
Other Authors: Massachusetts Institute of Technology. Department of Biology (Contributor), Koch Institute for Integrative Cancer Research at MIT (Contributor)
Format: Article
Language:English
Published: Springer Science and Business Media LLC, 2020-06-30T21:35:49Z.
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Summary: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.

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