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High-definition spatial transcriptomics for in situ tissue profiling

Author(s)
Vickovic, Sanja; Eraslan, Gökcen; Salmén, Fredrik; Klughammer, Johanna; Stenbeck, Linnea; Schapiro, Denis; Äijö, Tarmo; Bonneau, Richard; Bergenstråhle, Ludvig; Navarro, José Fernandéz; Gould, Joshua; Griffin, Gabriel K.; Borg, Åke; Ronaghi, Mostafa; Frisén, Jonas; Lundeberg, Joakim; Regev, Aviv; Ståhl, Patrik L.; ... Show more Show less
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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.
Date issued
2019-09
URI
https://hdl.handle.net/1721.1/126032
Department
Massachusetts Institute of Technology. Department of Biology; Koch Institute for Integrative Cancer Research at MIT
Journal
Nature Methods
Publisher
Springer Science and Business Media LLC
Citation
Vickovic, Sanja et al. "High-definition spatial transcriptomics for in situ tissue profiling." Nature Methods 16, 10 (September 2019): 987–990 © 2019 The Author(s)
Version: Author's final manuscript
ISSN
1548-7091
1548-7105

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