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|a dc
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|a Vickovic, Sanja
|e author
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|a Massachusetts Institute of Technology. Department of Biology
|e contributor
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|a Koch Institute for Integrative Cancer Research at MIT
|e contributor
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|a Eraslan, Gökcen
|e author
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|a Salmén, Fredrik
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|a Klughammer, Johanna
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|a Stenbeck, Linnea
|e author
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|a Schapiro, Denis
|e author
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|a Äijö, Tarmo
|e author
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|a Bonneau, Richard
|e author
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|a Bergenstråhle, Ludvig
|e author
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|a Navarro, José Fernandéz
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|a Gould, Joshua
|e author
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|a Griffin, Gabriel K.
|e author
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|a Borg, Åke
|e author
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|a Ronaghi, Mostafa
|e author
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|a Frisén, Jonas
|e author
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|a Lundeberg, Joakim
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|a Regev, Aviv
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|a Ståhl, Patrik L.
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|a High-definition spatial transcriptomics for in situ tissue profiling
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| 260 |
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|b Springer Science and Business Media LLC,
|c 2020-06-30T21:35:49Z.
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| 856 |
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|z Get fulltext
|u https://hdl.handle.net/1721.1/126032
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|a 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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| 546 |
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|a en
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| 655 |
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|a Article
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|t Nature Methods
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