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Expansion Spatial Transcriptomics

Fan, Y.; Andrusivova, Z.; Wu, Y.; Chai, C.; Larsson, L.; He, M.; Luo, L.; Lundeberg, J.; Wang, B.

2022-10-26 genomics
10.1101/2022.10.25.513696 bioRxiv
Show abstract

Capture array-based spatial transcriptomics methods have been widely used to resolve gene expression in diverse tissue contexts, however, their spatial resolution is limited by array density. We present Expansion Spatial Transcriptomics (Ex-ST) to overcome this limitation by clearing and expanding tissue prior to capturing the entire transcriptome. This approach allows us to achieve near cellular resolution and higher capture efficiency of lowly-expressed genes, which we demonstrate using mouse brain samples.

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"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.