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The spatial landscape of gene expression isoforms in tissue sections

By Kevin Lebrigand, Joseph Bergenstråhle, Kim Thrane, Annelie Mollbrink, Pascal Barbry, Rainer Waldmann, Joakim Lundeberg

Posted 24 Aug 2020
bioRxiv DOI: 10.1101/2020.08.24.252296

In situ capturing technologies add tissue context to gene expression data, with the potential of providing a greater understanding of complex biological systems. However, splicing variants and full length sequence heterogeneity cannot be characterized with current methods. Here, we introduce Spatial Isoform Transcriptomics (SiT), an explorative method for characterizing spatial isoform and sequence heterogeneity in tissue sections, and show how it can be used to profile isoform expression and sequence heterogeneity in a tissue context. ### Competing Interest Statement J.L., J.B. and K.T. are advisors to 10x Genomics Inc, which holds IP rights to the ST technology. J.B. is a shareholder of Cartana AB.

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