KTH Royal Institute of Technology,Science for Life Laboratory, Sweden
Spatially resolved transcriptomics provides us with new insights into the molecular diversity of heterogeneous tissue structures. Several approaches have been established in order to preserve gene expression information together with its tissue localization. However, existing challenges for many spatial technologies include the extent of existing knowledge about the targets, the labor-intensive nature of the methods or the fact that they are not applicable to clinical samples. Here, we present a method whereby whole intact tissue sections can be studied in a spatial whole-transcriptome manner.
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