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Benchmarking robust spatial transcriptomics approaches to capture the molecular landscape and pathological architecture of archived cancer tissues

2023-02-13

Abstract excerpt

<h4>Abtracts</h4> Applying spatial transcriptomics (ST) to explore a vast amount of formalin-fixed paraffin-embedded (FFPE) archival cancer tissues has been highly challenging due to several critical technical issues. In this work, we optimised ST protocols to generate unprecedented spatial gene expression data for FFPE skin cancer. Skin is among the most challenging tissue types for ST due to its fibrous structu...

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Literature Corpus work
0f1ebe1f-1d87-588d-bce5-895dc4ae8b90
DOI
10.1101/2023.02.11.527941
Open publication

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Benchmarking robust spatial transcriptomics approaches to capture the molecular landscape and pathological architecture of archived cancer tissuesDOI 10.1101/2023.02.11.527941
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