Benchmarking robust spatial transcriptomics approaches to capture the molecular landscape and pathological architecture of archived cancer tissues
T. Vo, K. Jones, S. Yoon, P. Y. Lam, Y.-C. Kao, C. Zhou, P. Prakrithi, J. Crawford, S. Walters, I. Gupta, H. P. Soyer, K. Khosrotehrani, M. S. Stark, Q. Nguyen
This study benchmarks spatial transcriptomics methods on archived FFPE cancer tissues, revealing molecular landscapes and pathological features, including non-coding RNA expression.
bioRxiv · Feb 11, 2023Pathology