RNA-aware tissue preservation workflows for high-quality spatial transcriptomics

Authors

Cadinu, P., Reardon-Lochbaum, C. A., Zhang, H., Kalemaki, K., Watson, B. R., Smirnakis, S., Snapper, S. B., Cantor, A. B., Moffitt, J. R.

Abstract

Image-based transcriptomic approaches can define, discover, and chart cell types and states within an array of tissues. However, measurement quality depends on RNA integrity, and the modern tissue preservation toolbox was not designed to protect this highly labile molecule. Here we leverage MERFISH to show that tissue-dependent differences in endogenous RNase activity can shape spatial transcriptomics data quality for different preservation methods and that RNase-activity-guided protocol optimization can improve data quality. In parallel, we introduce an RNA-aware pan-tissue preservation approach, Rapid Inhibition and Permanent Inactivation of Nucleases (RIPIN), that rapidly stabilizes samples with a broad-spectrum RNase inhibitor while permitting slow, chemical inactivation. RIPIN produces high-quality MERFISH measurements in all profiled human and mouse tissues, is compatible with clinical workflows, and is easily integrated with frozen or paraffin sectioning. By highlighting how RNA integrity can be lost during tissue processing, our work may inspire the next generation of RNA-aware histology methods.

Preprint server: bioRxiv
The authors list and abstract were imported from bioRxiv on 13 Sep 2026.

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