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snPATHO-seq: A Detailed Protocol for Single Nucleus RNA Sequencing From FFPE.
Wani Arjumand1,2, Kellie Wise3,4,5, Hannah DuBose1,2
1Center for Spatial Omics, St Jude Children's Research Hospital, Memphis, TN, USA.
Bio-Protocol
|May 14, 2025
Summary
We developed snPATHO-seq, a new method for high-quality single-nucleus transcriptomics from archival formalin-fixed paraffin-embedded (FFPE) tissues. This approach overcomes RNA degradation, enabling deeper insights from valuable FFPE sample collections.
Area of Science:
- Single-cell genomics
- Molecular pathology
- Biotechnology
Background:
- Formalin-fixed paraffin-embedded (FFPE) tissues are a valuable resource but challenging for single-cell omics due to RNA degradation.
- Existing methods struggle to yield high-quality transcriptomic data from FFPE samples, limiting their use in research.
Purpose of the Study:
- To present snPATHO-seq, a novel workflow for generating high-quality single-nucleus (sn) transcriptomic data from FFPE tissues.
- To overcome limitations of RNA degradation in FFPE samples for advanced single-cell omics analysis.
Main Methods:
- Developed snPATHO-seq integrating optimized nuclei isolation from FFPE tissues with the 10× Genomics Flex assay.
- Targeted short RNA fragments to mitigate FFPE-related RNA degradation.
- Benchmarked against standard assays on fresh/frozen and diverse FFPE tissues, including breast cancer samples.
Main Results:
- snPATHO-seq demonstrated robust detection of transcriptomic signatures and cell types across various FFPE samples.
- Achieved superior data quality compared to existing FFPE workflows, reducing tissue debris and preserving RNA integrity.
- Showcased high performance and cell type detection sensitivity, outperforming other FFPE methods.
Conclusions:
- snPATHO-seq provides a cost-effective and adaptable solution for high-resolution transcriptomics of archival FFPE samples.
- This workflow advances single-cell omics applications in translational and clinical research by unlocking the potential of FFPE tissues.
- Enables multi-modal spatial and single-nucleus profiling when integrated with FFPE spatial transcriptomics.

