Decoder-FFPE-seq enables sensitive, genome-wide spatial transcriptomics of archival tissues at single-cell resolution
Formalin-fixed paraffin-embedded (FFPE) tissue–compatible spatial transcriptomics (ST) is transforming biology and histopathology, but achieving high sensitivity, genome-wide coverage, single-cell resolution, and researcher accessibility remains challenging. To address these challenges, we here present a dendrimeric DNA coordinate barcoding design for FFPE tissue–adapted spatial RNA sequencing (Decoder-FFPE-seq) by integrating RNA-to-DNA probe conversion with blotting-assisted barcoding. Decoder-FFPE-seq provides single-cell resolution with a >2.6-fold sensitivity increase in whole-transcriptome mouse brain and archived human sample profiling over existing platforms, resolving potential cellular identity of low-abundance genes, finer tissue architecture, and capturing an epithelial-mesenchymal transition–associated signature for prognostic value. With expanded probe libraries, Decoder-FFPE-seq captures long noncoding and viral RNAs, revealing their spatial coregulatory networks with messenger RNAs in oral squamous cell carcinomas (OSCCs). In an OSCC immunotherapy cohort, two CD8 + T cell subpopulations were respectively identified in pre- and postchemoimmunotherapy samples, potentially linked to treatment response. Decoder-FFPE-seq establishes a robust, high-resolution, and accessible framework for sensitive ST profiling of archival tissues in fundamental and translational studies.
Authors
- Lingling Wu (ORCID: https://orcid.org/0000-0001-8738-0357)
- Yiwei Meng (ORCID: https://orcid.org/0000-0003-0112-1472)
- Jian Chen Fang (ORCID: https://orcid.org/0000-0002-6382-2680)
- Zhong Zheng (ORCID: https://orcid.org/0000-0002-3500-9510)
- Chaoyong James Yang (ORCID: https://orcid.org/0000-0002-2374-5342)
- Xing Fang (ORCID: https://orcid.org/0000-0001-9349-799X)
- Weixiong Shi (ORCID: https://orcid.org/0009-0007-3011-3208)
- Gang Chen (ORCID: https://orcid.org/0000-0003-3332-3511)
- Xuepeng Xiong (ORCID: https://orcid.org/0000-0003-3519-9745)
- Jiao Cao (ORCID: https://orcid.org/0000-0002-9596-5723)
- Yang Guo (ORCID: https://orcid.org/0009-0004-7942-8567)
- Yutong Liu
- Shanqing Huang
- Jing Zhang (ORCID: https://orcid.org/0000-0002-2193-0149)
- Jun Zeng (ORCID: https://orcid.org/0009-0002-3229-6718)
Institutions
- Shanghai Jiao Tong University (CN)
- Xiamen University (CN)
- Renji Hospital (CN)
- Wuhan University (CN)
Publication Details
- Journal
- Science Advances
- Published
- 2026-10-30
- DOI
- https://doi.org/10.1126/sciadv.ady5085
- Primary Topic
- Single-cell and spatial transcriptomics
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Innovative Research Team of High-level Local University in Shanghai
- National Natural Science Foundation of China
- Shanghai Rising-Star Program