A laser capture microdissection-based method for high-sensitivity transcriptomics from archived FFPE tissue slides with single-cell resolution using LCM-FFPEseq
Abstract Understanding gene expression within its spatial context is essential for unravelling biological processes. Laser Capture Microdissection (LCM) has emerged as a transformative technology, enabling targeted isolation of individual cells or regions from tissue sections while preserving spatial context. However, its application to formalin-fixed, paraffin-embedded (FFPE) tissues has been limited by RNA degradation, leaving the vast repository of clinical FFPE samples underutilized. To address this, we introduce LCM-FFPEseq, a novel method combining LCM with the advanced Smart-seq3xpress protocol and FFPE-specific adaptations for spatial transcriptomics of FFPE sections. Unlike traditional protocols requiring thousands of cells to generate high-quality libraries, LCM-FFPEseq achieves high sensitivity, reproducibility, and transcript coverage. With as few as 30 FFPE-embedded K562 cells and Sertoli cells, we detected over 14,000 protein-coding genes per sample, with no substantial gains when a higher number of cells were isolated. Even individual LCM-isolated cells yielded an average of 7,353 or 6,490 protein-coding genes per K562 or Sertoli single cell, respectively. To demonstrate its clinical utility, we applied LCM-FFPEseq to archived testicular FFPE samples from transgender females receiving gender-affirming hormone therapy. Transcriptomic profiling of isolated seminiferous tubules revealed tubular hyalinization to be associated with greater upregulation of extracellular matrix remodelling and inflammatory pathways, alongside stronger downregulation of spermatogenesis-associated pathways. These findings suggest that testicular fibrosis and/or tubular hyalinization may contribute to germ cell loss following inappropriate hormonal exposure. By enabling high-resolution transcriptomics in archived FFPE samples, LCM-FFPEseq unlocks new possibilities for investigating rare cell types, spatial heterogeneity, and therapy-induced tissue remodelling in vast FFPE repositories.
Authors
- Ward De Spiegelaere (ORCID: https://orcid.org/0000-0003-2097-8439)
- Julie Van De Velde
- Koen Van de Vijver (ORCID: https://orcid.org/0000-0002-2026-9790)
- Hannes Syryn (ORCID: https://orcid.org/0000-0002-0914-2676)
- Dieter Deforce (ORCID: https://orcid.org/0000-0002-0635-661X)
- Koen Deserranno (ORCID: https://orcid.org/0000-0003-0364-1957)
- Filip Van Nieuwerburgh (ORCID: https://orcid.org/0000-0001-8815-5485)
- Danique Berrevoet
- Martine Cools (ORCID: https://orcid.org/0000-0002-9552-4899)
- Elise Callens
- Henri Couckuyt
- Guillaume Cattebeke
- Aaron Verplancke
Institutions
- HOGENT University of Applied Sciences and Arts (BE)
- Ghent University Hospital (BE)
- Ghent University (BE)
- Cancer Research Institute Ghent (BE)
Publication Details
- Journal
- Scientific Reports
- Published
- 2026-09-01
- DOI
- https://doi.org/10.1038/s41598-026-69088-z
- Primary Topic
- Single-cell and spatial transcriptomics
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Universitair Ziekenhuis Gent
- Universiteit Gent
- Bijzonder Onderzoeksfonds UGent