PitNET tissue deconvolution: tracing normal tissue residues and immune dynamics
This study establishes snRNA-seq-based deconvolution as a robust strategy for reconstructing cellular composition in PitNETs, mitigating the impact of histological contamination and improving the reliability of downstream transcriptomic analyses.
Authors
- Daniele Puggina
- Luca Denaro (ORCID: https://orcid.org/0000-0002-2529-6149)
- Gianluca Occhi (ORCID: https://orcid.org/0000-0003-4065-4677)
- Giovanni Vazza (ORCID: https://orcid.org/0000-0001-7900-9398)
- Gabriele Sales (ORCID: https://orcid.org/0000-0003-2078-5661)
- Serena Avallone (ORCID: https://orcid.org/0009-0007-0865-0381)
- Mattia Dalle Nogare (ORCID: https://orcid.org/0000-0001-9419-830X)
- Luna Picello (ORCID: https://orcid.org/0009-0000-9725-4303)
Institutions
- University of Padua (IT)
Publication Details
- Journal
- Frontiers in Endocrinology
- Published
- 2025-11-27
- DOI
- https://doi.org/10.3389/fendo.2025.1674625
- Primary Topic
- Single-cell and spatial transcriptomics
- Type
- article
- Field-Weighted Citation Impact
- 0.00