Imaging-based spatial isoform transcriptomics resolves transcript diversity at cellular and subcellular resolution
Eamon M. McAndrewiD, Morgane FiervilleiD, Marine Gautier‐IsolaiD, Marie PignoliD, Marie‐Jeanne ArgueliD, Hugo Cadis, Romain BarrèsiD, Bernard P. MariiD, Pascal BarbryiD, Kévin LebrigandiD
Abstract
Spatial transcriptomics has transformed our understanding of tissue organization, yet current high-throughput approaches remain largely confined to a gene-centric paradigm, precluding systematic characterization of spatially resolved transcript isoform diversity. Here, we introduce imaging-based spatial isoform transcriptomics (iSiT), a framework enabling simultaneous large-scale gene expression and targeted transcript isoform profiling on the commercial Xenium platform. iSiT resolves alternative splicing events that alter internal transcript structure at cellular and subcellular resolution using a single junction-specific probe per target. To facilitate broader adoption, we developed ProbeHarbour, an open-source toolkit for the design, characterization and management of isoform-specific probes. We demonstrate iSiT in the postnatal mouse brain by combining the Prime 5K gene-level panel with isoform-specific detection of 45 synaptogenesis-associated genes. By extending spatial transcriptomics beyond gene-level measurements, iSiT provides a scalable and readily accessible framework for investigating spatial isoform regulation in development and disease.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 1
- Organism
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- The spatial landscape of gene expression isoforms in tissue sections
Kévin Lebrigand, Joseph Bergenstråhle, … Joakim Lundeberg·Nucleic Acids ResearchPeer-reviewed·Feb 24, 2023
- Whole-transcriptome-scale and isoform-resolved spatial imaging of single cells in complex tissues
Limor Cohen, Aaron R. Halpern, … Xiaowei Zhuang·CellPeer-reviewed·Jul 16, 2026
- A computational framework for mapping isoform landscape and regulatory mechanisms from spatial transcriptomics data
Jiayu Su, Yiming Qu, … Raúl Rabadán·bioRxiv·May 2, 2025
- Allos: an integrated Python toolkit for isoform-level single-cell and spatial in-situ transcriptomics
Eamon M. McAndrew, Anna Diamant, … Kévin Lebrigand·bioRxiv·Mar 26, 2026
- Improved in situ sequencing for high-resolution targeted spatial transcriptomic analysis in tissue sections
Xinbin Tang, Jiayu Chen, … Rongqin Ke·Journal of genetics and genomics/Journal of Genetics and GenomicsPeer-reviewed·Feb 15, 2023
- Spatial isoform sequencing at sub-micrometer single-cell resolution reveals novel patterns of spatial isoform variability in brain cell types
Lieke Michielsen, Andrey D. Prjibelski, … Hagen Tilgner·bioRxiv·Jun 25, 2025