Skip to content
DraconiticResearch
Search Sources API
181,713 studies31 sourcesUpdated 11 min ago
PreprintCC BY-NC-NDbioRxiv

Imaging-based spatial isoform transcriptomics resolves transcript diversity at cellular and subcellular resolution

  1. 1Université Côte d'Azur, Institut de Pharmacologie Moléculaire et Cellulaire (IPMC), CNRS UMR7275, Inserm U1323, Sophia-Antipolis, France

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.

Related

  1. Re-Analysis on GRCh38 with the MANE Select Transcript Resolves Previously Undetected Biallelic ODAD4 Variants in Primary Ciliary Dyskinesia
    Petra Pennekamp, Marina Praprotnik, Bernd Dworniczak +2
    CellsPeer-reviewedCC BY 4.0Full textGenetics & genomicsCrossrefEurope PMC
  2. IsoGraph resolves coordinated transcript choice and gene abundance in the aging human brain
    A. Bennett, E. K. Johnson, K. J. M. Benjamin
    bioRxivPreprintCC BYFull textBioinformatics & computational biologybioRxiv
  3. Why rescue-based transcript ranking can mislead: normalization displacement and shared-control coupling in perturbation transcriptomics
    H. M. Jamil, A. Gow
    bioRxivPreprintAll rights reservedFull textBioinformatics & computational biologybioRxiv
  4. Modulator Resolves Transcript-, Allele-, and Condition-associated RNA Modification Differences from Direct RNA Sequencing
    T. M. Nelson, M. Goneos, C. J. Aufgebauer +8
    bioRxivPreprintCC BYFull textBioinformatics & computational biologybioRxiv
  5. Kintsugi maps nucleus-poor RNA compartments in subcellular spatial transcriptomics
    C. Yang, X. Zhang, J. Chen
    bioRxivPreprintCC BY-NC-NDFull textBioinformatics & computational biologybioRxiv
BibTeX
@misc{mcandrew2026imagingbased,
  title = {{Imaging-based spatial isoform transcriptomics resolves transcript diversity at cellular and subcellular resolution}},
  author = {E. McAndrew and M. Fierville and M. Gautier-Isola and M. Pignol and M.-J. Arguel and H. Cadis and R. Barres and B. Mari and P. BARBRY and K. Lebrigand},
  howpublished = {bioRxiv},
  year = {2026},
  month = sep,
  doi = {10.64898/2026.09.22.753429},
  url = {https://www.biorxiv.org/content/10.64898/2026.09.22.753429v1},
  note = {CC BY-NC-ND},
}
RIS
TY  - UNPB
TI  - Imaging-based spatial isoform transcriptomics resolves transcript diversity at cellular and subcellular resolution
AU  - E. McAndrew
AU  - M. Fierville
AU  - M. Gautier-Isola
AU  - M. Pignol
AU  - M.-J. Arguel
AU  - H. Cadis
AU  - R. Barres
AU  - B. Mari
AU  - P. BARBRY
AU  - K. Lebrigand
PY  - 2026
DA  - 2026/09/22
PB  - bioRxiv
DO  - 10.64898/2026.09.22.753429
UR  - https://www.biorxiv.org/content/10.64898/2026.09.22.753429v1
AB  - 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.
ER  -