Optics-free spatial genomics for mapping mammalian brain aging by IRISeq
Spatial transcriptomics has emerged as a transformative approach for in situ mapping of cellular heterogeneity and interactions, yet existing methods often compromise throughput, cost and tissue coverage. Here we introduce Imaging Reconstruction using Indexed Sequencing (IRISeq): an optics-free, cost-effective platform that leverages spatial interaction mapping by indexed sequencing to profile tissues at adjustable sizes and resolutions (5-50 µm). We applied IRISeq to map gene expression across more than 70 coronal sections from both adult and aged mouse brains, including wild-type and two lymphocyte-deficient models (Rag1 and Prkdc mutants) and generated more than 460,000 spatial transcriptome profiles. Our integrated analysis with 783,264 single-cell transcriptomes revealed region-specific aging signatures that are lymphocyte dependent, notably a downregulation of interferon signaling and inflammation in ventricular regions upon lymphocyte depletion, alongside mutant-specific upregulation of senescence pathways. Furthermore, lymphocyte deficiency was linked to preserved abundance of ependymal cells that line the brain's ventricles and to distinct microglial state dynamics, highlighting a key role for lymphocytes in driving inflammatory processes during brain aging. Overall, IRISeq provides a high-throughput and cost-effective solution for spatially resolved transcriptomic profiling, opening new avenues for elucidating region-specific cellular mechanisms underlying aging and identifying potential therapeutic targets to preserve brain homeostasis.
Authors
- Junyue Cao (ORCID: https://orcid.org/0000-0003-4097-489X)
- Ahmet Doymaz (ORCID: https://orcid.org/0000-0003-4485-2742)
- Abdulraouf Abdulraouf (ORCID: https://orcid.org/0000-0003-4452-4781)
- Weirong Jiang
- Samuel Isakov
- Tiffany Merlinsky (ORCID: https://orcid.org/0000-0001-8983-2425)
- Tanvir Raihan
- Andrew Liao
- Zehao Zhang (ORCID: https://orcid.org/0000-0002-7568-5775)
- Ziyu Lu (ORCID: https://orcid.org/0000-0003-4321-2727)
- Zihan Xu (ORCID: https://orcid.org/0009-0008-9317-9279)
- Wei Zhou (ORCID: https://orcid.org/0000-0003-4236-4091)
Institutions
- Tri-Institutional PhD Program in Chemical Biology (US)
- Rockefeller University (US)
Publication Details
- Journal
- Nature Neuroscience
- Published
- 2026-05-12
- DOI
- https://doi.org/10.1038/s41593-026-02293-1
- Primary Topic
- Single-cell and spatial transcriptomics
- Type
- article
- Field-Weighted Citation Impact
- 0.00