Evidence map›Paper›PMID 42120609›Full record

ArticleNature neuroscience2026

Optics-free spatial genomics for mapping mammalian brain aging by IRISeq.

Abdulraouf Abdulraouf, Weirong Jiang, Zehao Zhang, Zihan Xu, Ziyu Lu, Tiffany Merlinsky, Andrew Liao, Ahmet Doymaz, Samuel Isakov, Tanvir Raihan and 2 more

Abstract read
In one paragraph

Article in Nature neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. A Guide for Spatial Omics Technologies: Innovation, Evaluation, and Application.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Abdulraouf Abdulraouf *Laboratory of Single Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA.
Weirong Jiang *Laboratory of Single Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA.
Zehao ZhangLaboratory of Single Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA.ORCID http://orcid.org/0000-0002-7568-5775
Zihan XuLaboratory of Single Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA.ORCID http://orcid.org/0009-0008-9317-9279
Ziyu LuLaboratory of Single Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA.ORCID http://orcid.org/0000-0003-4321-2727
Tiffany MerlinskyThe Tri-Institutional M.D-Ph.D Program, New York, NY, USA.
Andrew LiaoLaboratory of Single Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA.
Ahmet DoymazLaboratory of Single Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA.ORCID http://orcid.org/0000-0003-4485-2742
Samuel IsakovLaboratory of Single Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA.
Tanvir RaihanLaboratory of Single Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA.
Wei ZhouLaboratory of Single Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA. wzhou@rockefeller.edu.ORCID http://orcid.org/0000-0003-4236-4091
Junyue CaoLaboratory of Single Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA. jcao@rockefeller.edu.ORCID http://orcid.org/0000-0003-4097-489X

Funding

Center for Integrated Cellular Analysis - Valeria A. Sanchez EstradaRM1HG011014 · NHGRI · NEW YORK GENOME CENTER · PI LANDAU, DAN, SATIJA, RAHUL · 2020 to 2025
$22.1M
Weill Cornell/Rockefeller/Sloan Kettering MST ProgramT32GM152349 · NIGMS · WEILL MEDICAL COLL OF CORNELL UNIV · PI KATHARINE C HSU · 2024 to 2026
$6.6M
Single cell dynamics on a whole organism scaleDP2HG012522 · NHGRI · ROCKEFELLER UNIVERSITY · PI CAO, JUNYUE · 2021 to 2024
$2.5M
NHGRI NIH HHS DP2 HG012522NHGRI NIH HHS RM1 HG011014NIGMS NIH HHS T32 GM152349U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging) 1R01AG076932U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging) RM1HG011014
6 · The paper itself

Abstract

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.

Indexed as

AgingBrainBrain MappingGenomicsAnimalsLymphocytesMiceMice, Inbred C57BLSingle-Cell Gene Expression AnalysisSpatial TranscriptomicsTranscriptome

Identifiers

PMID42120609
PMCPMC13337494

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.