SPTEdU-seq enables parallel optics-free newborn cell tracking and spatial total transcriptional dynamics in intact microenvironments

Understanding biological processes requires spatiotemporal mapping of proliferative and transcriptional dynamics. Current spatial transcriptomics methods capture only protein-coding transcripts and static snapshots, obscuring non-coding RNAs (ncRNAs) and dynamic events. We developed SPTEdU-seq, integrating spatial total transcriptomics with 5-ethynyl-2'-deoxyuridine tracking to co-profile gene expression and proliferation dynamics. SPTEdU-seq demonstrates ultrahigh sensitivity for coding and non-coding transcripts and for splicing isoforms, with single-molecule probe design eliminating optical imaging. Applied to developing and adult mouse brains, it revealed spatial lncRNA patterns, reconstructed developmental trajectories, and enabled spatiotemporal lineage tracing. In murine ischemic stroke, it mapped regeneration dynamics and identified an Igfbp5<sup>+</sup> astrocyte subtype within a pro-repair niche. In mouse and human renal tumors, it uncovered tumor-associated splicing and detected diagnostic 3p loss. By profiling newborn and resident cells in intact microenvironments, it unveiled previously inaccessible interaction networks. SPTEdU-seq thus establishes a powerful framework for investigating cell fate dynamics in regeneration, development, and cancer.

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Publication Details

Journal
Cell stem cell
Published
2026-03-01
DOI
https://doi.org/10.1016/j.stem.2026.03.001
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
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article

SPTEdU-seq enables parallel optics-free newborn cell tracking and spatial total transcriptional dynamics in intact microenvironments

Jizhong Mao, Haofu Niu, Danmei Jia, Renying Wang et al.
Cell stem cell
Single-cell and spatial transcriptomics
article

SPTEdU-seq enables parallel optics-free newborn cell tracking and spatial total transcriptional dynamics in intact microenvironments

Jizhong Mao, Haofu Niu, Danmei Jia, Renying Wang, Yuting Chen, Yimian Wu, Guoji Guo, Jianhui Chen, Maode Lai, Libin Zhou, Xinlian Zhang, Siqi Wang, Guodong Zhang, Jingjing Wang, Xiaoping Han, Peijing Zhang, Shuang Zhang
article en

Abstract

Understanding biological processes requires spatiotemporal mapping of proliferative and transcriptional dynamics. Current spatial transcriptomics methods capture only protein-coding transcripts and static snapshots, obscuring non-coding RNAs (ncRNAs) and dynamic events. We developed SPTEdU-seq, integrating spatial total transcriptomics with 5-ethynyl-2'-deoxyuridine tracking to co-profile gene expression and proliferation dynamics. SPTEdU-seq demonstrates ultrahigh sensitivity for coding and non-coding transcripts and for splicing isoforms, with single-molecule probe design eliminating optical imaging. Applied to developing and adult mouse brains, it revealed spatial lncRNA patterns, reconstructed developmental trajectories, and enabled spatiotemporal lineage tracing. In murine ischemic stroke, it mapped regeneration dynamics and identified an Igfbp5<sup>+</sup> astrocyte subtype within a pro-repair niche. In mouse and human renal tumors, it uncovered tumor-associated splicing and detected diagnostic 3p loss. By profiling newborn and resident cells in intact microenvironments, it unveiled previously inaccessible interaction networks. SPTEdU-seq thus establishes a powerful framework for investigating cell fate dynamics in regeneration, development, and cancer.

Cell stem cell
Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Peking Union Medical College Hospital (CN), Sir Run Run Shaw Hospital (CN), Institute for Stem Cell Biology and Regenerative Medicine (IN), Ningbo Medical Center Lihuili Hospital (CN), Ningbo University Affiliated Hospital (CN), First Affiliated Hospital Zhejiang University (CN), Zhejiang University (CN)
Zero hunger
Openalex Percentile: Top 8%
Single-cell and spatial transcriptomics
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