Steller: a high-resolution platform for spatial clonal tracing of mammalian brain development
Zhuxia Li, Ce WangiD, Chipeng GuoiD, Yuanxin LiaoiD, Cheng Chen, Qiaorui XingiD, Weike PeiiD, Guangdun PengiD
Abstract
Resolving both lineage history and spatial position at single-cell resolution is essential for understanding how tissue assemble, yet simultaneously interrogation of both dimensions remains technically challenging. Here, we present Steller (Spatio-temporal cell lineage tracker), an integrated experimental and computational framework that overcomes the sensitivity bottleneck limiting lineage barcode detection in high-resolution spatial transcriptomics (ST). By co-depositing capture probes alongside conventional poly(T) oligonucleotides on high-density spatial arrays, Steller achieves targeted enrichment of lineage barcodes at spatial single cell resolution. Applied to clonally labeled embryonic day 12.5 (E12.5) mouse forebrain development harvested at postnatal day 4 (P4), Steller increased the proportion of barcode-detectable cells and recovered higher clonal diversity compared with poly(T) chip. Leveraging this enhanced sensitivity, we resolved distinct spatial clonal architectures across three forebrain regions: horizontal or radial-to-horizontal transitions in hippocampal pyramidal neurons, dorsoventrally restricted yet multi-nuclei spread in thalamus, and fate-restricted spiny projection neuron lineages. Steller establishes a generalizable strategy for lineage-enhanced spatial profiling compatible with existing high-resolution spatial transcriptomics platforms and adaptable to diverse biologic process, providing a framewrok for investigating lineage-dependent tissue organization. HighlightsO_LISteller integrates targeted lineage-barcode enrichment with high-resolution spatial transcriptomics C_LIO_LISteller substantially improves clonal detection sensitivity at single-cell resolution C_LIO_LISteller reveals region-specific spatial clonal architectures across the developing mouse forebrain C_LI
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 0
- 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
- Cell types and clonal relations in the mouse brain revealed by single-cell and spatial transcriptomics
Michael Ratz, Leonie von Berlin, … Jonas Frisén·bioRxiv·Aug 31, 2021
- Spatial transcriptome of developmental mouse brain reveals temporal dynamics of gene expressions and heterogeneity of the claustrum
Yuichiro Hara, Takuma Kumamoto, … Chiaki Ohtaka‐Maruyama·bioRxiv·Apr 12, 2023
- Spatial transcriptomics map of the embryonic mouse brain: a tool to explore neurogenesis
Barbara Di Marco, Javier Vázquez-Marín, … Julieta Alfonso·Biology OpenPeer-reviewed·Oct 15, 2023
- Mapping lineage-resolved scRNA-seq data with spatialtranscriptomics using TemSOMap
Xinhai Pan, Alejandro Danies-Lopez, Xiuwei Zhang·bioRxiv·Oct 31, 2024
- Spatial Atlas of the Mouse Central Nervous System at Molecular Resolution
Hailing Shi, Yichun He, … Xiao Wang·NaturePeer-reviewed·Sep 27, 2023
- SpaceBar enables clone tracing in spatial transcriptomic data
Grant Kinsler, Caitlin Fagan, … Yael Heyman·bioRxiv·Feb 10, 2025