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<p>Obtaining single-cell spatial information remains a challenge in spatial transcriptomics. Here we develop SEU-TCA, a method that leverages transfer component analysis to improve single-cell spatial mapping accuracy. Application to multiple single-cell and spatial transcriptomic datasets shows superior performance in spatial deconvolution and cell mapping. Using SEU-TCA, we explore spatial gene expression and regulon activity during mouse gastrulation and identify anterior second heart field progenitors regulated by <i>Irx1</i>. Functional experiments reveal that <i>Irx1</i> deletion disrupts anterior second heart field development and causes ventricular septal defects, underscoring SEU-TCA’s potential for advancing developmental biology research.</p>

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Integration of single-cell and spatial transcriptomics by SEU-TCA reveals the spatial origin of early cardiac progenitors

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年6月10日

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  • Jingjing He,
  • Yi Yang,
  • Rui Jiang,
  • Yanying Zheng,
  • Xianfa Yang,
  • Xu Jiang,
  • Xin Xue,
  • Zhongzhou Yang,
  • Naihe Jing,
  • Hailong Cao,
  • Zhuojuan Luo,
  • Ke Wei,
  • Peng Xie,
  • Chengqi Lin

摘要

Obtaining single-cell spatial information remains a challenge in spatial transcriptomics. Here we develop SEU-TCA, a method that leverages transfer component analysis to improve single-cell spatial mapping accuracy. Application to multiple single-cell and spatial transcriptomic datasets shows superior performance in spatial deconvolution and cell mapping. Using SEU-TCA, we explore spatial gene expression and regulon activity during mouse gastrulation and identify anterior second heart field progenitors regulated by Irx1. Functional experiments reveal that Irx1 deletion disrupts anterior second heart field development and causes ventricular septal defects, underscoring SEU-TCA’s potential for advancing developmental biology research.