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<p>We propose a computational framework for spatial niche analysis (SpaNiche) in spatial transcriptomics data to uncover colocalization patterns and infer potential ligand-receptor interactions. SpaNiche leverages graph-regularized joint non-negative matrix factorization to integrate information from cell abundance and ligand-receptor expression, identifying spatial colocalization patterns among cell types while providing insights into associated ligand-receptor interactions. Besides, SpaNiche employs consensus clustering to define "ecotypes", enhancing its utility in multi-sample spatial transcriptomics datasets. We investigate microenvironmental ecotypes in colorectal cancer, prostate cancer and cerebral cortex in early Alzheimer's disease, highlighting the broad applicability in dissecting complex colocalization patterns within spatial tissue microenvironments.</p>

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SpaNiche: spatial niche analysis to explore colocalization patterns and cellular interactions in spatial transcriptomics data

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年4月21日

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  • Siyuan Huang,
  • Qinghua Ran,
  • Junjie Tang,
  • Xiaochen Wang,
  • Junqing Xi,
  • Shiyang Ma,
  • Ruibin Xi

摘要

We propose a computational framework for spatial niche analysis (SpaNiche) in spatial transcriptomics data to uncover colocalization patterns and infer potential ligand-receptor interactions. SpaNiche leverages graph-regularized joint non-negative matrix factorization to integrate information from cell abundance and ligand-receptor expression, identifying spatial colocalization patterns among cell types while providing insights into associated ligand-receptor interactions. Besides, SpaNiche employs consensus clustering to define "ecotypes", enhancing its utility in multi-sample spatial transcriptomics datasets. We investigate microenvironmental ecotypes in colorectal cancer, prostate cancer and cerebral cortex in early Alzheimer's disease, highlighting the broad applicability in dissecting complex colocalization patterns within spatial tissue microenvironments.