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

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.

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Publication Details

Journal
Genome biology
Published
2026-04-21
DOI
https://doi.org/10.1186/s13059-026-04069-z
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Qinghua Ran, S X, Junqing Xi, Jie Tang et al.
Genome biology
Single-cell and spatial transcriptomics
article

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

Qinghua Ran, S X, Junqing Xi, Jie Tang, Siyuan Huang, Ruibin Xi, Xiaochen Wang
article en

Abstract

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.

Genome biology
Shanghai Jiao Tong University (CN), Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Peking University (CN), Center for Life Sciences (CN), Carnegie Mellon University (US)
National Natural Science Foundation of China, Shanghai Municipal Education Commission, Shanghai Rising-Star Program, Fundamental Research Funds for the Central Universities, Chengdu Science and Technology Program
Openalex Percentile: Top 9%
Single-cell and spatial transcriptomics
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