Evidence map›Paper›PMID 42015285›Full record

ArticleGenome biology2026

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

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

Abstract read
In one paragraph

Article in Genome biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Siyuan Huang *Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, 100871, China.
Qinghua Ran *Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, 100871, China.
Junjie Tang *Ray and Stephanie Lane Computational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA.
Xiaochen Wang *School of Mathematical Sciences, Peking University, Beijing, 100871, China.
Junqing XiDepartment of Interventional Therapy, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Shiyang MaInstitute of Clinical Medicine, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China. mashiyang1991@sjtu.edu.cn.
Ruibin XiAcademy for Advanced Interdisciplinary Studies, Peking University, Beijing, 100871, China. ruibinxi@math.pku.edu.cn.

Funding

Chengdu Municipal Science and Technology Program 2024-YF05-01784-SNClinical Research Project of Shanghai Municipal Health Commission in Health Industry 20234Y0285Fundamental and Interdisciplinary Disciplines Breakthrough Plan of the Ministry of Education of China JYB2025XDXM118Fundamental Research Funds for the Central Universities YG2023QNA01National Key Research and Development Program of China 2023YFC3603200National Key Research and Development Program of China 2024YFF0507404National Natural Science Foundation of China 12425110Shanghai Municipal Commission of Education JWAIYB-3Shanghai Rising-Star Program 23YF1421000Sichuan Science and Technology Program 2025YFHZ0069
6 · The paper itself

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.

Indexed as

Spatial TranscriptomicsTranscriptomeAlzheimer DiseaseCerebral CortexColorectal NeoplasmsHumansProstatic Neoplasms

Identifiers

PMID42015285
PMCPMC13231777

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.