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SpaMTP: integrative statistical analysis and visualization of spatial metabolomics and transcriptomics data

delete2026-07-31
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OA
AI
A
Andrew Causer
T
Tianyao Lu
J
Jurgen Kriel
J
Joel J D Moffet
C
Christopher C. J. Fitzgerald
A
Andrew Newman
H
Hani Vu
X
Xiao Tan
T
Tuan Vo
C
Cedric S. Cui
V
Vinod K. Narayana
J
James R. Whittle
S
Sarah A. Best
S
Saskia Freytag *
Q
Quan Nguyen *
DOI：10.1038/s41592-026-03140-8delete
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Abstract

Abstract

En 中文
Spatially resolved multimodal data enable the exploration of transcriptional, proteomic and metabolic regulation, yet analytical tools to integrate these spatial omics modalities, particularly spatial metabolomics, remain limited. We developed SpaMTP, an end-to-end framework that implements functions within a common Seurat architecture. It introduces analyses for metabolite annotation, joint clustering, enrichment tests, spatial alignment, multimodal integration, visualization and seamless software interoperability. Its utility is demonstrated across different biological systems. SpaMTP enables comprehensive joint analysis of spatial metabolomics and transcriptomics data.

Journal

Nature Methods cover
Nature Methods
IF:
32.1
Papers:
7.2K
Citations:
12.7W

Organization

Q
qimr berghofer
Scholars:
115
Papers: 38
Citations: 0
W
Walter and Eliza Hall Institute
Scholars:
9
Papers: 3
Citations: 0
T
the university of queensland
Scholars:
2.3K
Papers: 909
Citations: 0
U
university of melbourne
Scholars:
5.6W
Papers: 5.4W
Citations: 69
Cited Papers

Cited Papers

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