ArticleNature methods2025
Unified mass imaging maps the lipidome of vertebrate development.
Article in Nature methods, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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Who cites it
6 citing papers in PubMed.
- The lipidomic architecture of the mouse brain.Nature · 2026Article
- Spatial membrane lipid remodelling encodes epithelial lineage and state in human colon cancer.EBioMedicine · 2026Article
- Computational Mass Spectrometry Imaging in the Era of AI.Chemical reviews · 2026Review
- Spatial lipidomic combining DESI imaging and LESA mass spectrometry to evaluate metabolic alterations in obese zebrafish.Journal of lipid research · 2026Article
- SR-B1-Mediated Transplacental Transfer of Hydrophobic Toxicants Disrupts Fetal Development During Barriergenesis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Mass spectrometry imaging-based explainable machine learning reveals the biochemical landscapes of the mouse brain.Free neuropathology · 2026Article
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Authors and funding
15 authors.
Funding
Abstract
Embryo development entails the formation of anatomical structures with distinct biochemical compositions. Compared with the wealth of knowledge on gene regulation, our understanding of metabolic programs operating during embryogenesis is limited. Mass spectrometry imaging (MSI) has the potential to map the distribution of metabolites across embryo development. Here we established uMAIA, an analytical framework for the joint analysis of large MSI datasets, which enables the construction of multidimensional metabolomic atlases. Employing this framework, we mapped the four-dimensional (4D) distribution of over a hundred lipids at micrometric resolution in Danio rerio embryos. We discovered metabolic trajectories that unfold in concert with morphogenesis and revealed spatially organized biochemical coordination overlooked by bulk measurements. Interestingly, lipid mapping revealed unexpected distributions of sphingolipid and triglyceride species, suggesting their involvement in pattern establishment and organ development. Our approach empowers a new generation of whole-organism metabolomic atlases and enables the discovery of spatially organized metabolic circuits.
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Registered trials
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