ArticleNature methods2021
SpaceM reveals metabolic states of single cells.
Article in Nature methods, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 197 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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.
Who cites it
197 citing papers in PubMed, 1 synthesis or guideline pooled it, 326 citations in OpenAlex.
- A multimodal atlas of tumour metabolism reveals the architecture of gene-metabolite covariation.Nature metabolism · 2023Pooled it
- MALDI mass spectrometry imaging across spatial scales in toxicology: tissue evidence, cellular heterogeneity, and emerging single-cell opportunities.Analytical and bioanalytical chemistry · 2026Review
- Single-cell mass spectrometry imaging: platform advances for multimodal spatial omics.Analytical and bioanalytical chemistry · 2026Review
- Advancing spatial-omics through Pyxis, vendor-neutral software for ion mobility mass spectrometry imaging data analysis.Analytical and bioanalytical chemistry · 2026Article
- Molecular mechanisms and pathogenesis of MASH.Nature · 2026Review
- Computational Mass Spectrometry Imaging in the Era of AI.Chemical reviews · 2026Review
- Peripheral GABA Signaling in Metabolic Adaptation and Maladaptation.International journal of molecular sciences · 2026Review
- PLANCK: super-multiplex optical imaging without labeling.bioRxiv : the preprint server for biology · 2026Article
- Dissecting autonomous enzymatic variability in single cells.Nature communications · 2026Article
- Spatial metabolomics: design, pitfalls and data interpretation.The EMBO journal · 2026Article
- Mass Spectrometry-Based Spatial Imaging of the Cochlea.Journal of the American Society for Mass Spectrometry · 2026Article
- New Analytical Technologies to Resolve, Interpret, and Understand Lipid Complexity.Annual review of analytical chemistry (Palo Alto, Calif.) · 2026Review
- Single-Cell Metabolic Profiling in a Glioblastoma Coculture Model Using AP-MALDI-Based Mass Spectrometry Imaging.Analytical chemistry · 2026Article
- Overcoming missing data in spatial metabolomics with machine learning imputation to accelerate downstream discovery.iScience · 2026Article
- MIMIC: a flexible pipeline to register and summarize IMC-MSI experiments.Communications biology · 2026Article
- A methodological approach for complex mixture aqueous solution analysis by ATR-FTIR spectroscopy.Chinese herbal medicines · 2026Article
- Review
- Single-Cell and Spatial Omics: Methods and Applications.MedComm · 2026Review
- Deep-coverage single-cell metabolomics enabled by ion mobility-resolved mass cytometry.Nature methods · 2026Article
- Spatial metabolomics and multiomics integration for breakthroughs in precision medicine for kidney disease.Nature reviews. Nephrology · 2026Review
137 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 3 institutions in 2 countries.
Funding
Abstract
A growing appreciation of the importance of cellular metabolism and revelations concerning the extent of cell-cell heterogeneity demand metabolic characterization of individual cells. We present SpaceM, an open-source method for in situ single-cell metabolomics that detects >100 metabolites from >1,000 individual cells per hour, together with a fluorescence-based readout and retention of morpho-spatial features. We validated SpaceM by predicting the cell types of cocultured human epithelial cells and mouse fibroblasts. We used SpaceM to show that stimulating human hepatocytes with fatty acids leads to the emergence of two coexisting subpopulations outlined by distinct cellular metabolic states. Inducing inflammation with the cytokine interleukin-17A perturbs the balance of these states in a process dependent on NF-κB signaling. The metabolic state markers were reproduced in a murine model of nonalcoholic steatohepatitis. We anticipate SpaceM to be broadly applicable for investigations of diverse cellular models and to democratize single-cell metabolomics.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.