ArticleProceedings of the National Academy of Sciences of the United States of America2022
Mass spectrometry imaging to explore molecular heterogeneity in cell culture.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.
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Who cites it
44 citing papers in PubMed.
- 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
- LC-MS/MS and high-spatial single-cell MSI reveal selective downregulation of PC(16:0_16:0) and PC(18:0_18:1) due to mPGES-1 knockdown in hormone-resistant prostate cancer cell line.Analytical and bioanalytical chemistry · 2026Article
- In situ MALDI mass spectrometry imaging of pharmaceuticals and metabolites in human teeth and jawbone.Analytical and bioanalytical chemistry · 2026Article
- Beyond the Fixed Charge: A New On-Tissue Derivatisation Strategy Employing Photoionisable Chromophores for Mass Spectrometry Imaging of Amino-Containing Metabolites.Angewandte Chemie (International ed. in English) · 2026Article
- Spatiotemporal metabolomics of tobacco leaves in response to Pseudomonas syringae infection.Plant physiology · 2026Article
- Enhancing IR-MALDESI MSI Spatial Resolution Through Beam Constriction With a Ring-Actuated Iris.Rapid communications in mass spectrometry : RCM · 2026Article
- Quantitative MALDI-MSI Workflow for Lipids with a LC-MS-Based Quality Control Pipeline.ACS measurement science au · 2026Article
- MALDI Mass Spectrometry Imaging in Alzheimer's Disease Lipidomics: Matrix Selection, Spatial Lipid Pathology and Emerging Analytical Strategies.International journal of molecular sciences · 2026Review
- MALDI-MSI-Guided Laser Capture Microdissection Coupled with MS for Integrated Spatial Multi-Omics in Mouse Brain.Life (Basel, Switzerland) · 2026Article
- Dissecting autonomous enzymatic variability in single cells.Nature communications · 2026Article
- New Analytical Technologies to Resolve, Interpret, and Understand Lipid Complexity.Annual review of analytical chemistry (Palo Alto, Calif.) · 2026Review
- Statistical Principles Define an Open-Source Differential Analysis Workflow for Mass Spectrometry Imaging Experiments with Complex Designs.bioRxiv : the preprint server for biology · 2026Article
- Deep-coverage single-cell metabolomics enabled by ion mobility-resolved mass cytometry.Nature methods · 2026Article
- Reference-guided computational framework identifies microenvironment metabolic subtypes and targets using pan-cancer single-cell datasets.Genome medicine · 2025Article
- Integrated single-cell transcriptomics and spatial metabolomics unveil cellular differentiation and ginsenosides biosynthesis inHorticulture research · 2025Article
- Spatial biology using single-cell mass spectrometry imaging and integrated microscopy.Nature communications · 2025Article
- Subcellular mass spectrometry imaging of lipids and nucleotides using transmission geometry ambient laser desorption and plasma ionisation.Nature communications · 2025Article
- Single-cell lipidomics: performance evaluation across four liquid chromatography mass spectrometry (LC-MS) systems.The Analyst · 2025Article
- Advancing biological understanding of cellular senescence with computational multiomics.Nature genetics · 2025Review
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Authors and funding
5 authors.
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Abstract
Molecular analysis on the single-cell level represents a rapidly growing field in the life sciences. While bulk analysis from a pool of cells provides a general molecular profile, it is blind to heterogeneities between individual cells. This heterogeneity, however, is an inherent property of every cell population. Its analysis is fundamental to understanding the development, function, and role of specific cells of the same genotype that display different phenotypical properties. Single-cell mass spectrometry (MS) aims to provide broad molecular information for a significantly large number of cells to help decipher cellular heterogeneity using statistical analysis. Here, we present a sensitive approach to single-cell MS based on high-resolution MALDI-2-MS imaging in combination with MALDI-compatible staining and use of optical microscopy. Our approach allowed analyzing large amounts of unperturbed cells directly from the growth chamber. Confident coregistration of both modalities enabled a reliable compilation of single-cell mass spectra and a straightforward inclusion of optical as well as mass spectrometric features in the interpretation of data. The resulting multimodal datasets permit the use of various statistical methods like machine learning-driven classification and multivariate analysis based on molecular profile and establish a direct connection of MS data with microscopy information of individual cells. Displaying data in the form of histograms for individual signal intensities helps to investigate heterogeneous expression of specific lipids within the cell culture and to identify subpopulations intuitively. Ultimately, t-MALDI-2-MSI measurements at 2-µm pixel sizes deliver a glimpse of intracellular lipid distributions and reveal molecular profiles for subcellular domains.
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