ArticleAnalytical chemistry2022
'On the Spot' Digital Pathology of Breast Cancer Based on Single-Cell Mass Spectrometry Imaging.
Article in Analytical chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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.
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Who cites it
30 citing papers in PubMed, 55 citations in OpenAlex.
- Dry Deposition Strategies for MALDI-MS Imaging: Principles, Advances and Emerging Applications.Analytical science advances · 2026Review
- Ion Mobility-Mass Spectrometry Imaging: Advances in Biomedical Research.Biotech (Basel (Switzerland)) · 2025Review
- MALDI matrix sublimation versus spray coating in the FluoMALDI imaging pipeline.Analytica chimica acta · 2025Article
- Development and Modification of Ion Mobility Mass Spectrometry Instrumentation for Enhanced Analysis of Biological Molecules.Journal of the American Society for Mass Spectrometry · 2025Review
- Spatial biology using single-cell mass spectrometry imaging and integrated microscopy.Nature communications · 2025Article
- Evaluating rapid evaporative ionization mass spectrometry profiles of human breast cancer cells using a 3D in vitro assay.Analytical and bioanalytical chemistry · 2025Article
- Mass Spectrometry Imaging.Analytical chemistry · 2025Review
- Delineation of Subcellular Molecular Heterogeneity in Single Cells via Ultralow-Flow-Rate Desorption Electrospray Ionization Mass Spectrometry Imaging.Analytical chemistry · 2025Article
- Factorial-Design-Based Optimization of a Commercial MALDI-2 timsTOF Mass Spectrometer for Lipid Analysis.Journal of the American Society for Mass Spectrometry · 2025Article
- A magnetic resonance image-based deep learning radiomics nomogram for hepatocyte cytokeratin 7 expression: application to predict cholestasis progression in children with pancreaticobiliary maljunction.Pediatric radiology · 2025Article
- Molecular Profiling of Glioblastoma Patient-Derived Single Cells Using Combined MALDI-MSI and MALDI-IHC.Analytical chemistry · 2025Article
- Mass-Guided Single-Cell MALDI Imaging of Low-Mass Metabolites Reveals Cellular Activation Markers.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- MALDI MSI Protocol for Spatial Bottom-Up Proteomics at Single-Cell Resolution.Journal of proteome research · 2024Article
- Single Cell MALDI-MSI Analysis of Lipids and Proteins within a Replicative Senescence Fibroblast Model.Journal of the American Society for Mass Spectrometry · 2024Article
- Processing Next-Generation Mass Spectrometry Imaging Data: Principal Component Analysis at Scale.Journal of the American Society for Mass Spectrometry · 2024Article
- Single-Cell Lipidomics: An Automated and Accessible Microfluidic Workflow Validated by Capillary Sampling.Analytical chemistry · 2024Article
- Deciphering metabolic crosstalk in context: lessons from inflammatory diseases.Molecular oncology · 2024Review
- Mass spectrometry imaging methods for visualizing tumor heterogeneity.Current opinion in biotechnology · 2024Review
- Multiplex protein imaging in tumour biology.Nature reviews. Cancer · 2024Review
- Quantitative mass spectrometry imaging: therapeutics & biomolecules.Chemical communications (Cambridge, England) · 2024Review
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 2 countries.
Funding
Abstract
The molecular pathology of breast cancer is challenging due to the complex heterogeneity of cellular subtypes. The ability to directly identify and visualize cell subtype distribution at the single-cell level within a tissue section enables precise and rapid diagnosis and prognosis. Here, we applied mass spectrometry imaging (MSI) to acquire and visualize the molecular profiles at the single-cell and subcellular levels of 14 different breast cancer cell lines. We built a molecular library of genetically well-characterized cell lines. Multistep processing, including deep learning, resulted in a breast cancer subtype, the cancer's hormone status, and a genotypic recognition model based on metabolic phenotypes with cross-validation rates of up to 97%. Moreover, we applied our single-cell-based recognition models to complex tissue samples, identifying cell subtypes in tissue context within seconds during measurement. These data demonstrate "on the spot" digital pathology at the single-cell level using MSI, and they provide a framework for fast and accurate high spatial resolution diagnostics and prognostics.
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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.