ArticleAnalytica chimica acta2019
Integrating a generalized data analysis workflow with the Single-probe mass spectrometry experiment for single cell metabolomics.
Article in Analytica chimica acta, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed.
- Living single-cell metabolomicsChemical science · 2026Review
- Advanced technologies of single-cell metabolomics unveiling cellular metabolic heterogeneity for biological and biomedical research.Journal of food and drug analysis · 2026Review
- Sample Preparation for Single Cell Mass Spectrometry Metabolomics Studies: Combined Cell Washing, Quenching, Drying, and Storage.Journal of visualized experiments : JoVE · 2025Article
- MMEASE: enhanced analytical workflow for single-cell metabolomics.Nucleic acids research · 2025Article
- Developing a Cell Quenching Method to Facilitate Single Cell Mass Spectrometry Metabolomics Studies.JACS Au · 2025Article
- Exploring Single-Probe Single-Cell Mass Spectrometry: Current Trends and Future Directions.Analytical chemistry · 2025Review
- Unravelling lipid heterogeneity: Advances in single-cell lipidomics in cellular metabolism and disease.BBA advances · 2025Review
- MetaPhenotype: A Transferable Meta-Learning Model for Single-Cell Mass Spectrometry-Based Cell Phenotype Prediction Using Limited Number of Cells.Analytical chemistry · 2024Article
- MassLite: An integrated python platform for single cell mass spectrometry metabolomics data pretreatment with graphical user interface and advanced peak alignment method.Analytica chimica acta · 2024Article
- Single Cell mass spectrometry: Towards quantification of small molecules in individual cells.Trends in analytical chemistry : TRAC · 2024Article
- Mass Spectrometry-based Single-Cell Lipidomics: Advancements, Challenges, and the Path Forward.Trends in analytical chemistry : TRAC · 2023Article
- Quantifying Cell Heterogeneity and Subpopulations Using Single Cell Metabolomics.Analytical chemistry · 2023Article
- Metabolomics studies of cell-cell interactions using single cell mass spectrometry combined with fluorescence microscopy.Chemical science · 2022Article
- Single cell mass spectrometry studies reveal metabolomic features and potential mechanisms of drug-resistant cancer cell lines.Analytica chimica acta · 2022Article
- Single cell mass spectrometry analysis of drug-resistant cancer cells: Metabolomics studies of synergetic effect of combinational treatment.Analytica chimica acta · 2022Article
- Spray-Capillary-Based Capillary Electrophoresis Mass Spectrometry for Metabolite Analysis in Single Cells.Analytical chemistry · 2021Article
- Single cell metabolomics using mass spectrometry: Techniques and data analysis.Analytica chimica acta · 2021Review
- The Development of Single-Cell Metabolism and Its Role in Studying Cancer Emergent Properties.Frontiers in oncology · 2021Review
- Metabolomics Data Treatment: Basic Directions of the Full Process.Advances in experimental medicine and biology · 2021Article
- Machine Learning Applications for Mass Spectrometry-Based Metabolomics.Metabolites · 2020Review
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
We conducted single cell metabolomics studies of live cancer cells through online single cell mass spectrometry (SCMS) experiments combined with a generalized comprehensive data analysis workflow. The SCMS experiments were carried out using the Single-probe device coupled with a mass spectrometer to measure molecular profiles of cells in response to two mitotic inhibitors, taxol and vinblastine, under a series of treatment conditions. SCMS metabolomic data were analyzed using a comprehensive approach, including data pre-treatment, visualization, statistical analysis, machine learning, and pathway enrichment analysis. For comparative studies, traditional liquid chromatography-MS (LC-MS) experiments were conducted using lysates prepared from bulk cell samples. Metabolomic profiles of single cells were visualized through Partial Least Square-Discriminant Analysis (PLS-DA), and the phenotypic biomarkers associated with emerging phenotypes induced by drug treatment were discovered and compared through a series of rigorous statistical analysis. Species of interest were further identified at both the single cell and population levels. In addition, four biological pathways potentially involved in the drug treatment were determined through pathway enrichment analysis. Our work demonstrated the capability of comprehensive pipeline studies of single cell metabolomics. This method can be potentially applied to broader types of SCMS datasets for future pharmaceutical and chemotherapeutic research.
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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.