ArticleAnalytical chemistry2017
Single Cell Profiling Using Ionic Liquid Matrix-Enhanced Secondary Ion Mass Spectrometry for Neuronal Cell Type Differentiation.
Article in Analytical chemistry, 2017. 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.
The trial behind it
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Who cites it
30 citing papers in PubMed, 74 citations in OpenAlex.
- TOF-SIMS Imaging of Intact Lipids in Biological Tissue with Enhanced Ion Intensity by Ionic Liquid.ACS omega · 2026Article
- Characterization of the Lipidome of Neurons in Mouse Brain Nuclei Using Imaging Mass Spectrometry.Analytical chemistry · 2026Article
- MetaPhenotype: A Transferable Meta-Learning Model for Single-Cell Mass Spectrometry-Based Cell Phenotype Prediction Using Limited Number of Cells.Analytical chemistry · 2024Article
- The development of the occurrence and metastasis of breast cancer by single-cell sequencing.Cancer cell international · 2024Review
- Emerging Functional Connections Between Metabolism and Epigenetic Remodeling in Neural Differentiation.Molecular neurobiology · 2024Review
- Multiplex Profiling of Biomarker and Drug Uptake in Single Cells Using Microfluidic Flow Cytometry and Mass Spectrometry.ACS nano · 2024Article
- Analytical Techniques for Single-Cell Biochemical Assays of Lipids.Annual review of biomedical engineering · 2023Review
- Metabolomics and modelling approaches for systems metabolic engineering.Metabolic engineering communications · 2022Review
- Profiling 26,000 Aplysia californica neurons by single cell mass spectrometry reveals neuronal populations with distinct neuropeptide profiles.The Journal of biological chemistry · 2022Article
- Towards high throughput and high information coverage: advanced single-cell mass spectrometric techniques.Analytical and bioanalytical chemistry · 2022Review
- When cancer drug resistance meets metabolomics (bulk, single-cell and/or spatial): Progress, potential, and perspective.Frontiers in oncology · 2022Review
- High-Throughput Single-Cell Mass Spectrometry Reveals Abnormal Lipid Metabolism in Pancreatic Ductal Adenocarcinoma.Angewandte Chemie (International ed. in English) · 2021Article
- The limitless applications of single-cell metabolomics.Current opinion in biotechnology · 2021Review
- Spatially Resolved Mass Spectrometry at the Single Cell: Recent Innovations in Proteomics and Metabolomics.Journal of the American Society for Mass Spectrometry · 2021Review
- Lipidomic profiling of single mammalian cells by infrared matrix-assisted laser desorption electrospray ionization (IR-MALDESI).Analytical and bioanalytical chemistry · 2020Article
- Single-Cell Classification Using Mass Spectrometry through Interpretable Machine Learning.Analytical chemistry · 2020Article
- Spatial Metabolomics and Imaging Mass Spectrometry in the Age of Artificial Intelligence.Annual review of biomedical data science · 2020Article
- Analytical challenges of shotgun lipidomics at different resolution of measurements.Trends in analytical chemistry : TRAC · 2019Article
- Exploring the Fundamental Structures of Life: Non-Targeted, Chemical Analysis of Single Cells and Subcellular Structures.Angewandte Chemie (International ed. in English) · 2019Review
- Secondary-Ion Mass Spectrometry Images Cardiolipins and Phosphatidylethanolamines at the Subcellular Level.Angewandte Chemie (International ed. in English) · 2019Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
A high-throughput single cell profiling method has been developed for matrix-enhanced-secondary ion mass spectrometry (ME-SIMS) to investigate the lipid profiles of neuronal cells. Populations of cells are dispersed onto the substrate, their locations determined using optical microscopy, and the cell locations used to guide the acquisition of SIMS spectra from the cells. Up to 2,000 cells can be assayed in one experiment at a rate of 6 s per cell. Multiple saturated and unsaturated phosphatidylcholines (PCs) and their fragments are detected and verified with tandem mass spectrometry from individual cells when ionic liquids are employed as a matrix. Optically guided single cell profiling with ME-SIMS is suitable for a range of cell sizes, from Aplysia californica neurons larger than 75 μm to 7-μm rat cerebellar neurons. ME-SIMS analysis followed by t-distributed stochastic neighbor embedding of peaks in the lipid molecular mass range (m/z 700-850) distinguishes several cell types from the rat central nervous system, largely based on the relative proportions of four dominant lipids, PC(32:0), PC(34:1), PC(36:1), and PC(38:5). Furthermore, subpopulations within each cell type are tentatively classified consistent with their endogenous lipid ratios. The results illustrate the efficacy of a new approach to classify single cell populations and subpopulations using SIMS profiling of lipid and metabolite contents. These methods are broadly applicable for high throughput single cell chemical analyses.
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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.