ArticleNature communications2024
In-depth organic mass cytometry reveals differential contents of 3-hydroxybutanoic acid at the single-cell level.
Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
15 citing papers in PubMed.
- "Nano-filter"-integrated AIMS with machine learning: direct exhaled breath analysis for lung cancer screening.Chemical science · 2026Article
- Imaging-Guided Live Single-Cell Lipid Profiling of Leader and Follower Cells During Collective Migration of Triple-Negative Breast Cancer Cells.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Living single-cell metabolomicsChemical science · 2026Review
- Research progress in single‑cell omics technologies for kidney disease (Review).International journal of molecular medicine · 2026Review
- Single-cell thiol profiling enabled by live-cell labeling reveals metabolic heterogeneity in ferroptosis.Nature communications · 2026Article
- Deep-coverage single-cell metabolomics enabled by ion mobility-resolved mass cytometry.Nature methods · 2026Article
- Single-cell structural lipidomics using a miniature dual-LIT mass spectrometer.Chemical science · 2026Article
- The mechanisms and therapeutic advances of interactions between breast cancer and cardiovascular diseases.Frontiers in pharmacology · 2026Review
- MMEASE: enhanced analytical workflow for single-cell metabolomics.Nucleic acids research · 2025Article
- Technologies for Decoding Cancer Metabolism with Spatial Resolution.Cold Spring Harbor perspectives in medicine · 2025Review
- Dynamic single-cell metabolomics reveals cell-cell interaction between tumor cells and macrophages.Nature communications · 2025Article
- Mass-Guided Single-Cell MALDI Imaging of Low-Mass Metabolites Reveals Cellular Activation Markers.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Decoding cardiac metabolic reprogramming through single-cell multi-omics: from mechanisms to therapeutic applications.Frontiers in cell and developmental biology · 2025Review
- Understanding metabolic plasticity at single cell resolution.Essays in biochemistry · 2024Review
- Electrokinetic Manipulations Combined With Direct and Ambient Ionization Mass Spectrometry.Mass spectrometry reviewsReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Comprehensive single-cell metabolic profiling is critical for revealing phenotypic heterogeneity and elucidating the molecular mechanisms underlying biological processes. However, single-cell metabolomics remains challenging because of the limited metabolite coverage and inability to discriminate isomers. Herein, we establish a single-cell metabolomics platform for in-depth organic mass cytometry. Extended single-cell analysis time guarantees sufficient MS/MS acquisition for metabolite identification and the isomers discrimination while online sampling ensures the high-throughput of the method. The largest number of identified metabolites (approximately 600) are achieved in single cells and fine subtyping of MCF-7 cells is first demonstrated by an investigation on the differential levels of 3-hydroxybutanoic acid among clusters. Single-cell transcriptome analysis reveals differences in the expression of 3-hydroxybutanoic acid downstream antioxidative stress genes, such as metallothionein 2 (MT2A), while a fluorescence-activated cell sorting assay confirms the positive relationship between 3-hydroxybutanoic acid and target proteins; these results suggest that the heterogeneity of 3-hydroxybutanoic acid provides cancer cells with different ability to resist surrounding oxidative stress. Our method paves the way for deep single-cell metabolome profiling and investigations on the physiological and pathological processes that occur during cancer.
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.