ReviewCurrent opinion in biotechnology2021
The limitless applications of single-cell metabolomics.
Review in Current opinion in biotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 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
38 citing papers in PubMed.
- UHPLC-Q/TOF-MS Characterization of Danshen-Chuanxiong and Mechanistic Insights Into Its Protective Effects Against AβJournal of separation science · 2026Article
- Advanced technologies of single-cell metabolomics unveiling cellular metabolic heterogeneity for biological and biomedical research.Journal of food and drug analysis · 2026Review
- Metabolic Regulation in the Maintenance ofInternational journal of molecular sciences · 2026Review
- Integrating Single-Cell and Spatial Multi-Omics to Decode Plant-Microbe Interactions at Cellular Resolution.Microorganisms · 2026Review
- Beyond Bulk Metabolomics: Emerging Technologies for Defining Cell-Type Specific Metabolic Pathways in Health and Disease.Biomolecules · 2025Review
- Multi-modal label-free imaging of cellular metabolism and oxidative stress in 3D brain tissue models.Communications biology · 2025Article
- Artificial Intelligence Driven Innovation: Advancing Mesenchymal Stem Cell Therapies and Intelligent Biomaterials for Regenerative Medicine.Bioengineering (Basel, Switzerland) · 2025Review
- Metabolomic profiles and antioxidant intake in female soccer players: a cross-sectional study.European journal of applied physiology · 2025Article
- Sample Preparation for Single Cell Mass Spectrometry Metabolomics Studies: Combined Cell Washing, Quenching, Drying, and Storage.Journal of visualized experiments : JoVE · 2025Article
- Developing a Cell Quenching Method to Facilitate Single Cell Mass Spectrometry Metabolomics Studies.JACS Au · 2025Article
- Recent Developments in Single-Cell Metabolomics by Mass Spectrometry─A Perspective.Journal of proteome research · 2025Review
- Enhancing lipid production in plant cells through automated high-throughput genome engineering and phenotyping.The Plant cell · 2025Article
- Genomic and cell-specific regulation of benzylisoquinoline alkaloid biosynthesis in opium poppy.Journal of experimental botany · 2025Review
- Review
- Multi Omics Applications in Biological Systems.Current issues in molecular biology · 2024Review
- Challenges and recent advances in quantitative mass spectrometry-based metabolomics.Analytical science advances · 2024Review
- Multi-omics integration reveals a nonlinear signature that precedes progression of lung fibrosis.Clinical & translational immunology · 2024Article
- Transflammation in tissue regeneration and response to injury: How cell-autonomous inflammatory signaling mediates cell plasticity.Advanced drug delivery reviews · 2023Review
- Mass Spectrometry-based Single-Cell Lipidomics: Advancements, Challenges, and the Path Forward.Trends in analytical chemistry : TRAC · 2023Article
- Advances in single-cell metabolomics to unravel cellular heterogeneity in plant biology.Plant physiology · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Single-cell metabolomics (SCM) is currently one of the most powerful tools for performing high-throughput metabolic analysis at the cellular level. The power of single-cell metabolomics to determine the metabolic profiles of individual cells makes it very suitable for decoding cell heterogeneity. SCM bears great potential in cell type identification and differentiation within cell colonies. With the development of various equipment and techniques, SCM analysis has become possible for a wide range of biological samples. Many fields have incorporated this cutting-edge analytic tool to generate fruitful findings. This review article pays close attention to the prevalent techniques utilized in SCM and the exciting new findings and applications developed by studies in phytology, neurology, and oncology using SCM.
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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.