ReviewACS chemical neuroscience2018
Single Cell Neurometabolomics.
Review in ACS chemical neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 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
29 citing papers in PubMed, 67 citations in OpenAlex.
- Characterization of the Lipidome of Neurons in Mouse Brain Nuclei Using Imaging Mass Spectrometry.Analytical chemistry · 2026Article
- From the brain cell atlas to precision neurology: a review of the application of AI-driven multi-omics in brain science.GigaScience · 2026Review
- Identifying and investigating emergent behaviour in neural systems.Frontiers in neuroscience · 2026Article
- Technologies for Decoding Cancer Metabolism with Spatial Resolution.Cold Spring Harbor perspectives in medicine · 2025Review
- Data-Independent Acquisition Shortens the Analytical Window of Single-Cell Proteomics to Fifteen Minutes in Capillary Electrophoresis Mass Spectrometry.Journal of proteome research · 2025Article
- Unlocking the Heterogeneity in Acute Leukaemia: Dissection of Clonal Architecture and Metabolic Properties for Clinical Interventions.International journal of molecular sciences · 2024Review
- Emerging Functional Connections Between Metabolism and Epigenetic Remodeling in Neural Differentiation.Molecular neurobiology · 2024Review
- Single-cell metabolomics in rare disease: From technology to disease.Intractable & rare diseases research · 2024Review
- Metabolomics: A useful tool for ischemic stroke research.Journal of pharmaceutical analysis · 2023Review
- Exploring Single-Cell Exposomics by Mass Spectrometry.Environmental science & technology · 2023Review
- Advances in measuring cancer cell metabolism with subcellular resolution.Nature methods · 2022Review
- Single-Cell Mass Spectrometry of Metabolites and Proteins for Systems and Functional Biology.Neuromethods · 2022Article
- Brain on food: The neuroepigenetics of nutrition.Neurochemistry international · 2021Review
- The limitless applications of single-cell metabolomics.Current opinion in biotechnology · 2021Review
- SpaceM reveals metabolic states of single cells.Nature methods · 2021Article
- Spatially Resolved Mass Spectrometry at the Single Cell: Recent Innovations in Proteomics and Metabolomics.Journal of the American Society for Mass Spectrometry · 2021Review
- IDH1 mutations induce organelle defects via dysregulated phospholipids.Nature communications · 2021Article
- Metabolomics: A Tool to Understand the Impact of Genetic Mutations in Amyotrophic Lateral Sclerosis.Genes · 2020Review
- Single Cell Metabolomics: A Future Tool to Unmask Cellular Heterogeneity and Virus-Host Interaction in Context of Emerging Viral Diseases.Frontiers in microbiology · 2020Review
- NMR and MS-based Stable Isotope-Resolved Metabolomics and Applications in Cancer Metabolism.Trends in analytical chemistry : TRAC · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
Metabolomics, the characterization of metabolites and their changes within biological systems, has seen great technological and methodological progress over the past decade. Most metabolomic experiments involve the characterization of the small-molecule content of fluids or tissue homogenates. While these microliter and larger volume metabolomic measurements can characterize hundreds to thousands of compounds, the coverage of molecular content decreases as sample sizes are reduced to the nanoliter and even to the picoliter volume range. Recent progress has enabled the ability to characterize the major molecules found within specific individual cells. Especially within the brain, a myriad of cell types are colocalized, and oftentimes only a subset of these cells undergo changes in both healthy and pathological states. Here we highlight recent progress in mass spectrometry-based approaches used for single cell metabolomics, emphasizing their application to neuroscience research. Single cell studies can be directed to measuring differences between members of populations of similar cells (e.g., oligodendrocytes), as well as characterizing differences between cell types (e.g., neurons and astrocytes), and are especially useful for measuring changes occurring during different behavior states, exposure to diets and drugs, neuronal activity, and disease. When combined with other omics approaches such as transcriptomics, and with morphological and physiological measurements, single cell metabolomics aids fundamental neurochemical studies, has great potential in pharmaceutical development, and should improve the diagnosis and treatment of brain diseases.
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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.