ArticleAnalytical chemistry2017
Systems-Level Annotation of a Metabolomics Data Set Reduces 25 000 Features to Fewer than 1000 Unique Metabolites.
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 157 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
157 citing papers in PubMed.
- Acute aerobic exercise reveals that FAHFAs distinguish the metabolomes of overweight and normal-weight runners.JCI insight · 2022Trial
- Capillary Electrophoresis-Mass Spectrometry at Trial by Metabo-Ring: Effective Electrophoretic Mobility for Reproducible and Robust Compound Annotation.Analytical chemistry · 2020Trial
- Trial
- Untargeted Metabolomics Differentiates l-Carnitine Treated Septic Shock 1-Year Survivors and Nonsurvivors.Journal of proteome research · 2019Trial
- Using MetaboAnalyst 6.0 for exposomics data analysis-from LC-MS2 spectra processing to dose-response modeling and causal inference.Nature protocols · 2026Review
- Differential metabolomic effects of progestagen-based estrus synchronisation in South African Dohne Merino ewes.Tropical animal health and production · 2026Article
- Leveraging 13C-Labeling to Assign Molecular Formulas to Unknown Yeast Metabolites.Journal of the American Society for Mass Spectrometry · 2026Article
- Practical Workflow for Building Local Mass Spectral Libraries for Untargeted Metabolomics.Metabolites · 2026Article
- Lipid Class Prediction from MS1 Data using Gaussian Graphical Models.Analytical chemistry · 2026Article
- Assessing the metabolomics "dark matter" by a detectable khipu model.Metabolomics : Official journal of the Metabolomic Society · 2026Article
- Core Substances and Related Bio-Activities on Anti-Lung Cancer Cell A549 ofPharmaceuticals (Basel, Switzerland) · 2026Article
- From Target-Nontarget to Nontarget Screening: A Review on Screening Methods for Organic Pollutants Based on High-Resolution Mass Spectrometry.Environment & health (Washington, D.C.) · 2026Review
- Decoding cancer across scales with metabolomics.Nature reviews. Cancer · 2026Review
- Metabolic reprogramming and functional trade-offs during domestication of Sechium edule.Scientific reports · 2026Article
- Article
- Metabolomic fingerprint of Reynoutria japonica (Polygonaceae) using suspect screening with LC-HRMS and untargeted approach with GC-HRMS.Analytical and bioanalytical chemistry · 2026Article
- The undiscovered natural product potential of Actinomycetes.The Journal of antibiotics · 2026Article
- Detecting and Grouping In-Source Fragments with Low-Energy Stepped HCD, Together with MSMetabolites · 2026Article
- Article
- Applications of Metabolomics in the Development of Biomedicine and Biotechnology.Advances in experimental medicine and biology · 2026Review
97 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
When using liquid chromatography/mass spectrometry (LC/MS) to perform untargeted metabolomics, it is now routine to detect tens of thousands of features from biological samples. Poor understanding of the data, however, has complicated interpretation and masked the number of unique metabolites actually being measured in an experiment. Here we place an upper bound on the number of unique metabolites detected in Escherichia coli samples analyzed with one untargeted metabolomics method. We first group multiple features arising from the same analyte, which we call "degenerate features", using a context-driven annotation approach. Surprisingly, this analysis revealed thousands of previously unreported degeneracies that reduced the number of unique analytes to ∼2961. We then applied an orthogonal approach to remove nonbiological features from the data using the
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.