ArticleComparative and functional genomics2001
Combining genomics, metabolome analysis, and biochemical modelling to understand metabolic networks.
Article in Comparative and functional genomics, 2001. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 217 papers, 3 of them syntheses that pooled it.
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
217 citing papers in PubMed, 3 syntheses or guidelines pooled it, 909 citations in OpenAlex.
- Metabolomics analyses and physical interventions in soccer: a systematic review.Metabolomics : Official journal of the Metabolomic Society · 2024Pooled it
- Benefits and Implications of Resveratrol Supplementation on Microbiota Modulations: A Systematic Review of the Literature.International journal of molecular sciences · 2022Pooled it
- Systematic review regarding metabolic profiling for improved pathophysiological understanding of disease and outcome prediction in respiratory infections.Respiratory research · 2015Pooled it
- Multi-reflecting time-of-flight mass spectrometry enables high-accuracy metabolite identification in a demonstration study using serum samples from COVID-19 patients.Metabolomics : Official journal of the Metabolomic Society · 2026Article
- Identification and Detection of AflatoxigenicToxins · 2026Review
- Emerging Role of Gut Microbiota in Modulating Response to Therapies in IBD.Microorganisms · 2026Review
- Untargeted Multiple Reaction Monitoring.Analytical chemistry · 2026Article
- Spectral Similarity Score (SSS)-Barcoding for the Quality Control of LACTEM Emulsifiers by High-Performance Thin-Layer Chromatography.Journal of agricultural and food chemistry · 2026Article
- Transcriptomic and metabolomic analysis of Cry1AC + SCK transgenic poplars.Functional & integrative genomics · 2026Article
- Enhancing detection of low‑abundance metabolites in proton NMR through band‑selective suppression and presaturation.Natural products and bioprospecting · 2026Article
- Metabolomics-guided machine learning reveals diagnostic and mechanistic biomarkers in CHB with MASLD.PloS one · 2026Article
- Energy production pathways of female soccer players during championships: a metabolomics approach.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologicas · 2026Article
- Mass Spectrometry-Based Methods for Plant Metabolite Profiling.Methods in molecular biology (Clifton, N.J.) · 2026Review
- Sample Preparation for Multi-Omics Analysis: Considerations and Guidance for Identifying the Ideal Workflow.Proteomics · 2025Review
- Spatially Resolved Plant Metabolomics.Metabolites · 2025Review
- Widely Targeted Metabolomics Reveals Metabolic Divergence inPlants (Basel, Switzerland) · 2025Article
- Metabolomic Insights into Sexual Multi-Morphism of Sinomenine Accumulation inPlants (Basel, Switzerland) · 2025Article
- Mass-spectrometry based metabolomics: an overview of workflows, strategies, data analysis and applications.Proteome science · 2025Review
- Dissecting inflammation in the immunemetabolomic era.Cellular and molecular life sciences : CMLS · 2025Review
- The role of salivary metabolomics in chronic periodontitis: bridging oral and systemic diseases.Metabolomics : Official journal of the Metabolomic Society · 2025Review
157 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
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Now that complete genome sequences are available for a variety of organisms, the elucidation of gene functions involved in metabolism necessarily includes a better understanding of cellular responses upon mutations on all levels of gene products, mRNA, proteins, and metabolites. Such progress is essential since the observable properties of organisms - the phenotypes - are produced by the genotype in juxtaposition with the environment. Whereas much has been done to make mRNA and protein profiling possible, considerably less effort has been put into profiling the end products of gene expression, metabolites. To date, analytical approaches have been aimed primarily at the accurate quantification of a number of pre-defined target metabolites, or at producing fingerprints of metabolic changes without individually determining metabolite identities. Neither of these approaches allows the formation of an in-depth understanding of the biochemical behaviour within metabolic networks. Yet, by carefully choosing protocols for sample preparation and analytical techniques, a number of chemically different classes of compounds can be quantified simultaneously to enable such understanding. In this review, the terms describing various metabolite-oriented approaches are given, and the differences among these approaches are outlined. Metabolite target analysis, metabolite profiling, metabolomics, and metabolic fingerprinting are considered. For each approach, a number of examples are given, and potential applications are discussed.
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.