ReviewMolecular systems biology2006
Metabolic networks in motion: 13C-based flux analysis.
Review in Molecular systems biology, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 261 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
261 citing papers in PubMed.
- A simple, anesthesia-free infusion technique for in vivo metabolic tracing.Science advances · 2026Article
- Trans-dimensional Bayesian model averaging for 13C-metabolic flux analysis: evidence-based flux inference under structural model uncertainty.Bioinformatics (Oxford, England) · 2026Article
- Stable isotope labelling mass spectrometry analysis of isolated mouse sperm.Biology of reproduction · 2026Article
- Lipid accumulation in nitrogen and phosphorus-limited yeast is caused by less growth-related dilution.Metabolic engineering · 2026Article
- A simple, anesthesia-free infusion technique forbioRxiv : the preprint server for biology · 2025Article
- Sperm meet the elevated energy demands to attain fertilization competence by increasing flux through aldolase.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Dual Isotopologue Profiling of Bacterial Pathogens and their Host Cells: Metabolic Adaptation of Human Macrophages and Fallopian Tube Cells to IntracellularACS chemical biology · 2025Article
- An insulin-sensitive Drosophila insulin-like receptor mutant remodels methionine metabolism to extend lifespan.PLoS genetics · 2025Article
- Simultaneous in vivo multi-organ fluxomics reveals divergent metabolic adaptations in liver, heart, and skeletal muscle during obesity.Cell reports · 2025Article
- Recent Developments in Single-Cell Metabolomics by Mass Spectrometry─A Perspective.Journal of proteome research · 2025Review
- Non-canonical plant metabolism.Nature plants · 2025Review
- The prowess of metabolomics in cancer research: current trends, challenges and future perspectives.Molecular and cellular biochemistry · 2025Review
- Precision Dietary Intervention: Gut Microbiome and Meta-metabolome as Functional Readouts.Phenomics (Cham, Switzerland) · 2025Review
- 13 C-MFA helps to identify metabolic bottlenecks for improving malic acid production in Myceliophthora thermophila.Microbial cell factories · 2024Article
- Use ofBiomolecules · 2024Review
- Quantitative principles of microbial metabolism shared across scales.Nature microbiology · 2024Review
- Connecting metabolome and phenotype: recent advances in functional metabolomics tools for the identification of bioactive natural products.Natural product reports · 2024Review
- Tracing the path of disruption:CNS neuroscience & therapeutics · 2024Review
- Hijacking of nucleotide biosynthesis and deamidation-mediated glycolysis by an oncogenic herpesvirus.Nature communications · 2024Article
- Control Theory and Systems Biology: Potential Applications in Neurodegeneration and Search for Therapeutic Targets.International journal of molecular sciences · 2023Review
201 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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Many properties of complex networks cannot be understood from monitoring the components--not even when comprehensively monitoring all protein or metabolite concentrations--unless such information is connected and integrated through mathematical models. The reason is that static component concentrations, albeit extremely informative, do not contain functional information per se. The functional behavior of a network emerges only through the nonlinear gene, protein, and metabolite interactions across multiple metabolic and regulatory layers. I argue here that intracellular reaction rates are the functional end points of these interactions in metabolic networks, hence are highly relevant for systems biology. Methods for experimental determination of metabolic fluxes differ fundamentally from component concentration measurements; that is, intracellular reaction rates cannot be detected directly, but must be estimated through computer model-based interpretation of stable isotope patterns in products of metabolism.
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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.