ArticleScientific reports2017
Elucidating dynamic metabolic physiology through network integration of quantitative time-course metabolomics.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers.
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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.
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Who cites it
72 citing papers in PubMed.
- Donor glucose-6-phosphate dehydrogenase deficiency decreases blood quality for transfusion.The Journal of clinical investigation · 2020Trial
- Surface acoustic wave hemolysis assay for evaluating stored red blood cells.Lab on a chip · 2026Article
- Examining saliva proteomic dynamics in mitochondrial diseases from a perspective of intrinsic health.Scientific reports · 2025Article
- Red blood cell metabolism: a window on systems health towards clinical metabolomics.Current opinion in hematology · 2025Review
- RBC-GEM: A genome-scale metabolic model for systems biology of the human red blood cell.PLoS computational biology · 2025Article
- A Guide to Metabolic Network Modeling for Plant Biology.Plants (Basel, Switzerland) · 2025Review
- The CILLO-E Hypothesis: Erythrocyte-Driven Acidosis and Early Eryptosis as Drivers of Cancer-Associated Anemia.Frontiers in oncology · 2025Article
- Insights into optimization of oleaginous fungi - genome-scale metabolic reconstruction and analysis ofComputational and structural biotechnology journal · 2025Article
- Biological and genetic determinants of glycolysis: Phosphofructokinase isoforms boost energy status of stored red blood cells and transfusion outcomes.Cell metabolism · 2024Article
- Review
- Temperature Dependence of Platelet Metabolism.Metabolites · 2024Article
- Modeling Red Blood Cell Metabolism in the Omics Era.Metabolites · 2023Review
- From genotype to phenotype: computational approaches for inferring microbial traits relevant to the food industry.FEMS microbiology reviews · 2023Review
- Red Blood Cell Metabolism In Vivo and In Vitro.Metabolites · 2023Review
- Red Blood Cell Omics and Machine Learning in Transfusion Medicine: Singularity Is Near.Transfusion medicine and hemotherapy : offizielles Organ der Deutschen Gesellschaft fur Transfusionsmedizin und Immunhamatologie · 2023Review
- Prediction of Metabolic Flux Distribution by Flux Sampling: As a Case Study, Acetate Production from Glucose inBioengineering (Basel, Switzerland) · 2023Article
- Article
- Mass spectrometry-based metabolomics in microbiome investigations.Nature reviews. Microbiology · 2022Review
- Compartmentalization of metabolism between cell types in multicellular organisms: a computational perspective.Current opinion in systems biology · 2022Article
- Systems-based approaches to study immunometabolism.Cellular & molecular immunology · 2022Review
12 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
The increasing availability of metabolomics data necessitates novel methods for deeper data analysis and interpretation. We present a flux balance analysis method that allows for the computation of dynamic intracellular metabolic changes at the cellular scale through integration of time-course absolute quantitative metabolomics. This approach, termed "unsteady-state flux balance analysis" (uFBA), is applied to four cellular systems: three dynamic and one steady-state as a negative control. uFBA and FBA predictions are contrasted, and uFBA is found to be more accurate in predicting dynamic metabolic flux states for red blood cells, platelets, and Saccharomyces cerevisiae. Notably, only uFBA predicts that stored red blood cells metabolize TCA intermediates to regenerate important cofactors, such as ATP, NADH, and NADPH. These pathway usage predictions were subsequently validated through
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