ReviewMetabolic engineering2013
Parallel labeling experiments and metabolic flux analysis: Past, present and future methodologies.
Review in Metabolic engineering, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 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
37 citing papers in PubMed.
- Engineering growth independent production: programmable control loops for high-titer rhamnolipids for improved green surfactant sustainability.Bioprocess and biosystems engineering · 2026Review
- Metabolic Flux Analysis Reveals Entner-Doudoroff Pathway Dominance in Heterotrophic Deep-Sea Bacterial Isolates.Environmental microbiology reports · 2026Article
- Heavy water labeling reveals metabolic flexibility of amino acid and polyamine pathways in mammalian cells.Communications chemistry · 2026Article
- Engineering Aging: Approaches to Model and Deconstruct Biological Complexity.Advanced materials (Deerfield Beach, Fla.) · 2026Review
- 13 C-MFA helps to identify metabolic bottlenecks for improving malic acid production in Myceliophthora thermophila.Microbial cell factories · 2024Article
- The Carbon Flow Shifts from Primary to Secondary Metabolism during Xylem Vessel Cell Differentiation in Arabidopsis thaliana.Plant & cell physiology · 2023Article
- Utilization of lignocellulosic hydrolysates for photomixotrophic chemical production in Synechococcus elongatus PCC 7942.Communications biology · 2023Article
- A pathogen-specific isotope tracing approach reveals metabolic activities and fluxes of intracellular Salmonella.PLoS biology · 2023Article
- Statin therapy inhibits fatty acid synthase via dynamic protein modifications.Nature communications · 2022Article
- Isotopically nonstationaryMetabolic engineering · 2022Article
- Considerations for using isolated cell systems to understand cardiac metabolism and biology.Journal of molecular and cellular cardiology · 2021Review
- Metabolic Modelling as a Framework for Metabolomics Data Integration and Analysis.Metabolites · 2020Review
- Simultaneous tracers and a unified model of positional and mass isotopomers for quantification of metabolic flux in liver.Metabolic engineering · 2020Article
- Bioenergetics and translational metabolism: implications for genetics, physiology and precision medicine.Biological chemistry · 2019Review
- Integration of flux measurements and pharmacological controls to optimize stable isotope-resolved metabolomics workflows and interpretation.Scientific reports · 2019Article
- A Pareto approach to resolve the conflict between information gain and experimental costs: Multiple-criteria design of carbon labeling experiments.PLoS computational biology · 2018Article
- From correlation to causation: analysis of metabolomics data using systems biology approaches.Metabolomics : Official journal of the Metabolomic Society · 2018Review
- Optimal tracers for parallel labeling experiments andMetabolic engineering · 2016Article
- Comprehensive metabolic modeling of multiple 13C-isotopomer data sets to study metabolism in perfused working hearts.American journal of physiology. Heart and circulatory physiology · 2016Article
- Co-utilization of glucose and xylose by evolved Thermus thermophilus LC113 strain elucidated by (13)C metabolic flux analysis and whole genome sequencing.Metabolic engineering · 2016Article
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
Radioactive and stable isotopes have been applied for decades to elucidate metabolic pathways and quantify carbon flow in cellular systems using mass and isotope balancing approaches. Isotope-labeling experiments can be conducted as a single tracer experiment, or as parallel labeling experiments. In the latter case, several experiments are performed under identical conditions except for the choice of substrate labeling. In this review, we highlight robust approaches for probing metabolism and addressing metabolically related questions though parallel labeling experiments. In the first part, we provide a brief historical perspective on parallel labeling experiments, from the early metabolic studies when radioisotopes were predominant to present-day applications based on stable-isotopes. We also elaborate on important technical and theoretical advances that have facilitated the transition from radioisotopes to stable-isotopes. In the second part of the review, we focus on parallel labeling experiments for (13)C-metabolic flux analysis ((13)C-MFA). Parallel experiments offer several advantages that include: tailoring experiments to resolve specific fluxes with high precision; reducing the length of labeling experiments by introducing multiple entry-points of isotopes; validating biochemical network models; and improving the performance of (13)C-MFA in systems where the number of measurements is limited. We conclude by discussing some challenges facing the use of parallel labeling experiments for (13)C-MFA and highlight the need to address issues related to biological variability, data integration, and rational tracer selection.
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.