Metabolic Flux Analysis (MFA) is a powerful computational and experimental approach used to quantify the flow of metabolites through biochemical pathways in living cells. CD ComputaBio offers cutting-edge metabolic flux analysis service, leveraging advanced computational tools and experimental methods to provide accurate and actionable metabolic insights.
Metabolic flux analysis (MFA) is an important analytical tool, is used to examine production and consumption rates of metabolites in a biological system. In systems metabolic engineering, MFA can be used for understanding cellular physiology under particular-conditions and predicting its metabolic capability after genetic or environmental perturbations. MFA can also be used for the elucidation of cellular mechanisms. MFA can identify and quantitatively estimate the metabolism through metabolic pathways by observing the position of the isotopic label along the metabolic pathways.
Figure 1. Metabolic Flux Analysis. (Antoniewicz M R, 2021)
Stoichiometric Modeling (Flux Balance Analysis-FBA)
FBA is a constraint-based approach that predicts optimal metabolic fluxes by solving mass-balance equations under steady-state conditions. It is widely used in metabolic engineering to design high-yield microbial strains.
Isotope-Based MFA (¹³C-MFA)
This gold-standard method involves feeding cells with isotope-labeled substrates (e.g., ¹³C-glucose) and tracking their distribution across downstream metabolites. The labeling patterns are used to infer intracellular fluxes with high precision.
Kinetic Modeling
Unlike steady-state approaches, kinetic MFA incorporates enzyme kinetics and regulatory mechanisms, allowing researchers to study dynamic metabolic responses to genetic or environmental changes.
CD ComputaBio delivers comprehensive metabolic flux analysis services, combining experimental expertise with computational modeling to decode metabolic networks.
Steady-State Flux Analysis: Steady-state MFA quantifies metabolic fluxes under balanced growth conditions, ideal for microbial fermentation, cancer metabolism, and metabolic engineering studies.
Dynamic Flux Analysis: Time-resolved flux profiling captures metabolic shifts in response to perturbations, enabling the study of drug effects, nutrient limitations, and stress responses.
Isotope-Labeled Metabolomics: Custom-designed isotope tracing experiments paired with high-resolution mass spectrometry provide precise flux measurements in central carbon metabolism and beyond.
Genome-Scale Metabolic Modeling: Integration of omics data with genome-scale models (e.g., Recon3D, Human-GEM) predicts system-wide flux distributions, supporting drug target identification and strain design.
High-Resolution Flux Mapping
Combining experimental precision with advanced algorithms ensures accurate flux estimations even in complex metabolic networks.
Customized Solutions
Tailored experimental and computational strategies address specific research questions, from microbial metabolism to human diseases.
Multi-Omics Integration
Flux data is integrated with transcriptomics, proteomics, and metabolomics for a holistic view of cellular metabolism. High-throughput flux analysis supports large-scale studies
Metabolic flux analysis is a transformative tool for deciphering metabolic activity in living systems. CD ComputaBio's metabolic flux analysis service empowers researchers with robust experimental and computational solutions, driving innovations across biotechnology, medicine, and agriculture. If you are interested in our services or have any questions, please feel free to contact us.
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