Cell

Precision Mapping of Cellular Metabolism Using 13C Tracers

Uncover how cells route carbon through central pathways, optimize bioprocesses, and validate metabolic engineering strategies with confidence.

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13C Metabolic Flux Analysis

Quantify Carbon Flow, Understand Cellular Metabolism

Quantify Carbon Flow, Understand Cellular Metabolism
While metabolomics provides a snapshot of metabolite levels, ¹³C Metabolic Flux Analysis (MFA) captures the dynamic flow of carbon through intracellular pathways. By feeding cells with ¹³C-labeled substrates and measuring labeling patterns in downstream metabolites, MFA precisely quantifies reaction fluxes across central metabolic networks such as glycolysis, the TCA cycle, and the pentose phosphate pathway.

At Clarity Bio Systems, we combine high-precision LC/GC-MS isotopologue profiling with advanced flux modeling to generate quantitative flux maps, complete with confidence intervals. Our approach integrates extracellular exchange data with isotope tracing to provide deep, system-level insights into metabolic regulation, rewiring, and efficiency.

For validating engineered strains, optimizing cell cultures, and understanding metabolic regulation under dynamic conditions, MFA enables rigorous, quantitative understanding of pathway usage and metabolic constraints.

What you get

01

Instrumentation & Data Acquisition

LC-MS/GC-MS profiling of key metabolites.

02

Isotopologue Profiling

High-resolution quantification of mass isotopomer distributions (MIDs).

03

Extracellular Flux Measurements

Nutrient uptake and secretion data to refine flux models.

04

Flux Estimation & Modeling

Confidence-bounded flux maps using INCA/OpenFlux.

05

Consultation session

Curated flux maps, reports, and expert insights for decision-making.

Metabolic Models Developed

Chinese Hamster Ovary

  • No. of genes2441
  • No. of metabolites4199
  • No. of reactions6382

Escherichia coli

  • No. of genes1333
  • No. of metabolites1944
  • No. of reactions2768

Chicken Cell

  • No. of genes2248
  • No. of metabolites5835
  • No. of reactions7449
  • Memote Score88

Homo sapiens

  • No. of genes2248
  • No. of metabolites5835
  • No. of reactions10600
  • Memote Score86

Saccharomyces cerevisiae

  • No. of genes905
  • No. of metabolites1226
  • No. of reactions1577
  • Memote Score85

Synechococcus elongatus

  • No. of genes785
  • No. of metabolites768
  • No. of reactions849
  • Memote Score76

Bacillus subtilis

  • No. of genes844
  • No. of metabolites990
  • No. of reactions1250
  • Memote Score86

Y. lipolytica

  • No. of genes1058
  • No. of metabolites1868
  • No. of reactions2285

13C Metabolic Flux Analysis is ideal for

Identifying metabolic   bottlenecks & reroute fluxes   for improved product yield

Identifying metabolic
bottlenecks & reroute fluxes
for improved product yield

Mapping rewired pathways in  proliferative and immune  phenotypes in cancer

Mapping rewired pathways in
proliferative and immune
phenotypes in cancer

Characterizing central   metabolism in microbial

Characterizing central
metabolism in microbial

Compare flux profiles across  clones or engineered  variants for strain selection

Compare flux profiles across
clones or engineered
variants for strain selection

Link nutrient input to  intracellular carbon  allocation for media design

Link nutrient input to
intracellular carbon
allocation for media design

Complementing genome-   scale metabolic models

Complementing genome-
scale metabolic models

Why choose Clarity for metabolomics

10,000+

Samples Analyzed

40+

Publications & patents

10+

Methods

30+

Clients & collaborators

500+

Metabolites

17

Completed Projects

10,000+

Samples Analyzed

40+

Publications & patents

10+

Methods

30+

Clients & collaborators

500+

Metabolites

17

Completed Projects

FAQs

MFA quantifies fluxes or metabolic rates (not just metabolite concentrations), offering mechanistic insight into cellular function.

Steady-state is preferred for most flux models, but we also support non-stationary flux analysis depending on your system.

Yes. MFA data can validate or constrain flux distributions predicted by genome-scale models for hybrid optimization strategies.

Launch a Flux Analysis Project

Discuss your system, tracer strategy, and target pathway with our experts.