The pentose phosphate pathway is an important glucose metabolism pathway, which consists of an oxidative part and a non-oxidative part. PPP metabolic flux analysis enables the assessment of intracellular fluxes under the glucose metabolism network, understanding how tumor cells convert glucose metabolism substrates into biomass and chemical products and predicting possible metabolic constraints in the PPP, CD BioGlyco has the ability to provide services for energy analysis of the PPP.
Using the MOPCGM platform, we provide 13C metabolic flux analysis and flux balance analysis of large genome-scale stoichiometric models. The 13C metabolic flux analysis is based on the assumption of steady state, isotopic steady state, etc. The metabolic balance analysis at the genome-scale solves biological problems using the theory of optimization, using linearity according to the metrological information of metabolic reactions and the law of mass conservation of metabolites under pseudo-steady state Solver flux distribution.
For PPP flux analysis, the labeling methods we can provide are as follows:
| [U-13C]-Glucose | [6-14C]-Glucose | [1-2H]-Glucose |
| Hyperpolarized δ-[1-13C]-Gluconolactone | [1,2-13C2]-Glucose | Parallel labeling |
The PPP metabolites we are able to label are as follows, including but not limited to:
| Glucose-6-Phosphate | Pentose Phosphates | Sedoheptulose-7-Phosphate |
| Triose Phosphates | Erythrose-4-Phosphate | Fructose-6-Phosphate |
The first step in metabolic flux analysis is to design experiments to determine the choice of isotopic tracer based on customer needs. The second step of the labeling experiment is to carry out isotope labeling on the experimental sample. The third step is the experiment of isotope labeling and external glucose metabolism rate measurement. The amount of labeling is measured by mass spectrometry-chromatography, and the parameters of cancer cell growth rate and metabolite production are determined by detecting the glucose consumption of tumor cells. The fourth step is to determine the metabolic model. The fifth step uses a variety of group-building platforms to estimate the glycolytic metabolic flux. The sixth step is to conduct data analysis and finally get the results.
CD BioGlyco can provide 13C metabolic flux analysis and flux balance analysis for the PPP, helping customers to fully understand the changes of the PPP in various states of cancer cells. Our experienced teams of scientists, researchers, and technicians provide fast turnaround, high-quality services at competitive prices for worldwide customers. Our customers have direct access to our staff and prompt feedback on their inquiries. If you are interested in our services, please contact us for more details.
