iMFA: In Vivo Metabolic Flux Analysis

The codes related to our manuscript "Rewiring of Cortical Glucose Metabolism Fuels Human Brain Cancer Growth" can be found in this repository.

We organized the codes into following folders and provided a detailed description for using the codes in each folder. Please click on the links below to see the codes and README files.

1. Correction of mice inter-variability for U¹³C-glucose saturation

2. Quantification of nucleotide metabolism in vivo using iMFA at metabolic steady state

3. Quantification of purine fluxes in radiation-treated tissues using dynamic MFA

4. Estimation of relative serine uptake and synthesis fluxes in vivo

5. Bioinformatic analyses related to differential expression and molecular subtype classification

Requirements:

1. MATLAB R2021b with default installation on Windows 11
2. Artelys Knitro Optimizer version 12.4 (MATLAB version)
3. MATLAB Parallel Processing toolkit (optional)
4. R version 4.2.2

More detailed requirements can be found in each folder/code.

Citation

Scott, A.J., Mittal, A., Meghdadi, B., et al. Rewiring of cortical glucose metabolism fuels human brain cancer growth. Nature (2025). DOI: 10.1038/s41586-025-09460-7.