A roadmap for interpreting 13C metabolite labeling patterns from cells
Name
Stephanopoulos_A roadmap.pdf
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628.34 KB
Format
Adobe PDF
Checksum (MD5)
8017514e2d7cf1e9e05303fdeeb0e1db
Author(s)
Stephanopoulos, Gregory
Date Issued
August 2015
Journal
Current Opinion in Biotechnology
Publisher
Elsevier
Citation
Buescher, Joerg M et al. “A Roadmap for Interpreting 13C Metabolite Labeling Patterns from Cells.” Current Opinion in Biotechnology 34 (2015): 189–201.
Version
Author's final manuscript
Abstract
Measuring intracellular metabolism has increasingly led to important insights in biomedical research. [superscript 13]C tracer analysis, although less information-rich than quantitative [superscript 13]C flux analysis that requires computational data integration, has been established as a time-efficient method to unravel relative pathway activities, qualitative changes in pathway contributions, and nutrientcontributions. Here, we review selected key issues in interpreting [superscript 13]C metabolite labeling patterns, with the goal of drawing accurate conclusions from steady state and dynamic stable isotopic tracer experiments
MIT Department
Massachusetts Institute of Technology. Department of Chemical Engineering
Terms of Use
Creative Commons Attribution-NonCommercial-NoDerivs License
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1016/j.copbio.2015.02.003
