Reverse engineering the cancer metabolic network using flux analysis to understand drivers of human disease-Reference-Cited by-同舟云学术

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Reverse engineering the cancer metabolic network using flux analysis to understand drivers of human disease

Published:2018-01 Issue: Volume:45 Page:95-108
ISSN:1096-7176
Container-title:Metabolic Engineering
language:en
Short-container-title:Metabolic Engineering

Author:

Badur Mehmet G.,Metallo Christian M.

Funder

California Institute of Regenerative Medicine

NSF CAREER

NIH

NSF Graduate Research Fellowship

Publisher

Elsevier BV

Subject

Applied Microbiology and Biotechnology,Bioengineering,Biotechnology

Reference196 articles.

1. Determination of confidence intervals of metabolic fluxes estimated from stable isotope measurements;Antoniewicz;Metab. Eng.,2006

2. Elementary metabolite units (EMU): a novel framework for modeling isotopic distributions;Antoniewicz;Metab. Eng.,2007

3. Enzymatic passaging of human embryonic stem cells alters central carbon metabolism and glycan abundance;Badur;Biotechnol. J.,2015

4. Analysis of the IDH1 codon 132 mutation in brain tumors;Balss;Acta Neuropathol.,2008

5. Energy balance for analysis of complex metabolic networks;Beard;Biophys. J.,2002

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