Comprehensive Mapping of Pluripotent Stem Cell Metabolism Using Dynamic Genome-Scale Network Modeling

Comprehensive Mapping of Pluripotent Stem Cell Metabolism Using Dynamic Genome-Scale Network Modeling

Metabolism is an emerging stem cell hallmark tied to cell fate, pluripotency, and self-renewal, yet systems-level understanding of stem cell metabolism has been limited by the lack of genome-scale network models. Here, we develop a systems approach to integrate time-course metabolomics data with a c...

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Bibliographic Details
Main Authors: Chandrasekaran, Sriram (Contributor), Zhang, Jin (Author), Sun, Zhen (Author), Zhang, Li (Author), Ross, Christian A. (Author), Huang, Yu-Chung (Author), Asara, John M. (Author), Li, Hu (Author), Daley, George Q. (Author), Collins, James J. (Contributor)
Other Authors: Institute for Medical Engineering and Science (Contributor), Massachusetts Institute of Technology. Department of Biological Engineering (Contributor), Massachusetts Institute of Technology. Synthetic Biology Center (Contributor)
Format: Article
Language:English
Published: Elsevier, 2018-01-23T15:33:20Z.
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