Earticle

초록

영어

Genome-scale metabolic network modeling and simulation have played important roles in metabolic engineering. Its key role is to integrate omics data with metabolic network for more accurate prediction. We hypothesized that there might exist genes showing changes in their expression correlated with their corresponding flux values upon perturbations. These flux-coupled genes (FCGs) were investigated using transcriptome and 13C-fluxdataof Escherichia coli, and most consistent FCGs were identified as gnd, pfkB, rpe, sdhB, sdhD, sucA, and zwf. The corresponding reactions were then given additional constraints in flux balance analysis (FBA). This results were also compared with conventional simulation methods. This strategy is expected to be useful due to the relative easiness of obtaining a few genes’ transcriptional information. [This work was supported by the Technology Development Program to Solve Climate Changes (systems metabolic engineering for biorefineries) from the Ministry of Education, Science and Technology (MEST) through the National Research Foundation of Korea (NRF-2012-C1AAA001-2012M1A2A2026556)]

키워드

저자

• Dong In KIM [ Department of Chemical and Biomolecular engineering, Korea Advanced Institute of Science and Technology, Daejeon, 305-701. ]
• Hyun Uk KIM [ Department of Chemical and Biomolecular engineering, Korea Advanced Institute of Science and Technology, Daejeon, 305-701. ]
• Won Jun KIM [ Department of Chemical and Biomolecular engineering, Korea Advanced Institute of Science and Technology, Daejeon, 305-701. ]
• Sang Yup LEE [ Department of Chemical and Biomolecular engineering, Korea Advanced Institute of Science and Technology, Daejeon, 305-701. ]

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발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  한국생물공학회 학술대회

• 간기

  반년간

• 수록기간

  1985~2013

• 십진분류

  KDC 476 DDC 576