School personnel information

写真b

Okahashi Nobuyuki


Organization 【 display / non-display

  • 2014.04.01 - 2017.03.31, Department of Bioinformatic Engineering, Graduate School of Information Science and Technology, Doctoral Program Student

  • 2018.04.01 - 2019.11.30, Department of Bioinformatic Engineering, Graduate School of Information Science and Technology, Assistant Professor

  • 2019.12.01 - , Department of Bioinformatic Engineering, Graduate School of Information Science and Technology, Associate Professor

Education 【 display / non-display

Osaka University Faculty of Engineering  Graduated 2012.03
Osaka University Graduate School, Division of Information Science  Completed 2014.03
Osaka University Graduate School, Division of Information Science  Completed 2017.03

Research topics 【 display / non-display

  • System genome science-related, Chemistry and chemical methodology of biomolecules-related

 

Academic Papers 【 display / non-display

  • Time-resolved analysis of short term metabolic adaptation at dark transition in Synechocystis sp. PCC 6803., Maruyama M, Nishiguchi H, Toyoshima M, Okahashi N, Matsuda F, Shimizu H, Journal of bioscience and bioengineering,Volume 128, Issue 4, Pages 424-428, 2019.10, Other

  • Fragmentation of dicarboxylic and tricarboxylic acids in the Krebs cycle using GC-EI-MS and GC-EI-MS/MS, Nobuyuki Okahashi, Shuichi Kawana, Junko Iida, Hiroshi Shimizu, Fumio Matsuda, Mass Spectrometry,8(1) A0073-A0073, 2019.08, Papers

  • 13C-Metabolic flux analysis of inhibitor-induced metabolic redirection in the central metabolism of breast cancer cells, Fumio Matsuda, Chie Araki, Kousuke Maeda, Nobuyuki Okahashi, Hiroshi Shimizu,67th ASMS Conference on Mass Spectrometry and Allied Topics, 2019.06, International Conference(Non Proceeding)

  • 13C-Metabolic flux analysis of the central carbon metabolism in three cancer cell lines, Hikaru Uehara, Chie Araki, Kousuke Maeda, Nobuyuki Okahashi,Fumio Matsuda, and Hiroshi Shimizu ,YABEC2018, 2018.11, International Conference(Non Proceeding)

  • Sugar phosphate analysis with baseline separation and soft ionization by gas chromatography-negative chemical ionization-mass spectrometry improves flux estimation of bidirectional reactions in cancer cells., Okahashi N, Maeda K, Kawana S, Iida J, Shimizu H, Matsuda F, Metabolic engineering,51 43-49, 2018.09, Papers

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