Nakayama Y - Search Results

1

Corrigendum: New Insight into the Role of the Calvin Cycle: Reutilization of CO2 Emitted through Sugar Degradation.

Shimizu R, Dempo Y, Nakayama Y, Nakamura S, Bamba T, Fukusaki E, Fukui T. Shimizu R, et al. Among authors: nakayama y. Sci Rep. 2016 Jun 20;6:27961. doi: 10.1038/srep27961. Sci Rep. 2016. PMID: 27322870 Free PMC article. No abstract available.

2

New Insight into the Role of the Calvin Cycle: Reutilization of CO2 Emitted through Sugar Degradation.

Shimizu R, Dempo Y, Nakayama Y, Nakamura S, Bamba T, Fukusaki E, Fukui T. Shimizu R, et al. Among authors: nakayama y. Sci Rep. 2015 Jul 1;5:11617. doi: 10.1038/srep11617. Sci Rep. 2015. PMID: 26130086 Free PMC article.

3

Two isoforms of TALDO1 generated by alternative translational initiation show differential nucleocytoplasmic distribution to regulate the global metabolic network.

Moriyama T, Tanaka S, Nakayama Y, Fukumoto M, Tsujimura K, Yamada K, Bamba T, Yoneda Y, Fukusaki E, Oka M. Moriyama T, et al. Among authors: nakayama y. Sci Rep. 2016 Oct 5;6:34648. doi: 10.1038/srep34648. Sci Rep. 2016. PMID: 27703206 Free PMC article.

4

Molar-based targeted metabolic profiling of cyanobacterial strains with potential for biological production.

Dempo Y, Ohta E, Nakayama Y, Bamba T, Fukusaki E. Dempo Y, et al. Among authors: nakayama y. Metabolites. 2014 Jun 20;4(2):499-516. doi: 10.3390/metabo4020499. Metabolites. 2014. PMID: 24957038 Free PMC article.

5

Glutamate acts as a key signal linking glucose metabolism to incretin/cAMP action to amplify insulin secretion.

Gheni G, Ogura M, Iwasaki M, Yokoi N, Minami K, Nakayama Y, Harada K, Hastoy B, Wu X, Takahashi H, Kimura K, Matsubara T, Hoshikawa R, Hatano N, Sugawara K, Shibasaki T, Inagaki N, Bamba T, Mizoguchi A, Fukusaki E, Rorsman P, Seino S. Gheni G, et al. Among authors: nakayama y. Cell Rep. 2014 Oct 23;9(2):661-73. doi: 10.1016/j.celrep.2014.09.030. Epub 2014 Oct 16. Cell Rep. 2014. PMID: 25373904 Free PMC article.

6

Metabolic distance estimation based on principle component analysis of metabolic turnover.

Nakayama Y, Putri SP, Bamba T, Fukusaki E. Nakayama Y, et al. J Biosci Bioeng. 2014 Sep;118(3):350-5. doi: 10.1016/j.jbiosc.2014.02.014. Epub 2014 Mar 26. J Biosci Bioeng. 2014. PMID: 24680283

7

Metabolomic approach for improving ethanol stress tolerance in Saccharomyces cerevisiae.

Ohta E, Nakayama Y, Mukai Y, Bamba T, Fukusaki E. Ohta E, et al. Among authors: nakayama y. J Biosci Bioeng. 2016 Apr;121(4):399-405. doi: 10.1016/j.jbiosc.2015.08.006. Epub 2015 Sep 3. J Biosci Bioeng. 2016. PMID: 26344121

8

Novel strategy for non-targeted isotope-assisted metabolomics by means of metabolic turnover and multivariate analysis.

Nakayama Y, Tamada Y, Tsugawa H, Bamba T, Fukusaki E. Nakayama Y, et al. Metabolites. 2014 Aug 25;4(3):722-39. doi: 10.3390/metabo4030722. Metabolites. 2014. PMID: 25257997 Free PMC article.

9

Increased Dynamics of Tricarboxylic Acid Cycle and Glutamate Synthesis in Obese Adipose Tissue: IN VIVO METABOLIC TURNOVER ANALYSIS.

Nagao H, Nishizawa H, Bamba T, Nakayama Y, Isozumi N, Nagamori S, Kanai Y, Tanaka Y, Kita S, Fukuda S, Funahashi T, Maeda N, Fukusaki E, Shimomura I. Nagao H, et al. Among authors: nakayama y. J Biol Chem. 2017 Mar 17;292(11):4469-4483. doi: 10.1074/jbc.M116.770172. Epub 2017 Jan 24. J Biol Chem. 2017. PMID: 28119455 Free PMC article.

10

Highly Accurate Detection and Identification Methodology of Xenobiotic Metabolites Using Stable Isotope Labeling, Data Mining Techniques, and Time-Dependent Profiling Based on LC/HRMS/MS.

Takahashi M, Izumi Y, Iwahashi F, Nakayama Y, Iwakoshi M, Nakao M, Yamato S, Fukusaki E, Bamba T. Takahashi M, et al. Among authors: nakayama y. Anal Chem. 2018 Aug 7;90(15):9068-9076. doi: 10.1021/acs.analchem.8b01388. Epub 2018 Jul 19. Anal Chem. 2018. PMID: 30024726

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