Kikuchi J - Search Results

1

Identification of Reliable Components in Multivariate Curve Resolution-Alternating Least Squares (MCR-ALS): a Data-Driven Approach across Metabolic Processes.

Motegi H, Tsuboi Y, Saga A, Kagami T, Inoue M, Toki H, Minowa O, Noda T, Kikuchi J. Motegi H, et al. Among authors: kikuchi j. Sci Rep. 2015 Nov 4;5:15710. doi: 10.1038/srep15710. Sci Rep. 2015. PMID: 26531245 Free PMC article.

2

Top-down phenomics of Arabidopsis thaliana: metabolic profiling by one- and two-dimensional nuclear magnetic resonance spectroscopy and transcriptome analysis of albino mutants.

Tian C, Chikayama E, Tsuboi Y, Kuromori T, Shinozaki K, Kikuchi J, Hirayama T. Tian C, et al. Among authors: kikuchi j. J Biol Chem. 2007 Jun 22;282(25):18532-18541. doi: 10.1074/jbc.M700549200. Epub 2007 Apr 27. J Biol Chem. 2007. PMID: 17468106 Free article.

3

Statistical indices for simultaneous large-scale metabolite detections for a single NMR spectrum.

Chikayama E, Sekiyama Y, Okamoto M, Nakanishi Y, Tsuboi Y, Akiyama K, Saito K, Shinozaki K, Kikuchi J. Chikayama E, et al. Among authors: kikuchi j. Anal Chem. 2010 Mar 1;82(5):1653-8. doi: 10.1021/ac9022023. Anal Chem. 2010. PMID: 20128615

4

Concentration of metabolites from low-density planktonic communities for environmental metabolomics using nuclear magnetic resonance spectroscopy.

Everroad RC, Yoshida S, Tsuboi Y, Date Y, Kikuchi J, Moriya S. Everroad RC, et al. Among authors: kikuchi j. J Vis Exp. 2012 Apr 7;(62):e3163. doi: 10.3791/3163. J Vis Exp. 2012. PMID: 22508363 Free PMC article.

5

Exploring the conformational space of amorphous cellulose using NMR chemical shifts.

Mori T, Chikayama E, Tsuboi Y, Ishida N, Shisa N, Noritake Y, Moriya S, Kikuchi J. Mori T, et al. Among authors: kikuchi j. Carbohydr Polym. 2012 Oct 15;90(3):1197-203. doi: 10.1016/j.carbpol.2012.06.027. Epub 2012 Jun 19. Carbohydr Polym. 2012. PMID: 22939331 Free article.

6

Integrated analysis of seaweed components during seasonal fluctuation by data mining across heterogeneous chemical measurements with network visualization.

Ito K, Sakata K, Date Y, Kikuchi J. Ito K, et al. Among authors: kikuchi j. Anal Chem. 2014 Jan 21;86(2):1098-105. doi: 10.1021/ac402869b. Epub 2014 Jan 8. Anal Chem. 2014. PMID: 24401131

7

Metabolomic profiling of 13C-labelled cellulose digestion in a lower termite: insights into gut symbiont function.

Tokuda G, Tsuboi Y, Kihara K, Saitou S, Moriya S, Lo N, Kikuchi J. Tokuda G, et al. Among authors: kikuchi j. Proc Biol Sci. 2014 Aug 22;281(1789):20140990. doi: 10.1098/rspb.2014.0990. Proc Biol Sci. 2014. PMID: 25009054 Free PMC article.

8

Biogeochemical typing of paddy field by a data-driven approach revealing sub-systems within a complex environment--a pipeline to filtrate, organize and frame massive dataset from multi-omics analyses.

Ogawa DM, Moriya S, Tsuboi Y, Date Y, Prieto-da-Silva ÁR, Rádis-Baptista G, Yamane T, Kikuchi J. Ogawa DM, et al. Among authors: kikuchi j. PLoS One. 2014 Oct 20;9(10):e110723. doi: 10.1371/journal.pone.0110723. eCollection 2014. PLoS One. 2014. PMID: 25330259 Free PMC article.

9

Comparative metabolomic and ionomic approach for abundant fishes in estuarine environments of Japan.

Yoshida S, Date Y, Akama M, Kikuchi J. Yoshida S, et al. Among authors: kikuchi j. Sci Rep. 2014 Nov 12;4:7005. doi: 10.1038/srep07005. Sci Rep. 2014. PMID: 25387575 Free PMC article.

10

A NMR-based, non-targeted multistep metabolic profiling revealed L-rhamnitol as a metabolite that characterised apples from different geographic origins.

Tomita S, Nemoto T, Matsuo Y, Shoji T, Tanaka F, Nakagawa H, Ono H, Kikuchi J, Ohnishi-Kameyama M, Sekiyama Y. Tomita S, et al. Among authors: kikuchi j. Food Chem. 2015 May 1;174:163-72. doi: 10.1016/j.foodchem.2014.11.028. Epub 2014 Nov 8. Food Chem. 2015. PMID: 25529666

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