Literature DB >> 35732936

Sample Preparation, Data Acquisition, and Data Analysis for 15N-Labeled and Nonlabeled Monoterpene Indole Alkaloids in Catharanthus roseus.

Ryo Nakabayashi1.   

Abstract

Recent approaches developed in metabolomics using liquid chromatography-tandem mass spectrometry (LC-MS/MS) enabled us to assign a part of specialized metabolites in plants. However, the approaches are not good enough for the rest of the metabolites, which are still unknown. To characterize the unknown metabolites, more appropriate and precise approaches need to be developed. Here, a procedure to analyze 15N-labeled and nonlabeled LC-MS/MS data for identification of monoterpene indole alkaloids was developed.
© 2022. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  15N labeling; MS/MS similarity network analysis; Metabolomics; Monoterpene indole alkaloids; N-containing metabolites

Mesh:

Substances:

Year:  2022        PMID: 35732936     DOI: 10.1007/978-1-0716-2349-7_4

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  30 in total

1.  Systematic structural characterization of metabolites in Arabidopsis via candidate substrate-product pair networks.

Authors:  Kris Morreel; Yvan Saeys; Oana Dima; Fachuang Lu; Yves Van de Peer; Ruben Vanholme; John Ralph; Bartel Vanholme; Wout Boerjan
Journal:  Plant Cell       Date:  2014-03-31       Impact factor: 11.277

2.  Metabolomic markers and physiological adaptations for high phosphate utilization efficiency in rice.

Authors:  Mutsumi Watanabe; Dirk Walther; Yoshiaki Ueda; Katsuhiko Kondo; Satoru Ishikawa; Takayuki Tohge; Asdrubal Burgos; Yariv Brotman; Alisdair R Fernie; Rainer Hoefgen; Matthias Wissuwa
Journal:  Plant Cell Environ       Date:  2020-07-07       Impact factor: 7.228

Review 3.  Higher dimensional metabolomics using stable isotope labeling for identifying the missing specialized metabolism in plants.

Authors:  Ryo Nakabayashi; Kazuki Saito
Journal:  Curr Opin Plant Biol       Date:  2020-05-07       Impact factor: 7.834

4.  Genome-wide association analyses provide genetic and biochemical insights into natural variation in rice metabolism.

Authors:  Wei Chen; Yanqiang Gao; Weibo Xie; Liang Gong; Kai Lu; Wensheng Wang; Yang Li; Xianqing Liu; Hongyan Zhang; Huaxia Dong; Wan Zhang; Lejing Zhang; Sibin Yu; Gongwei Wang; Xingming Lian; Jie Luo
Journal:  Nat Genet       Date:  2014-06-08       Impact factor: 38.330

5.  Comprehensive mass spectrometry-guided phenotyping of plant specialized metabolites reveals metabolic diversity in the cosmopolitan plant family Rhamnaceae.

Authors:  Kyo Bin Kang; Madeleine Ernst; Justin J J van der Hooft; Ricardo R da Silva; Junha Park; Marnix H Medema; Sang Hyun Sung; Pieter C Dorrestein
Journal:  Plant J       Date:  2019-03-25       Impact factor: 6.417

6.  Quantitative trait loci analysis of seed-specialized metabolites reveals seed-specific flavonols and differential regulation of glycoalkaloid content in tomato.

Authors:  Saleh Alseekh; Itai Ofner; Zhongyuan Liu; Sonia Osorio; Jose Vallarino; Robert L Last; Dani Zamir; Takayuki Tohge; Alisdair R Fernie
Journal:  Plant J       Date:  2020-07-22       Impact factor: 6.417

7.  HEAT INDUCIBLE LIPASE1 Remodels Chloroplastic Monogalactosyldiacylglycerol by Liberating α-Linolenic Acid in Arabidopsis Leaves under Heat Stress.

Authors:  Yasuhiro Higashi; Yozo Okazaki; Kouji Takano; Fumiyoshi Myouga; Kazuo Shinozaki; Eva Knoch; Atsushi Fukushima; Kazuki Saito
Journal:  Plant Cell       Date:  2018-07-02       Impact factor: 11.277

8.  MS-DIAL: data-independent MS/MS deconvolution for comprehensive metabolome analysis.

Authors:  Hiroshi Tsugawa; Tomas Cajka; Tobias Kind; Yan Ma; Brendan Higgins; Kazutaka Ikeda; Mitsuhiro Kanazawa; Jean VanderGheynst; Oliver Fiehn; Masanori Arita
Journal:  Nat Methods       Date:  2015-05-04       Impact factor: 28.547

9.  Characterization of a recently evolved flavonol-phenylacyltransferase gene provides signatures of natural light selection in Brassicaceae.

Authors:  Takayuki Tohge; Regina Wendenburg; Hirofumi Ishihara; Ryo Nakabayashi; Mutsumi Watanabe; Ronan Sulpice; Rainer Hoefgen; Hiromitsu Takayama; Kazuki Saito; Mark Stitt; Alisdair R Fernie
Journal:  Nat Commun       Date:  2016-08-22       Impact factor: 14.919

10.  Comparative spatial lipidomics analysis reveals cellular lipid remodelling in different developmental zones of barley roots in response to salinity.

Authors:  Lenin D Sarabia; Berin A Boughton; Thusitha Rupasinghe; Damien L Callahan; Camilla B Hill; Ute Roessner
Journal:  Plant Cell Environ       Date:  2019-11-29       Impact factor: 7.228

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