Exploring the Arabidopsis sulfur metabolome-Reference-Cited by-同舟云学术

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Exploring the Arabidopsis sulfur metabolome

Published:2013-11-29 Issue:1 Volume:77 Page:31-45
ISSN:0960-7412
Container-title:The Plant Journal
language:en
Short-container-title:Plant J

Author:

Gläser Katharina¹,Kanawati Basem²,Kubo Tobias³,Schmitt-Kopplin Philippe²,Grill Erwin¹

Affiliation:

1. Lehrstuhl für Botanik; Technische Universität München; Emil-Ramann Straße 4 D-85354 Freising Germany

2. Analytical Biogeochemistry; Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt; D-85764 Neuherberg Germany

3. Anorganisch-Chemisches Institut; Technische Universität München; Poststelle Alte Akademie 1 85354 Freising Germany

Publisher

Wiley

Subject

Cell Biology,Plant Science,Genetics

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/tpj.12359/fullpdf

Reference86 articles.

1. KNApSAcK family databases: integrated metabolite-plant species databases for multifaceted plant research;Afendi;Plant Cell Physiol.,2012

2. Glucosinolate structures in evolution;Agerbirk;Phytochemistry,2012

3. Fourier transform ion cyclotron resonance mass spectrometry for plant metabolite profiling and metabolite identification;Allwood;Methods Mol. Biol.,2012

4. A systematic comparison of the MetaCyc and KEGG pathway databases;Altman;BMC Bioinformatics,2013

5. Phytochelatin synthase catalyzes key step in turnover of glutathione conjugates;Beck;Phytochemistry,2003

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1. Adaptive modifications in plant sulfur metabolism over evolutionary time;Journal of Experimental Botany;2024-06-06

2. Beyond NPK: Mineral Nutrient-Mediated Modulation in Orchestrating Flowering Time;Plants;2023-09-18

3. Microbes-mediated sulphur cycling in soil: Impact on soil fertility, crop production and environmental sustainability;Microbiological Research;2023-06

4. Degradation of glutathione and glutathione conjugates in plants;Journal of Experimental Botany;2023-01-18

5. Chemoinformatics-driven classification of Angiosperms using sulfur-containing compounds and machine learning algorithm;Plant Methods;2022-11-05

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