Description
Plant Metabolomics, 1st ed. 2018
Methods and Protocols
Methods in Molecular Biology Series, Vol. 1778
Language: EnglishSubject for Plant Metabolomics:
Publication date: 12-2019
355 p. · 17.8x25.4 cm · Paperback
Publication date: 05-2018
Support: Print on demand
Description
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Part I: Review Chapters
1. The Importance of Experimental Design, Quality Assurance, and Control in Plant Metabolomics Experiments
Marina C.M. Martins, Camila Caldana, Lucia Daniela Wolf, and Luis Guilherme Furlan de Abreu
2. Standard Key Steps in Mass Spectrometry-Based Plant Metabolomics Experiments: Instrument Performance and Analytical Method Validation
Ana Margarida Rodrigues and Carla António
3. Guidelines for Sample Normalization to Minimize Batch Variation for Large-Scale Metabolic Profiling of Plant Natural Genetic Variance
Saleh Alseekh, Si Wu, Yariv Brotman, and Alisdair R. Fernie
4. Gas Chromatography-Mass Spectrometry-Based 13C-Labeling Studies in Plant Metabolomics
Valéria F. Lima, Leonardo P. Souza, Thomas C.R. Williams, Alisdair R. Fernie, and Danilo M. Daloso
5. Carbon Atomic Survey for Identification of Selected Metabolic Fluxes
Leonardo Perez de Souza, Alisdair R. Fernie, and Takayuki Tohge
Part II: Mass Spectrometry-Based Methodology Chapters
6. Quantification of Low-Abundant Phosphorylated Carbohydrates Using HILIC-QqQ-MS/MS
Tiago F. Jorge and Carla António
7. Quantification of Soluble Sugars and Sugar Alcohols by LC-MS/MS
Regina Feil and John Edward Lunn
8. Untargeted Analysis of Semi-Polar Compounds by LC-MS and Targeted Analysis of Fatty Acids by GC-MS/GC-FID: From Plant Cultivation to Extract Preparation
Camille Bénard, Sébastien Acket, Yannick Rossez, Olivier Fernandez, Thierry Berton, Yves Gibon, and Cécile Cabasson
9. Extraction of Plant Lipids for LC-MS-Based Untargeted Plant Lipidomics
Thusitha W.T. Rupasinghe and Ute Roessner
10. Semi-Targeted Lipidomics of Plant Acyl Lipids Using UPLC-HR-MS in Combination with a Data-Independent Acquisition Mode
Mohamed A. Salem and Patrick Giavalisco
11. Plant Lipidomics Using UPLC-QTOF-MS
Yozo Okazaki and Kazuki Saito
12. Targeted LC-MS Analysis for Plant Secondary Metabolites
Takafumi Shimizu, Mutsumi Watanabe, Alisdair R. Fernie, and Takayuki Tohge
13. An UHPLC–MS/MS Method for Target Profiling of Stress-Related Phytohormones
Ondřej Novák and Kristýna Floková
14. A Complete Pipeline for Generating a High-Resolution LC-MS-Based Reference Mass Spectra Library
Nir Shahaf, Asaph Aharoni, and Ilana Rogachev
15. Quantification of Sugars and Organic Acids in Biological Matrices Using GC-QqQ-MS
Nirupama Samanmalie Jayasinghe, Himasha Mendis, Ute Roessner, and Daniel Anthony Dias
16. Acquisition of Volatile Compounds by Gas Chromatography-Mass Spectrometry (GC-MS)
José G. Vallarino, Alexander Erban, Ines Fehrle, Alisdair R. Fernie, Joachim Kopka, and Sonia Osorio
17. Mass Spectrometry Imaging (MSI) for Plant Metabolomics
Berin A. Boughton and Dinaiz Thinagaran
18. Laser Ablation Electrospray Ionization-Mass Spectrometry Imaging (LAESI-MS) for Spatially Resolved Plant Metabolomics
Desalegn Etalo, Carmen Díez-Simón, Ric C.H. de Vos, and Robert D. Hall
19. Live Single-Cell Mass Spectrometry (LSC-MS) for Plant Metabolomics
Keiko Masuda, Yasmine Abouleila, Ahmed Ali, Toshio Yanagida, and Tsutomu Masujima
Part III: Data Analysis & Statistics Chapters
20. Statistical and Multivariate Analysis of MS-Based Plant Metabolomics Data
Carsten Jaeger and Jan Lisec
21. Integration of Plant Metabolomics Data into Metabolic Networks: Progresses and Challenges
Nadine Töpfer, Samuel M.D. Seaver, and Asaph Aharoni
22. Understanding the Functionality of a Biological System as a Whole: Comparative Data Analysis
Isabel Orf
23. Regression-Based Modeling of Complex Plant Traits Based on Metabolomics Data
Francisco de Abreu e Lima, Lydia Leifels, and Zoran Nikoloski
24. Mathematical Modeling Approaches in Plant Metabolomics
Lisa Fürtauer, Jakob Weiszmann, Wolfram Weckwerth, and Thomas Nägele
Includes cutting-edge methods and protocols for the study of plant metabolomics
Provides step-by-step detail essential for reproducible results
Contains key notes and implementation advice from the experts