Please use this identifier to cite or link to this item: https://doi.org/10.1007/978-1-62703-613-9_19
Title: Plant metabolomics: From experimental design to knowledge extraction
Authors: Rai, A.
Umashankar, S.
Swarup, S. 
Keywords: Arabidopsis
Extraction
Fragmentation of metabolites
Homogenization
LCMS
Metabolic profiling
Metabolite identification
Metabolomics data mining
Issue Date: 2013
Citation: Rai, A.,Umashankar, S.,Swarup, S. (2013). Plant metabolomics: From experimental design to knowledge extraction. Methods in Molecular Biology 1069 : 279-312. ScholarBank@NUS Repository. https://doi.org/10.1007/978-1-62703-613-9_19
Abstract: Metabolomics is one of the most recent additions to the functional genomics approaches. It involves the use of analytical chemistry techniques to provide high-density data of metabolic profiles. Data is then analyzed using advanced statistics and databases to extract biological information, thus providing the metabolic phenotype of an organism. Large variety of metabolites produced by plants through the complex metabolic networks and their dynamic changes in response to various perturbations can be studied using metabolomics. Here, we describe the basic features of plant metabolic diversity and analytical methods to describe this diversity, which includes experimental workflows starting from experimental design, sample preparation, hardware and software choices, combined with knowledge extraction methods. Finally, we describe a scenario for using these workflows to identify differential metabolites and their pathways from complex biological samples. © 2013 Springer Science+Business Media, LLC.
Source Title: Methods in Molecular Biology
URI: http://scholarbank.nus.edu.sg/handle/10635/101408
ISBN: 9781627036122
ISSN: 10643745
DOI: 10.1007/978-1-62703-613-9_19
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