Potential of metabolomics as a functional genomics tool.

By R. Bino, R. Hall, Oliver Fiehn, Joachim Kopka, Kazuki Saito, J. Draper, Basil J. Nikolau, Pedro Mendes, U. Roessner-Tunali, M. Beale and 4 more. Trends in Plant Science, 2004

767 citations recorded by the source corpus.

Subfields: Molecular Biology

View Paper: https://www.semanticscholar.org/paper/4843a93f004f7d10dc76a226de39ede7cb30b8bc

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Citations in the corpus

Mass spectrometry-based metabolomics. (2007, background): “However, whereas genomics, transcriptomics, and proteomics have made significant strides in technology development, the tools for the comprehensive examination of the metabolome are still emerging (Bino et al., 2004).”
Computational mass spectrometry for small molecules (2013, background): “MIAMET (Minimum Information About a METabolomics experiment) [57] suggests reporting standards regarding experimental design, sample preparation, metabolic profiling design andmeasurements.”
GC–MS libraries for the rapid identification of metabolites in complex biological samples (2005, background): “Most promisingly, first efforts have already been made by the plant metabolomics community to agree on conventions for data formats and the description of metabolomics experiments [13,14].”
GMD@CSB.DB: the Golm Metabolome Database (2005, methodology): “For the exchange of the highly complex experimental background information and data from metabolite profiling experiments we implemented the MIAMET description as suggested by Bino et al. (2004).”
Ecological metabolomics: overview of current developments and future challenges (2011, background): “abolomics can also be coupled to genomic studies for faster determination of the genes involved in adaptive responses (Bino et al. 2004; Oksman-Caldentey and Saito 2005).”
Minimum reporting standards for plant biology context information in metabolomic studies (2007, methodology): “These evolving standards were complemented by demands for ‘Minimum Information About a Metabolomics Experiment’ [MIA-Met] ( Bino et al. 2004 ); which recognized efforts by other communities.”
Metabolomics for functional genomics, systems biology, and biotechnology. (2010, background): “Systematic analyses of the transcriptome and metabolome and correlation of the expression pattern of genes with the accumulation pattern of metabolites have been productive ways to deduce the functions of genes (13, 144, 162, 168).”
Comparative Metabolome Analysis of the Salt Response in Breeding Cultivars of Rice (2007, background): “At the onset of the post-genomic era the concept of metabolome analysis has sparked a new interest in plant metabolism (Trethewey et al. 1999, Fiehn et al. 2000, Fiehn 2002, Sumner et al. 2003, Bino et al. 2004, Fernie et al. 2004, Jenkins et al. 2004, 285 and Salt Tolerant Crops, 285–315.”
Linking aboveground and belowground interactions via induced plant defenses. (2005, background): “…quantify comprehensively all metabolites of an organism [68], and is closely related to other fields in functional genomics, such as proteomics (the comprehensive analysis of all proteins in an organism) and transcriptomics (analysis of the entire gene expression profile of an organism) [13,69].”
Metabolomic analysis of the interaction between plants and herbivores (2009, background): “It is estimated that plants may produce 200,000 metabolites, of which only *10% has been identified to date (Bino et al. 2004).”
MeMo: a hybrid SQL/XML approach to metabolomic data management for functional genomics (2006, unknown): “We have described MeMo, a metabolomics model and data format for yeast, which is MIAMET-compliant [19], i.e. supports the description of the minimum information that should be reported about metabolomic experiments including biological and experimental metadata, a variety of analytical techniques an”