Metabolomics – the link between genotypes and phenotypes
By Oliver Fiehn. Plant Molecular Biology, 2004
3,941 citations recorded by the source corpus.
Subfields: Molecular Biology, Spectroscopy
View Paper: https://www.semanticscholar.org/paper/c168b99a47b019b0b9a7519e08e49d5798dcf23d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Molecular Biology
- David S. Wishart
- Jianguo Xia
- Oliver Fiehn
- Kazuki Saito
- Wolfram Weckwerth
- Fumio Matsuda
- Royston Goodacre
- Warwick B. Dunn
In Spectroscopy
- David S. Wishart
- Jianguo Xia
- Oliver Fiehn
- Royston Goodacre
- Kazuki Saito
- Jasmine Chong
- Fumio Matsuda
- Matej Oresic
Citations in the corpus
- A tutorial review: Metabolomics and partial least squares-discriminant analysis--a marriage of convenience or a shotgun wedding. (2015, background): “However, compared to the genome and proteome the metabolome is much more complex, for example the plant kingdom as a whole is estimated to contain 200,000 or more metabolites and phytochemicals [43]; moreover, there are currently 41,815 metabolite entries on the human metabolome database [44], a fig”
- Evaluation of extraction processes for intracellular metabolite profiling of mammalian cells: matching extraction approaches to cell type and metabolite targets (2010, background): “2002) and have also been applied in studies in plants and higher eukaryotic systems (Fiehn 2002; Sreekumar et al. 2009).”
- Metabolomics for Investigating Physiological and Pathophysiological Processes. (2019, background): “This massive amplification in concentration arises from the fact that metabolites are the downstream products of multiple intracellular actors including genes, transcriptional activators, RNA transcripts, protein transporters, and enzymes (150).”
- Processing methods for differential analysis of LC/MS profile data (2005, background): “Studies of plant metabolites are a demanding area since plants produce large number of metabolites of high chemical diversity, many of which are unknown [15].”
- Safety of Genetically Engineered Foods. Approaches to Assessing Unintended Health Effects (2005, background): “The total number of different compounds produced by all plants is currently estimated to be between 100,000 and 200,000 and is likely to be several times higher as analytical methodologies improve (Fiehn, 2002).”
- Systems-level metabolic flux profiling identifies fatty acid synthesis as a target for antiviral therapy (2008, background): “1500" language="eng" relation="no"> The capability of mass spectrometry and nuclear magnetic resonance spectroscopy to quantify numerous metabolites simultaneously has given rise to the systems-level examination of metabolites (metabolomics) and their fluxes (fluxomics”
- Using MetaboAnalyst 4.0 for Comprehensive and Integrative Metabolomics Data Analysis (2019, background): “Metabolomics is commonly considered as “the new kid on the ‘omics’ block,” having really only emerged in the last 18 years (Fiehn, 2002).”
- Phenolic Compounds: Introduction 50 (2013, background): “The primary metabolites include metabolites such as sugars, fatty acids, amino, and nucleic acids, as well as chemicals considered ubiquitous to all plants for growth and development [1, 2].”
- Observing and Interpreting Correlations in Metabolic Networks (2003, background): “Metabolomics has the ultimate goal of providing a comprehensive and unbiased identification and quantification of all metabolites present in a biological sample (Sauter et al., 1991; Tweeddale et al., 1998; Oliver et al., 1998; Fiehn, 2002).”
- Metabolomics by numbers: acquiring and understanding global metabolite data. (2004, background): “understandable at present; for example, there are estimated to be up to 200 000 different metabolites in the plant kingdom [ 6 ] and, even though the numbers might be significantly smaller in individual mammalian systems, the fate of a toxin can lead to a plethora of intermediates and products befor”
- Competitive fragmentation modeling of ESI-MS/MS spectra for putative metabolite identification (2013, background): “However, set against the more than 19 million chemical structures in the Pubchem Compound database (Bolton et al 2008), an estimated 200,000 plant metabolites (Fiehn 2002), or even the 32,801 manually annotated entries in the database of Chemical Entities of Biological Interest (ChEBI) (Hastings et ”