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- W2108939148 abstract "In recent years, genomics has been extended to functional genomics. Toward the characterization of organisms or species on the genome level, changes on the metabolite and protein level have been shown to be essential to assign functions to genes and to describe the dynamic molecular phenotype. Gas chromatography (GC) and liquid chromatography coupled to mass spectrometry (GC‐ and LC‐MS) are well suited for the fast and comprehensive analysis of ultracomplex metabolite samples. For the integration of metabolite profiles with quantitative protein profiles, a high throughput (HTP) shotgun proteomics approach using LC‐MS and label‐free quantification of unique proteins in a complex protein digest is described. Multivariate statistics are applied to examine sample pattern recognition based on data‐dimensionality reduction and biomarker identification in plant systems biology. The integration of the data reveal multiple correlative biomarkers providing evidence for an increase of information in such holistic approaches. With computational simulation of metabolic networks and experimental measurements, it can be shown that biochemical regulation is reflected by metabolite network dynamics measured in a metabolomics approach. Examples in molecular plant physiology are presented to substantiate the integrative approach." @default.
- W2108939148 created "2016-06-24" @default.
- W2108939148 creator A5060741375 @default.
- W2108939148 date "2008-01-09" @default.
- W2108939148 modified "2023-10-07" @default.
- W2108939148 title "Integration of metabolomics and proteomics in molecular plant physiology - coping with the complexity by data-dimensionality reduction" @default.
- W2108939148 cites W1525575010 @default.
- W2108939148 cites W1545513697 @default.
- W2108939148 cites W1549912426 @default.
- W2108939148 cites W1597678601 @default.
- W2108939148 cites W1607386266 @default.
- W2108939148 cites W1797956629 @default.
- W2108939148 cites W1831104462 @default.
- W2108939148 cites W193251306 @default.
- W2108939148 cites W1968813633 @default.
- W2108939148 cites W1969536203 @default.
- W2108939148 cites W1970696723 @default.
- W2108939148 cites W1975938671 @default.
- W2108939148 cites W1977520360 @default.
- W2108939148 cites W1977810839 @default.
- W2108939148 cites W1978781045 @default.
- W2108939148 cites W1981593008 @default.
- W2108939148 cites W1996787813 @default.
- W2108939148 cites W1997504014 @default.
- W2108939148 cites W2004496597 @default.
- W2108939148 cites W2009749555 @default.
- W2108939148 cites W2012540088 @default.
- W2108939148 cites W2023096047 @default.
- W2108939148 cites W2023165792 @default.
- W2108939148 cites W2024196928 @default.
- W2108939148 cites W2026465178 @default.
- W2108939148 cites W2027007087 @default.
- W2108939148 cites W2027234736 @default.
- W2108939148 cites W2028421938 @default.
- W2108939148 cites W2031190866 @default.
- W2108939148 cites W2031818334 @default.
- W2108939148 cites W2034354682 @default.
- W2108939148 cites W2047899815 @default.
- W2108939148 cites W2050226999 @default.
- W2108939148 cites W2050353916 @default.
- W2108939148 cites W2053489167 @default.
- W2108939148 cites W2059164480 @default.
- W2108939148 cites W2059565787 @default.
- W2108939148 cites W2060811342 @default.
- W2108939148 cites W2061498815 @default.
- W2108939148 cites W2065720951 @default.
- W2108939148 cites W2066430450 @default.
- W2108939148 cites W2070144623 @default.
- W2108939148 cites W2070624004 @default.
- W2108939148 cites W2072040767 @default.
- W2108939148 cites W2078700686 @default.
- W2108939148 cites W2083289560 @default.
- W2108939148 cites W2083654570 @default.
- W2108939148 cites W2087969278 @default.
- W2108939148 cites W2088185375 @default.
- W2108939148 cites W2088261915 @default.
- W2108939148 cites W2091177558 @default.
- W2108939148 cites W2095448912 @default.
- W2108939148 cites W2095556056 @default.
- W2108939148 cites W2098562143 @default.
- W2108939148 cites W2101683626 @default.
- W2108939148 cites W2103133750 @default.
- W2108939148 cites W2113153354 @default.
- W2108939148 cites W2114390083 @default.
- W2108939148 cites W2117582795 @default.
- W2108939148 cites W2122245835 @default.
- W2108939148 cites W2122827157 @default.
- W2108939148 cites W2127526794 @default.
- W2108939148 cites W2132293500 @default.
- W2108939148 cites W2132680932 @default.
- W2108939148 cites W2137591509 @default.
- W2108939148 cites W2138889086 @default.
- W2108939148 cites W2140946052 @default.
- W2108939148 cites W2142087433 @default.
- W2108939148 cites W2147443546 @default.
- W2108939148 cites W2150893146 @default.
- W2108939148 cites W2159358127 @default.
- W2108939148 cites W2166430819 @default.
- W2108939148 cites W2166946825 @default.
- W2108939148 cites W2170676214 @default.
- W2108939148 cites W2171887223 @default.
- W2108939148 cites W2473539983 @default.
- W2108939148 doi "https://doi.org/10.1111/j.1399-3054.2007.01011.x" @default.
- W2108939148 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/18251859" @default.
- W2108939148 hasPublicationYear "2008" @default.
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