Document Detail


Methods for improving the visualization and deconvolution of isotopic signals.
MedLine Citation:
PMID:  17617817     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Stable isotopes and their associated mechanistic frameworks have provided the means to model biological transformations from inorganic sources to organic sinks, and their impact on long-term terrestrial carbon reservoirs. However, stable isotopes have also the potential to diagnose the mechanisms by which biological systems operate, when using 'multidimensional' analyses of the isotopic outputs. For this purpose, we suggest that isotopic signals may be treated as mathematical vectors to reveal their interrelationships. These visualizations may be achieved, thanks to multidimensional representations (the 'isotopology' method), or by appreciating the colinearity of isotopic vectors to develop a clustering analysis (the 'isotopomic' method) similar to that used in molecular biology. Both methods converge to the same mathematical form, i.e. both lead to a covariation approach. Using simple practical examples, we argue that such procedures allow the deconvolution of plant biological systems by revealing the hierarchy of contributory physiological processes.
Authors:
Guillaume Tcherkez; Jaleh Ghashghaie; Howard Griffiths
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Plant, cell & environment     Volume:  30     ISSN:  0140-7791     ISO Abbreviation:  Plant Cell Environ.     Publication Date:  2007 Aug 
Date Detail:
Created Date:  2007-07-09     Completed Date:  2007-10-11     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9309004     Medline TA:  Plant Cell Environ     Country:  United States    
Other Details:
Languages:  eng     Pagination:  887-91     Citation Subset:  IM    
Affiliation:
Plateforme Métabolisme-Métabolome, IFR 87, Bât. 630, Université Paris Sud-XI, 91405 Orsay cedex, France. guillaume.tcherkez@u-psud.fr
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MeSH Terms
Descriptor/Qualifier:
Carbon / metabolism
Carbon Isotopes / analysis*,  chemistry
Cluster Analysis
Data Interpretation, Statistical
Models, Biological
Plants / chemistry*,  metabolism
Chemical
Reg. No./Substance:
0/Carbon Isotopes; 7440-44-0/Carbon

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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