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Correlative GC-TOF-MS-based metabolite profiling and LC-MS-based protein profiling reveal time-related systemic regulation of metabolite-protein networks and improve pattern recognition for multiple biomarker selection

MPS-Authors
http://pubman.mpdl.mpg.de/cone/persons/resource/persons97478

Wienkoop,  S.
Integrative Proteomics and Metabolomics, Department Stitt, Max Planck Institute of Molecular Plant Physiology, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons97393

Scholz,  M.
BioinformaticsCRG, Cooperative Research Groups, Max Planck Institute of Molecular Plant Physiology, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons97409

Selbig,  J.
BioinformaticsCRG, Cooperative Research Groups, Max Planck Institute of Molecular Plant Physiology, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons97471

Weckwerth,  W.
Integrative Proteomics and Metabolomics, Department Stitt, Max Planck Institute of Molecular Plant Physiology, Max Planck Society;

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Citation

Morgenthal, K., Wienkoop, S., Scholz, M., Selbig, J., & Weckwerth, W. (2005). Correlative GC-TOF-MS-based metabolite profiling and LC-MS-based protein profiling reveal time-related systemic regulation of metabolite-protein networks and improve pattern recognition for multiple biomarker selection. Metabolomics, 1(2), 109-121. doi:10.1007/s11306-005-4430-9.


Cite as: http://hdl.handle.net/11858/00-001M-0000-0014-2B66-F
Abstract