High-throughput phenomics: experimental methods for mapping fluxomes.
Many technologies have been developed to help explain the phenotypic consequences of genetic and/or environmental modifications in areas like functional genomics, pharmaceutical research and metabolic engineering. The missing link in contemporary functional analyses that focus on the analysis of cellular components is the capacity to directly observe functional units. By linking genes and proteins to higher level biological functions, the molecular fluxes through metabolic networks (the fluxome) determine the cellular phenotype. Quantitative monitoring of such whole network operations by methods of metabolic flux analysis, thus bridges the gap by providing a global perspective of the integrated regulation at the transcriptional, translational and metabolic level. This review highlights recent developments towards high-throughput flux analysis.
Sauer
Uwe
U
Institute of Biotechnology, ETH Zürich, CH-8093 Zürich, Switzerland. sauer@biotech.biol.ethz.ch
D000818:Animals; D002247:Carbon Isotopes; D018929:Cell Culture Techniques / Q000379:methods / Q000639:trends; D002468:Cell Physiological Phenomena; D020869:Gene Expression Profiling / Q000379:methods* / Q000639:trends; D005786:Gene Expression Regulation / Q000502:physiology*; D006801:Humans; D013058:Mass Spectrometry / Q000379:methods*; D010641:Phenotype; D025941:Protein Interaction Mapping / Q000379:methods* / Q000639:trends; D011506:Proteins / Q000378:metabolism*; D040901:Proteomics / Q000379:methods* / Q000639:trends; D015398:Signal Transduction / Q000502:physiology
D002247:Carbon Isotopes; D011506:Proteins