TY - JOUR
T1 - Parallel analysis of transcript and metabolic profiles
T2 - A new approch in systems biology
AU - Urbanczyk-Wochniak, Ewa
AU - Leudemann, Alexander
AU - Kopka, Joachim
AU - Selbig, Joachim
AU - Roessner-Tunali, Ute
AU - Willmitzer, Lothar
AU - Fernie, Alisdair R.
PY - 2003
Y1 - 2003
N2 - The past few years in the medical and biological sciences have been characterized by the advent of systems biology. However, despite the well-known connectivity between the molecules described by transcriptomic, proteomic and metabolomic approaches, few studies have tried to correlate parameters across the various levels of systemic description. When comparing the discriminatory power of metabolic and RNA profiling to distinguish between different potato tuber systems, using the techniques described here suggests that metabolic profiling has a higher resolution than expression profiling. When applying pairwise transcript-metabolite correlation analyses, 571 of the 26,616 possible pairs showed significant correlation, most of which was novel and included several strong correlations to nutritionally important metabolites. We believe this approach to be of high potential value in the identification of candidate genes for modifying the metabolite content of biological system.
AB - The past few years in the medical and biological sciences have been characterized by the advent of systems biology. However, despite the well-known connectivity between the molecules described by transcriptomic, proteomic and metabolomic approaches, few studies have tried to correlate parameters across the various levels of systemic description. When comparing the discriminatory power of metabolic and RNA profiling to distinguish between different potato tuber systems, using the techniques described here suggests that metabolic profiling has a higher resolution than expression profiling. When applying pairwise transcript-metabolite correlation analyses, 571 of the 26,616 possible pairs showed significant correlation, most of which was novel and included several strong correlations to nutritionally important metabolites. We believe this approach to be of high potential value in the identification of candidate genes for modifying the metabolite content of biological system.
UR - http://www.scopus.com/inward/record.url?scp=0242607632&partnerID=8YFLogxK
U2 - 10.1038/sj.embor.embor944
DO - 10.1038/sj.embor.embor944
M3 - Article
SN - 1469-221X
VL - 4
SP - 989
EP - 993
JO - EMBO Reports
JF - EMBO Reports
IS - 10
ER -