Model-independent fluxome profiling from 2H and 13C experiments for metabolic variant discrimination -: art. no. R99

被引：22

作者：

Zamboni, N ^{[1
]}

Sauer, U ^{[1
]}

机构：

[1] ETH, Inst Biotechnol, CH-8093 Zurich, Switzerland

来源：

GENOME BIOLOGY | 2004年 / 5卷 / 12期

关键词：

D O I：

10.1186/gb-2004-5-12-r99

中图分类号：

Q81 [生物工程学（生物技术）]; Q93 [微生物学];

学科分类号：

071005 ; 0836 ; 090102 ; 100705 ;

摘要：

We introduce a conceptually novel method for intracellular fluxome profiling from unsupervised statistical analysis of stable isotope labeling. Without a priori knowledge on the metabolic system, we identified characteristic flux fingerprints in 10 Bacillus subtilis mutants from 132 H-2 and C-13 tracer experiments. Beyond variant discrimination, independent component analysis automatically mapped several fingerprints to their metabolic determinants. The approach is flexible and paves the way to large-scale fluxome profiling of any biological system and condition.

引用

页数：12

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