Metabolomics

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Metabolite Profiling of wildtype and overexpression Arabidopsis thaliana


ABSTRACT: We use metabolite profiles of the model plant Arabidopsis thaliana measured on an UPLC-ESI/QqTOF-MS to evaluate uni- and multivariate statistical analysis of redundant features in compound spectra. Comparison was performed between the wild-type Col-0 and the 90.32 mutant. The mutant is a transposon based activation tagged A. th. line from the TAMARA population Schneider et al. [2005]. This particular mutant has an over-expression of the AT5G55880 - AT5G55890 genetic region with unknown function.

INSTRUMENT(S): micrOTOF-Q II ESI-Qq-TOF (Bruker)

SUBMITTER: Steffen Neumann 

PROVIDER: MTBLS169 | MetaboLights | 2015-09-15

REPOSITORIES: MetaboLights

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Publications

Joint Analysis of Dependent Features within Compound Spectra Can Improve Detection of Differential Features.

Trutschel Diana D   Schmidt Stephan S   Grosse Ivo I   Neumann Steffen S  

Frontiers in bioengineering and biotechnology 20150924


Mass spectrometry is an important analytical technology in metabolomics. After the initial feature detection and alignment steps, the raw data processing results in a high-dimensional data matrix of mass spectral features, which is then subjected to further statistical analysis. Univariate tests like Student's t-test and Analysis of Variances (ANOVA) are hypothesis tests, which aim to detect differences between two or more sample classes, e.g., wildtype-mutant or between different doses of treat  ...[more]

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