Choosing an Optimal Sample Preparation in Caulobacter crescentus for Untargeted Metabolomics Approaches.

ABSTRACT: Untargeted metabolomics aims to provide a global picture of the metabolites present in the system under study. To this end, making a careful choice of sample preparation is mandatory to obtain reliable and reproducible biological information. In this study, eight different sample preparation techniques were evaluated using Caulobacter crescentus as a model for Gram-negative bacteria. Two cell retrieval systems, two quenching and extraction solvents, and two cell disruption procedures were combined in a full factorial experimental design. To fully exploit the multivariate structure of the generated data, the ANOVA multiblock orthogonal partial least squares (AMOPLS) algorithm was employed to decompose the contribution of each factor studied and their potential interactions for a set of anno

SUBMITTER: Pezzatti J 

PROVIDER: S-EPMC6836107 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature