Optimized Method for Untargeted Metabolomics Analysis of MDA-MB-231 Breast Cancer Cells.

ABSTRACT: Cancer cells often have dysregulated metabolism, which is largely characterized by the Warburg effect-an increase in glycolytic activity at the expense of oxidative phosphorylation-and increased glutamine utilization. Modern metabolomics tools offer an efficient means to investigate metabolism in cancer cells. Currently, a number of protocols have been described for harvesting adherent cells for metabolomics analysis, but the techniques vary greatly and they lack specificity to particular cancer cell lines with diverse metabolic and structural features. Here we present an optimized method for untargeted metabolomics characterization of MDA-MB-231 triple negative breast cancer cells, which are commonly used to study metastatic breast cancer. We found that an approach that extracted all meta

SUBMITTER: Peterson AL 

PROVIDER: S-EPMC5192436 | biostudies-literature | 2016 Sep

REPOSITORIES: biostudies-literature