GC-MS Metabolomics and Antifungal Characteristics of Autochthonous Lactobacillus Strains

Analytical challenges of untargeted GC-MS-based metabolomics

A challenge of metabolomics is data processing the enormous : Background amount of information generated by sophisticated analytical techniques. The raw data of an untargeted metabolomic experiment are composited with unwanted biological and technical variations that confound the biological variations of interest. The art of data normalisation to offset these variations and/or eliminate experim...

GC-MS metabolomics on PPARα-dependent exacerbation of colitis.

Fenofibrate, a peroxisome proliferator-activated receptor α (PPARα) agonist, was found to exacerbate inflammation and tissue injury in experimental acute colitis mice. Through lipidomics analysis, bioactive sphingolipids were significantly up-regulated in the colitis group. In this study, to provide further insight into the PPARα-dependent exacerbation of colitis, gas chromatography-mass spectr...

Analysis of GC-MS metabolomics data with metaMS

Many packages are available for the analysis of data from GC-MS and LC-MS experiments – typically, hardware vendors provide software that is optimized for the instrument and allow for a direct interaction of the lab scientist with the data. For high-throughput applications, however, more automatic pipelines are needed. Open-source alternatives such as xcms [1] not only are able to handle data f...

Application of GC / MS and GC / FID - based metabolomics for authentication of Asian palm civet coffee (

Metabolomics Application of GC/MS and GC/FID-based metabolomics for authentication of Asian palm civet coffee (Kopi Luwak) Kopi Luwak, world’s most expensive coffee firstly originated from Indonesia, is made from coffee berries that have been digested by the animal Asian palm civet (Paradoxurus hemaphroditus). Despite its profitable prospect, there is no reliable and standardized method for det...

Integrated Transcriptomics and Metabolomics Study of Retinoblastoma Using Agilent Microarrays and LC/MS/GC/MS Platforms