G. Koellensperger

This paper introduces a novel glycolipidomics strategy to analyze ganglioside patterns in human mesenchymal stem cells, identifying new species and revealing cell-state-specific markers.

The paper uses metabolomics and metabolic modeling to compare drug-sensitive and -resistant colorectal cancer cells, highlighting the importance of normalization in identifying drug-specific metabolic changes.

This paper benchmarks non-targeted metabolomics using yeast-derived libraries to assess method performance and enable batch corrections in large-scale studies.

The paper identifies PDK4 as an independent prognostic marker for prostate cancer recurrence using gene co-expression networks and proteomics data.