Author

G. Koellensperger

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Biochemistry· 3 Cancer Biology· 2

Signature Assays, Organisms & Methods

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Assay:metabolomics· 4 Organism:human· 3 Approach:experimental assay· 2 Approach:statistical model· 2 Organism:yeast· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1

Frequent Co-Authors

E. Rampler· 3 shared G. Hermann· 2 shared H. Schoeny· 2 shared M. Rusz· 2 shared Y. El Abiead· 2 shared A. Haitel· 1 shared A. Hofer· 1 shared A. Jäger· 1 shared

Activity by Year

2019-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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3 shared papersBiochemistry

E. Rampler

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Author profile →

5 papers

Recent·Most cited

Fatty sweet symphony: Decoding distinct ganglioside patterns of native and differentiated mesenchymal stem cells by a novel glycolipidomics profiling strategy

K. Hohenwallner, N. Troppmair, L. Panzenboeck, C. Kasper, Y. El Abiead, G. Koellensperger, L. M. Lamp, J. Hartler, D. Egger, E. Rampler

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.

bioRxiv · Apr 11, 2022 · PreprintBiochemistry

Thermodynamic genome-scale metabolic modeling of metallodrug resistance in colorectal cancer

H. A. Herrmann, M. Rusz, D. Baier, M. A. Jakupec, B. K. Keppler, W. Berger, G. Koellensperger, J. Zanghellini

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.

bioRxiv · Jun 9, 2021Cancer Biology

A combined flow injection/reversed phase chromatography - high resolution mass spectrometry workflow for accurate absolute lipid quantification with 13C- internal standards

H. Schoeny, E. Rampler, Y. El Abiead, F. Hildebrand, O. Zach, G. Hermann, G. Koellensperger

bioRxiv · Nov 4, 2020Biochemistry

Benchmarking non-targeted metabolomics using yeast derived libraries

E. Rampler, G. Hermann, G. Grabmann, Y. E. Abiead, H. Schoeny, C. Baumgartinger, T. Koecher, G. Koellensperger

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

bioRxiv · Oct 6, 2020Biochemistry

STAT3-dependent systems-level analysis reveals PDK4 as an independent predictor of biochemical recurrence in prostate cancer

M. Oberhuber, M. Pecoraro, M. Rusz, G. Oberhuber, M. Wieselberg, P. Haslinger, E. Gurnhofer, J. Pencik, R. Wiebringhaus, M. Schlederer, T. Weiss, M. Schmeidl, A. Haitel, M. J. Brehme, W. Wadsak, , L. Kenner

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

bioRxiv · Sep 19, 2019Cancer Biology