Author

M. Rusz

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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Cancer Biology· 2

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Research Focus:metabolism & bioenergetics· 1 Assay:metabolomics· 1 Organism:mouse· 1

Frequent Co-Authors

G. Koellensperger· 2 shared A. Haitel· 1 shared A. Hofer· 1 shared A. Jäger· 1 shared B. Hantusch· 1 shared B. K. Keppler· 1 shared D. Baier· 1 shared E. Gurnhofer· 1 shared

Activity by Year

2019-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersCancer Biology

G. Koellensperger

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2 papers

Recent·Most cited

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

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