Author

S. Huettelmaier

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 Biochemistry· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 3 Research Focus:cell type annotation· 2 Research Focus:drug response / drug discovery· 2 Organism:human· 2 Assay:proteomics· 2 Approach:biophysical modeling· 1 Assay:bulk RNA-seq· 1 Research Focus:cancer & tumor microenvironment· 1

Frequent Co-Authors

A. Sinz· 2 shared C. Ihling· 2 shared D. Misiak· 2 shared N. Bley· 2 shared S. Hagemann· 2 shared T. Fuchs· 2 shared A. Kehlen· 1 shared A. Schott· 1 shared

Activity by Year

2020-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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2 shared papersCancer Biology

A. Sinz

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

IGF2BP1 induces high-risk neuroblastoma and forms a druggable feedforward loop with MYCN promoting 17q oncogene expression

S. Hagemann, D. Misiak, J. L. Bell, T. Fuchs, M. I. Lederer, N. Bley, M. Haemmerle, E. Ghazy, W. Sippl, J. H. Schulte, S. Huettelmaier

This paper identifies a druggable feedforward loop between IGF2BP1 and MYCN in high-risk neuroblastoma that promotes oncogene expression and relapse, suggesting combined targeting as a therapeutic strategy.

bioRxiv · Mar 18, 2023Cancer Biology

IGF2BP1 is a targetable SRC/MAPK-dependent driver of invasive growth in ovarian cancer

N. Bley, A. Schott, S. Mueller, D. Misiak, M. Lederer, T. Fuchs, C. Assmann, M. Glass, C. Ihling, A. Sinz, N. Pazaitis, C. Wickenhauser, M. Vetter, O. Ungurs, H.-G. Strauss, , S. Huettelmaier

This study identifies IGF2BP1 as a driver of invasive growth in ovarian cancer through SRC/MAPK signaling, showing that combinatorial SRC/MEK inhibition is effective in treating mesenchymal-like HG-SOC.

bioRxiv · Jun 19, 2020Cancer Biology

Mass Spectrometric Identification of SARS-CoV-2 Proteins from Gargle Solution Samples of COVID-19 Patients

C. Ihling, D. Taenzler, S. Hagemann, A. Kehlen, S. Huettelmaier, A. Sinz

The paper develops an MS-based method to detect SARS-CoV-2 proteins in gargle samples from COVID-19 patients using acetone precipitation and targeted MS analysis.

bioRxiv · Apr 18, 2020Biochemistry