Author

T. G. Grunewald

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· 1 Cell Biology· 1 Immunology· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Research Focus:cell type annotation· 2 Research Focus:differential expression· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:cancer & tumor microenvironment· 1 Approach:deep learning· 1 Approach:experimental assay· 1

Frequent Co-Authors

A. Kahler· 1 shared A. Kirschner· 1 shared A. Marchetto· 1 shared A. N. Akatli· 1 shared A. S. Reichert· 1 shared A. Schulze· 1 shared A. Vargas-Toscano· 1 shared A. Zinovyev· 1 shared

Activity by Year

2017-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 18 mutual co-author links

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1 shared paperCell Biology

A. Kahler

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

4EBP1/2 support tumorigenicity and cell survival during energetic stress by translationally regulating fatty acid synthesis

T. Levy, K. Voeltzke, L. Hauffe, K. Alasad, M. Snaebjornsson, R. Marciano, K. Scharov, M. Planque, K. Vriens, S. Christen, C. M. Funk, C. Hassiepen, A. Kahler, B. Heider, D. Picard, , G. Leprivier

This study shows 4EBP1/2 promote cell survival under glucose starvation by repressing fatty acid synthesis and maintaining redox balance, supporting tumorigenicity in cancer cells.

bioRxiv · Sep 9, 2022 · PreprintCell Biology

Transcriptional programs define intratumoral heterogeneity of Ewing sarcoma at single cell resolution

M.-M. Aynaud, O. Mirabeau, N. Gruel, S. Grossetete-Lalami, V. Boeva, S. Durand, D. Surdez, O. Saulnier, S. Zaidi, S. Gribkova, U. Kairov, V. Raynal, F. Tirode, T. G. Grunewald, M. Bohec, , A. Zinovyev

This study identifies transcriptional programs driving intratumoral heterogeneity in Ewing sarcoma using single-cell RNA-sequencing and chromatin analysis.

bioRxiv · Apr 30, 2019Cancer Biology

Systematic identification of cancer-specific MHC-binding peptides with RAVEN

M. C. Baldauf, J. S. Gerke, A. Kirschner, F. Blaeschke, M. Effenberger, K. Schober, R. Alba Rubio, T. Kanaseki, M. M. Kiran, M. Dallmayer, J. Musa, N. Akpolat, A. N. Akatli, F. C. Rosman, O. Ozen, , T. G. Grunewald

The paper introduces RAVEN, a software tool that identifies cancer-specific genes encoding MHC-affine peptides from gene expression data, validated across 50 cancer types.

bioRxiv · Sep 24, 2017Immunology