Author

H. G. Stunnenberg

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· 6 Immunology· 1

Signature Assays, Organisms & Methods

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Organism:human· 7 Approach:statistical model· 5 Research Focus:cell type annotation· 4 Approach:experimental assay· 4 Research Focus:chromatin & epigenetic regulation· 3 Assay:bulk RNA-seq· 2 Assay:ChIP-seq· 2 Research Focus:clustering· 2

Frequent Co-Authors

P. Brazda· 3 shared W. Megchelenbrink· 2 shared A. B. Brinkman· 1 shared A. Butler· 1 shared A. C. Rios· 1 shared A. Carrasco· 1 shared A. Cleven· 1 shared A. D. Meringa· 1 shared

Activity by Year

2018-2022 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 10 mutual co-author links

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3 shared papersCancer Biology

P. Brazda

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Author profile →

7 papers

Recent·Most cited

Harmonized single-cell landscape, intercellular crosstalk and tumor architecture of glioblastoma

C. Ruiz Moreno, H. G. Stunnenberg, M. Nilsson, S. Brandner, M. E. Kranendonk, E. Samuelsson, S. Marco Salas

This paper harmonizes 26 single-cell RNA sequencing datasets from 240 glioblastoma patients to create GBmap, revealing tumor architecture, intercellular crosstalk, and pro-angiogenic signaling sources.

bioRxiv · Aug 27, 2022 · PreprintCancer Biology

Extensive patient-to-patient single nuclei transcriptome heterogeneity in pheochromocytomas and paragangliomas

P. Brazda, C. Ruiz-Moreno, W. Megchelenbrink, H. J. L. M. Timmers, H. G. Stunnenberg

This study identifies extensive transcriptome heterogeneity in pheochromocytomas and paragangliomas using snRNA-seq, revealing distinct transcriptional programs and developmental arrest stages.

bioRxiv · May 5, 2022Cancer Biology

Longitudinal single-cell transcriptomics reveals distinct patterns of recurrence in acute myeloid leukemia

Y. Zhai, P. Singh, A. Dolnik, P. Brazda, N. Atlasy, N. del Gaudio, K. Dohner, H. Dohner, S. Minucci, J. Martens, L. Altucci, W. Megchelenbrink, L. Bullinger, H. G. Stunnenberg

This study uses longitudinal single-cell transcriptomics to analyze AML recurrence patterns, finding varying transcriptional changes between diagnosis and relapse that challenge the clonal evolution model.

bioRxiv · Jan 4, 2022 · PreprintCancer Biology

Behavioral-transcriptomic landscape of engineered T cells targeting human cancer organoids

J. F. Dekkers, M. Alieva, A. Cleven, F. Keramati, P. Brazda, H. G. Rebel, A. K. L. Wezenaar, J. Puschhof, M.-B. Buchholz, M. Barrera Roman, I. Johanna, A. D. Meringa, D. Fasci, M. H. Geurts, H. C. R. Ariese, , A. C. Rios

The paper develops BEHAV3D, a 3D imaging-transcriptomics platform to study T cell behavior and molecular mechanisms in cancer organoids, identifying a super engager cluster with unique gene signatures and IFN-I priming capabilities.

bioRxiv · May 5, 2021Cancer Biology

Heme induces innate immunity memory

E. Jentho, B. Novakovic, C. C. Ruiz-Moreno, I. Kourtzelis, R. Martins, T. Chavakis, M. P. Soares, L. Kalafati, J. Guerra, F. Roestel, P. Bohm, M. Godmann, T. Grinenko, A. Eugster, M. Beretta, , S. Weis

This study shows heme induces trained immunity in human and murine cells, leading to long-term protection against bacterial sepsis through epigenetic and transcriptional changes.

bioRxiv · Dec 12, 2019 · PreprintImmunology

Chromatin activation as a unifying principle underlying pathogenic mechanisms in multiple myeloma

R. Ordonez, M. Kulis, N. Russinol, V. Chapaprieta, R. Beekman, C. Meydan, M. Duran-Ferrer, N. Verdaguer-Dot, G. Clot, R. Vilarrasa-Blasi, L. Garate, E. Miranda, A. Carrasco, T. Ezponda, A. Vilas-Zornoza, , J. I. Martin-Subero

The paper identifies aberrant chromatin activation as a common mechanism driving the malignant phenotype in multiple myeloma.

bioRxiv · Aug 20, 2019Cancer Biology

Partially methylated domains are hypervariable in breast cancer and fuel widespread CpG island hypermethylation

A. B. Brinkman, S. Nik-Zainal, F. Simmer, F. G. Rodriguez-Gonzalez, M. Smid, L. B. Alexandrov, A. Butler, S. Martin, H. Davies, G. Dominik, X. Zou, M. Ramakrishna, J. Staaf, M. Ringner, A. Sieuwerts, , H. G. Stunnenberg

The paper shows PMDs are hypervariable in breast cancer and drive CGI hypermethylation, but do not significantly repress cancer genes.

bioRxiv · Nov 15, 2018Cancer Biology