Author

P. Brazda

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

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Cancer Biology· 3

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 3 Organism:human· 3 Research Focus:differential expression· 2 Approach:experimental assay· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1

Frequent Co-Authors

H. G. Stunnenberg· 3 shared W. Megchelenbrink· 2 shared A. C. Rios· 1 shared A. Cleven· 1 shared A. D. Meringa· 1 shared A. Dolnik· 1 shared A. K. L. Wezenaar· 1 shared A. M. M. Eggermont· 1 shared

Activity by Year

2021-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 26 mutual co-author links

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3 shared papersCancer Biology

H. G. Stunnenberg

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Author profile →

3 papers

Recent·Most cited

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