Author

D. A. Braun

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· 3 Biochemistry· 1 Physiology· 1

Signature Assays, Organisms & Methods

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Organism:human· 5 Research Focus:cancer & tumor microenvironment· 3 Approach:experimental assay· 3 Assay:bulk RNA-seq· 2 Research Focus:cell type annotation· 2 Approach:statistical model· 2 Approach:deep learning· 1 Research Focus:differential expression· 1

Frequent Co-Authors

C. J. Wu· 3 shared J. Nyman· 3 shared Z. Bakouny· 3 shared B. A. McGregor· 2 shared C. Labaki· 2 shared E. M. Van Allen· 2 shared G. Bouchard· 2 shared G.-S. M. Lee· 2 shared

Activity by Year

2020-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersCancer Biology

C. J. Wu

Mutual co-authors in cluster

Author profile →

5 papers

Recent·Most cited

FGF-21 Conducts a Liver-Brain-Kidney Axis to Promote Renal Cell Carcinoma

Z. Li, X. Zhang, W. Zhu, C. Zhang, K. Sadak, A. A. Halberstam, J. R. Brown, C. J. Perry, A. Bunn, D. A. Braun, A. Adeniran, S. Lee, A. Wang, R. J. Perry

This study identifies FGF-21's role in promoting renal gluconeogenesis through a liver-brain-kidney axis, linking it to accelerated renal cell carcinoma progression and suggesting Adrb2 blockade as a potential therapy.

bioRxiv · Apr 12, 2023 · PreprintPhysiology

Spatially aware deep learning reveals tumor heterogeneity patterns that encode distinct kidney cancer states

J. Nyman, T. Denize, Z. Bakouny, C. Labaki, B. M. Titchen, K. Bi, S. N. Hari, J. Rosenthal, N. Mehta, B. Jiang, B. Sharma, K. Felt, R. Umeton, D. A. Braun, S. Rodig, , E. M. Van Allen

The paper uses spatially aware deep learning to identify tumor heterogeneity patterns in kidney cancer, revealing distinct states associated with different histological subtypes.

bioRxiv · Jan 18, 2023Cancer Biology

Optimized liquid and gas phase fractionation increase HLA-peptidome coverage for primary cell and tissue samples

S. Klaeger, A. Apffel, K. R. Clauser, S. Sarkizova, G. Oliveira, S. Rachimi, P. M. Le, A. Tarren, V. Chea, J. G. Abelin, D. A. Braun, P. A. Ott, H. Keshishian, N. Hacohen, D. Keskin, , S. A. Carr

The paper improves HLA-peptidome coverage using optimized liquid and gas phase fractionation methods, enabling detection of more peptides from limited clinical tissue samples.

bioRxiv · May 25, 2021Biochemistry

Integrative Clinical and Molecular Characterization of Translocation Renal Cell Carcinoma

Z. Bakouny, A. Sadagopan, P. Ravi, N. Y. Metaferia, J. Li, S. AbuHammad, S. Tang, T. Denize, E. R. Garner, X. Gao, D. A. Braun, L. Hirsch, J. A. Steinharter, G. Bouchard, E. Walton, , S. R. Viswanathan

This study characterizes translocation renal cell carcinoma (tRCC) through integrated clinical and molecular analysis of 152 patients, identifying key features like MiT/TFE fusions, NRF2-driven antioxidant response, and differential treatment outcomes.

bioRxiv · Apr 14, 2021Cancer Biology

Integrative Molecular Characterization of Sarcomatoid and Rhabdoid Renal Cell Carcinoma Reveals Determinants of Poor Prognosis and Response to Immune Checkpoint Inhibitors

Z. Bakouny, D. A. Braun, S. A. Shukla, W. Pan, X. Gao, Y. Hou, A. Flaifel, S. Tang, A. Bosma-Moody, M. X. He, N. Vokes, J. Nyman, W. Xie, A. H. Nassar, S. Abou Alaiwi, , T. H. Ho

This study characterizes the molecular features and immune profile of sarcomatoid and rhabdoid renal cell carcinoma, showing their responsiveness to immune checkpoint inhibitors and identifying key genetic and transcriptional determinants.

bioRxiv · May 28, 2020Cancer Biology