Author

J. N. Bruce

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· 5

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Research Focus:cell type annotation· 4 Approach:experimental assay· 4 Organism:human· 4 Research Focus:differential expression· 3 Assay:scRNA-seq· 3 Research Focus:cell-cell communication· 2 Research Focus:clustering· 2 Assay:imaging· 2

Frequent Co-Authors

P. A. Sims· 4 shared P. Canoll· 4 shared A. Dovas· 3 shared M. G. Argenziano· 3 shared H. M. Levitin· 2 shared N. Humala· 2 shared W. Zhao· 2 shared A. Hawkins-Daarud· 1 shared

Activity by Year

2018-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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4 shared papersCancer Biology

P. A. Sims

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5 papers

Recent·Most cited

Biologically-informed deep neural networks provide quantitative assessment of intratumoral heterogeneity in post-treatment glioblastoma

H. Wang, M. G. Argenziano, H. Yoon, D. Boyett, A. Save, P. Petridis, W. Savage, P. Jackson, A. Hawkins-Daarud, N. Tran, L. Hu, O. Al-Dalahmah, J. N. Bruce, J. Grinband, K. R. Swanson, , J. Li

This paper develops BioNet, a biologically-informed deep learning model, to predict intratumoral heterogeneity in post-treatment glioblastoma using MRI and biopsy data, showing improved performance over existing methods.

npj Digital Medicine · Oct 19, 2024Peer-reviewedCancer Biology

A cell state specific metabolic vulnerability to GPX4-dependent ferroptosis in glioblastoma

M. A. Banu, A. Dovas, M. G. Argenziano, W. Zhao, H. Cuervo, D. M. Higgins, C. P. Sperring, B. Pereira, L. F. Ye, A. Mahajan, N. Humala, J. L. Furnari, P. S. Upadhyayula, F. Zandkarimi, T. T. Nguyen, , P. D. Canoll

The paper identifies a metabolic vulnerability in specific glioma cell states that can be targeted with GPX4 inhibitors to induce ferroptosis.

bioRxiv · Feb 22, 2023Cancer Biology

Single-Cell Analysis of 5-ALA Intraoperative Labeling Specificity for Glioblastoma

Z. Liu, A. Mela, J. Furnari, M. G. Argenziano, C. Kotidis, C. Sperring, N. Humala, J. N. Bruce, P. Canoll, P. A. Sims

This study shows 5-ALA labeling is not specific to transformed glioma cells but can label untransformed cells directly or via PpIX from surrounding tumor cells.

bioRxiv · Dec 17, 2022 · PreprintCancer Biology

Deconvolution of Cell Type-Specific Drug Responses in Human Tumor Tissue with Single-Cell RNA-seq

W. Zhao, A. Dovas, E. F. Spinazzi, H. M. Levitin, P. Upadhyayula, T. Sudhakar, T. Marie, M. L. Otten, M. Sisti, J. N. Bruce, P. Canoll, P. A. Sims

This study uses single-cell RNA-seq to analyze cell type-specific drug responses in human tumor tissues, revealing personalized therapeutic strategies for solid tumors.

bioRxiv · Apr 22, 2020Cancer Biology

Single-Cell Transcriptome Analysis of Lineage Diversity and Microenvironment in High-Grade Glioma

J. Yuan, H. M. Levitin, V. Frattini, E. C. Bush, D. M. Boyett, J. Samanamud, M. Ceccarelli, A. Dovas, G. Zanazzi, P. Canoll, J. N. Bruce, A. Lasorella, A. Iavarone, P. A. Sims

This study uses single-cell RNA-Seq to analyze lineage diversity and microenvironment in high-grade gliomas, finding links between cellular identity, proliferation, and population structure.

bioRxiv · Jun 23, 2018Cancer Biology