Author

A. Dovas

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· 5 Pathology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 5 Research Focus:cell type annotation· 4 Organism:human· 3 Organism:mouse· 3 Research Focus:cancer & tumor microenvironment· 2 Research Focus:clustering· 2 Research Focus:differential expression· 2 Research Focus:drug response / drug discovery· 2

Frequent Co-Authors

P. Canoll· 4 shared J. N. Bruce· 3 shared P. A. Sims· 3 shared T. Sudhakar· 3 shared A. Mahajan· 2 shared a. r. goldberg· 2 shared B. J. A. Gill· 2 shared G. M. McKhann· 2 shared

Activity by Year

2018-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 34 mutual co-author links

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4 shared papersCancer Biology

P. Canoll

Mutual co-authors in cluster

Author profile →

6 papers

Recent·Most cited

MT-125 Inhibits Non-Muscle Myosin IIA and IIB, Synergizes with Oncogenic Kinase Inhibitors, and Prolongs Survival in Glioblastoma

R. Kenchappa, L. Radnai, E. J. Young, N. Zarco, L. Lin, A. Dovas, C. T. Meyer, A. Haddock, A. Hall, P. T. Canoll, M. Cameron, N. K. Nagaiah, G. Rumbaugh, P. R. Griffin, T. M. Kamenecka, , S. S. Rosenfeld

bioRxiv · Apr 27, 2024 · PreprintCancer 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

Re-convolving the compositional landscape of primary and recurrent glioblastoma reveals prognostic andtargetable tissue states

O. Al-Dalahmah, M. Argenziano, A. Kannan, A. Mahajan, J. Furnari, F. Paryani, D. Boyett, A. Save, N. Humala, F. Khan, J. Li, H. Lu, Y. Sun, J. Tuddenham, a. r. goldberg, , P. Canoll

The paper identifies three tissue states in glioblastoma microenvironments using snRNAseq and spatial transcriptomics, linking them to metabolic pathways and clinical outcomes.

bioRxiv · Jul 6, 2021Pathology

Single Unit Analysis and Wide-Field Imaging Reveal Alterations in Excitatory andInhibitory Neurons in Glioma

B. J. A. Gill, F. A. Khan, E. M. Merricks, A. R. Goldberg, X. Wu, A. A. Sosunov, T. Sudhakar, J.-y. Liou, A. Dovas, G. M. McKhann, P. Canoll, C. Schevon

The paper uses single unit analysis and wide-field imaging to study excitatory and inhibitory neuron alterations in glioma, finding mTOR inhibition reverses these changes.

bioRxiv · Feb 23, 2021Cancer 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