Author

A. Tastanova

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· 2

Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:bulk RNA-seq· 1 Research Focus:cancer & tumor microenvironment· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Assay:imaging· 1 Assay:multiome· 1

Frequent Co-Authors

A. Aloia· 1 shared A. Bileck· 1 shared A. Dzung· 1 shared A. Irmisch· 1 shared A. Jovic· 1 shared A. Leitner· 1 shared A. Othman· 1 shared A. Saltari· 1 shared

Activity by Year

2022-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperCancer Biology

A. Aloia

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2 papers

Recent·Most cited

Label-Free Melanoma Phenotype Classification Using Artificial Intelligence-Based Morphological Profiling

E. Lattmann, A. Jovic, J. Kim, T. Pham, C. Corona, Z. Lian, K. Saini, M. Ray, V. Lu, A. Tastanova, S. C. Boutet, M. P. Levesque

This paper develops an AI-based classifier to classify melanoma cell phenotypes using morphology, validated by scRNA-Seq, showing morphology correlates with phenotypic states.

bioRxiv · Jun 28, 2024 · PreprintCancer Biology

ROS induction as a strategy to target persister cancer cells with low metabolic activity in NRAS mutated melanoma

O. M. Eichhoff, C. I. Stoffel, J. Kaesler, L. Briker, P. Turko, G. Karsai, N. Zila, V. Paulitschke, P. F. Cheng, A. Leitner, A. Bileck, N. Zamboni, A. Irmisch, Z. Balazs, A. Tastanova, , M. Levesque

The paper identifies ROS induction as a strategy to target MEK-inhibitor resistant NRAS-mutated melanoma cells by exploiting their quiescent metabolic state and elevated baseline ROS levels.

bioRxiv · Oct 19, 2022 · PreprintCancer Biology