Author

B. Salovska

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 Cell Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Research Focus:chromatin & epigenetic regulation· 2 Approach:experimental assay· 2 Assay:proteomics· 2 Research Focus:cancer & tumor microenvironment· 1 Research Focus:cell signaling & trafficking· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1

Frequent Co-Authors

W. Li· 2 shared Y. Liu· 2 shared A. A. Lakhani· 1 shared A. Dugourd· 1 shared A. M. Taylor· 1 shared B. E. Mendelson· 1 shared C. M. Scaduto· 1 shared D. A. Lukow· 1 shared

Activity by Year

2022-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersCancer Biology

W. Li

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Author profile →

3 papers

Recent·Most cited

The RNA-dependent interactions of phosphatidylinositol 4,5-bisphosphate with intrinsically disordered proteins contribute to nuclear compartmentalization.

M. Sztacho, J. Cervenka, B. Salovska, L. Antiga, P. Hoboth, P. Hozak

This study identifies RNA-dependent PIP2-associated proteins in human cells and shows their role in nuclear compartmentalization through phase separation.

bioRxiv · Mar 19, 2024 · PreprintCell Biology

Oncogene-like addiction to aneuploidy in human cancers

V. Girish, A. A. Lakhani, C. M. Scaduto, S. L. Thompson, L. M. Brown, R. A. Hagenson, E. L. Sausville, B. E. Mendelson, D. A. Lukow, M. L. Yuan, P. K. Kandikuppa, E. C. Stevens, S. N. Lee, B. Salovska, W. Li, , J. M. Sheltzer

This study demonstrates that trisomy of chromosome 1q is essential for malignant growth in cancers and shows that TP53 mutations are mutually exclusive with 1q aneuploidy.

bioRxiv · Jan 9, 2023Cancer Biology

Deep Phosphoproteomic Elucidation of Metformin-Signaling in Heterogenous Colorectal Cancer Cells

B. Salovska, E. Gao, S. Mueller-Dott, W. Li, A. Dugourd, G. Rosenberger, J. Saez-Rodriguez, Y. Liu

This study uses phosphoproteomics to analyze metformin signaling in CRC cell lines, revealing heterogeneous responses and identifying potential drug interactions.

bioRxiv · Jul 7, 2022 · PreprintCancer Biology