Author

M.-S. Tsao

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 Pathology· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Research Focus:cancer & tumor microenvironment· 2 Assay:bulk RNA-seq· 1 Research Focus:cell signaling & trafficking· 1 Research Focus:cell type annotation· 1 Research Focus:chromatin & epigenetic regulation· 1 Approach:experimental assay· 1 Approach:genetic perturbation / CRISPR· 1

Frequent Co-Authors

A. Golaraei· 1 shared A. J. Elia· 1 shared B. C. Wilson· 1 shared B. Wu· 1 shared C. di Ciano-Oliveira· 1 shared C. Zhang· 1 shared D. W. Cescon· 1 shared E. Zurauskas· 1 shared

Activity by Year

2022-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperPathology

A. Golaraei

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Identification of KIFC1 as a putative vulnerability in lung cancers with centrosome amplification

C. Zhang, B. Wu, Y. F. Wu, C. di Ciano-Oliveira, I. Soria-Bretones, N.-A. Pham, A. J. Elia, R. Chari, W. L. Lam, M. R. Bray, T. W. Mak, M.-S. Tsao, D. W. Cescon, K. L. Thu

This study identifies KIFC1 as a therapeutic vulnerability in lung cancers with centrosome amplification by showing its role in mitigating mitotic stress.

bioRxiv · Jan 9, 2024Cancer Biology

Beta-catenin mediates growth defects induced by centrosome loss in APC mutant colorectal cancer independently of p53

M. Bourmoum, N. Radulovich, M.-S. Tsao, L. Pelletier

The paper shows that beta-catenin, not p53, mediates growth defects from centrosome loss in APC-mutant colorectal cancer organoids.

bioRxiv · Feb 13, 2023 · PreprintCancer Biology

Unsupervised determination of lung tumor margin with widefield polarimetric second-harmonic generation microscopy

K. Mirsanaye, L. U. Castano, Y. Kamaliddin, A. Golaraei, L. Kontenis, E. Zurauskas, R. Navab, K. Yasufuku, M.-S. Tsao, B. C. Wilson, V. Barzda

This paper uses P-SHG microscopy and unsupervised clustering to identify tumor margins in lung tissue by analyzing ECM collagen structure.

bioRxiv · Jul 25, 2022Pathology