Author

S. J. Done

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· 3 Biophysics· 1 Pathology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 3 Research Focus:differential expression· 3 Organism:human· 3 Research Focus:cancer & tumor microenvironment· 2 Approach:experimental assay· 2 Assay:imaging· 2 Approach:statistical model· 2 Assay:ATAC-seq· 1

Frequent Co-Authors

A. Golaraei· 2 shared D. Cescon· 2 shared K. Mirsanaye· 2 shared L. Kontenis· 2 shared M. Lupien· 2 shared V. Barzda· 2 shared A. Fortier· 1 shared B. C. Wilson· 1 shared

Activity by Year

2018-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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2 shared papersBiophysics

A. Golaraei

Mutual co-authors in cluster

Author profile →

5 papers

Recent·Most cited

Wide-Field Multicontrast Nonlinear Microscopy for Histopathology

L. Uribe Casta\~no, K. Mirsanaye, A. Golaraei, L. Kontenis, S. J. Done, V. Stambolic, M. Akens, B. Wilson, V. Barzda

The paper develops a multicontrast microscope for histopathology imaging, optimizing conditions for H&E stained slides and analyzing collagen organization.

bioRxiv · Apr 16, 2022 · PreprintBiophysics

Non-coding mutations reveal cancer driver cistromes in luminal breast cancer

S. El Ghamrasni, R. Quevedo, J. R. Hawley, P. Mazrooei, Y. Hanna, I. Cirlan, H. Zhu, J. P. Bruce, L. E. Oldfield, S. Y. C. Yang, P. Guilhamon, J. Reimand, D. Cescon, S. J. Done, M. Lupien, T. Pugh

The paper identifies cancer driver cistromes in luminal breast cancer by analyzing non-coding mutations in cis-regulatory elements from ATAC-seq data and integrating them with somatic mutations.

bioRxiv · May 29, 2021Cancer Biology

Machine learning-enabled cancer diagnostics with widefield polarimetric second-harmonic generation microscopy

K. Mirsanaye, L. Uribe Castano, Y. Kamaliddin, A. Golaraei, R. Augulis, L. Kontenis, S. J. Done, E. Zurauskas, B. C. Wilson, V. Barzda

This paper uses machine learning with polarimetric second-harmonic generation microscopy to classify breast tissue as cancerous or normal with high accuracy.

bioRxiv · May 26, 2021Pathology

GLUT1 inhibition blocks growth of RB1-positive Triple Negative Breast Cancer

Q. Wu, W. Alawi, G. Deblois, J. Cruickshank, S. Duan, E. L. Fernandes, J. Haight, S. A. Tonekaboni, A. Fortier, H. Kuasne, T. McKee, H. Mahmoud, S. Cameron, N. D. Artun, W. Chen, , C. H. Arrowsmith

This study shows that GLUT1 inhibition reduces growth of RB1-positive TNBC cells with high glycolytic activity and low OXPHOS, suggesting a therapeutic target in this subset.

bioRxiv · Sep 11, 2019Cancer Biology

Modeling the MYC-driven normal-to-tumour switch in breast cancer.

C. Lourenco, M. Kalkat, K. E. Houlahan, J. De Melo, J. Longo, S. J. Done, P. C. Boutros, L. Z. Penn

This study creates an in vivo model of MYC-driven breast cancer by combining PIK3CAH1047R mutation with deregulated MYC, showing a normal-to-tumour switch and dependence on MYC for tumor growth.

bioRxiv · Aug 20, 2018Cancer Biology