Author

M. M. Kushida

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

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 3 Organism:human· 3 Research Focus:differential expression· 2 Approach:experimental assay· 2 Research Focus:cancer & tumor microenvironment· 1 Research Focus:chromatin & epigenetic regulation· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

A. Nikolic· 3 shared F. J. Coutinho· 3 shared F. M. Cavalli· 3 shared M. D. Taylor· 3 shared M. Gallo· 3 shared A. J. Mungall· 2 shared J. A. Chan· 2 shared K. Ellestad· 2 shared

Activity by Year

2018-2020 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersCancer Biology

A. Nikolic

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Author profile →

3 papers

Recent·Most cited

Single-cell chromatin accessibility in glioblastoma delineates cancer stem cell heterogeneity predictive of survival

P. Guilhamon, M. M. Kushida, A. Nikolic, D. Singhal, G. MacLeod, S. A. M. Tonekaboni, F. M. Cavalli, C. Arlidge, N. Rajakulendran, N. Rastegar, X. Hao, R. Hassam, L. J. Smith, H. Whetstone, F. J. Coutinho, , M. Lupien

The paper uses single-cell chromatin accessibility to identify distinct glioblastoma stem cell states predictive of patient survival.

bioRxiv · Mar 13, 2020 · PreprintCancer Biology

High-resolution structural genomics reveals new therapeutic vulnerabilities in glioblastoma

M. J. Johnston, A. Nikolic, N. Ninkovic, P. Guilhamon, F. M. Cavalli, S. Seaman, F. J. Zemp, J. Lee, A. Abdelkareem, K. Ellestad, A. Murison, M. M. Kushida, F. J. Coutinho, Y. Ma, A. J. Mungall, , M. Gallo

This study uses high-resolution 3D genome maps to identify CD276 as a therapeutic target in glioblastoma stem cells, showing it can suppress self-renewal.

bioRxiv · Oct 13, 2018Cancer Biology

Subclonal architecture, evolutionary trajectories and patterns of inheritance of germline variants in pediatric glioblastoma

M. Hoffman, A. H. Gillmor, D. J. Kunz, M. J. Johnston, A. Nikolic, K. Karta, J. King, K. Ellestad, N. H. Dang, F. M. Cavalli, M. M. Kushida, F. J. Coutinho, B. Luu, Y. Ma, A. J. Mungall, , M. Gallo

This study examines genetic heterogeneity and evolutionary patterns in pediatric glioblastoma using whole-genome sequencing of germline-tumor pairs, revealing subclonal architecture and complex inheritance mechanisms.

bioRxiv · Oct 12, 2018Cancer Biology