Author

M. Masterman-Smith

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· 1

Signature Assays, Organisms & Methods

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Approach:biophysical modeling· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Organism:human· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

A. Nunez· 1 shared E. E. Samuels· 1 shared E. Panosyan· 1 shared H. Kornblum· 1 shared J. Mottahedeh· 1 shared J. Sun· 1 shared K. Visnyei· 1 shared M. Choe· 1 shared

Activity by Year

2020-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperCancer Biology

A. Nunez

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1 paper

Recent·Most cited

Quantitative single cell heterogeneity profiling of patient derived tumor initiating gliomaspheres reveals unique signatures of malignancy and response

M. Masterman-Smith, N. A. Graham, E. Panosyan, J. Mottahedeh, E. E. Samuels, A. Nunez, S. H. Lim, T. Phillips, M. Choe, K. Visnyei, W. H. Yong, T. G. Graeber, M.-F. Lang, H. Kornblum, J. Sun

The paper uses single cell proteomic analysis to identify distinct signaling phenotypes in gliomaspheres, revealing EGFR and AKT/TORC1 signaling divergence and potential therapeutic targets.

bioRxiv · Jan 14, 2020 · PreprintCancer Biology