Author

R. Nameki

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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Organism:human· 3 Approach:experimental assay· 2 Assay:ATAC-seq· 1 Assay:bulk RNA-seq· 1 Research Focus:cancer & tumor microenvironment· 1 Research Focus:cell type annotation· 1 Research Focus:chromatin & epigenetic regulation· 1 Assay:CUT&Tag· 1

Frequent Co-Authors

J. Reddy· 3 shared K. Lawrenson· 3 shared R. Drapkin· 3 shared D. Chaves-Moreira· 2 shared F. Abbasi· 2 shared H. Chang· 2 shared M. L. Freedman· 2 shared R. I. Corona· 2 shared

Activity by Year

2019-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersCancer Biology

J. Reddy

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Author profile →

3 papers

Recent·Most cited

Rewiring of master transcription factor cistromes during high-grade serous ovarian cancer development

R. Nameki, H. Chang, P. H. Yu, F. Abbasi, X. Lin, J. Reddy, M. Haro, M. Fonseca, M. L. Freedman, R. Drapkin, R. Corona, K. Lawrenson

This study identifies MECOM, PAX8, SOX17, and WT1 as master regulators in HGSC, showing their rewired cistromes and tumor-specific inhibition potential.

bioRxiv · Apr 11, 2023 · PreprintCancer Biology

PAX8 orchestrates an angiogenic program through interaction with SOX17

D. Chaves-Moreira, M. A. Mitchell, C. Arruza, P. Rawat, S. Sidoli, R. Nameki, J. Reddy, R. I. Corona, S. Ma, B. Winterhoff, G. E. Konecny, B. A. Garcia, D. C. Brady, K. Lawrenson, P. J. Morin, R. Drapkin

This study identifies SOX17 as a PAX8-interacting partner and shows their role in regulating tumor angiogenesis in ovarian cancer, suggesting a new therapeutic target.

bioRxiv · Sep 9, 2020 · PreprintCancer Biology

Predicting master transcription factors from pan-cancer expression data

J. Reddy, M. A. S. Fonseca, R. I. Corona, R. Nameki, F. Segato Dezem, I. A. Klein, H. Chang, D. Chaves-Moreira, L. Afeyan, T. M. Malta, X. Lin, F. Abbasi, A. Font-Tello, T. Sabedot, P. Cejas, , K. Lawrenson

This paper introduces CaCTS, an algorithm that identifies candidate master transcription factors (MTFs) across 34 cancer types using RNA-seq data, revealing novel MTFs and functional groupings.

bioRxiv · Nov 12, 2019Cancer Biology