Author

J. A. Seoane

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:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:cancer & tumor microenvironment· 1 Research Focus:cell signaling & trafficking· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

C. Curtis· 3 shared A. DeMichele· 1 shared A. Hall· 1 shared A. Khan· 1 shared A. M. Boutelle· 1 shared A. M. Kaiser· 1 shared A. M. Storniolo· 1 shared A. M. Thompson· 1 shared

Activity by Year

2020-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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3 shared papersCancer Biology

C. Curtis

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Author profile →

3 papers

Recent·Most cited

The Mettl3 epitranscriptomic writer amplifies p53 stress responses

N. Raj, M. Wang, J. A. Seoane, N. A. Moonie, J. Demeter, A. M. Kaiser, A. M. Boutelle, A. S. Mulligan, C. Moffatt, C. Curtis, H. Chang, P. K. Jackson, L. D. Attardi

This paper identifies Mettl3 as a p53-interacting protein that stabilizes p53 and enhances its tumor suppressive functions through both protein stabilization and m6A modification of p53 pathway transcripts.

bioRxiv · Oct 21, 2021Cancer Biology

DCIS genomic signatures define biology and clinical outcome: Human Tumor Atlas Network (HTAN) analysis of TBCRC 038 and RAHBT cohorts

S. H. Strand, B. Rivero-Gutierrez, K. E. Houlahan, J. A. Seoane, L. M. King, T. Risom, L. A. Simpson, S. Vennam, A. Khan, L. Cisneros, T. Hardman, B. Harmon, F. Couch, K. Gallagher, M. Kilgore, , K Owzar

The paper develops a classifier for DCIS recurrence using genomic data from two cohorts and identifies pathways and stroma-specific signatures associated with progression to invasive cancer.

bioRxiv · Jun 16, 2021 · PreprintCancer Biology

Convergent mutations in tissue-specific regulatory regions reveal novel cancer drivers

N. Sinnott-Armstrong, J. A. Seoane, R. Sallari, J. K. Pritchard, C. Curtis, M. P. Snyder

This study identifies non-coding cancer drivers by analyzing convergent mutations in tissue-specific regulatory regions across multiple cancer types, finding several genes associated with survival.

bioRxiv · Aug 21, 2020 · PreprintCancer Biology