Author

Philip A. Branton

Joint Pathology CenterORCID 0000-0002-0898-9605Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:differential expression· 2 Organism:human· 2 Assay:bulk RNA-seq· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Assay:proteomics· 1 Approach:statistical model· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Anil K. SoodiD· 1 shared Ayellet V. SegrèiD· 1 shared Brian L. HoodiD· 1 shared Chip StewartiD· 1 shared Christopher M. Tarney· 1 shared Daniel RosebrockiD· 1 shared David Marc GershensoniD· 1 shared Dimitri G. LivitziD· 1 shared

Activity by Year

2019-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperCancer Biology

Anil K. SoodORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Quantitative Proteomics Identifies Conserved Proteins and Altered Regulation of Mucin-16 in Low Grade Serous Ovarian Cancers

Christopher M. Tarney, Paulette Y. Mhawech-Fauceglia, Jonathan D. Ogata, Julie Oliver, Tamara S. Abulez, Philip A. Branton, Saeid Movahedi‐Lankarani, Brian L. Hood, Kelly A. Conrads, Kendal Frances Rosalik, Kwong‐Kwok Wong, David Marc Gershenson, Sanghoon Lee, Anil K. Sood, Robert C. Bast, , Nicholas W. Bateman

The paper identifies conserved protein alterations and elevated MUC16 in low-grade serous ovarian cancers through quantitative proteomics and validation across multiple datasets.

Clinical Proteomics · Oct 6, 2025Peer-reviewedCancer Biology

A comprehensive analysis of RNA sequences reveals macroscopic somatic clonal expansion across normal tissues

Keren Yizhak, François Aguet, Jaegil Kim, Julian M. Hess, Kirsten Kübler, Jonna Grimsby, Ruslana Frazer, Hailei Zhang, Nicholas J. Haradhvala, Daniel Rosebrock, Dimitri G. Livitz, Xiao Li, Eila Arich-Landkof, Noam Shoresh F, Chip Stewart, , Gad A. Getz

This study analyzes RNA-seq data from 6,700 normal tissues to identify somatic mutations and their association with age and tissue proliferation, finding tissue-specific cancer mutation hotspots.

Science · Jun 6, 2019Peer-reviewedGenomics