Author

Victoria Wang

University of Southern CaliforniaPrimary ORCID profile (0000-0003-4079-5576 · 1 paper)Unclaimed ORCID profile · follow to get notified of new preprints

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Same name, identified by ORCID

Victoria WangiD1 paper · Harvard University

Biology Disciplines

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Cancer Biology· 1 Developmental Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:bulk RNA-seq· 1 Research Focus:cancer & tumor microenvironment· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Aleah F. Caulin· 1 shared Anibal R. Cordero· 1 shared Ashley Maynard· 1 shared Beatrice GiniiD· 1 shared Brendan H. GrubbsiD· 1 shared Caroline E. McCoach· 1 shared Charles SwantoniD· 1 shared Collin M. Blakely· 1 shared

Activity by Year

2017-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperCancer Biology

Aleah F. Caulin

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2 papers

Recent·Most cited

Stepwise developmental mimicry generates proximal-biased kidney organoids

Jack Schnell, Zhen Miao, MaryAnne A. Achieng, Connor C. Fausto, Victoria Wang, Faith De Kuyper, Matthew Edward Thornton, Brendan H. Grubbs, Junhyong Kim, Nils O. Lindström

This paper develops a method to generate proximal tubule precursor cells in kidney organoids using transient Notch signaling activation, showing functional maturity and injury response.

bioRxiv · Jun 28, 2024 · PreprintDevelopmental Biology

Evolution and clinical impact of genetic epistasis within EGFR-mutant lung cancers

Collin M. Blakely, Thomas B.K. Watkins, Wei Wu, Beatrice Gini, Jacob J. Chabon, Caroline E. McCoach, Nicholas McGranahan, Gareth A. Wilson, Nicolai J. Birkbak, Victor R. Olivas, Julia Rotow, Ashley Maynard, Victoria Wang, Matthew A. Gubens, Kimberly C. Banks, , Trever G. Bivona

The paper investigates genetic epistasis in EGFR-mutant lung cancers using over 2,000 cases, showing that genetic combinations, not single drivers, dominate tumor progression and clinical outcomes.

bioRxiv · Mar 16, 2017 · PreprintCancer Biology