Author

Yexuan Deng

The University of Melbourne

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 Molecular Biology· 1

Signature Assays, Organisms & Methods

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Assay:CRISPR screen· 2 Research Focus:drug response / drug discovery· 2 Approach:experimental assay· 2 Organism:mouse· 2 Research Focus:cancer & tumor microenvironment· 1 Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Andrew J. KuehiD· 2 shared Benjamin HaleyiD· 2 shared Christina KoenigiD· 2 shared Jean‐Philippe FortiniD· 2 shared John E. La MarcaiD· 2 shared Kristel M. DorighiiD· 2 shared Lauren Whelan· 2 shared Lin TaiiD· 2 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersCancer Biology

Andrew J. KuehORCID

Mutual co-authors in cluster

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2 papers

Recent·Most cited

A novel, high-density CRISPR activation platform for mapping cancer dependencies and resistance pathways ex vivo and in vivo

Sarah T. Diepstraten, Yexuan Deng, Margaret A. Potts, Amy J. Heidersbach, Christina Koenig, Kristel M. Dorighi, Lin Tai, Andrew J. Kueh, Lauren Whelan, Catherine W.T. Chang, Felix Brown, Gemma L. Kelly, Jean‐Philippe Fortin, Benjamin Haley, John E. La Marca, Marco J. Herold

This paper introduces Partita, a high-density CRISPRa platform for comprehensive gene activation studies, demonstrating its utility in identifying cancer dependencies and resistance pathways in vitro and in vivo.

Science Advances · Sep 18, 2026Peer-reviewedCancer Biology

Advancing the genetic engineering toolbox by combining AsCas12a knock-in mice with ultra-compact screening

Wei Jin, Yexuan Deng, John E. La Marca, Emily J. Lelliott, Sarah T. Diepstraten, Christina Koenig, Lin Tai, Valentina Snetkova, Kristel M. Dorighi, Luke Hoberecht, Millicent G. Hedditch, Lauren Whelan, Geraldine Healey, Dan Fayle, Kieran Lau, , Marco J. Herold

The paper introduces an enAsCas12a mouse model and associated libraries for efficient gene editing and screening, identifying drug resistance genes and enabling simultaneous gene knockouts and activations.

Nature Communications · Jan 30, 2025Peer-reviewedMolecular Biology