Author

Amber N. McElroy

University of MinnesotaORCID 0000-0002-4169-0015Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Biochemistry· 1 Genetics· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1

Frequent Co-Authors

Mark J. OsborniD· 2 shared Alexander A. SousaiD· 1 shared Alvin HsuiD· 1 shared Ana CristianiD· 1 shared Angus H. LiiD· 1 shared Beau R. WebberiD· 1 shared Benjamin J. SteinbeckiD· 1 shared Benjamin P. KleinstiveriD· 1 shared

Activity by Year

2019-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersBiochemistry

Mark J. OsbornORCID

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2 papers

Recent·Most cited

BiochemistrybioRxivPreprintFeb 20, 2026

Mechanistic machine learning enables interpretable and generalizable prediction of prime editing outcomes

Alvin Hsu, Peter J. Chen, Angus H. Li…·David R. Liu

OptiPrime predicts prime editing outcomes with high accuracy, enabling efficient therapeutic applications in human and mouse cells.

DOI 10.64898/2026.02.20.706353

𝕏 PostBluesky

GeneticsNature CommunicationsPeer-reviewedNov 19, 2019

Highly efficient multiplex human T cell engineering without double-strand breaks using Cas9 base editors

Beau R. Webber, Cara-lin Lonetree, Mitchell G. Kluesner…·Branden S. Moriarity

This study develops a method to efficiently edit multiple genes in human T cells using base editors, reducing off-target effects and improving safety for immunotherapy.

232 citationstop 1%

humanexperimental assay

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