Author

R. Murray

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 Cell Biology· 1 Ecology· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:drug response / drug discovery· 1 Research Focus:ecology & biodiversity· 1 Approach:genetic perturbation / CRISPR· 1 Organism:human· 1 Organism:mouse· 1 Approach:statistical model· 1

Frequent Co-Authors

A. Berenguer Llergo· 1 shared A. Camblin· 1 shared A. Campbell· 1 shared A. Messana· 1 shared A. Villanueva· 1 shared ACRCelerate consortium· 1 shared B. Ahmaderaghi· 1 shared B. Chong· 1 shared

Activity by Year

2022-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperCancer Biology

A. Berenguer Llergo

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Comprehensive genome editing confers "off-the-shelf" CAR-T cells superior efficacy against solid tumors

R. Murray, N. R. R. Navarrete, K. Desai, M. R. Chowdhury, S. R. Chilakapati, B. Chong, A. Messana, H. Sobon, J. Rocha, F. Musenge, A. Camblin, G. Ciaramella, M. Sitkovsky, C. Maldini, S. Hatfield

The paper develops genome-edited CAR-T cells resistant to multiple inhibitory signals, showing improved efficacy against solid tumors in humanized mouse models.

bioRxiv · Aug 3, 2023 · PreprintCell Biology

Species interactions and diversity: a unified framework using Hill numbers

W. Godsoe, R. Murray, R. Iritani

This paper unifies models of biotic interactions with diversity measurements, showing that biodiversity changes can arise from various interactions and that traditional diversity analyses obscure absolute abundance changes.

bioRxiv · Oct 18, 2022Ecology

MmCMS: Mouse models' Consensus Molecular Subtypes of colorectal cancer

R. Amirkhah, K. Gilroy, S. Malla, T. Lannagan, R. Byrne, N. C. Fisher, S. Corry, H. Naderi-Meshkin, B. Ahmaderaghi, R. Murray, M. Mills, A. Campbell, ACRCelerate consortium, A. Berenguer Llergo, R. Sanz-Pamplona, , P. Dunne

The paper develops three methods to classify mouse colorectal cancer models into human CMS subtypes, finding that pathway-level classifiers outperform gene-level ones for accurate subtype identification.

bioRxiv · Jun 17, 2022Cancer Biology