Author

A. McCarthy

The Francis Crick Institute

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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Approach:experimental assay· 3 Research Focus:development & morphogenesis· 1 Research Focus:drug response / drug discovery· 1 Research Focus:ecology & biodiversity· 1 Organism:human· 1 Assay:imaging· 1 Assay:metabolomics· 1 Assay:metagenomics· 1

Frequent Co-Authors

A. S. Krall· 1 shared A. Viale· 1 shared B. S. Nelson· 1 shared B. Z. Stanger· 1 shared C. A. Lyssiotis· 1 shared C. J. Halbrook· 1 shared C. Jorgensen· 1 shared C.A. Johnson· 1 shared

Activity by Year

2020-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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Curved chords = mutual co-authorship

1 shared paperCancer Biology

A. S. Krall

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Microfluidic analysis reveals ROCK2 regulation of endothelial cilia is essential for blood vessel lumen formation and vascular integrity

Safoura Zahed Mohajerani, G. Grant, A. McCarthy, Matthew D. Bourn, Peyman, C.A. Johnson, Georgia Mavria

This study shows ROCK2 regulates endothelial cilia, which is critical for blood vessel lumen formation and vascular integrity.

bioRxiv · May 28, 2026 · PreprintCell Biology

Clonal Heterogeneity Supports Mitochondrial Metabolism in Pancreatic Cancer

C. J. Halbrook, G. Thurston, A. McCarthy, B. S. Nelson, P. Sajjakulnukit, A. S. Krall, P. J. Mullen, L. Zhang, S. Batra, A. Viale, B. Z. Stanger, H. R. Cristofk, J. Zhang, M. Pasca di Magliano, C. Jorgensen, C. A. Lyssiotis

The paper identifies two metabolic subclasses in pancreatic cancer cells and shows asparagine's role in supporting proliferation under mitochondrial stress, suggesting a new therapeutic strategy.

bioRxiv · May 15, 2020 · PreprintCancer Biology

The utility of a metagenomics approach for marine biomonitoring

G. A. C. Singer, S. Shekarriz, A. McCarthy, N. Fahner, M. Hajibabaei

This study compares metabarcoding and metagenomics for marine biomonitoring, finding metabarcoding more efficient but metagenomics effective for biodiversity and ecosystem health inference.

bioRxiv · Mar 16, 2020 · PreprintEcology