Author

R. T. Brooke

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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Evolutionary Biology· 2 Physiology· 2

Signature Assays, Organisms & Methods

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Assay:DNA methylation· 3 Organism:mouse· 3 Research Focus:chromatin & epigenetic regulation· 2 Approach:experimental assay· 2 Organism:multiple species· 2 Approach:statistical model· 2 Research Focus:cell signaling & trafficking· 1 Research Focus:cell type annotation· 1

Frequent Co-Authors

S. Horvath· 3 shared V. N. Gladyshev· 3 shared A. Haghani· 2 shared A. N. Hogan· 2 shared A. T. Lu· 2 shared C. E. Breeze· 2 shared C. G. Faulkes· 2 shared C. J. Finno· 2 shared

Activity by Year

2021-2024 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersPhysiology

S. Horvath

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

A torpor-like state (TLS) in mice slows blood epigenetic aging and prolongs healthspan

L. Jayne, A. Lavin-Peter, J. Roessler, A. Tyshkovskiy, M. Antoszewski, E. Ren, A. Markovski, S. Sun, H. Yao, V. G. Sankaran, V. N. Gladyshev, R. T. Brooke, S. Horvath, E. C. Griffith, S. Hrvatin

This study shows that inducing a torpor-like state in mice slows blood epigenetic aging and improves healthspan by reducing core body temperature.

bioRxiv · Mar 20, 2024Physiology

Small extracellular vesicles from young mice prevent frailty, improve healthspan and decrease epigenetic age in old mice.

J. Sanz-Ros, C. Mas-Bargues, D. Monleon, J. Gordevicius, R. T. Brooke, M. Dromant, A. Derevyanko, A. Guio-Carrion, A. Roman-Dominguez, N. Romero-Garcia, M. Ingles, M. A. Blasco, S. Horvath, J. Vina, C. Borras

bioRxiv · Jul 29, 2021 · PreprintPhysiology

Epigenetic predictors of maximum lifespan and other life history traits in mammals

C. Z. Li, A. Haghani, T. R. Robeck, D. Villar, A. T. Lu, J. Zhang, C. G. Faulkes, H. Vu, J. Ablaeva, D. M. Adams, R. Ardehali, A. Arneson, C. S. Baker, K. Belov, D. T. Blumstein, , A. J. Jasinska

The paper develops methylation-based models to predict maximum lifespan and other life history traits in mammals using data from 12,000 samples across 192 species.

bioRxiv · May 16, 2021 · PreprintEvolutionary Biology

DNA Methylation Networks Underlying Mammalian Traits

A. Haghani, A. T. Lu, C. Z. Li, T. R. Robeck, K. Belov, C. E. Breeze, R. T. Brooke, S. Clarke, C. G. Faulkes, Z. Fei, S. H. Ferguson, C. J. Finno, V. N. Gladyshev, V. Gorbunova, R. G. Goya, , S. Horvath

This study analyzes DNA methylation across 11,117 samples from 176 species to identify modules related to traits like age, lifespan, and phylogeny, revealing epigenetic patterns across evolution and aging.

bioRxiv · Mar 16, 2021Evolutionary Biology