Author

A. T. Lu

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Evolutionary Biology· 5 Cell Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:DNA methylation· 6 Approach:statistical model· 6 Organism:mouse· 5 Research Focus:chromatin & epigenetic regulation· 3 Research Focus:differential expression· 3 Research Focus:gene regulatory network inference· 3 Organism:multiple species· 3 Organism:human· 2

Frequent Co-Authors

A. Haghani· 5 shared S. Horvath· 5 shared J. Zhang· 4 shared V. N. Gladyshev· 4 shared Z. Fei· 4 shared C. Z. Li· 3 shared K. Raj· 3 shared A. N. Hogan· 2 shared

Activity by Year

2021-2023 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

5 shared papersEvolutionary Biology

A. Haghani

Mutual co-authors in cluster

Author profile →

6 papers

Recent·Most cited

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

C. Z. Li, A. Haghani, Q. Yan, A. T. Lu, J. Zhang, Z. Fei, J. Ernst, X. Yang, V. N. Gladyshev, K. Raj, A. Seluanov, V. Gorbunova, S. Horvath

The paper develops DNA methylation predictors for mammalian maximum lifespan, gestation time, and sexual maturity, showing species-level epigenetic signatures that differ from individual lifespan variation.

bioRxiv · Nov 2, 2023 · PreprintEvolutionary Biology

Fundamental equations linking methylation dynamics to maximum lifespan in mammals

S. Horvath, J. Zhang, A. Haghani, A. T. Lu, Z. Fei

This study links methylation dynamics to maximum lifespan in mammals by showing a reciprocal relationship between methylation change rates and lifespan across species.

bioRxiv · May 21, 2023Evolutionary Biology

Divergent age-related methylation patterns in long and short-lived mammals

A. Haghani, N. Wang, A. T. Lu, K. Mozhui, K. Raj, X. Yang, S. Horvath

The paper identifies CpGs with divergent age-related methylation patterns in long and short-lived mammals and develops epigenetic clocks based on these CpGs.

bioRxiv · Jan 16, 2022 · PreprintEvolutionary Biology

Multi-omic rejuvenation and lifespan extension upon exposure to youthful circulation

B. Zhang, D. E. Lee, A. Trapp, A. Tyshkovskiy, A. T. Lu, A. Bareja, C. Kerepesi, L. H. McKay, A. V. Shindyapina, S. E. Dmitriev, G. S. Baht, S. Horvath, V. N. Gladyshev, J. P. White

This study shows that prolonged heterochronic parabiosis reduces biological age and extends lifespan in mice through long-term epigenetic and transcriptomic changes.

bioRxiv · Nov 11, 2021Cell Biology

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