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Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.
12 papers
Recent·Most cited
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
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
P. T. Paine, C. Rechsteiner, F. Morandini, G. Desdin Mico, C. Mrabti, A. Parras, A. Haghani, R. Brooke, S. Horvath, A. Seluanov, V. Gorbunova, A. Ocampo
The paper uses partial cellular reprogramming to reduce DNA damage in an ERCC1 mouse model of premature aging, showing restoration of the epigenetic clock and DNA repair processes.
bioRxiv · May 12, 2023Cell Biology
A. Momenzadeh, Y. Jiang, S. Kreimer, L. E. Teigen, C. S. Zepeda, A. Haghani, M. Mastali, Y. Song, A. Hutton, S. J. Parker, J. E. Van Eyk, C. W. Sundberg, J. G. Meyer
This paper introduces a high-throughput single skeletal muscle fiber proteomics method, achieving faster analysis with sufficient proteome depth compared to existing methods.
bioRxiv · Feb 23, 2023Biochemistry
S. Kreimer, A. Binek, B. Chazarin, J. H. Cho, A. Haghani, A. Hutton, E. Marban, M. Mastali, J. G. Meyer, T. Mesquita, Y. Song, J. Van Eyk, S. J. Parker
The paper presents a high-throughput proteomic method for analyzing single-cell heterogeneity in organ-derived cell populations using nanoDTSC.
bioRxiv · Jan 6, 2023Biochemistry
S. Kreimer, A. Haghani, A. Binek, A. Hauspurg, S. Seyedmohammad, A. Rivas, A. Momenzadeh, J. Meyer, K. Raedschelders, J. E. Van Eyk
This paper introduces a dual-trap single-column configuration to improve proteomic analysis throughput by parallelizing column cleaning and sample loading, achieving high instrument utilization and reproducible quantification.
bioRxiv · Jun 2, 2022Biochemistry
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
S. Horvath, A. Haghani, J. A. Zoller, K. Raj, I. Sinha, A. Talbot, Y. Aviles Ruiz, K. E. Sears
The paper generates DNA methylation data from opossum tissues and develops epigenetic clocks for opossums and dual-species human-opossum clocks to measure age.
bioRxiv · Oct 13, 2021 · PreprintEvolutionary Biology
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
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
G. M. Pinho, J. G. A. Martin, C. Farrell, A. Haghani, J. A. Zoller, J. Zhang, S. Snir, M. Pellegrini, R. K. Wayne, D. T. Blumstein, S. Horvath
This study examines how hibernation affects epigenetic aging in yellow-bellied marmots using epigenetic clocks and pacemakers, finding that aging slows during hibernation.
bioRxiv · Mar 7, 2021 · PreprintEvolutionary Biology
J.-F. Lemaitre, B. Rey, J.-M. Gaillard, C. Regis, E. Gilot, M. Pellerin, A. Haghani, J. A. Zoller, C. Z. Li, S. Horvath
This study develops epigenetic clocks for roe deer to assess how environment and sex influence DNA methylation aging in wild populations.
bioRxiv · Sep 21, 2020 · PreprintEvolutionary Biology