A whole lifespan mouse multi-tissue DNA methylation clock

被引:107
|
作者
Meer, Margarita V. [1 ,2 ]
Podolskiy, Dmitriy I. [1 ,2 ]
Tyshkovskiy, Alexander [1 ,2 ,3 ]
Gladyshev, Vadim N. [1 ,2 ]
机构
[1] Brigham & Womens Hosp, Dept Med, Div Genet, 75 Francis St, Boston, MA 02115 USA
[2] Harvard Med Sch, Boston, MA 02115 USA
[3] Skolkovo Inst Sci & Technol, Ctr Data Intens Biomed & Biotechnol, Moscow, Russia
来源
ELIFE | 2018年 / 7卷
关键词
AGE;
D O I
10.7554/eLife.40675
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Age predictors based on DNA methylation levels at a small set of CpG sites, DNAm clocks, have been developed for humans and extended to several other species. Three currently available versions of mouse DNAm clocks were either created for individual tissues or tuned toward young ages. Here, we constructed a robust multi-tissue age predictor based on 435 CpG sites, which covers the entire mouse lifespan and remains unbiased with respect to any particular age group. It can successfully detect the effects of certain lifespan-modulating interventions on DNAm age as well as the rejuvenation effect related to the transition from fibroblasts to iPSCs. We have carried out comparative analyses of available mouse DNAm clocks, which revealed their broad applicability, but also certain limitations to the use of tissue-specific and multi-tissue age predictors. Together, these tools should help address diverse questions in aging research.
引用
收藏
页数:16
相关论文
共 50 条
  • [1] Multi-tissue DNA methylation age predictor in mouse
    Thomas M. Stubbs
    Marc Jan Bonder
    Anne-Katrien Stark
    Felix Krueger
    Ferdinand von Meyenn
    Oliver Stegle
    Wolf Reik
    Genome Biology, 18
  • [2] Multi-tissue DNA methylation age predictor in mouse
    Stubbs, Thomas M.
    Bonder, Marc Jan
    Stark, Anne-Katrien
    Krueger, Felix
    von Meyenn, Ferdinand
    Stegle, Oliver
    Reik, Wolf
    GENOME BIOLOGY, 2017, 18
  • [3] A multi-tissue full lifespan epigenetic clock for mice
    Thompson, Michael J.
    Chwialkowska, Karolina
    Rubbi, Liudmilla
    Lusis, Aldons J.
    Davis, Richard C.
    Srivastava, Anuj
    Korstanje, Ron
    Churchill, Gary A.
    Horvath, Steve
    Pellegrini, Matteo
    AGING-US, 2018, 10 (10): : 2832 - 2854
  • [4] A revised multi-tissue, multi-platform epigenetic clock model for methylation array data
    Orsolya Anna Pipek
    István Csabai
    Journal of Mathematical Chemistry, 2023, 61 : 376 - 388
  • [5] A revised multi-tissue, multi-platform epigenetic clock model for methylation array data
    Pipek, Orsolya Anna
    Csabai, Istvan
    JOURNAL OF MATHEMATICAL CHEMISTRY, 2023, 61 (02) : 376 - 388
  • [6] Multi-tissue DNA methylation microarray signature is predictive of gene function
    Roopnarinesingh, Xiavan Renaldo
    Porter, Hunter
    Giles, Cory
    Brown, Chase
    Georgescu, Constantin
    Wren, Jonathan
    EPIGENETICS, 2022, 17 (11) : 1404 - 1418
  • [7] Multi-tissue DNA methylation aging clocks for sea lions, walruses and seals
    Robeck, Todd R. R.
    Haghani, Amin
    Fei, Zhe
    Lindemann, Dana M. M.
    Russell, Jennifer
    Herrick, Kelsey E. S.
    Montano, Gisele
    Steinman, Karen J. J.
    Katsumata, Etsuko
    Zoller, Joseph A. A.
    Horvath, Steve
    COMMUNICATIONS BIOLOGY, 2023, 6 (01)
  • [8] Multi-tissue DNA methylation aging clocks for sea lions, walruses and seals
    Todd R. Robeck
    Amin Haghani
    Zhe Fei
    Dana M. Lindemann
    Jennifer Russell
    Kelsey E. S. Herrick
    Gisele Montano
    Karen J. Steinman
    Etsuko Katsumata
    Joseph A. Zoller
    Steve Horvath
    Communications Biology, 6
  • [9] Multi-tissue to whole plant metabolic modelling
    Rahul Shaw
    C. Y. Maurice Cheung
    Cellular and Molecular Life Sciences, 2020, 77 : 489 - 495
  • [10] Multi-tissue to whole plant metabolic modelling
    Shaw, Rahul
    Cheung, C. Y. Maurice
    CELLULAR AND MOLECULAR LIFE SCIENCES, 2020, 77 (03) : 489 - 495