Эпигенетические часы (Russian Wikipedia)

Analysis of information sources in references of the Wikipedia article "Эпигенетические часы" in Russian language version.

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  • Moaddel, R., Ubaida‐Mohien, C., Tanaka, T., Lyashkov, A., Basisty, N., Schilling, B., … & Ferrucci, L. (2021). Proteomics in aging research: A roadmap to clinical, translational research. Aging Cell, e13325. PMID 33730416 doi:10.1111/acel.13325
  • Johnson, A. A., Shokhirev, M. N., & Lehallier, B. (2021). The protein inputs of an ultra-predictive aging clock represent viable anti-aging drug targets. Ageing Research Reviews, 70, 101404. PMID 34242807 doi:10.1016/j.arr.2021.101404
  • Sathyan, S., Ayers, E., Gao, T., Weiss, E. F., Milman, S., Verghese, J., & Barzilai, N. (2020). Plasma proteomic profile of age, health span, and all‐cause mortality in older adults. Aging cell, 19(11), e13250. PMID 33089916 PMC 7681045 doi:10.1111/acel.13250
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  • Koncevičius, K., Nair, A., Šveikauskaitė, A., Šeštokaitė, A., Kazlauskaitė, A., Dulskas, A., & Petronis, A. (2024). Epigenetic age oscillates during the day Архивная копия от 7 мая 2024 на Wayback Machine. Aging Cell, e14170. PMID 38638005 doi:10.1111/acel.14170
  • Yushkova, E., & Moskalev, A. (2023). Transposable elements and their role in aging. Ageing Research Reviews, 86, 101881. PMID 36773759 doi:10.1016/j.arr.2023.101881
  • Liu, X., Liu, Z., Wu, Z., Ren, J., Fan, Y., Sun, L., ... & Liu, G. H. (2023). Resurrection of endogenous retroviruses during aging reinforces senescence. Cell, 186(2), 287-304. PMID 36610399 doi:10.1016/j.cell.2022.12.017
  • Ndhlovu, L. C., Bendall, M. L., Dwaraka, V., Pang, A. P., Dopkins, N., Carreras, N., ... & Corley, M. J. (2023). Retroelement-Age Clocks: Epigenetic Age Captured by Human Endogenous Retrovirus and LINE-1 DNA methylation states. bioRxiv. PMID 38106164 PMC 10723416 doi:10.1101/2023.12.06.570422
  • Li, A., Mueller, A., English, B., Arena, A., Vera, D., Kane, A. E., & Sinclair, D. A. (2022). Novel feature selection methods for construction of accurate epigenetic clocks. PLoS computational biology, 18(8), e1009938. PMID 35984867 PMC 9432708 doi:10.1371/journal.pcbi.1009938
  • Weidner, C. I., Lin, Q., Koch, C. M., Eisele, L., Beier, F., Ziegler, P., … & Wagner, W. (2014). Aging of blood can be tracked by DNA methylation changes at just three CpG sites. Genome biology, 15(2), 1-12. PMID 24490752 PMC 4053864 doi:10.1186/gb-2014-15-2-r24
  • Daunay, A., Hardy, L. M., Bouyacoub, Y., Sahbatou, M., Touvier, M., Blanché, H., … & How-Kit, A. (2022). Centenarians consistently present a younger epigenetic age than their chronological age with four epigenetic clocks based on a small number of CpG sites. Aging, 14(19), 7718—7733. PMID 36202132 doi:10.18632/aging.204316
  • Zaguia, A., Pandey, D., Painuly, S., Pal, S. K., Garg, V. K., & Goel, N. (2022). DNA methylation biomarkers-based human age prediction using machine learning. Computational Intelligence and Neuroscience, 2022. PMID 35111213 PMC 8803417 doi:10.1155/2022/8393498
  • Fan, H., Xie, Q., Zhang, Z., Wang, J., Chen, X., & Qiu, P. (2021). Chronological age prediction: developmental evaluation of DNA methylation-based machine learning models. Frontiers in bioengineering and biotechnology, 9. PMID 35141217 PMC 8819006 doi:10.3389/fbioe.2021.819991
  • Garagnani, P., Bacalini, M. G., Pirazzini, C., Gori, D., Giuliani, C., Mari, D., … & Franceschi, C. (2012). Methylation of ELOVL 2 gene as a new epigenetic marker of age. Aging cell, 11(6), 1132—1134. PMID 23061750 doi:10.1111/acel.12005
  • Ni, X. L., Yuan, H. P., Jiao, J., Wang, Z. P., Su, H. B., Lyu, Y., … & Yang, Z. (2022). An epigenetic clock model for assessing the human biological age of healthy aging. Zhonghua yi xue za zhi, 102(2), 119—124. PMID 35012300 doi:10.3760/cma.j.cn112137-20210817-01862
  • Spólnicka, M., Pośpiech, E., Pepłońska, B., Zbieć-Piekarska, R., Makowska, Ż., Pięta, A., … & Branicki, W. (2018). DNA methylation in ELOVL2 and C1orf132 correctly predicted chronological age of individuals from three disease groups. International journal of legal medicine, 132(1), 1-11. PMID 28725932 PMC 5748441 doi:10.1007/s00414-017-1636-0
  • Jung, S. E., Lim, S. M., Hong, S. R., Lee, E. H., Shin, K. J., & Lee, H. Y. (2019). DNA methylation of the ELOVL2, FHL2, KLF14, C1orf132/MIR29B2C, and TRIM59 genes for age prediction from blood, saliva, and buccal swab samples. Forensic Science International: Genetics, 38, 1-8. PMID 30300865 doi:10.1016/j.fsigen.2018.09.010

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sciencedaily.com

  • "Scientist uncovers internal clock able to measure age of most human tissues; Women's breast tissue ages faster than rest of body". ScienceDaily (англ.). Архивировано 17 февраля 2019. Дата обращения: 30 ноября 2017.

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