Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Csaba Kerepesi"'
Publikováno v:
Communications Biology, Vol 7, Iss 1, Pp 1-15 (2024)
Abstract Although aging clocks predicting the age of individual organisms have been extensively studied, the age of individual cells remained largely unexplored. Most recently single-cell omics clocks were developed for the mouse, however, extensive
Externí odkaz:
https://doaj.org/article/e177bd73166246529722a912546cbae5
Autor:
Ádám Sturm, Éva Saskői, Bernadette Hotzi, Anna Tarnóci, János Barna, Ferenc Bodnár, Himani Sharma, Tibor Kovács, Eszter Ari, Nóra Weinhardt, Csaba Kerepesi, András Perczel, Zoltán Ivics, Tibor Vellai
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-18 (2023)
Abstract Mobility of transposable elements (TEs) frequently leads to insertional mutations in functional DNA regions. In the potentially immortal germline, TEs are effectively suppressed by the Piwi-piRNA pathway. However, in the genomes of ageing so
Externí odkaz:
https://doaj.org/article/a97a5bcd39594174b9e0d2f0e89b8165
Autor:
Csaba Kerepesi, Margarita V. Meer, Julia Ablaeva, Vince G. Amoroso, Sang-Goo Lee, Bohan Zhang, Maxim V. Gerashchenko, Alexandre Trapp, Sun Hee Yim, Ake T. Lu, Morgan E. Levine, Andrei Seluanov, Steve Horvath, Thomas J. Park, Vera Gorbunova, Vadim N. Gladyshev
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-10 (2022)
The exceptionally long-lived naked mole-rat is characterized by the lack of increased mortality with aging. Here the authors perform epigenetic studies to show that naked mole-rats epigenetically age despite their non-increasing mortality rate.
Externí odkaz:
https://doaj.org/article/44f348039b714784b3968f7be0bc9284
Publikováno v:
Agronomy, Vol 12, Iss 2, p 395 (2022)
To better understand the potential of soils, understanding how soil properties vary over time and in-field is essential to optimize the cultivation and site-specific technologies in crop production. This article aimed at determining the within-field
Externí odkaz:
https://doaj.org/article/0f7b2bf0f5844aeaa148c82060c37435
Publikováno v:
PLoS ONE, Vol 14, Iss 4, p e0215473 (2019)
Here we show a method of directing the edges of the connectomes, prepared from HARDI datasets from the human brain. Before the present work, no high-definition directed braingraphs were published, because the tractography methods in use are not capab
Externí odkaz:
https://doaj.org/article/bceb379494604537b61a3bd5ecf2e5f9
Autor:
Csaba Kerepesi, Judit E Szabó, Veronika Papp-Kádár, Orsolya Dobay, Dóra Szabó, Vince Grolmusz, Beata G Vertessy
Publikováno v:
Frontiers in Microbiology, Vol 7 (2016)
Fine-tuned regulation of the cellular nucleotide pools is indispensable for faithful replication of DNA. The genetic information is also safeguarded by DNA damage recognition and repair processes. Uracil is one of the most frequently occurring errone
Externí odkaz:
https://doaj.org/article/b4111ab7d87c4acd8bd6d46aac9a70d8
Publikováno v:
PLoS ONE, Vol 11, Iss 6, p e0158680 (2016)
The human braingraph or the connectome is the object of an intensive research today. The advantage of the graph-approach to brain science is that the rich structures, algorithms and definitions of graph theory can be applied to the anatomical network
Externí odkaz:
https://doaj.org/article/d39ad851b4244f87a11f79b31449a623
Autor:
Matyas Jokai, Ferenc Torma, Kristen M. McGreevy, Erika Koltai, Zoltan Bori, Gergely Babszki, Peter Bakonyi, Zoltan Gombos, Bernadett Gyorgy, Dora Aczel, Laszlo Toth, Peter Osvath, Marcell Fridvalszky, Timea Teglas, Aniko Posa, Sylwester Kujach, Robert Olek, Takuji Kawamura, Yasuhiro Seki, Katsuhiko Suzuki, Kumpei Tanisawa, Sataro Goto, Csaba Kerepesi, Istvan Boldogh, Xueqing Ba, Kelvin J. A. Davies, Steve Horvath, Zsolt Radak
Publikováno v:
GeroScience.
DNAmPhenoAge, DNAmGrimAge, and the newly developed DNAmFitAge are DNA methylation (DNAm)-based biomarkers that reflect the individual aging process. Here, we examine the relationship between physical fitness and DNAm-based biomarkers in adults aged 3
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7cee8ceb7f081ab0f32dcb341215bad4
https://doi.org/10.1007/s11357-023-00826-1
https://doi.org/10.1007/s11357-023-00826-1
Autor:
Kejun Ying, Alexander Tyshkovskiy, Alexandre Trapp, Hanna Liu, Mahdi Moqri, Csaba Kerepesi, Vadim N. Gladyshev
Aging represents the greatest risk factor for chronic diseases and mortality, but to understand it we need the ability to measure biological age. In recent years, many machine learning algorithms based on omics data, termed aging clocks, have been de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::790cdb00ea3f43518903309ef396cc8c
https://doi.org/10.1101/2023.02.28.530532
https://doi.org/10.1101/2023.02.28.530532
Autor:
Patrick Griffin, Alice E. Kane, Alexandre Trapp, Jien Li, Matthew Arnold, Jesse R. Poganik, Ryan J. Conway, Maeve S. McNamara, Margarita Meer, Noah Hoffman, Joao A. Amorim, Xiao Tian, Michael R. MacArthur, Sarah J. Mitchell, Amber L. Mueller, Colleen Carmody, Daniel L. Vera, Csaba Kerepesi, Nicole Noren Hooten, James R. Mitchell, Michele K. Evans, Vadim N. Gladyshev, David A. Sinclair
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef2c72f0d7d153551687ff20f770f94b
https://doi.org/10.2139/ssrn.4384595
https://doi.org/10.2139/ssrn.4384595