Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Dewey Maddox"'
Autor:
Brenda Larison, Gabriela M. Pinho, Amin Haghani, Joseph A. Zoller, Caesar Z. Li, Carrie J. Finno, Colin Farrell, Christopher B. Kaelin, Gregory S. Barsh, Bernard Wooding, Todd R. Robeck, Dewey Maddox, Matteo Pellegrini, Steve Horvath
Publikováno v:
Communications Biology, Vol 4, Iss 1, Pp 1-9 (2021)
Larison et al. report epigenetic aging models in plains zebras (Equus quagga) using the epigenetic clock and epigenetic pacemaker approaches. Their epigenetic clock allows age to be accurately estimated in endangered sister species, and the pacemaker
Externí odkaz:
https://doaj.org/article/d0c3ad227a75455ab003a187e6f29a1f
Autor:
Pete Black, Dewey Maddox, Caesar Z. Li, Balazs Szladovits, Todd R. Robeck, Ken Raj, Amin Haghani, Joseph A. Zoller, Steve Horvath
Publikováno v:
GeroScience
GeroScience, vol 43, iss 5
GeroScience, vol 43, iss 5
Human DNA methylation profiles have been used successfully to develop highly accurate biomarkers of aging (“epigenetic clocks”). Although these human epigenetic clocks are not immediately applicable to all species of the animal kingdom, the princ
Autor:
Caesar Z. Li, Amin Haghani, Todd R. Robeck, Diego Villar, Ake T. Lu, Joshua Zhang, Chris G. Faulkes, Ha Vu, Julia Ablaeva, Danielle M. Adams, Reza Ardehali, Adriana Arneson, C. Scott Baker, Katherine Belov, Daniel T. Blumstein, Eleanor K. Bors, Charles E. Breeze, Robert T. Brooke, Janine L. Brown, Alex Caulton, Julie M. Cavin, Ioulia Chatzistamou, Hao Chen, Priscila Chiavellini, Oi-Wa Choi, Shannon Clarke, Joseph DeYoung, Candice K. Emmons, Stephan Emmrich, Zhe Fei, Steven H. Ferguson, Carrie J. Finno, Jennifer E. Flower, Jean-Michel Gaillard, Eva Garde, Vadim N. Gladyshev, Rodolfo G. Goya, M. Bradley Hanson, Martin Haulena, Kelsey Herrick, Andrew N. Hogan, Carolyn J. Hogg, Timothy A. Hore, Anna J. Jasinska, Gareth Jones, Eve Jourdain, Olga Kashpur, Harold Katcher, Etsuko Katsumata, Vimala Kaza, Hippokratis Kiaris, Michael S. Kobor, Pawel Kordowitzki, William R. Koski, Brenda Larison, Sang-Goo Lee, Marianne Lehmann, Jean-Francois Lemaitre, Andrew J. Levine, Cun Li, Xinmin Li, David TS Lin, Dana M. Lindemann, Nicholas Macoretta, Dewey Maddox, Craig O. Matkin, Julie A. Mattison, June Mergl, Jennifer J. Meudt, Gisele A. Montano, Khyobeni Mozhui, Asieh Naderi, Martina Nagy, Pritika Narayan, Peter W. Nathanielsz, Ngoc B. Nguyen, Christof Niehrs, Duncan T Odom, Alexander G. Ophir, Elaine A. Ostrander, Perrie O'Tierney Ginn, Kim M. Parsons, Kimberly C. Paul, Matteo Pellegrini, Gabriela M. Pinho, Jocelyn Plassais, Natalia A. Prado, Benjamin Rey, Beate R. Ritz, Jooke Robbins, Magdalena Rodriguez, Jennifer Russell, Elena Rydkina, Lindsay L. Sailer, Adam B. Salmon, Akshay Sanghavi, Kyle M. Schachtschneider, Dennis Schmitt, Lars Schomacher, Lawrence B. Schook, Karen E. Sears, Ashley W. Seifert, Anastasia V. Shindyapina, Kavita Singh, Ishani Sinha, Russel G. Snell, Elham Soltanmohammadi, Matthew L. Spangler, Maria Spriggs, Karen J. Steinman, Victoria J. Sugrue, Balazs Szladovits, Masaki Takasugi, Emma C. Teeling, Bill Van Bonn, Sonja C. Vernes, Harry V. Vinters, Mary C. Wallingford, Nan Wang, Gerald S. Wilkinson, Robert W. Williams, X. William Yang, Brent G. Young, Bohan Zhang, Zhihui Zhang, Peng Zhao, Yang Zhao, Wanding Zhou, Joseph A. Zoller, Jason Ernst, Andrei Seluanov, Ken Raj, Vera Gorbunova, Steve Horvath
Maximum lifespan of a species is the oldest that individuals can survive, reflecting the genetic limit of longevity in an ideal environment. Here we report methylation-based models that accurately predict maximum lifespan (r=0.89), gestational time (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fee697f5dd92102b3316fdd9b4d13a89
https://doi.org/10.1101/2021.05.16.444078
https://doi.org/10.1101/2021.05.16.444078
Autor:
Carrie J. Finno, Joseph A. Zoller, Hagani A, Steve Horvath, Gregory S. Barsh, Dewey Maddox, Wooding B, Christopher B. Kaelin, Colin Farrell, Caesar Z. Li, Larison B, Todd R. Robeck, Gabriela Medeiros de Pinho, Matteo Pellegrini
Five of the seven extant wild species of the genus Equus are species of significant conservation concern. Effective conservation and management of such threatened wildlife populations depends on the ability to estimate demographic trends and populati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f54cb4ddb815cd5b3dc7125d5aef1ce7
https://doi.org/10.1101/2021.03.29.437607
https://doi.org/10.1101/2021.03.29.437607