DNA methylation networks underlying mammalian traits

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المؤلفون: Haghani, A.; Li, C.; Robeck, T.; Zhang, J.; Lu, A.; Ablaeva, J.; Acosta-Rodríguez, V.; Adams, D.; Alagaili, A.; Almunia, J.; Aloysius, A.; Amor, N.; Ardehali, R.; Arneson, A.; Baker, C.; Banks, G.; Belov, K.; Bennett, N.; Black, P.; Blumstein, D.; Bors, E.; Breeze, C.; Brooke, R.; Brown, J.; Carter, G.; Caulton, A.; Cavin, J.; Chakrabarti, L.; Chatzistamou, I.; Chavez, A.; Chen, H.; Cheng, K.; Chiavellini, P.; Choi, O.; Clarke, S.; Cook, J.; Cooper, L.; Cossette, M.; Day, J.; DeYoung, J.; Dirocco, S.; Dold, C.; Dunnum, J.; Ehmke, E.; Emmons, C.; Emmrich, S.; Erbay, E.; Erlacher-Reid, C.; Faulkes, C.; Fei, Z.; Ferguson, S.; Finno, C.; Flower, J.; Gaillard, J.; Garde, E.; Gerber, L.; Gladyshev, V.; Goya, R.; Grant, M.; Green, C.; Hanson, M.; Hart, D.; Haulena, M.; Herrick, K.; Hogan, A.; Hogg, C.; Hore, T.; Huang, T.; Izpisua Belmonte, J.; Jasinska, A.; Jones, G.; Jourdain, E.; Kashpur, O.; Katcher, H.; Katsumata, E.; Kaza, V.; Kiaris, H.; Kobor, M.; Kordowitzki, P.; Koski, W.; Krützen, M.; Kwon, S.; Larison, B.; Lee, S.; Lehmann, M.; Lemaître, J.; Levine, A.; Li, X.; Lim, A.; Lin, D.; Lindemann, D.; Liphardt, S.; Little, T.; Macoretta, N.; Maddox, D.; Matkin, C.; Mattison, J.; McClure, M.; Mergl, J.; Meudt, J.; Montano, G.; Mozhui, K.; Munshi-South, J.; Murphy, W.; Naderi, A.; Nagy, M.; Narayan, P.; Nathanielsz, P.; Nguyen, N.; Niehrs, C.; Nyamsuren, B.; O’Brien, J.; Ginn, P.; Odom, D.; Ophir, A.; Osborn, S.; Ostrander, E.; Parsons, K.; Paul, K.; Pedersen, A.; Pellegrini, M.; Peters, K.; Petersen, J.; Pietersen, D.; Pinho, G.; Plassais, J.; Poganik, J.; Prado, N.; Reddy, P.; Rey, B.; Ritz, B.; Robbins, J.; Rodriguez, M.; Russell, J.; Rydkina, E.; Sailer, L.; Salmon, A.; Sanghavi, A.; Schachtschneider, K.; Schmitt, D.; Schmitt, T.; Schomacher, L.; Schook, L.; Sears, K.; Seifert, A.; Shafer, A.; Shindyapina, A.; Simmons, M.; Singh, K.; Sinha, I.; Slone, J.; Snell, R.; Soltanmohammadi, E.; Spangler, M.; Spriggs, M.; Staggs, L.; Stedman, N.; Steinman, K.; Stewart, D.; Sugrue, V.; Szladovits, B.; Takahashi, J.; Takasugi, M.; Teeling, E.; Thompson, M.; Van Bonn, B.; Vernes, S.; Villar, D.; Vinters, H.; Vu, H.; Wallingford, M.; Wang, N.; Wilkinson, G.; Williams, R.; Yan, Q.; Yao, M.; Young, B.; Zhang, B.; Zhang, Z.; Zhao, Y.; Zhao, P.; Zhou, W.; Zoller, J.; Ernst, J.; Seluanov, A.; Gorbunova, V.; Yang, X.; Raj, K.; Horvath, S.
المصدر:
Science
نوع التسجيلة:
article in journal/newspaper
اللغة:
English

معلومة اضافية
- الموضوع:
  2023
- Collection:
  Max Planck Society: MPG.PuRe
- نبذة مختصرة :
  INTRODUCTION Comparative epigenomics is an emerging field that combines epigenetic signatures with phylogenetic relationships to elucidate species characteristics such as maximum life span. For this study, we generated cytosine DNA methylation (DNAm) profiles (n = 15,456) from 348 mammalian species using a methylation array platform that targets highly conserved cytosines. RATIONALE Nature has evolved mammalian species of greatly differing life spans. To resolve the relationship of DNAm with maximum life span and phylogeny, we performed a large-scale cross-species unsupervised analysis. Comparative studies in many species enables the identification of epigenetic correlates of maximum life span and other traits. RESULTS We first tested whether DNAm levels in highly conserved cytosines captured phylogenetic relationships among species. We constructed phyloepigenetic trees that paralleled the traditional phylogeny. To avoid potential confounding by different tissue types, we generated tissue-specific phyloepigenetic trees. The high phyloepigenetic-phylogenetic congruence is due to differences in methylation levels and is not confounded by sequence conservation. We then interrogated the extent to which DNA methylation associates with specific biological traits. We used an unsupervised weighted correlation network analysis (WGCNA) to identify clusters of highly correlated CpGs (comethylation modules). WGCNA identified 55 distinct comethylation modules, of which 30 were significantly associated with traits including maximum life span, adult weight, age, sex, human mortality risk, or perturbations that modulate murine life span. Both the epigenome-wide association analysis (EWAS) and eigengene-based analysis identified methylation signatures of maximum life span, and most of these were independent of aging, presumably set at birth, and could be stable predictors of life span at any point in life. Several CpGs that are more highly methylated in long-lived species are located near HOXL subclass homeoboxes and other genes ...
- File Description:
  application/pdf
- Relation:
  http://hdl.handle.net/21.11116/0000-000D-C09A-C; http://hdl.handle.net/21.11116/0000-000D-C09C-A
- الدخول الالكتروني :
  http://hdl.handle.net/21.11116/0000-000D-C09A-C
  http://hdl.handle.net/21.11116/0000-000D-C09C-A
- Rights:
  info:eu-repo/semantics/openAccess
- الرقم المعرف:
  edsbas.FDC584FC

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DNA methylation networks underlying mammalian traits

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