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Identification of epigenetic memory candidates associated with gestational age at birth through analysis of methylome and transcriptional data
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|作者:
Kohei Kashima
Tomoko Kawai
Riki Nishimura
Yuh Shiwa
Kevin Y. Urayama
Hiromi Kamura
Kazue Takeda
Saki Aoto
Atsushi Ito
Keiko Matsubara
Takeshi Nagamatsu
Tomoyuki Fujii
Isaku Omori
Mitsumasa Shimizu
Hironobu Hyodo
Koji Kugu
Kenji Matsumoto
Atsushi Shimizu
Akira Oka
Masashi Mizuguchi
Kazuhiko Nakabayashi
Kenichiro Hata
Naoto Takahashi
机构:
[1] The University of Tokyo Hospital,Department of Pediatrics
[2] National Research Institute for Child Health and Development,Department of Maternal
[3] Iwate Medical University,Fetal Biology
[4] National Research Institute for Child Health and Development,Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center
[5] St. Luke’s International University,Department of Social Medicine
[6] National Research Institute for Child Health and Development,Graduate School of Public Health
[7] National Research Institute for Child Health and Development,Department of Allergy and Clinical Immunology
[8] National Research Institute for Child Health and Development,Medical Genome Center
[9] The University of Tokyo Hospital,Department of Molecular Endocrinology
[10] Tokyo Metropolitan Bokutoh Hospital,Department of Obstetrics and Gynecology
[11] Tokyo Metropolitan Bokutoh Hospital,Department of Neonatology
[12] Iwate Medical University,Department of Obstetrics and Gynecology
[13] The University of Tokyo,Division of Biomedical Information Analysis, Institute for Biomedical Sciences
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摘要:
Preterm birth is known to be associated with chronic disease risk in adulthood whereby epigenetic memory may play a mechanistic role in disease susceptibility. Gestational age (GA) is the most important prognostic factor for preterm infants, and numerous DNA methylation alterations associated with GA have been revealed by epigenome-wide association studies. However, in human preterm infants, whether the methylation changes relate to transcription in the fetal state and persist after birth remains to be elucidated. Here, we identified 461 transcripts associated with GA (range 23–41 weeks) and 2093 candidate CpG sites for GA-involved epigenetic memory through analysis of methylome (110 cord blood and 47 postnatal blood) and transcriptional data (55 cord blood). Moreover, we discovered the trends of chromatin state, such as polycomb-binding, among these candidate sites. Fifty-four memory candidate sites showed correlation between methylation and transcription, and the representative corresponding gene was UCN, which encodes urocortin.
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