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Identification of epigenetic memory candidates associated with gestational age at birth through analysis of methylome and transcriptional data

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 G...

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Autores principales: Kashima, Kohei, Kawai, Tomoko, Nishimura, Riki, Shiwa, Yuh, Urayama, Kevin Y., Kamura, Hiromi, Takeda, Kazue, Aoto, Saki, Ito, Atsushi, Matsubara, Keiko, Nagamatsu, Takeshi, Fujii, Tomoyuki, Omori, Isaku, Shimizu, Mitsumasa, Hyodo, Hironobu, Kugu, Koji, Matsumoto, Kenji, Shimizu, Atsushi, Oka, Akira, Mizuguchi, Masashi, Nakabayashi, Kazuhiko, Hata, Kenichiro, Takahashi, Naoto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7873311/
https://www.ncbi.nlm.nih.gov/pubmed/33564054
http://dx.doi.org/10.1038/s41598-021-83016-3
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author Kashima, Kohei
Kawai, Tomoko
Nishimura, Riki
Shiwa, Yuh
Urayama, Kevin Y.
Kamura, Hiromi
Takeda, Kazue
Aoto, Saki
Ito, Atsushi
Matsubara, Keiko
Nagamatsu, Takeshi
Fujii, Tomoyuki
Omori, Isaku
Shimizu, Mitsumasa
Hyodo, Hironobu
Kugu, Koji
Matsumoto, Kenji
Shimizu, Atsushi
Oka, Akira
Mizuguchi, Masashi
Nakabayashi, Kazuhiko
Hata, Kenichiro
Takahashi, Naoto
author_facet Kashima, Kohei
Kawai, Tomoko
Nishimura, Riki
Shiwa, Yuh
Urayama, Kevin Y.
Kamura, Hiromi
Takeda, Kazue
Aoto, Saki
Ito, Atsushi
Matsubara, Keiko
Nagamatsu, Takeshi
Fujii, Tomoyuki
Omori, Isaku
Shimizu, Mitsumasa
Hyodo, Hironobu
Kugu, Koji
Matsumoto, Kenji
Shimizu, Atsushi
Oka, Akira
Mizuguchi, Masashi
Nakabayashi, Kazuhiko
Hata, Kenichiro
Takahashi, Naoto
author_sort Kashima, Kohei
collection PubMed
description 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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spelling pubmed-78733112021-02-11 Identification of epigenetic memory candidates associated with gestational age at birth through analysis of methylome and transcriptional data Kashima, Kohei Kawai, Tomoko Nishimura, Riki Shiwa, Yuh Urayama, Kevin Y. Kamura, Hiromi Takeda, Kazue Aoto, Saki Ito, Atsushi Matsubara, Keiko Nagamatsu, Takeshi Fujii, Tomoyuki Omori, Isaku Shimizu, Mitsumasa Hyodo, Hironobu Kugu, Koji Matsumoto, Kenji Shimizu, Atsushi Oka, Akira Mizuguchi, Masashi Nakabayashi, Kazuhiko Hata, Kenichiro Takahashi, Naoto Sci Rep Article 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. Nature Publishing Group UK 2021-02-09 /pmc/articles/PMC7873311/ /pubmed/33564054 http://dx.doi.org/10.1038/s41598-021-83016-3 Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Kashima, Kohei
Kawai, Tomoko
Nishimura, Riki
Shiwa, Yuh
Urayama, Kevin Y.
Kamura, Hiromi
Takeda, Kazue
Aoto, Saki
Ito, Atsushi
Matsubara, Keiko
Nagamatsu, Takeshi
Fujii, Tomoyuki
Omori, Isaku
Shimizu, Mitsumasa
Hyodo, Hironobu
Kugu, Koji
Matsumoto, Kenji
Shimizu, Atsushi
Oka, Akira
Mizuguchi, Masashi
Nakabayashi, Kazuhiko
Hata, Kenichiro
Takahashi, Naoto
Identification of epigenetic memory candidates associated with gestational age at birth through analysis of methylome and transcriptional data
title Identification of epigenetic memory candidates associated with gestational age at birth through analysis of methylome and transcriptional data
title_full Identification of epigenetic memory candidates associated with gestational age at birth through analysis of methylome and transcriptional data
title_fullStr Identification of epigenetic memory candidates associated with gestational age at birth through analysis of methylome and transcriptional data
title_full_unstemmed Identification of epigenetic memory candidates associated with gestational age at birth through analysis of methylome and transcriptional data
title_short Identification of epigenetic memory candidates associated with gestational age at birth through analysis of methylome and transcriptional data
title_sort identification of epigenetic memory candidates associated with gestational age at birth through analysis of methylome and transcriptional data
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7873311/
https://www.ncbi.nlm.nih.gov/pubmed/33564054
http://dx.doi.org/10.1038/s41598-021-83016-3
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