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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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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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. |
format | Online Article Text |
id | pubmed-7873311 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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