Epigenetic regulation of fetal brain development in pig.


Journal

Gene
ISSN: 1879-0038
Titre abrégé: Gene
Pays: Netherlands
ID NLM: 7706761

Informations de publication

Date de publication:
30 Nov 2022
Historique:
received: 22 03 2022
revised: 27 07 2022
accepted: 15 08 2022
pubmed: 22 8 2022
medline: 14 9 2022
entrez: 21 8 2022
Statut: ppublish

Résumé

How fetal brain development is regulated at the molecular level is not well understood. Due to ethical challenges associated with research on the human fetus, large animals particularly pigs are increasingly used to study development and disorders of fetal brain. The pig fetal brain grows rapidly during the last ∼ 50 days before birth which is around day 60 (d60) of pig gestation. But what regulates the onset of accelerated growth of the brain is unknown. The current study tests the hypothesis that epigenetic alteration around d60 is involved in the onset of rapid growth of fetal brain of pig. To test this hypothesis, DNA methylation changes of fetal brain was assessed in a genome-wide manner by Enzymatic Methyl-seq (EM-seq) during two gestational periods (GP): d45 vs. d60 (GP1) and d60 vs. d90 (GP2). The cytosine-guanine (CpG) methylation data was analyzed in an integrative manner with the RNA-seq data generated from the same brain samples from our earlier study. A neural network based modeling approach was implemented to learn changes in methylation patterns of the differentially expressed genes, and then predict methylations of the brain in a genome-wide manner during rapid growth. This approach identified specific methylations that changed in a mutually informative manner during rapid growth of the fetal brain. These methylations were significantly overrepresented in specific genic as well as intergenic features including CpG islands, introns, and untranslated regions. In addition, sex-bias methylations of known single nucleotide polymorphic sites were also identified in the fetal brain ide during rapid growth.

Identifiants

pubmed: 35988784
pii: S0378-1119(22)00642-4
doi: 10.1016/j.gene.2022.146823
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

146823

Informations de copyright

Copyright © 2022 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Monica Strawn (M)

Division of Animal Sciences, University of Missouri, Columbia Missouri 65211.

Susanta K Behura (SK)

Division of Animal Sciences, University of Missouri, Columbia Missouri 65211; MU Institute for Data Science and Informatics, University of Missouri, Columbia Missouri 65211; Interdisciplenary Neuroscience Program, University of Missouri, Columbia Missouri 65211. Electronic address: behuras@missouri.edu.

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Classifications MeSH