Microarray transcriptome datasets of maternal-zygotic DNA methyltransferase 3aa-/- zebrafish during early developmental stages

DNA methylation is an epigenetic regulator mediated by DNA methyltransferases (Dnmts). The methylation is involved in control of gene expression in vertebrates. It has been re -ported that there are mainly two types of de novo Dn-mts, Dnmt3a and Dnmt3b, in mammals. These two Dn-mts function in DNA methylation in the distinct or over-lapping genomic regions. The zebrafish homologs of mam-malian Dnmt3a are Dnmt3aa and Dnmt3ab. We generated a maternal-zygotic dnmt3aa deficient mutant (MZdnmt3aa) to identify the specific target regions for DNA methylation in the zebrafish genome and their function in the develop-mental process. Microarray analysis revealed alterations in gene expression by knock-out of dnmt3aa in early zebrafish development. Microarray datasets were produced from sam-ples at five different developmental stages: 1-2 cell, shield, 5-somite, 1-day post fertilization (dpf), and 2 dpf. Herein, we present novel raw and processed transcriptome datasets generated by analysis of the MZdnmt3aa -/- mutant. The raw microarray data are available through the Gene Expression Omnibus (GEO), accession number GSE202646. These tran-scriptome data may be useful for comparing differences in gene expression among species of Dnmt3a mutants and for analyzing human diseases caused by DNMT3A such as acute myelogenous leukemia (AML).(c) 2023 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license ( http://creativecommons.org/licenses/by/4.0/ )

Automated summary

DNA methylation is a type of epigenetic regulation mediated by DNA methyltransferases (Dnmts), which control gene expression in vertebrates. The two types of de novo Dnmts, Dnmt3a and Dnmt3b, function in DNA methylation in different or overlapping genomic regions. In zebrafish, the homologs of Dnmt3a are Dnmt3aa and Dnmt3ab. Knock-out of dnmt3aa in zebrafish development alters gene expression, as revealed by microarray analysis. The generated transcriptome datasets from the dnmt3aa-deficient mutant may be useful for comparative analysis and studying human diseases caused by DNMT3A.