Back

A wave of minor de novo DNA methylation initiates in mouse 8-cell embryos and co-regulates imprinted X- chromosome inactivation

Yue, Y.; Fu, W.; Yang, Q.; Zhang, C.; Wenjuan Wang, W. w.; Chu, M.; Lyu, Q.; Tang, Y.; Cui, J.; Wang, X.; Zhang, Z.; Tian, J.; An, L.

2023-10-10 developmental biology
10.1101/2023.10.06.561284 bioRxiv
Show abstract

DNA methylation is extensively reprogrammed during early stage of mammalian development and is essential for normal embryogenesis. It is well established that mouse embryos acquire genome-wide DNA methylation during implantation, referred to as de novo DNA methylation, from globally hypomethylated blastocysts. However, the fact that the main de novo DNA methyltransferase 3B (DNMT3B) is initially expressed as early as the 8-cell stage, contradicts the current knowledge about timing of initiation of de novo DNA methylation. Here, we reported that a previously overlooked minor wave of de novo DNA methylation initially occurs during the transition from the 8-cell to blastocyst stage, before the well-known large-scale de novo DNA methylation during implantation. Functional analyses indicated that minor de novo DNA methylation regulates proliferation, lineage differentiation and metabolic homeostasis of preimplantation embryos, and is critical for embryonic developmental potential and pregnancy outcomes. Furthermore, bioinformatic and functional analyses indicated that minor de novo DNA methylation preferentially occurs on the X chromosome and co-regulates imprinted X-chromosome inactivation via the interaction between DNMT3B and polycomb repressive complexes 2 core components during blastocyst formation. Thus, our study updates the current knowledge of embryonic de novo DNA methylation, thereby providing a novel insight of early embryonic epigenetic reprogramming. Summary statementA minor wave of de novo DNA methylation has been initiated prior to blastocyst formation, but not during the implantation period, and co-regulates imprinted X-chromosome inactivation.

Matching journals

The top 2 journals account for 50% of the predicted probability mass.

1
Epigenetics
43 papers in training set
Top 0.1%
41.2%
2
Epigenetics & Chromatin
42 papers in training set
Top 0.1%
10.6%
50% of probability mass above
3
Frontiers in Cell and Developmental Biology
218 papers in training set
Top 0.8%
5.1%
4
Epigenomics
10 papers in training set
Top 0.1%
5.1%
5
Clinical Epigenetics
53 papers in training set
Top 0.2%
4.4%
6
Scientific Reports
3102 papers in training set
Top 32%
3.8%
7
iScience
1063 papers in training set
Top 4%
3.8%
8
International Journal of Molecular Sciences
453 papers in training set
Top 6%
2.0%
9
Nucleic Acids Research
1128 papers in training set
Top 10%
1.8%
10
Gene
41 papers in training set
Top 0.8%
1.8%
11
eLife
5422 papers in training set
Top 40%
1.8%
12
Human Molecular Genetics
130 papers in training set
Top 2%
1.7%
13
Biology Open
130 papers in training set
Top 2%
0.9%
14
Open Biology
95 papers in training set
Top 2%
0.8%
15
Stem Cell Reports
118 papers in training set
Top 0.9%
0.8%
16
Genomics, Proteomics & Bioinformatics
171 papers in training set
Top 6%
0.8%
17
BMC Biology
248 papers in training set
Top 4%
0.8%
18
Development
440 papers in training set
Top 3%
0.8%
19
PLOS Biology
408 papers in training set
Top 18%
0.8%
20
European Journal of Human Genetics
49 papers in training set
Top 1%
0.7%
21
Developmental Dynamics
50 papers in training set
Top 0.8%
0.7%
22
Frontiers in Genetics
197 papers in training set
Top 12%
0.5%
23
Nature Communications
4913 papers in training set
Top 66%
0.5%
24
Briefings in Bioinformatics
326 papers in training set
Top 8%
0.5%
25
PLOS ONE
4510 papers in training set
Top 73%
0.5%