Control of epigenomic landscape and development of fetal male germ cells through L-serine metabolism

Sex-specific metabolic characteristics emerge in the mouse germ line after reaching the genital ridges around embryonic day 10.5, coinciding with sexual differentiation. However, the impact of such metabolic characteristics on germ cell development remains unclear. In this study, we observed the specific upregulation in male fetal germ cells of D-3-phosphoglycerate dehydrogenase (PHGDH), the primary enzyme in the serine-glycine-one-carbon metabolism, along with an increase in a downstream metabolite, S-adenosylmethionine (SAM), crucial for protein and nucleic acid methylation. Inhibiting PHGDH in fetal testes resulted in reduced SAM levels in germ cells, accompanied by increases in the number of mouse vasa homolog (MVH/VASA)-positive germ cells and the promyelocytic leukemia zinc finger (PLZF)-positive undifferentiated spermatogonia ratio. Furthermore, PHGDH inhibition led to a decrease in the methylation of histone H3 and DNA, resulting in aberrations in gene expression profiles. In summary, our findings underscore the significant role of certain metabolic mechanisms in the development of male germ cells.

Authors

Institutions

Publication Details

Journal
iScience
Published
2024-08-08
DOI
https://doi.org/10.1016/j.isci.2024.110702
Citations
2
Primary Topic
Epigenetics and DNA Methylation
Type
article
Field-Weighted Citation Impact
0.47

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Control of epigenomic landscape and development of fetal male germ cells through L-serine metabolism

Kenjiro Shirane, Mayuka Funakoshi, Shigeki Furuya, Yumi Ito‐Matsuoka et al.
2 citations
iScience
Epigenetics and DNA Methylation
0.47
article

Control of epigenomic landscape and development of fetal male germ cells through L-serine metabolism

Kenjiro Shirane, Mayuka Funakoshi, Shigeki Furuya, Yumi Ito‐Matsuoka, Yasuhisa Matsui, Yohei Hayashi, So Maezawa, Asuka Takehara, Jintaro Kaneko
article en
2 citations

Abstract

Sex-specific metabolic characteristics emerge in the mouse germ line after reaching the genital ridges around embryonic day 10.5, coinciding with sexual differentiation. However, the impact of such metabolic characteristics on germ cell development remains unclear. In this study, we observed the specific upregulation in male fetal germ cells of D-3-phosphoglycerate dehydrogenase (PHGDH), the primary enzyme in the serine-glycine-one-carbon metabolism, along with an increase in a downstream metabolite, S-adenosylmethionine (SAM), crucial for protein and nucleic acid methylation. Inhibiting PHGDH in fetal testes resulted in reduced SAM levels in germ cells, accompanied by increases in the number of mouse vasa homolog (MVH/VASA)-positive germ cells and the promyelocytic leukemia zinc finger (PLZF)-positive undifferentiated spermatogonia ratio. Furthermore, PHGDH inhibition led to a decrease in the methylation of histone H3 and DNA, resulting in aberrations in gene expression profiles. In summary, our findings underscore the significant role of certain metabolic mechanisms in the development of male germ cells.

iScienceVol. 27(9)
Kyushu University (JP), Tokyo University of Science (JP), Tohoku University (JP), The University of Osaka (JP)
Ministry of Education, Culture, Sports, Science and Technology, Inamori Foundation, Kato Memorial Bioscience Foundation, Astellas Pharma, Astellas Foundation for Research on Metabolic Disorders, Mishima Kaiun Memorial Foundation, Japan Society for the Promotion of Science, RIKEN
Zero hunger
Openalex Percentile: Top 36%
Epigenetics and DNA Methylation
0.47
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.