Evolutionarily divergent transcriptomic programs in ovarian folliculogenesis across mice, monkeys and humans

Understanding the mechanisms for human ovarian folliculogenesis is fundamental to reproductive biology and medicine. Here, we investigated transcriptomic dynamics in individual oocytes and their associated granulosa cells (GCs) during folliculogenesis in mice, monkeys and humans. Unlike mouse oocytes, which exhibited stage-specific, stepwise transcriptomic maturation, monkey and human oocytes showed minimal transcriptomic changes until the secondary follicle stage and could be broadly categorized as either immature or mature. In all three species, most highly variable genes during oocyte growth displayed monotonic up- or downregulation, with limited overlap in highly variable genes across species. GCs exhibited similarly species-specific transcriptomic trajectories. Correspondingly, intercellular communication pathways, including ligand-receptor signaling, gap junctions, and metabolic coupling between oocytes and GCs, demonstrated substantial species-specific differences. Nonetheless, X-chromosome dosage compensation and repression of evolutionarily young transposons were conserved across species. We established in vitro culture systems supporting preantral to antral follicle development in monkeys and humans, revealing relatively normal oocyte transcriptome maturation but aberrant GC profiles. By delineating interspecies differences in folliculogenesis, this study provides a framework for understanding human ovarian development and advancing its in vitro reconstruction.

Authors

Institutions

Publication Details

Journal
Development
Published
2026-01-08
DOI
https://doi.org/10.1242/dev.205241
Citations
1
Primary Topic
Reproductive Biology and Fertility
Type
article
Field-Weighted Citation Impact
41.85
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evolutionarily divergent transcriptomic programs in ovarian folliculogenesis across mice, monkeys and humans

Mitinori Saitou, Ikuo Kawamoto, Yukihiro Yabuta, Yoshitaka Katou et al.
1 citations
Development
Reproductive Biology and Fertility
41.85
article

Evolutionarily divergent transcriptomic programs in ovarian folliculogenesis across mice, monkeys and humans

Mitinori Saitou, Ikuo Kawamoto, Yukihiro Yabuta, Yoshitaka Katou, Hidetaka Tasaki, Guillaume Bourque, Tomonori Nakamura, Hideaki Tsuchiya, Hiroshi Ohta, Masaki Mandai, Ken Mizuta, Akihito Horie, Mikiya NAKATSUKA, Chizuru Iwatani, Baku Nakakita, Junko Otsuki, Tomoyuki Tsukiyama, Xun Chen
article en
1 citations

Abstract

Understanding the mechanisms for human ovarian folliculogenesis is fundamental to reproductive biology and medicine. Here, we investigated transcriptomic dynamics in individual oocytes and their associated granulosa cells (GCs) during folliculogenesis in mice, monkeys and humans. Unlike mouse oocytes, which exhibited stage-specific, stepwise transcriptomic maturation, monkey and human oocytes showed minimal transcriptomic changes until the secondary follicle stage and could be broadly categorized as either immature or mature. In all three species, most highly variable genes during oocyte growth displayed monotonic up- or downregulation, with limited overlap in highly variable genes across species. GCs exhibited similarly species-specific transcriptomic trajectories. Correspondingly, intercellular communication pathways, including ligand-receptor signaling, gap junctions, and metabolic coupling between oocytes and GCs, demonstrated substantial species-specific differences. Nonetheless, X-chromosome dosage compensation and repression of evolutionarily young transposons were conserved across species. We established in vitro culture systems supporting preantral to antral follicle development in monkeys and humans, revealing relatively normal oocyte transcriptome maturation but aberrant GC profiles. By delineating interspecies differences in folliculogenesis, this study provides a framework for understanding human ovarian development and advancing its in vitro reconstruction.

DevelopmentVol. 153(3)
Okayama University of Science (JP), Shiga University of Medical Science (JP), Okayama University (JP), Kyoto University (JP), McGill Genome Centre (CA), Kyoto University Hospital (JP), Kitano Hospital (JP), McGill University (CA)
Life in Land
Openalex Percentile: Top 2%
Reproductive Biology and Fertility
41.85
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.