Iyer, Dhanur P. and Moyon, Lambert and Wittler, Lars and Cheng, Chieh-Yu and Ringeling, Francisca R. and Canzar, Stefan and Marsico, Annalisa and Bulut-Karslioglu, Aydan (2024) Combinatorial microRNA activity is essential for the transition of pluripotent cells from proliferation into dormancy. GENOME RESEARCH, 34 (4). pp. 572-589. ISSN 1088-9051, 1549-5469
Full text not available from this repository. (Request a copy)Abstract
Dormancy is a key feature of stem cell function in adult tissues as well as in embryonic cells in the context of diapause. The establishment of dormancy is an active process that involves extensive transcriptional, epigenetic, and metabolic rewiring. How these processes are coordinated to successfully transition cells to the resting dormant state remains unclear. Here we show that microRNA activity, which is otherwise dispensable for preimplantation development, is essential for the adaptation of early mouse embryos to the dormant state of diapause. In particular, the pluripotent epiblast depends on miRNA activity, the absence of which results in the loss of pluripotent cells. Through the integration of high-sensitivity small RNA expression profiling of individual embryos and protein expression of miRNA targets with public data of protein-protein interactions, we constructed the miRNA-mediated regulatory network of mouse early embryos specific to diapause. We find that individual miRNAs contribute to the combinatorial regulation by the network, and the perturbation of the network compromises embryo survival in diapause. We further identified the nutrient-sensitive transcription factor TFE3 as an upstream regulator of diapause-specific miRNAs, linking cytoplasmic MTOR activity to nuclear miRNA biogenesis. Our results place miRNAs as a critical regulatory layer for the molecular rewiring of early embryos to establish dormancy.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | EMBRYONIC STEM-CELLS; DICER; IMPLANTATION; BLASTOCYSTS; PROGRESSION; BIOGENESIS; INDUCTION; RECOVERY; DGCR8; GENES; |
| Subjects: | 000 Computer science, information & general works > 004 Computer science |
| Divisions: | Informatics and Data Science > Department Computational Life Science > Algorithmische Bioinformatik (Prof. Dr. Stefan Canzar) |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 16 Jan 2026 12:47 |
| Last Modified: | 16 Jan 2026 12:47 |
| URI: | https://pred.uni-regensburg.de/id/eprint/64857 |
Actions (login required)
 |
View Item |
