Meiotic gatekeeper STRA8 suppresses autophagy by repressing Nr1d1 expression during spermatogenesis in mice.
Ianina C FerderLeslie FungYasuyo OhguchiXiaoyu ZhangKara G LassenDiane E CapenDennis BrownRamnik J XavierNing WangPublished in: PLoS genetics (2019)
The transition from mitotic to meiotic cell cycles is essential for haploid gamete formation and fertility. Stimulated by retinoic acid gene 8 (Stra8) is an essential gatekeeper of meiotic initiation in vertebrates; yet, the molecular role of STRA8 remains principally unknown. Here we demonstrate that STRA8 functions as a suppressor of autophagy during spermatogenesis in mice. Stra8-deficient germ cells fail to enter meiosis and present aberrant upregulation of autophagy-lysosome genes, commensurate with autophagy activation. Biochemical assays show that ectopic expression of STRA8 alone is sufficient to inhibit both autophagy induction and maturation. Studies also revealed that, Nr1d1, a nuclear hormone receptor gene, is upregulated in Stra8-deficient testes and that STRA8 binds to the Nr1d1 promoter, indicating that Nr1d1 is a direct target of STRA8 transcriptional repression. In addition, it was found that NR1D1 binds to the promoter of Ulk1, a gene essential for autophagy initiation, and that Nr1d1 is required for the upregulated Ulk1 expression in Stra8-deficient testes. Furthermore, both genetic deletion of Nr1d1 and pharmacologic inhibition of NR1D1 by its synthetic antagonist SR8278 exhibit rescuing effects on the meiotic initiation defects observed in Stra8-deficient male germ cells. Together, the data suggest a novel link between STRA8-mediated autophagy suppression and meiotic initiation.
Keyphrases
- endoplasmic reticulum stress
- cell death
- signaling pathway
- induced apoptosis
- poor prognosis
- oxidative stress
- cell cycle arrest
- genome wide
- dna methylation
- copy number
- genome wide identification
- transcription factor
- single cell
- type diabetes
- wild type
- long non coding rna
- insulin resistance
- stem cells
- binding protein
- mesenchymal stem cells
- cell cycle
- deep learning
- pi k akt
- heat stress
- heat shock protein
- heat shock
- bioinformatics analysis