1. The ferritin heavy chain (FHC) has a vital impact on follicular development in geese, due to its ability to regulate apoptosis of granulosa cells (GCs) and follicular atresia. However, its specific regulatory mechanisms remain unclear. The present study characterised how FHC regulates oxidative stress, cell proliferation and apoptosis in goose GCs by interfering with and overexpressing the FHC gene.2. After 72 h of interference with FHC expression, the activity of GCs decreased remarkably ( p < 0.05), reactive oxygen species (ROS) levels and the expression levels of antioxidant enzyme genes catalase ( CAT ), superoxide dismutase ( SOD ) and glutathione peroxidase ( GSH-Px ) increased significantly ( p < 0.05). The overexpression of FHC for 72 h was found to significantly reduce the expression of CAT and SOD genes ( p < 0.05).3. Interfering with FHC expression revealed that the expression levels of the cell proliferation gene Aurora kinase A ( AURORA-A ) were significantly decreased ( p < 0.05), while the expression levels of the apoptosis genes B-cell lymphoma-2 ( BCL-2 ) and cysteine aspartate-specific protease 8 ( CASPASE 8 ) increased ( p < 0.05). Further research has shown that, when interfering with FHC expression for 72 h, apoptosis rate increased by 1.19-fold ( p < 0.05), but the current data showed a lower apoptosis rate after FHC overexpression by 59.41%, 63.39%, and 52.31% at three different treatment times ( p < 0.05).4. In conclusion, FHC improved the antioxidant capacity of GCs, promotes GCs proliferation, and inhibits GCs apoptosis of ovarian follicles in Sichuan white geese.
Keyphrases
- oxidative stress
- cell cycle arrest
- poor prognosis
- induced apoptosis
- cell proliferation
- endoplasmic reticulum stress
- cell death
- pi k akt
- binding protein
- dna damage
- reactive oxygen species
- genome wide
- ischemia reperfusion injury
- long non coding rna
- diffuse large b cell lymphoma
- type diabetes
- gene expression
- dna methylation
- metabolic syndrome
- hydrogen peroxide
- copy number
- adipose tissue
- nitric oxide
- combination therapy
- big data
- bioinformatics analysis
- iron deficiency