CREB1 Is Involved in miR-134-5p-Mediated Endometrial Stromal Cell Proliferation, Apoptosis, and Autophagy.
Xiaodan LiXiaolei YaoKang LiJiahe GuoKaiping DengZhipeng LiuFan YangYixuan FanYingnan YangHuabin ZhuFeng WangPublished in: Cells (2023)
The successful establishment of endometrial receptivity is a key factor in ensuring the fertility of ewes and their economic benefits. Hu sheep have attracted attention due to their high fecundity and year-round estrus. In this study, we found that in the luteal phase, the uterine gland density, uterine coefficient, and number of uterine caruncles of high-fertility Hu sheep were higher than those of low-fertility Hu sheep. Thousands of differentially expressed genes were identified in the endometrium of Hu sheep with different fertility potential using RNA sequencing (RNA-Seq). Several genes involved in endometrial receptivity were screened using bioinformatics analysis. The qRT-PCR analysis further revealed the differential expression of cAMP reactive element binding protein-1 ( CREB1 ) in the Hu sheep endometrium during the estrous cycle. Functionally, our results suggested that CREB1 significantly affected the expression level of endometrial receptivity marker genes, promoted cell proliferation by facilitating the transition from the G1 phase to the S phase, and inhibited cell apoptosis and autophagy. Moreover, we observed a negative linear correlation between miR-134-5p and CREB1 in the endometrium. In addition, CREB1 overexpression prevented the negative effect of miR-134-5p on endometrial stromal cell (ESC) growth. Taken together, these data indicated that CREB1 was regulated by miR-134-5p and may promote the establishment of uterine receptivity by regulating the function of ESCs. Moreover, this study provides new theoretical references for identifying candidate genes associated with fertility.
Keyphrases
- cell proliferation
- single cell
- rna seq
- bioinformatics analysis
- binding protein
- endometrial cancer
- endoplasmic reticulum stress
- cell death
- oxidative stress
- childhood cancer
- bone marrow
- cell cycle
- genome wide
- poor prognosis
- stem cells
- gene expression
- magnetic resonance imaging
- computed tomography
- dna methylation
- electronic health record
- big data
- mesenchymal stem cells
- young adults
- magnetic resonance
- machine learning
- risk assessment
- human health
- diffusion weighted imaging