Comparison of POU5F1 gene expression and protein localization in two differentiated and undifferentiated spermatogonial stem cells.
Mahla MasoudiHossein AziziKiana SojoudiMaedeh YazdaniDariush GholamiPublished in: Biologia futura (2022)
The POU domain, class 5, transcription factor 1 (POU5F1), plays a vital role in creating pluripotency and maintaining self-renewal of the spermatogonial stem cells (SSCs). In this experimental research, the gene and protein expression of POU5F1 in two populations of differentiated and undifferentiated spermatogonia were examined, by immunohistochemistry (IMH), immunocytochemistry (ICC) and Fluidigm real-time RT-PCR. Our study was extended with online databases and the creation of PPI networks. The results indicated that the POU5F1 protein was localized in the basal compartment of seminiferous tubules. Under in vitro conditions, isolated SSC colonies were ICC-positive for the POU5F1, but the protein expression level of POU5F1 in the undifferentiated populations was higher than that in differentiated. A significant POU5F1 mRNA expression was seen in passage 4 compared to passage 0 for both populations. POU5F1 has a significantly higher mRNA expression in undifferentiated SSCs than that in differentiated SSCs, also in mESCs than in SSC-like cells. Bioinformatic analysis on POU5F1 shows its impressive connection with other genes involved in spermatogonia differentiation. These results support the advanced investigations of spermatogonia differentiation, both in vitro and in vivo. A better understanding of the POU5F1 gene and its function during differentiation will give the scientific community an open perspective for the development of direct differentiation of SSC to other male germline cells which is very important in infertility treatment.
Keyphrases
- stem cells
- gene expression
- transcription factor
- mental health
- genome wide
- dna methylation
- dna repair
- dna damage
- social media
- machine learning
- protein protein
- copy number
- signaling pathway
- skeletal muscle
- small molecule
- cell therapy
- deep learning
- cell proliferation
- oxidative stress
- mesenchymal stem cells
- genetic diversity
- artificial intelligence