Breast cancer stem cells (BCSCs) have high tumorigenicity and invasiveness which contributes to recurrence and metastasis. The long non-coding RNA (LncRNA) SOX21-AS1 has been previously reported to modulate the properties of breast cancer stem cells via targeting SOX2, but the underlying molecular mechanisms are unclear. To investigate this issue, here we first confirmed that the expression level of SOX21-AS1 is increased in breast cancer tissues and cell lines (MCF-7, MDA-MB-231, CSC-MCF-7, CSC-MDA-MB-231), especially in BCSCs. We demonstrated that SOX21-AS1 promotes the stemness of CSC-MCF-7 cells through western blot detection of stemness-related proteins, and side population (SP) and sphere formation assays. Overexpression of SOX21-AS1 enhanced the proliferation, migration and invasion of CSC-MCF-7 cells. We also observed that SOX21-AS1 inhibited the Hippo pathway. SOX21-AS1 enhanced the stemness, migration, and invasion of CSC-MCF-7 cells by increasing the nuclear localization of YAP and decreasing the level of pYAP. Overall, we conclude that SOX21-AS1 may promote the stemness viability, proliferation, migration and invasion of BCSCs by inhibiting the Hippo pathway. Our findings provide insights into potential biomarkers and prognostic measures for the treatment of breast cancer.

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In the present study, we cloned, sequenced, and explored the structural and functional characteristics of the major histocompatibility complex (MHC)-DQA gene from mink (Neovison vison) for the first time. The full-length sequence of DQA gene was 1147-bp-long, contained a coding region of 768-bp, which was predicted to encoding 255 amino acid residues. The comparison between DQA from mink (Neovison vison) and other MHC-DQA molecules from different animal species showed that nucleotide and encoded amino acid sequences of the mink DQA gene exhibited high similarity with the ferret (Mustela pulourius furo). Phylogenetic analysis revealed that mink (Neovison vison) DQA is grouped with that of ferret (Mustela pulourius furo). The cloned sequence contained a 23-amino acid NH2-terminal signal sequence with the signal peptide cutting site located in amino acids 23–24, and had three Asn-Xaa-Ser/Thr sequons. Three cysteine residues were also identified (Cys-85, Cys-121, and Cys-138). The 218 to 240 amino acids were predicted to be the transmembrane domains. The prediction of the secondary structure revealed three α-helixes and fourteen β-sheets in Neovison vison DQA protein, while random coil was a major pattern. In this study, the whole CDS sequence of Neovison vison DQA gene was successfully cloned, which was valuable for exploring the function and antiviral molecular mechanisms underlying the molecule. The findings of the present study have laid the foundation for the disease resistance and breeding of mink.

IntroductionIn order to study the impact of social factors on the evolution of the epidemic, this paper takes the COVID-19 in Hubei Province of China as an example to study the impact of social factors such as the permanent population, universities, hospitals, the distance between Wuhan seafood market and 17 cities in Hubei Province, and the distribution of medical supplies on the COVID-19. This is of great significance for helping to develop effective prevention and control measures and response strategies, ensuring public health and social stability.MethodsTime series regression analysis is used to study the impact of various factors on the epidemic situation, multidimensional scale analysis is used to assess the differences among provinces, and Almon polynomial is used to study the lag effect of the impact.ResultsWe found that these cities can be divided into three groups based on the number of confirmed cases and the time course data of the cases. The results verify that these factors have a great impact on the evolution of the COVID-19.DiscussionWith the increase in the number of universities, the number of confirmed cases and new cases has significantly increased. With the increase in population density, the number of new cases has significantly increased. In addition, the farther away from the Wuhan seafood market, the fewer confirmed cases. It is worth noting that the insufficient increase in medical supplies in some cities still leads to a significant increase in new cases. This impact is regional, and their lag periods are also different. Through the comparison with Guangdong Province, it is concluded that social factors will affect COVID-19. Overall, promoting the construction of medical schools and ensuring the reasonable distribution of medical supplies is crucial as it can effectively assist decision-making.