Objective To investigate whether sericin can protect streptozotocin (STZ) induced INS-1 cells injury by affecting autophagy and oxidative stress. Methods INS-1 cells were randomly divided into group A, B, C, D and E. In group A (normal group), INS-1 cells were cultured under conventional conditions for 24h without other treatments. In group B(STZ induced injury group), INS-1 cells were cultured with 10 mmol/L STZ for 24h. In group C, D and E, INS-1 cells were respectivly cultured with 10mmol/L STZ and different dose sericin (150μg/mL, 300μg/mL, 600μg/mL) for 24h. Western blot and real-time fluorescence quantitative PCR were used to detect the expressions of autophagy related gene protein and mRNA, and the reactive oxygen species(ROS) content in INS-1 cellswas detected by DCFH-DA ROS fluorescence probe. Results The expressions of LC3B-II/I, SIRT1, ATG5, BECLIN1, PINK1 proteins and mRNA in group C, D and E were all significantly higher than those in group B (P<0.05). The expression levels of each index in the three groups were group E>group D>group C, and the differences were statistically significant (P<0.05). The ROS content of INS-1 cells in group C, D and E were all obviously lower than that in group B (P<0.05). The ROS content of the three groups was in the order of group E<group D<group C, and the difference was statistically significant(P<0.05). Conclusions ericin can protect STZ induced INS-1 cells injury, and the protective mechanism is related to sericin's ability to reduce oxidative stress and enhance autophagy.

Objective To screen key genes and pathways associated with tumorigenesis and progression of triple-negative breast cancer (TNBC) by using bioinformatics analysis. Methods Two gene expression profilings containing TNBC (GSE76124) and normal mammary (GSE112825) tissue samples were obtained from Gene Expression Omnibus (GEO). R software was used to identify differentially expressed genes. Gene Ontology (GO) function analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were further performed by DAVID. STRING and Cytoscape were used to construct protein-protein interaction(PPI) network. Furthermore, hub genes, core modules and seed genes were screened out. Results A total of 1,091 differentially expressed genes were screened out. The results of GO function analysis and KEGG pathway maps showed that these genes were associated with aromatic compound biosynthetic process, heterocycle biosynthetic process, and mainly enriched on the pathways in cancer and PI3K-Akt signaling pathway.We identified 10 hub genes, 2 core modules and 19 seed genes in PPI network. Conclusion A total of 10 hub genes and 19 seed genes were screened, which may play potential roles in the tumorigenesis and progression of TNBC. This study provids a bioinformatic analysis reference for further research.