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Objective To explore the expression of long non-coding RNA (lncRNA) SNORD3A in glioma tissues and cell lines and its effect on proliferation and invasion of glioma cells. Methods We analyzed the differentially expressed lncRNAs in the National Center for Biotechnology Information (NCBI) GEO (GSE58276) by bioinformatics. A total of 30 glioma tissue specimen were collected from June 2017 to August 2019, lncRNA SNORD3A expression was detected by real-time fluorescence quantitative polymerase chain reaction (PCR). The si-SNORD3A was transfected into T98G and U251 cells. CCK-8 was used to analyze the proliferative capacity of cells. Transwell assay was used to detect cell invasion changes. The expression of c-Myc protein was detected by Western blotting. Results Compared with the control group, the expression level of lncRNA SNORD3A in glioma tissue was increased (P = 0.000). Compared with HEB cells, the expression levels of T98G, U87, U251 and U373 lncRNA SNORD3A in glioma cell lines were elevated (P < 0.05, for all). The expression levels of lncRNA SNORD3A in T98G cells (P = 0.001, 0.007) and U251 cells (P = 0.002, 0.009) in si-SNORD3A-1 group and si-SNORD3A-2 group were lower than those in control group. At 24, 48 and 72 h after transfection, the proliferation capacity of T98G cells (P = 0.000, for all) and U251 cells (P = 0.000, for all) in si-SNORD3A-1 and si-SNORD3A-2 groups were lower than those in control group. At 48 h after transfection, the number of T98G and U251 cells passing through the chamber in si-SNORD3A-1 and si-SNORD3A-2 groups were less than those in control group (P = 0.000, for all), and the levels of c-Myc mRNA and protein expression were lower than control group (P < 0.01, for all). Conclusions lncRNA SNORD3A promotes proliferation and invasion of T98G and U251 cells by partly targeting c-Myc. [ABSTRACT FROM AUTHOR]

This paper presents a watermarking algorithm based on non-negative matrix factorization (NMF) and orthogonal projection transformation. Firstly, the base matrix of an image is constructed by NMF, which is the part-based image representation. Then, the base matrix is converted perpendicularly and it is regarded as a key to extract the watermark later. The watermark is embedded into the coefficient matrix, which is made by mapping the image to the orthogonal base matrix. Finally the image is reconstructed by inverse transform of the matrix. The presented algorithm demonstrates an obvious advantage in precision of reconstruction because the basic NMF method is improved by above steps. It has been applied to the digital watermarking system and the result shows better robustness and practicability than that reported in reference [4]. [ABSTRACT FROM AUTHOR]