Knockdown of circ_0001273 inhibits the proliferation, migration and invasion of oral squamous cell carcinoma cells / 口腔疾病防治

Objective@#To explore the effect of circ_0001273 on the proliferation, migration and invasion of oral squamous cell carcinoma（OSCC） cells and to provide a relevant research basis for the use of targeted therapy in OSCC. @*Methods@#Data from twelve patients with a clinical diagnosis of OSCC were collected from tumor specimens and adjacent tissues. qRT-PCR was used to detect the expression levels of circ_0001273, circ_0018569, circ_0027152, and circ_0001273 which had the highest difference in expression in cancer and adjacent tissues was selected. siRNA was used for the knockdown of circ_0001273 in two types of OSCC cell lines, UM1 and CAL27, and the effects on the proliferation, migration, and invasion of UM1 and CAL27 cells were measured by MTS and Transwell experiments, respectively. @*Results@#The expression of circ_0001273 was abnormally increased in the 12 OSCC tissues (P < 0.05). After knocking down circ_0001273 in UM1 and CAL27 cells, the proliferation, migration and invasion abilities of UM1 and CAL27 cells were significantly reduced (P < 0.05).@*Conclusion@#The knockdown of circ_0001273 can inhibit the proliferation, migration and invasion of OSCC cells.

LncRNA SAMMSON overexpression distinguished glioblastoma patients from patients with diffuse neurosarcoidosis.

The MRI characteristics of diffuse neurosarcoidosis are similar to those of glioblastoma. Therefore, identification of novel biomarkers to distinguish these two diseases is needed. We found that lncRNA Survival Associated Mitochondrial Melanoma-Specific Oncogenic Non-Coding RNA (SAMMSON) was upregulated in plasma of glioblastoma patients but not in diffuse neurosarcoidosis patients comparing to healthy controls. Upregulated SAMMSON distinguished glioblastoma patients from diffuse neurosarcoidosis patients and healthy controls. MiR-622 in glioblastoma patients was inversely correlated with SAMMSON. SAMMSON overexpression caused the downregulated expression of miR-622 in glioblastoma cells, while miR-622 overexpression did not affect SAMMSON expression. SAMMSON overexpression mediated the increased proliferation rate of glioblastoma cells. MiR-622 overexpression played an opposite role and reduced the effects of SAMMSON overexpression. Therefore, plasma SAMMSON has diagnostic value for glioblastoma and SAMMSON overexpression may promote glioblastoma cell proliferation by downregulating miR-622.

Medical image classification using spatial adjacent histogram based on adaptive local binary patterns.

Medical image recognition is an important task in both computer vision and computational biology. In the field of medical image classification, representing an image based on local binary patterns (LBP) descriptor has become popular. However, most existing LBP-based methods encode the binary patterns in a fixed neighborhood radius and ignore the spatial relationships among local patterns. The ignoring of the spatial relationships in the LBP will cause a poor performance in the process of capturing discriminative features for complex samples, such as medical images obtained by microscope. To address this problem, in this paper we propose a novel method to improve local binary patterns by assigning an adaptive neighborhood radius for each pixel. Based on these adaptive local binary patterns, we further propose a spatial adjacent histogram strategy to encode the micro-structures for image representation. An extensive set of evaluations are performed on four medical datasets which show that the proposed method significantly improves standard LBP and compares favorably with several other prevailing approaches.

A strong adsorbent for Cu²âº: graphene oxide modified with triethanolamine.

A strong adsorbent TEA-GO for Cu(2+) is prepared using TEA modified GO nanosheets. FT-IR and XPS results show that epoxy groups on GO are eliminated, and simultaneously hydroxyl groups and C-N dominate the surface groups of TEA-GO. The increased equilibrium capacity of TEA-GO for a high initial concentration of Cu(2+) makes it a promising adsorbent for heavy metal ions.