Silenced ANP32A inhibits the growth, invasion and migration of colorectal cancer in vitro via the inactivation of AKT pathway / 南方医科大学学报

OBJECTIVE@#To investigate the effect of ANP32A silencing on invasion and migration of colon cancer cells and the influence of the activity of AKT signaling pathway on this effect.@*METHODS@#Colorectal cancer HCT116 and SW480 were transfected with a small interfering RNA targeting ANP32A via a lentiviral vector. At 24, 48 and 72 h after the transfection, the changes in cell proliferation and AKT activity in the cells were detected using MTT assay and Western blotting, respectively. HCT116 and SW480 cells were treated with the AKT agonist SC79 or its inhibitor MK2206 for 24, 48, 72 and 96 h, and the changes in cell migration and invasion ability were analyzed using Transwell chamber assay and cell proliferation was assessed using MTT assay. The effects of SC79 and MK2206 on migration and invasion abilities of HCT116 and SW480 cells with or without ANP32A silencing were examined using wound healing and Transwell chamber assays, and the changes in the expression of metadherin (MTDH), a factor associated with cells invasion and migration, was detected with Western blotting.@*RESULTS@#Lentivirus-mediated ANP32A silencing significantly down-regulated the activity of AKT and inhibited the proliferation of both HCT116 and SW480 cells (P < 0.01). The application of AKT inhibitor MK2206 obviously inhibited the proliferation, invasion and migration of the colorectal cancer cells (P < 0.05), while the AKT agonist SC79 significantly promoted the invasion and migration of the cells (P < 0.01). In HCT116 and SW480 cells with ANP32A silencing, treatment with MK2206 strongly enhanced the inhibitory effects of ANP32A silencing on cell invasion and migration (P < 0.05) and the expression of MTDH, while SC79 partially reversed these inhibitory effects (P < 0.01).@*CONCLUSION@#ANP32A silencing inhibits invasion and migration of colorectal cancer cells possibly by inhibiting the activation of the AKT signaling pathway.

Evaluation of the value of near infrared (NIR) spectromicroscopy for the analysis of glycyrrizhic acid in licorice / 中国天然药物

It has been reported that hyperspectral data could be employed to qualitatively elucidate the spatial composition of tablets of Chinese medicinal plants. To gain more insights into this technology, a quantitative profile provided by near infrared (NIR) spectromicroscopy was further studied by determining the glycyrrhizic acid content in licorice, Glycyrrhiza uralensis. Thirty-nine samples from twenty-four different origins were analyzed using NIR spectromicroscopy. Partial least squares, interval partial least square (iPLS), and least squares support vector regression (LS-SVR) methods were used to develop linear and non-linear calibration models, with optimal calibration parameters (number of interval numbers, kernel parameter, etc.) being explored. The root mean square error of prediction (RMSEP) and the coefficient of determination (R(2)) of the iPLS model were 0.717 7% and 0.936 1 in the prediction set, respectively. The RMSEP and R(2) of LS-SVR model were 0.515 5% and 0.951 4 in the prediction set, respectively. These results demonstrated that the glycyrrhizic acid content in licorice could barely be analyzed by NIR spectromicroscopy, suggesting that good quality quantitative data are difficult to obtain from microscopic NIR spectra for complicated Chinese medicinal plant materials.