Objective:To detect the expression of miR-106b~25 cluster in glioma cell line and tissues. Methods:Real-time PCR was performed to determine the expression of miR-106b~25 cluster members (miR-106b, miR-93, and miR-25) in different human glio-blastoma cell lines. Different pathological grade glioma specimens were surgically removed. In-situ hybridization was performed to de-tect the expression of miR-106b~25 cluster members in different pathological levels of glioma tissues. Results:In the expression of the benchmark on normal brain tissues, three kinds of miRNAs in all test cell lines have a tendency to increase. Based on the expression of the pathological level I average rate in 43 cases of glioma specimens collected after neurosurgical operations, the real-time PCR results showed that the average expression quantity of the three kinds of miRNAs in each group gradually increase. The increase in tumor path-ological levels results in statistically significant expression differences of miR-106b and miR-93 between the groups (F=4.479, P=0.018 and F=3.493, P=0.040, respectively). However, miR-25 expression differences between the groups have no statistically signifi-cant differences (F=2.766, P=0.075). In situ hybridization results show that the expressions of three miRNAs in high grade gliomas are significantly higher than that in the low-level tumor. Spearman rank correlation analysis results indicate that the expression of these miRNAs signal-intensity distribution is positively correlated with glioma, in accordance with WHO pathology classification. The corre-lation coefficient for miR-106b, miR-93, and miR-25 are 0.617, 0.438, and 0.463, respectively (P<0.001). Conclusion:The expression of miR-106b~25 cluster members is up-regulated in the glioma and is positively correlated with tumor grade.

ObjectiveThe potential suitable area for ecological planting， key ecological factors， and suitable range of Polygonatum odoratum in China were analyzed to provide theoretical and scientific guidance for the artificial planting of P. odoratum. MethodA total of 454 geographical distribution records of P. odoratum in China and 118 ecological factors were used in this study. The maximum entropy model （MaxEnt） was adopted to predict the suitable areas of P. odoratum. The key ecological factors and their suitable ranges were analyzed by the jackknife method， contribution rates of ecological factors， and response curves. ResultThe suitable areas of P. odoratum were mainly located in the northwest， north， and northeast of China， the highly suitable areas of which were concentrated in Shaanxi， Shanxi， Gansu， etc. Solar radiation in November （Srad11）， precipitation in July （Prec7）， percentage of evergreen/deciduous needleleaf trees （Class1）， silt content （2-50 μm） mass fraction （SLTPPT）， and annual average temperature （Bio1） were found to be the key ecological factors affecting the suitable distribution of P. odoratum in China. The cumulative contribution rate of solar radiation factors （31.29%）>vegetation factors （25.61%）>soil factors （19.52%）>precipitation factors （11.38%）>temperature factors （8.57%）>topography factors （3.63%）. ConclusionIt is suggested to carry out ecological planting of P. odoratum mainly in Shaanxi （such as Baoji and Ankang Cities and Ningshan， Liuba， and Hua Counties）， Gansu （such as Tianshui City， Gannan Tibetan Autonomous Prefecture， and Liangdang and Huating Counties）， and Shanxi （such as Yangquan， Taiyuan， Fenyang， and Jinzhong Cities， as well as Xingxian County） of China. Solar radiation factors should be given priority in the planting process， followed by vegetation， soil， precipitation， temperature， and topography factors. The range of key ecological factors， namely Srad11， Prec7， Class1， SLTPPT， and Bio1 should be controlled within 8 095.21-10 334.98 （optimum 8 787.50） kJ·m^-2·d^-1， 109.99-223.60 （146.91） mm， 1.00%-9.45% （6.76%-10.68%）， 41.73%-50.35% （46.53%）， and 3.29-16.33 （13.57） °C， respectively.