AIM:To investigate the biological role of mi R-1290 in esophageal squamous cell carcinoma(ESCC) progression and invasion and the underlying mechanism.METHODS:Quantitative real-time polymerase chain reaction(q RT-PCR) ...AIM:To investigate the biological role of mi R-1290 in esophageal squamous cell carcinoma(ESCC) progression and invasion and the underlying mechanism.METHODS:Quantitative real-time polymerase chain reaction(q RT-PCR) was performed to evaluate mi R-1290 expression in ESCC tissue samples.The roles of mi R-1290 in cell proliferation,migration and invasion were identified using mi R-1290 mimic-transfected cells.In addition,the regulatory effect of mi R-1290 on suppressor of cancer cell invasion(SCAI) was evaluated using q RT-PCR,Western blot analysis and a dual luciferase reporter assay.RESULTS:mi R-1290 was significantly upregulated in ESCC tissue samples compared with normal adjacent tissues(9.213 ± 1.150 vs 1.000 ± 0.0),(P < 0.01).Upregulation of mi R-1290 was associated with tumor differentiation(P = 0.021),N classification(P = 0.006) and tumor-node-metastasis stage(P = 0.021) in ESCC patients.Moreover,ectopic mi R-1290 expression potently promoted ESCC cell growth(P < 0.01),migration(P < 0.01) and invasion(P < 0.01) in vitro.mi R-1290 overexpression in ESCC cell lines decreased SCAI expression at the translational level and reduced SCAI-driven luciferase-reporter activity(P < 0.01).CONCLUSION:Our findings suggested that mi R-1290 may play an oncogenic role in cellular processes of ESCC.展开更多
This study evaluates the improvement of the radar Quantitative Precipitation Estimation (QPE) by involving microphysical processes in the determination of </span><i><span style="font-family:Verdana...This study evaluates the improvement of the radar Quantitative Precipitation Estimation (QPE) by involving microphysical processes in the determination of </span><i><span style="font-family:Verdana;">Z</span></i><span style="font-family:Verdana;">-</span><i><span style="font-family:Verdana;">R</span></i><span style="font-family:Verdana;"> algorithms. Within the framework of the AMMA campaign, measurements of an X-band radar (Xport), a vertical pointing Micro Rain Radar (MRR) to investigate microphysical processes and a dense network of rain </span><span style="font-family:Verdana;">gauges deployed in Northern Benin (West Africa) in 2006 and 2007 were</span><span style="font-family:Verdana;"> used as support to establish such estimators and evaluate their performance compared to other estimators in the literature. By carefully considering and correcting MRR attenuation and calibration issues, the </span><i><span style="font-family:Verdana;">Z</span></i><span style="font-family:Verdana;">-</span><i><span style="font-family:Verdana;">R</span></i><span style="font-family:Verdana;"> estimator developed </span><span style="font-family:Verdana;">with the contribution of microphysical processes and non-linear least</span></span><span style="font-family:Verdana;">-</span><span style="font-family:""><span style="font-family:Verdana;">squares adjustment proves to be more efficient for quantitative rainfall estimation and produces the best statistic scores than other optimal </span><i><span style="font-family:Verdana;">Z</span></i><span style="font-family:Verdana;">-</span><i><span style="font-family:Verdana;">R</span></i><span style="font-family:Verdana;"> algorithms in the literature. We also find that it gives results comparable to some polarimetric algorithms including microphysical information through DSD integrated parameter retrievals.展开更多
基金Supported by grants from Innovative Team Project of Jiangsu Province,China,No.CXZZ11_0705
文摘AIM:To investigate the biological role of mi R-1290 in esophageal squamous cell carcinoma(ESCC) progression and invasion and the underlying mechanism.METHODS:Quantitative real-time polymerase chain reaction(q RT-PCR) was performed to evaluate mi R-1290 expression in ESCC tissue samples.The roles of mi R-1290 in cell proliferation,migration and invasion were identified using mi R-1290 mimic-transfected cells.In addition,the regulatory effect of mi R-1290 on suppressor of cancer cell invasion(SCAI) was evaluated using q RT-PCR,Western blot analysis and a dual luciferase reporter assay.RESULTS:mi R-1290 was significantly upregulated in ESCC tissue samples compared with normal adjacent tissues(9.213 ± 1.150 vs 1.000 ± 0.0),(P < 0.01).Upregulation of mi R-1290 was associated with tumor differentiation(P = 0.021),N classification(P = 0.006) and tumor-node-metastasis stage(P = 0.021) in ESCC patients.Moreover,ectopic mi R-1290 expression potently promoted ESCC cell growth(P < 0.01),migration(P < 0.01) and invasion(P < 0.01) in vitro.mi R-1290 overexpression in ESCC cell lines decreased SCAI expression at the translational level and reduced SCAI-driven luciferase-reporter activity(P < 0.01).CONCLUSION:Our findings suggested that mi R-1290 may play an oncogenic role in cellular processes of ESCC.
文摘This study evaluates the improvement of the radar Quantitative Precipitation Estimation (QPE) by involving microphysical processes in the determination of </span><i><span style="font-family:Verdana;">Z</span></i><span style="font-family:Verdana;">-</span><i><span style="font-family:Verdana;">R</span></i><span style="font-family:Verdana;"> algorithms. Within the framework of the AMMA campaign, measurements of an X-band radar (Xport), a vertical pointing Micro Rain Radar (MRR) to investigate microphysical processes and a dense network of rain </span><span style="font-family:Verdana;">gauges deployed in Northern Benin (West Africa) in 2006 and 2007 were</span><span style="font-family:Verdana;"> used as support to establish such estimators and evaluate their performance compared to other estimators in the literature. By carefully considering and correcting MRR attenuation and calibration issues, the </span><i><span style="font-family:Verdana;">Z</span></i><span style="font-family:Verdana;">-</span><i><span style="font-family:Verdana;">R</span></i><span style="font-family:Verdana;"> estimator developed </span><span style="font-family:Verdana;">with the contribution of microphysical processes and non-linear least</span></span><span style="font-family:Verdana;">-</span><span style="font-family:""><span style="font-family:Verdana;">squares adjustment proves to be more efficient for quantitative rainfall estimation and produces the best statistic scores than other optimal </span><i><span style="font-family:Verdana;">Z</span></i><span style="font-family:Verdana;">-</span><i><span style="font-family:Verdana;">R</span></i><span style="font-family:Verdana;"> algorithms in the literature. We also find that it gives results comparable to some polarimetric algorithms including microphysical information through DSD integrated parameter retrievals.
