OBJECTIVE 1） To study the efficacy of GSPs on the migration of highly metastatic mammary carcinoma cells and 2） To investigate inhibition mechanisms.METHODS Cell migration was assessed using a 24-well transwell assa...OBJECTIVE 1） To study the efficacy of GSPs on the migration of highly metastatic mammary carcinoma cells and 2） To investigate inhibition mechanisms.METHODS Cell migration was assessed using a 24-well transwell assay. Cells with different concentrations of GSPs were suspended （5×105 cell/mL） in RPMI 1640 media in the upper chamber, and RPMI 1640 media with 10% FBS was supplemented in the lower chamber. Then, cells were allowed to migrate for 24 h.RESULTS GSPs inhibited the migration of 4T1 cells in a dosedependent manner. The migration of 4T1 cells was obviously inhibited by GSPs, even at a very low concentration （5 μg/mL）,and was totally inhibited when the concentration was 20 μg/mL.Also, 20 μg/mL of GSPs inhibited cell viability by only 11.4% and induced early apoptosis by only 5.6% compared with a percentage of 4.0% in control cells. GSPs suppressed the activation of PDK1,Akt and Erk1/2 in a dose-dependent manner.CONCLUSION GSPs significantly inhibit the migration of highly metastatic mammary carcinoma 4T1 cells in vitro. This inhibition is independent of decreased cell viability or apoptosis induction. The inhibition of migration by GSPs is involved in blocking the PI3k/Akt and MAPK pathways.展开更多
T-overlap query is the basis of set similarity query and has been applied in many important fields.Most existing approaches employ a pruning-and-verification framework,thus in low efficiency.Modern GPU has much higher...T-overlap query is the basis of set similarity query and has been applied in many important fields.Most existing approaches employ a pruning-and-verification framework,thus in low efficiency.Modern GPU has much higher parallelism as well as memory bandwidth than CPU and can be used to accelerate T-overlap query.In this paper,we use hash segmentation to divide inverted lists into segments,then design an efficient inverted index called GHSII on GPU using hash segmentation.Based on GHSII,a new segmentation parallel T-overlap algorithm,GSPS,is proposed.GSPS uses segment at a time to scan segments and uses shared memory to decrease the number of accesses to device memory.Furthermore,an optimized algorithm called GSPS-TLLO using a heuristic query order is proposed to solve the problem of load imbalance.Experiments are carried out on two real datasets and the results show that GSPS-TLLO outperforms the state-of-the-art GPU parallel T-overlap algorithms.展开更多
文摘OBJECTIVE 1） To study the efficacy of GSPs on the migration of highly metastatic mammary carcinoma cells and 2） To investigate inhibition mechanisms.METHODS Cell migration was assessed using a 24-well transwell assay. Cells with different concentrations of GSPs were suspended （5×105 cell/mL） in RPMI 1640 media in the upper chamber, and RPMI 1640 media with 10% FBS was supplemented in the lower chamber. Then, cells were allowed to migrate for 24 h.RESULTS GSPs inhibited the migration of 4T1 cells in a dosedependent manner. The migration of 4T1 cells was obviously inhibited by GSPs, even at a very low concentration （5 μg/mL）,and was totally inhibited when the concentration was 20 μg/mL.Also, 20 μg/mL of GSPs inhibited cell viability by only 11.4% and induced early apoptosis by only 5.6% compared with a percentage of 4.0% in control cells. GSPs suppressed the activation of PDK1,Akt and Erk1/2 in a dose-dependent manner.CONCLUSION GSPs significantly inhibit the migration of highly metastatic mammary carcinoma 4T1 cells in vitro. This inhibition is independent of decreased cell viability or apoptosis induction. The inhibition of migration by GSPs is involved in blocking the PI3k/Akt and MAPK pathways.
文摘T-overlap query is the basis of set similarity query and has been applied in many important fields.Most existing approaches employ a pruning-and-verification framework,thus in low efficiency.Modern GPU has much higher parallelism as well as memory bandwidth than CPU and can be used to accelerate T-overlap query.In this paper,we use hash segmentation to divide inverted lists into segments,then design an efficient inverted index called GHSII on GPU using hash segmentation.Based on GHSII,a new segmentation parallel T-overlap algorithm,GSPS,is proposed.GSPS uses segment at a time to scan segments and uses shared memory to decrease the number of accesses to device memory.Furthermore,an optimized algorithm called GSPS-TLLO using a heuristic query order is proposed to solve the problem of load imbalance.Experiments are carried out on two real datasets and the results show that GSPS-TLLO outperforms the state-of-the-art GPU parallel T-overlap algorithms.
