Asian Science Citation Index is committed to provide an authoritative, trusted and significant information by the coverage of the most important and influential journals to meet the needs of the global scientific community.  
ASCI Database
308-Lasani Town,
Sargodha Road,
Faisalabad, Pakistan
Fax: +92-41-8815544
Contact Via Web
Suggest a Journal
 
Articles by W. Wei
Total Records ( 2 ) for W. Wei
  J Gu , D Sun , Q Zheng , X Wang , H Yang , J Miao , J Jiang and W. Wei
 

Elongator complex has been associated with hyperphosphorylated RNA polymerase II and is known to play critical roles in transcriptional elongation, as well as in tRNA modification and exocytosis. However, the specific mechanism of how human Elongator complex regulates cell growth and cell cycle remains unclear. To investigate the composition of human Elongator complex and its effects on cell growth, 293T cells were established that stably overexpressed Flag-Elp3 and Flag-Elp4. By using anti-Flag M2 antibody-bound resin, a core Elongator complex was purified from cells that stably overexpressed Flag-Elp3. No Elongator complex was purified from cells stably transfected with pFlagCMV4-Elp4. Interestingly, the cell growth was inhibited in 293T cells transfected with pFlagCMV4-Elp3. Flow cytometry analysis showed that most of the cells stably overexpressing Flag-Elp3 were found in G1 stage, indicating a role of the core Elongator in the G1 checkpoint for the regulation of cell cycle. We observed increased basal transcription and remarkably enhanced transcription stimulated by VP16 in 293T cells overexpressing Flag-Elp3. The transcription could also be synergistically activated by overexpressing both Elp3 and Elp4. Taken together, our results suggested that the core Elongator complex formed by Elp1, Elp2, and Elp3 was rather stable, whereas Elp4, Elp5, and Elp6 might loosely contact and work together with the core Elongator to regulate cell functions.

  B.M. Qiao , B. Zhou , X.L. Yang , W. Wei and R. Liu
  The study proposed a new weighted least-square method and it is introduced to the localization process of sensor networks. DV-HOP algorithm can be improved based on this novel method. In this paper, the matrix condition number is introduced to adjust the weight of several functional in weighted least-square method. The coefficients are decided in a nonlinear optimization problem and it is difficult to get the best solution. A second best solution can be obtained easily by our method. The method is applied to solve two-dimensional Poisson problems and the results show it is valuable and is advantageous to similar problems. Efficiency and stability of the algorithm is proved in several numerical examples. The simulation results show that the proposed improvements can greatly enhance the localization accuracy of the nodes.
 
 
 
Copyright   |   Desclaimer   |    Privacy Policy   |   Browsers   |   Accessibility