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Regulation of dendritic arborization by BCR Rac1 GTPase-activating protein, a substrate of PTPRT.
Park, A-Reum,Oh, Daeyoung,Lim, So-Hee,Choi, Jeonghoon,Moon, Jeonghee,Yu, Dae-Yeol,Park, Sung Goo,Heisterkamp, Nora,Kim, Eunjoon,Myung, Pyung-Keun,Lee, Jae-Ran Cambridge University Press 2012 Journal of cell science Vol.125 No.19
<P>Dendritic arborization is important for neuronal development as well as the formation of neural circuits. Rac1 is a member of the Rho GTPase family that serve as regulators of neuronal development. Breakpoint cluster region protein (BCR) is a Rac1 GTPase-activating protein that is abundantly expressed in the central nervous system. Here, we show that BCR plays a key role in neuronal development. Dendritic arborization and actin polymerization were attenuated by overexpression of BCR in hippocampal neurons. Knockdown of BCR using specific shRNAs increased the dendritic arborization as well as actin polymerization. The number of dendrites in null mutant BCR(-/-) mice was considerably increased compared with that in wild-type mice. We found that the function of the BCR GTPase-activating domain could be modulated by protein tyrosine phosphatase receptor T (PTPRT), which is expressed principally in the brain. We demonstrate that tyrosine 177 of BCR was the main target of PTPRT and the BCR mutant mimicking dephosphorylation of tyrosine 177 alleviated the attenuation of dendritic arborization. Additionally the attenuated dendritic arborization found upon BCR overexpression was relieved upon co-expression of PTPRT. When PTPRT was knocked down by a specific shRNA, the dendritic arborization was significantly reduced. The activity of the BCR GTPase-activating domain was modulated by means of conversions between the intra- and inter-molecular interactions, which are finely regulated through the dephosphorylation of a specific tyrosine residue by PTPRT. We thus show conclusively that BCR is a novel substrate of PTPRT and that BCR is involved in the regulation of neuronal development via control of the BCR GTPase-activating domain function by PTPRT.</P>
Park, Jiwoong,Moon, Daeyoung,Chung, Sungyun,Yoon, Euijoon,Park, Jinsub American Scientific Publishers 2012 Journal of Nanoscience and Nanotechnology Vol.12 No.5
<P>Vertically aligned ZnO nano/submicrorods are grown on periodically polarity-inverted (PPI) ZnO templates by a solution-based growth method without any catalyst. For the selective growth of ZnO submicrorods, PPI ZnO structures are used for templates made by using a polarity control technique of ZnO with CrN and Cr2O3 intermediate layers. After syntheses of ZnO nanostructures on PPI ZnO, the vertically aligned ZnO rods were grown only onto the Zn-polar regions.</P>
Effects of r-plane Sapphire Substrate Tilt Angles on the Growth Behavior of Nonpolar a-plane GaN
Park, Sung Hyun,Park, Jinsub,Moon, Daeyoung,Kim, Namhyuk,You, Duck-Jae,Kim, Junghwan,Kang, Jinki,Lee, Sang-Moon,Kim, Ju-Sung,Yang, Moon-Seung,Kim, Taek,Yoon, Euijoon Korean Physical Society 2011 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.58 No.4
QoS Support by Using CDF-Based Wireless Packet Scheduling in Fading Channels
Park, Daeyoung,Lee, Byeong Gi IEEE 2006 IEEE TRANSACTIONS ON COMMUNICATIONS Vol.54 No.11
<P>In this paper, we provide an efficient quality-of-service (QoS)-guarantee scheme using the cumulative-distribution-function-based scheduling (CS) algorithm in wireless fading channels. We first extend the CS algorithm such that it can encompass the practical environment with discrete user transmission rates. The extended CS algorithm can allocate the time fractions to users in arbitrary manner, and render an exact estimation of user average throughputs, through which it can provide differentiated QoS to each user. We also introduce the effective-capacity concept to describe the delay-constrained capacity of the CS algorithm, both in time-independent and time-correlated channels. In contrast to other existing scheduling algorithms, the CS algorithm enables calculating the effective capacity analytically, rather than estimating it by measurement on the queueing behavior. Using the effective capacity, we can check the feasibility of the user-specified QoS effectively in wireless time-varying channels</P>