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- 저자 : ( Chunxia Su ) (검색결과 2 건)
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Transcriptomics and proteomics analysis of Aβ (1-42)-induced neurotoxicity
Zhonghao Su,Zhuo Dong,Chunxia Guo,Ying Xu,Shuijin Shao,Zhenxia Qin 대한독성 유전단백체 학회 2019 Molecular & cellular toxicology Vol.15 No.3
Backgrounds: β-Amyloid (Aβ) is a principal constituent of senile plaques in Alzheimer’s disease (AD) and induces neuronal cell death. The molecular mechanism of how Aβ evokes neuronal cell death remains complicated, which were investigated in the present study. Methods: Using the human neuroblastoma cell line SHSY5Y, we investigated the neurotoxic effects of human β-Amyloid 1-42 (Aβ1-42) aggregates on gene expression profile and protein expression profile by using the Agilent GeneChip Human 1A (V2) Oligo MicroArray, Quantitative Real-time PCR, PF-2D and Western blot analysis. Results: Our results show that Aβ1-42 specifically influences gene and protein expression such as EGR1, eIF5A, PDE8A, ERp57 and ERp5 in pathways associated with apoptotic process, protein translation, cAMP catabolic process and response to endoplasmic reticulum stress. Conclusion: Although Genes with significant changes in transcriptomic analysis matched very few of the proteins identified in proteomics analysis, our findings will strengthen our knowledge concerning the molecular mechanisms underlying AD.
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Cross-layer Dynamic Subcarrier Allocation with Adaptive Service Rate Control in SC-FDMA System
( Fang Ye ),( Chunxia Su ),( Yibing Li ),( Xu Zhang ) 한국인터넷정보학회 2017 KSII Transactions on Internet and Information Syst Vol.11 No.10
In this paper, an improved utility-based cross-layer dynamic subcarrier allocation (DSA) algorithm is proposed for single carrier frequency division multiple access (SC-FDMA) system, which adopts adaptive service rate control (ASRC) to eliminate the service rate waste and improve the spectral efficiency in heterogeneous network including non-real-time traffic and real-time traffic. In this algorithm, furthermore, a first in first out (FIFO) queuing model with finite space is established on the cross-layer scheduling framework. Simulation results indicate that by taking the service rate constraint as the necessary condition for optimality, the ASRC algorithm can effectively eliminate the service rate waste without compromising the scheduling performance. Moreover, the ASRC algorithm is able to further improve the quality of service (QoS) performance and transmission throughput by contributing an attractive performance trade-off between real-time and non-real-time applications.
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