2009 International Symposium on Micro-NanoMechatronics and Human Science最新文献_第5页

Analysis of promoter binding proteins of Ebp1 that is inhibitor protein of influenza virus RNA polymerase 流感病毒RNA聚合酶抑制蛋白Ebp1启动子结合蛋白分析

2009 International Symposium on Micro-NanoMechatronics and Human Science Pub Date : 2009-12-11 DOI: 10.1109/MHS.2009.5351934

M. Mukai, A. Honda

{"title":"Analysis of promoter binding proteins of Ebp1 that is inhibitor protein of influenza virus RNA polymerase","authors":"M. Mukai, A. Honda","doi":"10.1109/MHS.2009.5351934","DOIUrl":"https://doi.org/10.1109/MHS.2009.5351934","url":null,"abstract":"Ebp1 is a member of the PA2G4 family protein and initially isolated as an ErB3 (an epidermal receptor tyrosine kinase) binding protein. Ebp1 inhibits cell growth and repress transcription of E2F-regulated cell cycle genes. Previously, we reported that Ebp1 protein interacted with RNA polymerase subunit PB1 of the influenza virus and disturbed in vitro RNA synthesis by influenza RNA polymerase. Recently we found that after influenza virus infection to the cell, Ebp1 expression is induced at 4 hours after viral infection. By using reverse genetics method, Ebp1 inhibits influenza virus replication. Ebp1 expression mechanism is very interesting because the expression of Ebp1 is earlier than that of virus proteins. In addition, in uninfection cell, Ebp1 is expressed from G1 to S phase in cell cycle-dependent manner. Therefore we study to identify the transcription factor of Ebp1 and understand the Ebp1 expression mechanism by influenza viral infection. Ebp1 promoter region was cloned into pTurboGFP. A pTurboGFP-Ebp1 promoter plasmid was mixed with nucleus extract form infection / uninfection cell. The binding proteins were eluted and analyzed by liquid chromatography-tandem mass spectrometry (LC-MS/MS). We identified several candidate proteins.","PeriodicalId":344667,"journal":{"name":"2009 International Symposium on Micro-NanoMechatronics and Human Science","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114808513","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Development of cell-sheet handling tool for measurement of cell sheet adhesion force 用于测量电池片粘附力的电池片处理工具的研制

2009 International Symposium on Micro-NanoMechatronics and Human Science Pub Date : 2009-12-11 DOI: 10.1109/MHS.2009.5351734

Kaoru Uesugi, Y. Akiyama, M. Yamato, T. Okano, T. Hoshino, K. Morishima

引用次数: 3

Fabrication of functional gel-nanotool for intracellular measurement 细胞内测量功能凝胶-纳米工具的制备

2009 International Symposium on Micro-NanoMechatronics and Human Science Pub Date : 2009-12-11 DOI: 10.1109/MHS.2009.5351873

H. Maruyama, F. Arai

引用次数: 0

Micro-manipulator using laminate hinge mechanism 微机械臂采用层合铰链机构

2009 International Symposium on Micro-NanoMechatronics and Human Science Pub Date : 2009-12-11 DOI: 10.1109/MHS.2009.5351964

A. Ichikawa, T. Tanikawa, K. Ohba

引用次数: 0

The reconstitution of the membrane cytoskeleton using a lipid layer 利用脂质层重建细胞膜细胞骨架

2009 International Symposium on Micro-NanoMechatronics and Human Science Pub Date : 2009-12-11 DOI: 10.1109/MHS.2009.5351738

S. Minakata, J. Usukura

引用次数: 0

Localizing multiple odor sources in dynamic environment using ranged subgroup PSO with flow of wind based on open dynamic engine library 基于开放动态引擎库的带风向的范围子群粒子群优化算法在动态环境中对多气味源进行定位

2009 International Symposium on Micro-NanoMechatronics and Human Science Pub Date : 2009-12-11 DOI: 10.1109/MHS.2009.5351761

W. Jatmiko, W. Pambuko, P. Mursanto, A. Muis, B. Kusumoputro, K. Sekiyama, T. Fukuda

引用次数: 16

Anaerobiosis-induced novel nucleoid protein of Escherichia coli: Architectural role in genome DNA compaction 厌氧诱导的新型类核蛋白大肠杆菌:基因组DNA压缩中的结构作用

2009 International Symposium on Micro-NanoMechatronics and Human Science Pub Date : 2009-12-11 DOI: 10.1109/MHS.2009.5351819

J. Teramoto, Kayoko Yamada, N. Kobayashi, A. Kori, S. Yoshimura, K. Takeyasu, A. Ishihama

{"title":"Anaerobiosis-induced novel nucleoid protein of Escherichia coli: Architectural role in genome DNA compaction","authors":"J. Teramoto, Kayoko Yamada, N. Kobayashi, A. Kori, S. Yoshimura, K. Takeyasu, A. Ishihama","doi":"10.1109/MHS.2009.5351819","DOIUrl":"https://doi.org/10.1109/MHS.2009.5351819","url":null,"abstract":"A systematic search has been performed for DNA-binding sequences recognized by YgiP, an uncharacterized transcription factor of Escherichia coli, using the newly developed Genomic SELEX. By SELEX-clos procedure, a total of 333 sequences have been isolated from a total of 126 loci of the E. coli genome while more than 703 YgiP-binding loci have been identified after the genome-wide profiling by SELEX-chip procedure. Gel mobility shift assay indicated the presence of multiple YgiP-binding sites along each SELEX DNA fragment while DNase-I foot-printing assay indicated protection of short-specific sequences by YgiP, together suggesting YgiP as a nucleoid protein with broad specificity of DNA binding. Atomic force microscope (AFM) observation indicated that at low concentrations, YgiP binds to various sites in non-specific manner, but at high concentrations, YgiP covers the entire DNA surface. The intracellular level of YgiP was found to be very low in steady-state of cell growth under aerobic conditions, but increased more than 100-fold to the level as high as those of HU and IHF under hypoxic or anaerobic culture conditions. An E. coli mutant lacking ygiP showed abnormal growth under anaerobic conditions. Taken together we conclude that YgiP is a novel nucleoid protein of E. coli under the anaerobic conditions, and thus propose to rename YgiP to Dan (DNA-binding protein under anaerobic conditions).","PeriodicalId":344667,"journal":{"name":"2009 International Symposium on Micro-NanoMechatronics and Human Science","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116488104","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Micro valve system for individual cell transportation in microfluidic chip 微流控芯片中单个细胞运输的微阀系统

2009 International Symposium on Micro-NanoMechatronics and Human Science Pub Date : 2009-12-11 DOI: 10.1109/MHS.2009.5352073

Akiyuki Hasegawa, H. Uvet, K. Ohara, T. Takubo, Y. Mae, T. Arai

引用次数: 1

Model simulation of FES for the treatment of shoulder subluxation FES治疗肩关节半脱位的模型模拟

2009 International Symposium on Micro-NanoMechatronics and Human Science Pub Date : 2009-12-11 DOI: 10.1109/MHS.2009.5352069

T. Iwami, T. Aizawa, K. Miyawaki, T. Matsunaga, Y. Shimada, G. Obinata

引用次数: 1

Visualization and statistical analysis of fuzzy-neuro learning vector quantization based on particle swarm optimization for recognizing mixture odors 基于粒子群优化的模糊神经学习矢量量化混合气味识别的可视化与统计分析

2009 International Symposium on Micro-NanoMechatronics and Human Science Pub Date : 2009-12-11 DOI: 10.1109/MHS.2009.5352022

W. Jatmiko, Rochmatullah, B. Kusumoputro, H. Sanabila, K. Sekiyama, Toshio Fukuda

{"title":"Visualization and statistical analysis of fuzzy-neuro learning vector quantization based on particle swarm optimization for recognizing mixture odors","authors":"W. Jatmiko, Rochmatullah, B. Kusumoputro, H. Sanabila, K. Sekiyama, Toshio Fukuda","doi":"10.1109/MHS.2009.5352022","DOIUrl":"https://doi.org/10.1109/MHS.2009.5352022","url":null,"abstract":"An electronic nose system had been developed by using 16 quartz resonator sensitive membranes-basic resonance frequencies 20 MHz as a sensor, and analyzed the measurement data through various neural network as a pattern recognition system. The developed system showed high recognition probability to discriminate various single odors even mixture odor to its high generality properties; however the system still need improvement. In order to improve the performance of the proposed system, development of the sensor and other neural network are being sought. This paper explains the improvement of the capability of that system from the point of neural network system. It has been proved from our previous work that FLVQ (Fuzzy Learning Vector Quantization) which is LVQ (Learning Vector Quantization) together with fuzzy theory shows high recognition capability compared with other neural networks, however FLVQ have a weakness for selecting the best codebook vector that will influence the result of recognition. This problem will be anticipated by adding the PSO (Particle Swarm Optimization) method to select the best codebook vector. Then experiment show that the new recognition system (FLVQ-PSO) has produced higher capability compared to the earlier mentioned system.","PeriodicalId":344667,"journal":{"name":"2009 International Symposium on Micro-NanoMechatronics and Human Science","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133481635","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7