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RISS 인기검색어
- 검색키워드
- 저자 : Eric R. Johnson (검색결과 5 건)
- 무료
- 기관 내 무료
- 유료
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AUA as a Translation Initiation Site In Vitro for the Human Transcription Factor Sp3
(Eric Moore Hernandez),(Anna Johnson),(Vicente Notario),(Andrew Chen),(John R. Richert) 생화학분자생물학회 2002 BMB Reports Vol.35 No.3
Sp3 is a bifunctional transcription factor that has been reported to stimulate or repress the transcription of numerous genes. Although the size of Sp3 mRNA is 4.0 kb, the size of the known Sp3 cDNA sequence is 3.6 kb. Thus, Sp3 functional studies have been performed with an artificially introduced start codon, and thus an aminoterminus that differs from the wild-type. Ideally, fulllength cDNA expression vectors with the appropriate start codon should be utilized for these studies. Using 5’rapid amplification of cDNA ends, a full-length Sp3 cDNA clone was generated and the sequence verified in nine cell lines. No AUG initiation codon was present. However, stop codons were present in all three frames 5’ to the known coding sequence. In vitro translation of this full-length cDNA clone produced the expected three isoforms-one at 100 kDa and two in the mid 60 kDa range. Electrophoretic mobility shift assays showed that the protein products had the ability to bind to the Sp1/3 consensus sequence. In vitro studies, using our Sp3 clone and site directed mutagenesis, identified the translation initiation site for the larger isoform as AUA. AUA has not been previously described as an endogenous initiation codon in eukaryotes.
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AUA as a Translation Initiation Site In Vitro for the Human Transcription Factor Sp3
Hernandez, Eric Moore,Johnson, Anna,Notario, Vicente,Chen, Andrew,Richert, John R. 생화학분자생물학회 2002 Journal of biochemistry and molecular biology Vol.35 No.3
Sp3 is a bifunctional transcription factor that has been reported to stimulate or repress the transcription of numerous genes. Although the size of Sp3 mRNA is 4.0kb, the size of the known Sp3 cDNA sequence is 3.6kb. Thus, Sp3 functional studies have been performed with an artificially introduced start codon, and thus an amino-terminus that differs from the wild-type. Ideally, full-length cDNA expression vectors with the appropriate start codon should be utilized for these studies. Using 5'rapid amplification of cDNA ends, a full-length Sp3 cDNA clone was generated and the sequence verified in nine cell lines. No AUG initiation codon was present. However, stop codons were present in all three frames 5' to the known coding sequence. In vitro translation of this full-length cDNA clone produced the expected three isoforms-one at 100 kDa and two in the mid 60 kDa range. Electrophoretic mobility shift assays showed that the protein products had the ability to bind to the Sp1/3 consensus sequence. In vitro studies, using our Sp3 clone and site directed mutagenesis, identified the translation initiation site for the larger isoform as AUA. AUA has not been previously described as an endogenous initiation codon in eukaryotes.
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Dynamic Analysis and Structural Optimization of a Fiber Optic Sensor Using Neural Networks
Yong-Yook Kim,Rakesh K. Kapania,Eric R. Johnson,Matthew E. Palmer,Tae-Kyu Kwon,Chul-Un Hong,Nam-Gyun Kim 대한기계학회 2006 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.20 No.2
The objective of this work is to apply artificial neural networks for solving inverse problems in the structural optimization of a fiber optic pressure sensor. For the sensor under investigation to achieve a desired accuracy, the change in the distance between the tips of the two fibers due to the applied pressure should not interfere with the phase change due to the change in the density of the air between fibers. Therefore, accurate dynamic analysis and structural optimization of the sensor is essential to ensure the accuracy of the measurements provided by the sensor. To this end, a normal mode analysis and a transient response analysis of the sensor were performed by combining commercial finite element analysis package, MSC/NASTRAN, and MATLAB. Furthermore, a parametric study on the design of the sensor was performed to minimize the size of the sensor while fulfilling a number of constraints. In performing the parametric study, the need for a relationship between the design parameters and the response of the sensor was fulfilled by using a neural network. The whole process of the dynamic analysis using commercial finite element analysis package and the parameter optimization of the sensor were automated within the MATLAB environment.
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Dynamic Analysis and Structural Optimization of a Fiber Optic Sensor Using Neural Networks
Kim Yong-Yook,Kapania Rakesh K.,Johnson Eric R.,Palmer Matthew E.,Kwon Tae-Kyu,Hong Chul-Un,Kim Nam-Gyun The Korean Society of Mechanical Engineers 2006 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.20 No.2
The objective of this work is to apply artificial neural networks for solving inverse problems in the structural optimization of a fiber optic pressure sensor. For the sensor under investigation to achieve a desired accuracy, the change in the distance between the tips of the two fibers due to the applied pressure should not interfere with the phase change due to the change in the density of the air between the two fibers. Therefore, accurate dynamic analysis and structural optimization of the sensor is essential to ensure the accuracy of the measurements provided by the sensor. To this end, a normal mode analysis and a transient response analysis of the sensor were performed by combining commercial finite element analysis package, MSC/NASTRAN, and MATLAB. Furthermore, a parametric study on the design of the sensor was performed to minimize the size of the sensor while fulfilling a number of constraints. In performing the parametric study, the need for a relationship between the design parameters and the response of the sensor was fulfilled by using a neural network. The whole process of the dynamic analysis using commercial finite element analysis package and the parameter optimization of the sensor were automated within the MATLAB environment.
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Correlating Atomic Structure and Transport in Suspended Graphene Nanoribbons
Qi, Zhengqing John,Rodrí,guez-Manzo, Julio A.,Botello-Mé,ndez, André,s R.,Hong, Sung Ju,Stach, Eric A.,Park, Yung Woo,Charlier, Jean-Christophe,Drndić,, Marija,Johnson, A. T. Ch American Chemical Society 2014 NANO LETTERS Vol.14 No.8
<P/><P>Graphene nanoribbons (GNRs) are promising candidates for next generation integrated circuit (IC) components; this fact motivates exploration of the relationship between crystallographic structure and transport of graphene patterned at IC-relevant length scales (<10 nm). We report on the controlled fabrication of pristine, freestanding GNRs with widths as small as 0.7 nm, paired with simultaneous lattice-resolution imaging and electrical transport characterization, all conducted within an aberration-corrected transmission electron microscope. Few-layer GNRs very frequently formed bonded-bilayers and were remarkably robust, sustaining currents in excess of 1.5 μA per carbon bond across a 5 atom-wide ribbon. We found that the intrinsic conductance of a sub-10 nm bonded bilayer GNR scaled with width as <I>G</I><SUB>BL</SUB>(<I>w</I>) ≈ 3/4(<I>e</I><SUP>2</SUP><I>/h</I>)<I>w</I>, where <I>w</I> is the width in nanometers, while a monolayer GNR was roughly five times less conductive. Nanosculpted, crystalline monolayer GNRs exhibited armchair-terminated edges after current annealing, presenting a pathway for the controlled fabrication of semiconducting GNRs with known edge geometry. Finally, we report on simulations of quantum transport in GNRs that are in qualitative agreement with the observations.</P>
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