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김준혁,Suk-Whan Hong,Ngoc Trinh Nguyen,Vu Van Kien,Nguyen Hoai Nguyen,Young-Seok Jang,이호정,홍석환 한국응용생명화학회 2013 Applied Biological Chemistry (Appl Biol Chem) Vol.56 No.5
Defective endosperm (De*)-B30 is a dominant maize mutation in the gene that encodes the storage protein, α-zein protein. The De*-B30 mutation results in a defective signal peptide in a 19-kD α-zein protein, which triggers endoplasmic reticulum (ER) stress, leading to up-regulation of genes associated with the unfolded protein response. To extend our knowledge of the physiological responses to constitutive ER stress in plants,transgenic Arabidopsis plants were constructed, in which De*-B30 transcripts were constitutively expressed under the control of the CaMV 35S promoter. Transgenic plants exhibited pale green leaves and growth retardation during the early vegetative stage. In addition, the growth rate of hypocotyl elongation was depressed in dark-grown transgenic seedlings. However, RNA blot analyses revealed no induction of the ER stress-inducible genes, including AtBiP1, AtCNX1, and AtCRT1 in transgenic Arabidopsis plants. Even though transgenic plants also were revealed to retain wildtype level of tunicamycin sensitivity, they showed an increase in hydrogen peroxide production. Higher levels of AtGST1 gene expression in transgenic plants were revealed. These findings suggest that reactive oxygen species are involved in the response to constitutive ER stress in Arabidopsis.
기계식 시한 신관 KM577A1용 기폭관 저장수명 예측
장일호 ( Il Ho Chang ),박병찬 ( Byung Chan Park ),황택성 ( Taek Sung Hwang ),홍석환 ( Suk Whan Hong ),백승준 ( Seung Jun Back ),손영갑 ( Young Kap Son ) 한국품질경영학회 2010 품질경영학회지 Vol.38 No.4
A fuze detonator comprising star shells is an important device so that its failure usually leads to failure of the shells. In this paper, accelerated degradation tests of RD1333 (lead azide) using temperature stress were performed, and then degradation data of explosive power for the detonator were analyzed to predict the storage lifetime of detonator. Degradation data analysis to estimate the storage lifetime is based on a distribution-based degradation process. Statistical distribution parameters of explosive power degradation measures at each time were estimated for each temperature level, and then reliability of the detonator for each accelerated temperature level was estimated using both time-varying distribution parameters and critical level of explosive power. Arrhenius model was applied to estimate storage lifetime of the detonator under the field temperature condition. Accelerated distribution-based degradation analysis to estimate storage lifetime is explained in detail, and estimation results are compared to field data of storage lifetime in this paper.