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단백체를 이용한 애기장대 Cytokinin 유도 단백질의 분석
양영실,차준영,네티 엘마와티,정민희,배동원,이창원,손대영 Plant molecular biology and biotechnology research 2005 Plant molecular biology and biotechnology research Vol.2005 No.
Cytokinins are essential plant hormones that play crucial roles in various aspects of plant growth and development. To better understand the molecular mechanisms of cytokinin action, we identified cytokinin related proteins by a proteomic approach. Proteins extracted from control and trans-zeatin treated Arabidopsis seedlings were separated and analyzed by two dimensional gel analysis. Differentially expressed protein spots were identified with peptide mass fingerprinting based on matrix assisted laser desorption/ionization time-of-flight (MALDI-TOF) mass spectrometry and database searching. We obtained ten up-regulated and one down-regulated proteins upon t-zeatin treatment. The expression of the following proteins was induced; pollen allergen like protein, L-ascorbate peroxidase, tetrapyrrole methylase family protein, SGT1 protein homolog, disease resistance related protein, maternal embryogenesis control protein, paxneb related protein, gluthathione S-transferase and IAA amino acid hydrolase homolog.
퉁퉁마디로부터 색소체 외막 단백질 유전자의 분리 및 발현분석
네티 엘마와티,차준영,양영실,정민희,신동진,이병현,이곤호,손대영 Plant molecular biology and biotechnology research 2004 Plant molecular biology and biotechnology research Vol.2004 No.-
Complementary DNA encoding chloroplast outer envelope membrane protein (OEP) from the halophyte Salicornia herbacea has been cloned and sequenced. The full length cDNA is 596 bp and encodes a polypeptide of 91 amino acid residues with a molecular mass of 8.9 kDa. The expression level of ShOEP increased by salt, drought and ABA treatments. ShOEP expression was largely induced in roots and shoots by high salts. The biological function of ShOEP was examined by yeast complementation. ShOEP can suppress Na+ sensitivity of yeast mutant (cnbΔ) in the presence of salt. These results suggest that ShOEP is a salt inducible gene and may have functions in the regulation of plant salt stress.
Shi-dong Ji,Xiao Luo,Sang-Nag Ahn 충남대학교 농업과학연구소 2014 농업과학연구 Vol.41 No.1
Ratooning ability is one of the major different traits from perennial to cultivated rice and annual type. We developed a set of 126 introgression lines derived from a cross between Hwayeong and W1944 (O. rufipogon) to gain an insight into the genetic factors underlying differences between common wild rice and cultivated rice. One IL, CR6 among the 126 ILs of BC₃F₄ showed a significant difference in rationing ability compared with Hwayeong. To further characterize the rationing ability, CR6 was selected and crossed to Hwayeong to produce three secondary populations, BC₄F₂, BC₄F3 and BC?F₂. In the Hwayeong background, the W1944 allele was associated with an increase in rationing ability. QTL analysis showed that the qRAT5 for rationing ability was linked to RM194 (R²=6.6%, 19.6%, and 44.5% in the BC₄F₂, BC?F₂, and BC?F3, respectively). The putative qRAT5 was also tightly linked to QTLs for spikelets per panicle and grain weight indicating that this region harbors a QTL cluster related to domestication. To our knowledge, this is the first report to map the major QTL for ratooning ability in rice. The SSR markers linked to qRAT5 would be useful in marker-assisted selection for breeding lines with enhanced ratooning ability.
Microblog Sentiment Analysis Method Based on Spectral Clustering
Dong, Shi,Zhang, Xingang,Li, Ya Korea Information Processing Society 2018 Journal of information processing systems Vol.14 No.3
This study evaluates the viewpoints of user focus incidents using microblog sentiment analysis, which has been actively researched in academia. Most existing works have adopted traditional supervised machine learning methods to analyze emotions in microblogs; however, these approaches may not be suitable in Chinese due to linguistic differences. This paper proposes a new microblog sentiment analysis method that mines associated microblog emotions based on a popular microblog through user-building combined with spectral clustering to analyze microblog content. Experimental results for a public microblog benchmark corpus show that the proposed method can improve identification accuracy and save manually labeled time compared to existing methods.
Measure Correlation Analysis of Network Flow Based On Symmetric Uncertainty
( Shi Dong ),( Wei Ding ),( Liang Chen ) 한국인터넷정보학회 2012 KSII Transactions on Internet and Information Syst Vol.6 No.6
In order to improve the accuracy and universality of the flow metric correlation analysis, this paper firstly analyzes the characteristics of Internet flow metrics as random variables, points out the disadvantages of Pearson Correlation Coefficient which is used to measure the correlation between two flow metrics by current researches. Then a method based on Symmetrical Uncertainty is proposed to measure the correlation between two flow metrics, and is extended to measure the correlation among multi-variables. Meanwhile, the simulation and polynomial fitting method are used to reveal the threshold value between different correlation degrees for SU method. The statistical analysis results on the common flow metrics using several traces show that Symmetrical Uncertainty can not only represent the correct aspects of Pearson Correlation Coefficient, but also make up for its shortcomings, thus achieve the purpose of measuring flow metric correlation quantitatively and accurately. On the other hand, reveal the actual relationship among fourteen common flow metrics.
Microblog Sentiment Analysis Method Based on Spectral Clustering
Shi Dong,Xingang Zhang,Ya Li 한국정보처리학회 2018 Journal of information processing systems Vol.14 No.3
This study evaluates the viewpoints of user focus incidents using microblog sentiment analysis, which hasbeen actively researched in academia. Most existing works have adopted traditional supervised machinelearning methods to analyze emotions in microblogs; however, these approaches may not be suitable inChinese due to linguistic differences. This paper proposes a new microblog sentiment analysis method thatmines associated microblog emotions based on a popular microblog through user-building combined withspectral clustering to analyze microblog content. Experimental results for a public microblog benchmarkcorpus show that the proposed method can improve identification accuracy and save manually labeled timecompared to existing methods.