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Reduction of allergenicity of irradiated ovalbumin in ovalbumin-allergic mice
Seo, Ji-Hyun,Lee, Ju-Woon,Kim, Jae-Hun,Byun, Eui-Baek,Lee, Soo-Young,Kang, Il-Jun,Byun, Myung-Woo Elsevier 2007 Radiation physics and chemistry Vol.76 No.11
<P><B>Abstract</B></P><P>Egg allergy is one of the most serious of the immediate hypersensitivity reactions to foods. Such an allergic disorder is mediated by IgE antibodies stimulated by T-helper type 2 (Th2) lymphocytes. This study was undertaken to evaluate changes of allergenicity and cytokine profiles by exposure of irradiated ovalbumin (OVA), a major allergen of egg white, in the OVA-allergic mice model. OVA solutions (2mg/ml in 0.01M phosphate buffered saline (PBS) were gamma-irradiated to 50 and 100kGy. The allergenicity in the OVA-allergy-induced mice model was remarkably reduced when challenged with irradiated OVA. Cultures of spleen cells harvested from OVA-sensitized mice showed a significant decrease in Th2 cytokine levels of ILs-4 and -5 with a concomitant increase in Th1 cytokine levels of IL-12 when co-cultured with irradiated OVA. However, IFN-<I>γ</I> level decreased dependant on the radiation dose of co-cultured OVA. The levels of IgEs and Th2-cytokine were reduced dependant on the radiation dose. These data show that the irradiated OVA could downregulate the activity of Th2 lymphocytes in OVA-sensitized mice.</P>
Cultivable Microbial Diversity in Domestic Bentonites and Their Hydrolytic Enzyme Production
Seo, Dong-Ho,Cho, Eui-Sang,Hwang, Chi Young,Yoon, Deok Jun,Chun, Jeonghye,Jang, Yujin,Nam, Young-Do,Park, So-Lim,Lim, Seong-Il,Kim, Jae-Hwan,Seo, Myung-Ji The Korean Society for Microbiology and Biotechnol 2019 한국미생물·생명공학회지 Vol.47 No.1
We have isolated and identified 72 bacterial strains from four bentonite samples collected at the mining areas located in Gyeongsangbuk-do, Republic of Korea, and measured their hydrolytic enzyme (${\alpha}$-amylase, protease, and cellulase) activities to identify the isolates with industrial-use potential. Most of the isolates belonged to the Bacillaceae, with minor portions being from the Paenibacillaceae, Micrococcaceae, and Bacillales Family XII at the family level. Of the strains isolated, 33 had extracellular ${\alpha}$-amylase activity, 30 strains produced cellulase, and 35 strains produced protease. Strain MBLB1268, having the highest ${\alpha}$-amylase activity, was identified as Bacillus siamensis ($0.38{\pm}0.06U/ml$). Bacillus tequilensis MBLB1223, isolated from Byi33-b, showed the highest cellulase activity ($0.26{\pm} 0.04U/ml$), whereas Bacillus wiedmannii MBLB1197, isolated from Zdb130-b, exhibited the highest protease activity ($54.99{\pm}0.78U/ml$). These findings show that diverse bacteria of the Bacillaceae family adhere to and exist in bentonite and are potential sources of industrially useful hydrolytic enzymes.
김명진,김상훈,이재운,서창완,한의정,홍준석 한국환경영향평가학회 1997 환경영향평가 Vol.6 No.1
Vegetation Index (VI) derived from remote sensing data is used to assess ecosystem factor in Environmental Impact Assessment (EIA) process. Ecosystem factor has been prepared by Degree of Green Naturality (DGN) mainly in Environmental Impact Statements. But DGN has room for improvement of assessing actual ecosystem situation. The objectives of this study are to define the relationship between field measure DGN and VI, and to develop methodologies to use VI for assessing the status and conditions of natural ecosystem. For verification of DGN and VI, 35 sites using global positioning system are selected and reviewed. Correlation coefficients of DGN and VI shows highly as 0.69. Also VI in EIA found it can be applied to assess ecosystem. It concluded that VI as well as DGN can be applied to assess ecosystem newly and largescale.
김명진,서창완,한의정,홍준석 한국환경영향평가학회 1997 환경영향평가 Vol.6 No.2
Vegetation is an important factor in EIA (Environmental Impact Assessment) and it is assessed according to DGN (Degree of Green Naturality) in EIS (Environmental Impact Statement) preparation. But DGN has room for improvement of assessing vegetation status. This study introduced NDVI(Normalized Difference Vegetation Index) for improving status assessment method that subjects to DGN. For the application of NDVI, Landsat TM data of Chunchon on May 2, 1989 and June 1, 1994, and data of Ulsan on November 5, 1984, November 2, 1992 and May 9, 1994 were used. It compared NDVI with DGN according to season and location. The correlation coefficient value for the spring image (1994, 0.7, p=0.01) was proved to be higher than that of autumn (1984, 0.5, p=0.01).