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- 검색키워드
- 저자 : Yi Sung-Gon (검색결과 88 건)
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( Sang Gon Kim ),( Yi Ming Wang ),( Chang Hoon Lee ),( Bong Gyu Mun ),( Pil Joo Kim ),( Sang Yeol Lee ),( Yong Chul Kim ),( Kyu Young Kang ),( Randeep Rakwal ),( Ganesh Kumar Agrawal ),( Sun Tae Kim ) 한국응용생명화학회 2011 Applied Biological Chemistry (Appl Biol Chem) Vol.54 No.5
Rice takes up phosphorous (P) as major nutrient source for its growth and development when grown under anaerobic water-logged soil conditions. To better understand the underlying mechanisms and to develop potential protein biomarkers of P-starvation, hydroponically-grown rice seedlings in the complete media and phosphorus absence (P-starvation) of phosphorous nutrient solutions were investigated for physiological and proteome changes. The P-starvation manifested significant reduction in root growth in three-week-old seedlings compared to respective complete media. Furthermore, P-starvation also showed increased activity of acid phosphatase in roots of one- and three-week-old seedlings, suggesting that experimental design is suitable for proteomics survey of P-starvation responsive proteins. Two-dimensional gel electrophoresis coupled with matrix-assisted laser desorption/ionization-time of flight (MALDI-TOF) mass spectrometry analysis of total root protein from three-week-old seedlings identified 10 P-starvation responsive protein spots out of 140 high-quality protein spots. Identified 10 proteins were involved in metabolism and defense/stress response. Out of 10, 2 and 8 protein spots were found to be up and down-regulated, respectively. Semi-quantitative reverse transcription polymerase chain reaction (RT-PCR) analysis of corresponding genes of four randomly selected proteins, including putative glyceraldehydes-3-phophate dehydrogenase (G3PDH, spot R1), S-adenosyl-L-methionine synthetase (SAMS, spot R4), ATP synthase subunit alpha (spot R6), and root-specific pathogenesisrelated protein 10 (PR-10, spot R8), showed that just as protein abundance, these proteins are also regulated at the transcript level. Results suggest identified P-starvation responsive proteins are involved in maintaining nutrient homeostasis and/or associated with changes in root physiology under the absence of P.
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Immunomodulatory Extracellular Matrix for Macrophage Polarization and Tissue Regeneration
Yi Sun CHOI,Eunseon JEONG,Jung Seung LEE,Su Kyeom KIM,Sung-Hyun JO,Yun-Gon KIM,Hak-Joon SUNG,Yoonhee JIN,Seung-Woo CHO 한국생물공학회 2021 한국생물공학회 학술대회 Vol.2021 No.10
Immunomodulation in the local tissue microenvironment plays an important role in macrophage polarization that includes its phenotypic expression and pro-healing function. Here, we demonstrate that a lymph node extracellular matrix (LNEM) derived from porcine lymph node tissues can sufficiently mimic natural lymph node tissue and provide optimal biochemical and biophysical cues for immunomodulation in both two-dimensional (2D) coating system and three-dimensional (3D) hydrogel system. The LNEM with intricate extracellular matrix environment leads to strengthened immunomodulatory effects and a 3D hydrogel system proves to be more effective than 2D coating system. The 3D LNEM induces macrophage elongation and enhances M2-type marker expression. Also, the secretion of anti-inflammatory cytokines are increased and phagocytic function is enhanced in macrophages cultured in 3D LNEM. Finally, the implantation of an LNEM hydrogel in a mouse volumetric muscle loss model facilitates the recruitment of host macrophages to the site of injury and enhances macrophage polarization towards the M2 phenotype, which is ideal for tissue regeneration. Therefore, our findings suggest that 3D immune system-mimicking biomaterials can stimulate M2 macrophage phenotype polarization and give rise to highly functional macrophages, making it a useful platform for tissue modeling and wound healing.
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( Yi Dong Yan ),( Jun Ho Sung ),( Dong Won Lee ),( Jung Su Kim ),( Eun Mi Jeon ),( Dae Duk Kim ),( Dong Wuk Kim ),( Jong Oh Kim ),( Ming Guan Piao ),( Dong Xun Li ),( Chul Soon Yong ),( Han Gon Choi ) 영남대학교 약품개발연구소 2012 영남대학교 약품개발연구소 연구업적집 Vol.22 No.0
Various amide prodrugs of salicylic acid were synthesised, and their physicochemical propertiesincluding lipophilicity, chemical stability and enzymatic hydrolysis were investigated. In vivo skinpermeation and accumulation profiles were also evaluated using a combination of common permeationenhancing techniques such as the use of a supersaturated solution of permeants in an enhancer vehicle, a lipophilic receptor solution, removal of the stratum corneum and delipidisation of skin. Their capacity factor values were proportional to the degree of carbon-carbon saturation in the side chain. All these amides were highly stable in acetonitrile and glycerine. Amide prodrugs were converted tosalicylic acid both in hairless mouse liver and skin homogenates. N-dodecyl salicylamide (C12SM) showed the lowest permeation of salicylic acid in skin compared to the other prodrugs, probably due to its low aqueous solubility. It had a high affinity for the stratum corneum and its accumulation was restricted to only the uppermost layer of skin. Thus, this amide prodrug could be a safer topicalsunscreen agent with minimum potential for systemic absorption.ⓒ2011 Elsevier B.V.All rights reserved.
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Difference of Lumbar Lordosis in Patients with Low Back Pain and Controls
Yi, Seung-Ju,Bae, Sung-Soo,Park, Rae-Joon,Kim, Chung-Sun,Chun, Byung-Yeol,Kim, Byung-Gon The Korean Society of Physical Therapy 2001 대한물리치료학회지 Vol.13 No.2
Objectives: The purpose of this study was to compare the difference of Lumbar Lordosis Angle (LLA)between patients with Low Back Pain (LBP) and control groups. Methods: Questionnaires were completed by 40 adults LBP patients seeking physical therapy services and by 40 controls at the department of Physical Therapy, SaeJong Neurosurgical Clinic in Taegu city, South Korea from October 1999 to March 2000. LLA was measured on lateral x-ray films with standing position. The angle between a line parallel to tile top of the first Lumbar (Ll) and the top of the fifth Lumbar (L5) was defined LLA. Results: LLA of 29.88$^{\circ}$ for LBP patients was statistically significant decrease from that of 35.31$^{\circ}$ for controls in the difference of lumbar lordosis (p<0.01). There were statistically significant differences between genders in patients groups. Females(32.22$^{\circ}$) had significantly greater angles than males (27.32$^{\circ}$) (p<0.05), while 36.63$^{\circ}$ for female was also greater than 34.12$^{\circ}$ for male in the controls. No significant difference was found between age. In patient groups, 27.95$^{\circ}$ for below age 40 was a smaller than 32.32$^{\circ}$ for above, however, 35.82$^{\circ}$ for below age 40 was a little greater than 34.27$^{\circ}$ for above in controls. Patients in sitting posture had greater LLA (31.35$^{\circ}$). than those standing (28.93$^{\circ}$), however. values for controls were similar to each other. Conclusions: Results from this study indicate that distinct difference exist among patients and controls and gender, whereas little difference exists in age and working posture.
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Rank-based clustering analysis for the time-course microarray data.
Yi, Sung-Gon,Joo, Yoon-Jeong,Park, Taesung World Scientific Publishing Company 2009 Journal of bioinformatics and computational biolog Vol.7 No.1
<P>Microarray technology allows the monitoring of expression levels for thousands of genes simultaneously. In time-course microarray experiments in which gene expression is monitored over time, we are interested in clustering genes that show similar temporal profiles and identifying genes that show a pre-specified candidate profile. Unfortunately, many traditional clustering methods used for analyzing microarray data do not effectively detect temporal profiles for the time-course microarray data. We propose a rank-based clustering analysis for the time-course microarray data. Our clustering method consists of two steps: the first step discretizes the expression data into groups and then transform them into the rank data, the second step performs the rank-based clustering analysis. Our testing procedure uses the bootstrap samples to select the genes that show similar patterns for the candidate profiles. Simulation study is performed to evaluate the performance of the proposed rank-based method. The results are illustrated with the breast cancer data and the Arabidopsis cold stress data.</P>
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Sung, Hwankyung,Bessell, Michael S.,Chun, Moo-Young,Yi, Jonghyuk,Nazé,, Y.,Lim, Beomdu,Karimov, R.,Rauw, G.,Park, Byeong-Gon,Hur, Hyeonoh American Astronomical Society 2017 The Astrophysical journal Supplement series Vol.230 No.1
<P>We present deep wide-field optical CCD photometry and mid-infrared Spitzer/IRAC and MIPS 24 mu m data for about 100,000 stars in the young open cluster IC 1805. The members of IC 1805 were selected from their location in the various color-color and color-magnitude diagrams, and the presence of H alpha emission, mid-infrared excess emission, and X-ray emission. The reddening law toward IC 1805 is nearly normal (R-V = 3.05 +/- 0.06). However, the distance modulus of the cluster is estimated to be 11.9 +/- 0.2 mag (d = 2.4 +/- 0.2 kpc) from the reddening-free color-magnitude diagrams, which is larger than the distance to the nearby massive star-forming region W3(OH) measured from the radio VLBA astrometry. We also determined the age of IC 1805 (tau(MSTO) = 3.5 Myr). In addition, we critically compared the age and mass scale from two pre-main-sequence evolution models. The initial mass function with a Salpeter-type slope of Gamma = -1.3 +/- 0.2 was obtained and the total mass of IC 1805 was estimated to be about 2700 +/- 200 M-circle dot. Finally, we found our distance determination to be statistically consistent with the Tycho-Gaia Astrometric Solution Data Release 1, within the errors. The proper motion of the B-type stars shows an elongated distribution along the Galactic plane, which could be explained by some of the B-type stars being formed in small clouds dispersed by previous episodes of star formation or supernova explosions.</P>
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Yi, Da-Hye,Sathiyanarayanan, Ganesan,Seo, Hyung Min,Kim, Jung-Ho,Bhatia, Shashi Kant,Kim, Yun-Gon,Park, Sung-Hee,Jung, Ji-Young,Lee, Yoo Kyung,Yang, Yung-Hun Springer-Verlag 2016 BIOPROCESS AND BIOSYSTEMS ENGINEERING Vol.39 No.1
<P>In this study, the environmental adaptive metabolic processes were investigated using a psychrotrophic polar bacterium Bacillus pumilus PAMC 23174 in response to various temperatures and nutrients, especially in regard to the synthesis of fatty acids. Fatty acid methyl ester analysis was performed using gas chromatography-mass spectrometry and we found that a sensitive changes in iso-branched fatty acid (iso-15:0) synthesis occurred when adjusting the nutritional ratio of branched chain fatty acids (anteiso/iso) with different temperatures, resulting in a change in the balance of anteiso- and iso-form fatty acids. We also observed that this Arctic bacterium preferred amino acid leucine for the synthesis of fatty acids. The increased and decreased synthesis of iso-form fatty acids in response to different temperatures and leucine preference, changes the fatty acid ratio in bacteria, which further affects the membrane fluidity and it is also directly correlated with survival of bacteria in an extreme environment. Hence, this study suggests that B. pumilus PAMC 23174 is a potential model organism for the analysis of the unique ecological adaptations of polar bacteria in changing and the extreme environments.</P>
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Response projected clustering for direct association with physiological and clinical response data
Yi, Sung-Gon,Park, Taesung,Lee, Jae K BioMed Central 2008 BMC bioinformatics Vol.9 No.-
<P><B>Background</B></P><P>Microarray gene expression data are often analyzed together with corresponding physiological response and clinical metadata of biological subjects, e.g. patients' residual tumor sizes after chemotherapy or glucose levels at various stages of diabetic patients. Current clustering analysis cannot directly incorporate such quantitative metadata into the clustering heatmap of gene expression. It will be quite useful if these clinical response data can be effectively summarized in the high-dimensional clustering display so that important groups of genes can be intuitively discovered with different degrees of relevance to target disease phenotypes.</P><P><B>Results</B></P><P>We introduced a novel clustering analysis approach, <I>response projected clustering </I>(RPC), which uses a high-dimensional geometrical projection of response data to the gene expression space. The projected response vector, which becomes the origin in the projected space, is then clustered together with the projected gene vectors based on their different degrees of association with the response vector. A bootstrap-counting based RPC analysis is also performed to evaluate statistical tightness of identified gene clusters. Our RPC analysis was applied to the <I>in vitro </I>growth-inhibition and microarray profiling data on the NCI-60 cancer cell lines and the microarray gene expression study of macrophage differentiation in atherogenesis. These RPC applications enabled us to identify many known and novel gene factors and their potential pathway associations which are highly relevant to the drug's chemosensitivity activities and atherogenesis.</P><P><B>Conclusion</B></P><P>We have shown that RPC can effectively discover gene networks with different degrees of association with clinical metadata. Performed on each gene's response projected vector based on its degree of association with the response data, RPC effectively summarizes individual genes' association with metadata as well as their own expression patterns. Thus, RPC greatly enhances the utility of clustering analysis on investigating high-dimensional microarray gene expression data with quantitative metadata.</P>
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