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Ganglioside GM1 influences the proliferation rate of mouse induced pluripotent stem cells
( Jae-sung Ryu ),( Kyu-tae Chang ),( Ju-taek Lee ),( Malg-um Lim ),( Hyun-ki Min ),( Yoon-ju Na ),( Su-bin Lee ),( Gislain Moussavou ),( Sun-uk Kim ),( Ji-su Kim ),( Kinarm Ko ),( Kisung Ko ),( Kyung- 생화학분자생물학회(구 한국생화학분자생물학회) 2017 BMB Reports Vol.50 No.6
The ACKNOWLEDGEMENTS should be corrected as follows, "This research was supported by a grant (Code# PJ0074922012) from the Korean Rural Development Administration, and has been supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education Science and Technology (2010-0022316 and KCG5401011), and the KRIBB/KRCF Research Initiative Program (NAP), Korea. The published article in this journal was a part of the 2013 Doctoral thesis of Jae-Sung Ryu submitted to Wonkwang University, Korea." and not "This research was supported by a grant (Code# PJ0074922012) from the Korean Rural Development Administration, and has been supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education Science and Technology (2010-0022316 and KCG5401011), and the KRIBB/KRCF Research Initiative Program (NAP), Korea."
( Jae Yeol Cheong ),( Se Yeong Hamm ),( Dong Chan Koh ),( Chung Mo Lee ),( Sang Min Ryu ),( Soo Hyoung Lee ) 대한지질공학회 2016 지질공학 Vol.26 No.1
Groundwater flow paths and groundwater ages at a radioactive waste repository located in a coastal area of South Korea were evaluated using the hydrochemical and hydrogeological characteristics of groundwater, surface water, rain water, and seawater, as well as by numerical modeling. The average groundwater travel time in the top layer of the model, evaluated by numerical modeling and groundwater age (34 years), approximately corresponds to the groundwater age obtained by chlorofluorocarbon (CFC)- 12 analysis (26.34 years). The data suggest that the groundwater in wells in the study area originated up-gradient at distances of 140.230 m. Results of CFC analyses, along with seasonal variations in the δ18O and δD values of groundwater and the relationships between 222Rn concentrations and δ18O values and between 222Rn concentrations and δD values, indicate that groundwater recharge occurs in the summer rainy season and discharge occurs in the winter dry season. Additionally, a linear relationship between dissolved SiO2 concentrations and groundwater ages indicates that natural mineralization is affected by the dilution of groundwater recharge in the rainy summer season.
Sung-Hee Han,Young-Ho Yang,Jae-Song Ryu,Young-Jin Kim,Kyoung-Ryul Lee 대한의학유전학회 2015 대한의학유전학회지 Vol.12 No.2
Purpose: Conventional methods for the prenatal detection of fetal RhD status involve invasive procedures such as fetal blood sampling and amniocentesis. The identification of cell-free fetal DNA (cffDNA) in maternal plasma creates the possibility of determining fetal RhD status by analyzing maternal plasma DNA. However, some technical problems still exist, especially the lack of a positive control marker for the presence of fetal DNA. Therefore, we assessed the feasibility and accuracy of fetal RHD genotyping incorporating the RASSF1A epigenetic fetal DNA marker from cffDNA in the maternal plasma of RhDnegative pregnant women in Korea. Materials and Methods: We analyzed maternal plasma from 41 pregnant women identified as RhD-negative by serological testing. Multiplex real-time PCR was performed by amplifying RHD exons 5 and 7 and the SRY gene, with RASSF1A being used as a gender-independent fetal epigenetic marker. The results were compared with those obtained by postnatal serological analysis of cord blood and gender identification. Results: Among the 41 fetuses, 37 were RhD-positive and 4 were RhD-negative according to the serological analysis of cord blood. There was 100% concordance between fetal RHD genotyping and serological cord blood results. Detection of the RASSF1A gene verified the presence of cffDNA, and the fetal SRY status was correctly detected in all 41 cases. Conclusion: Noninvasive fetal RHD genotyping with cffDNA incorporating RASSF1A is a feasible, reliable, and accurate method of determining fetal RhD status. It is an alternative to amniocentesis for the management of RhD-negative women and reduces the need for unnecessary RhIG prophylaxis.
Reconstruction of genome-scale human metabolic models using omics data
Ryu, Jae Yong,Kim, Hyun Uk,Lee, Sang Yup Oxford University Press 2015 Integrative biology Vol.7 No.8
<▼1><P>Genome-scale metabolic models of human cells and tissues can be reconstructed using omics data for systematic and personalized medicine.</P></▼1><▼2><P>The impact of genome-scale human metabolic models on human systems biology and medical sciences is becoming greater, thanks to increasing volumes of model building platforms and publicly available omics data. The genome-scale human metabolic models started with Recon 1 in 2007, and have since been used to describe metabolic phenotypes of healthy and diseased human tissues and cells, and to predict therapeutic targets. Here we review recent trends in genome-scale human metabolic modeling, including various generic and tissue/cell type-specific human metabolic models developed to date, and methods, databases and platforms used to construct them. For generic human metabolic models, we pay attention to Recon 2 and HMR 2.0 with emphasis on data sources used to construct them. Draft and high-quality tissue/cell type-specific human metabolic models have been generated using these generic human metabolic models. Integration of tissue/cell type-specific omics data with the generic human metabolic models is the key step, and we discuss omics data and their integration methods to achieve this task. The initial version of the tissue/cell type-specific human metabolic models can further be computationally refined through gap filling, reaction directionality assignment and the subcellular localization of metabolic reactions. We review relevant tools for this model refinement procedure as well. Finally, we suggest the direction of further studies on reconstructing an improved human metabolic model.</P></▼2>
A comparison of the implant stability among various implant systems: clinical study
Jae-Min Kim,Sun-Jong Kim,Inho Han,Sang-Wan Shin,Jae-Jun Ryu 대한치과보철학회 2009 The Journal of Advanced Prosthodontics Vol.1 No.1
PURPOSE. To determine the change in stability of single-stage, three different design of implant systems in humans utilizing resonance frequency analysis for early healing period (24 weeks), without loading. MATERIAL AND METHODS. Twenty-five patients were included into this study. A total of 45 implants, three different design of implant systems (group A,C,R) were placed in the posterior maxilla or mandible. The specific transducer for each implant system was used. ISQ (implant stability quotient) reading were obtained for each implant at the time of surgery, 3, 6, 8, 10, 12, 24 weeks postoperatively. Data were analyzed for different implant type, bone type, healing time, anatomical locations. RESULTS. For each implant system, a two-factor mixed-model ANOVA demonstrated that a significant effect on ISQ values (group A = 0.0022, C = 0.017, R = 0.0018). For each implant system, in a two-factor mixed model ANOVA, and two-sample t-test, the main effect of jaw position (P > .005) on ISQ values were not significant. CONCLUSIONS. All the implant groups A, C and R, the change patterns of ISQ over time differed by bone type. Implant stability increased greatly between week 0 and week six and showed slow increase between week six and six months (plateau effect).