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임원철,민경미,정덕호,이병무,권영은 대한독성 유전단백체 학회 2011 Molecular & cellular toxicology Vol.7 No.3
DNA microarrays have revolutionized environmental research by enabling the discovery of genomic markers that reflect the toxic effect of various chemicals and by providing information on the underlying mechanisms. Microarray-based toxicogenomics approaches have become a popular tool to investigate potential risks of exposure to various environmental contaminants at the DNA level. Especially,the analysis of microarray data that are generated under various experimental conditions is critically important for validation of biomarkers and, thus, diagnosis and treatment of environmental targets. Presently, we identified commonly regulated genes whose expression level varied upon exposure to volatile organic compounds (VOCs) by performing cross-experimental analysis of public gene expression datasets using the RankProd algorithm. VOCs are chemical contaminants that often exhibit long-term adverse effects upon chronic exposure. Since VOCs are often used in household items and residential buildings, it is important to understand their effect on human health in a more systematic way. This cross-experiment resulted in a valid set of commonly regulated genes. The functional analysis of these differentially expressed genes (DEGs) generated several significantly over-represented Gene Ontology terms and identified metabolic pathways tightly-associated with cancer development. The functional analysis of identified up-regulated genes (RPL27, RPS6, RPS11, RPS27A, AURKA, FNTA,HSP90AB1) revealed concordance with genes related to various respiratory symptoms such as non-small cell lung cancer. The selected commonly regulated diseaserelated genes were also compared with the DEGs identified in previous analysis performed individually for validation of biomarkers.
Germinated Waxy Black Rice Suppresses Weight Gain in High-Fat Diet-Induced Obese Mice
임원철,호진녕,이희섭,조홍연 한국식품영양과학회 2016 Journal of medicinal food Vol.19 No.4
This study was performed to investigate the antiobesity effect of germinated waxy black rice (GWBR) in highfat diet (HFD)-induced obese mice. The mice were divided into a normal diet (ND) group, HFD group, and 2 test groups for 8 weeks: 2.5% GWBR-supplemented (GWBR-2.5) group and 5% GWBR-supplemented (GWBR-5) group. Supplementing with GWBR significantly reduced body weight gain and lipid accumulation in the liver and adipose tissue compared to the HFD control group. Triglyceride (TG), total cholesterol, and low-density lipoprotein-cholesterol levels in serum were decreased by GWBR supplementation, whereas high-density lipoprotein-cholesterol level significantly increased. In addition, mRNA levels of transcriptional factors, such as peroxisome proliferator-activated receptor-γ, CCAAT enhancer-binding protein (C/EBP)-α, C/EBP-β, sterol regulatory element-binding protein-1c, and related genes, including adipocyte fatty acid-binding protein, fatty acid synthase, and lipoprotein lipase, were significantly lower in the GWBR groups. However, lipolytic enzymes, such as hormone-sensitive lipase, adipose TG lipase, and carnitine palmitoyltransferase-1, and uncoupling protein 2 mRNA levels were significantly higher in GWBR-supplemented mice. These results suggest that GWBR exerts antiobesity effects by decreasing lipid accumulation and promoting lipolysis in HFD-induced obese mice.
임원철,Jin-Nyoung Ho,이희섭,조홍연 한국식품과학회 2016 Food Science and Biotechnology Vol.25 No.3
The aim of this study was to investigate the anti-obesity effects of germinated waxy black rice (GWBR) extract in 3T3-L1 adipocytes. The inhibitory effect of GWBR extract against adipocyte differentiation was evaluated using Oil Red O staining and glycerol-3-phosphate dehydrogenase (GPDH) assay. GWBR extract inhibited adipocyte differentiation, but was not found to elicit any cytotoxicity. The mRNA levels of adipogenic transcriptional factors such as C/EBP-α and -β, PPAR-γ, and SREBP-1c, as well as adipogenic enzymes, including aP2, LPL, and FAS were significantly downregulated by treatment with GWBR extract compared to untreated control cells. However, mRNA levels of lipolytic genes such as HSL and ATGL, β-oxidation related genes CPT1, and UCP2 involved in thermogenesis were significantly up-regulated by treatment with GWBR extract. These data suggest that GWBR extract may be a potential functional food, and may have pharmacological applications in both the prevention and treatment of obesity.
심전도 신호기반 개인식별을 위한 텐서표현의 다선형 판별분석기법
임원철(Won-Cheol Lim),곽근창(Keun-Chang Kwak) 한국스마트미디어학회 2018 스마트미디어저널 Vol.7 No.4
심전도 신호는 기본적으로 심장의 전기적 활동에 포함되며 이를 통해 심박수 측정, 심장 박동의 리듬 검사, 심장 이상 진단, 정서 인식 및 생체 인식과 같은 다양한 목적으로 분석 및 활용된다. 본 논문의 목적은 다차원 데이터 배열인 텐서 특성을 가진 다선형 판별분석(MLDA: Multilinear Linear Discriminant Analysis) 기법을 이용하여 개인식별을 수행하고자 한다. MLDA 는 상위 차원의 텐서를 포함하는 분류 문제에 대해서 차원 문제를 해결 할 수 있으며, 상호 연관된 부분 공간은 서로 다른 클래 스를 구별하기 위해 사용될 수 있다. 제시된 방법의 성능을 검증하기 위해 Physionet의 MIT-BIH데이터베이스를 적용하였다. 이 데이터베이스에 대해 실험한 결과, MLDA는 기존 PCA와 LDA와 비교하여 개인식별 성능이 우수함을 확인하였다. A Multilinear LDA Method of Tensor Representation for ECG Signal Based Individual Identification Electrocardiogram signals, included in the cardiac electrical activity, are often analyzed and used for various purposes such as heart rate measurement, heartbeat rhythm test, heart abnormality diagnosis, emotion recognition and biometrics. The objective of this paper is to perform individual identification operation based on Multilinear Linear Discriminant Analysis (MLDA) with the tensor feature. The MLDA can solve dimensional aspects of classification problems in high-dimensional tensor, and correlated subspaces can be used to distinguish between different classes. In order to evaluate the performance, we used MPhysionet s MIT-BIH database. The experimental results on this database showed that the individual identification by MLDA outperformed that by PCA and LDA.