|1. Clinical Metabolomis|
One of our researches is focused on determining the metabolic causality induced by various types of human disease. By examining the modulation of broad range of small molecules, “metabolites” (Metabolomics) and proteins (Proteomics), we aim at understanding the biochemical mechanistics and metabolic phenotypes of such diseases as neurodegenerative disease, kidney disease, diabetics, and obesity. Further, we hope to develop diagnostic and prognostic biomarker, pharmacological and molecular approaches to treating human disease.
2. Microbial Metabolomics
Microbe is very first target of many scientific researches as model organism of more complex biological system (e.g. animals and plants). In addition, microorganism has been attractive resources which can produce biologically-functional compounds (e.g. prototypes of drugs, bioactive compounds), and industrially-valuable materials. In our lab, we utilize Chlamydomonas, a unicellular alga that is very well suited for such complex studies: it is a robust organism that occurs naturally in various environments, its genome is sequenced, and genetic tools and mutant and RNAi strains are available through the Chlamydomonas research community. It is biochemically related to other Eukaryotes like yeast but it also shares biochemical relationships to higher plants, like a chloroplast and starch synthesis. We aim at exploiting a variety of cutting-edge technologies in mass spectrometry and statistics to identify and quantify large metabolic networks for both metabolites and soluble enzymes.
3. Food Science
We are also interested at metabolomics-based food research in which we explore novel bioactive compounds from natural product, assess food safety, and quality using high-throughput mass-spectrometry analysis.
We are open to your own nice idea whichever has "metabolism" in it. Bring your idea to "Systems"
|2015년 이후 연구논문들
Dong Yoon Ji, Se Hee Park, Soo Jin Park, Kyoung Heon Kim, Cheol Ryong Ku, Dong Yeob Shin, Jin Sook Yoon, Do Yup Lee & Eun Jig Lee (2018)
Comparative assessment of Graves’ disease and main extrathyroidal manifestation, Graves’ ophthalmopathy, by non-targeted metabolite profiling of blood and orbital tissue.
Sci. Rep., 8:9262
Yeong-Je Seong, Hye-Jin Lee, Jung-Eun Lee, Sooah Kim, Do Yup LEE, Kyoung Heon Kim, Yong-Cheol Park (2017)
Physiological and metabolomic analysis of Issatchenkia orientalis MTY1 with multiple tolerance for cellulosic bioethanol production.
Biotechnol. J., 12(11):1700110
Yeo Ul Cho, Deokjong Lee, Jung-Eun Lee, Kyoung Heon Kim, Do Yup Lee, Young-Chul Jung (2017)
Exploratory metabolomics of biomarker identification for the internet gaming disorder in young Korean males.
J. Chromatogr. B, 1057:24-31
Cheol-Ho Jang, Gayeon Lee, Yong-Cheol Park, Kyoung Heon Kim, Do Yup Lee (2017)
Highly Time-Resolved Metabolic Reprogramming toward Differential Levels of Phosphate in Chlamydomonas reinhardtii.
J. Microbiol. Biotechnol., 27(6):1150-1156
Soo Jin Park, In Hye Jeong, Byung Soo Kong, Jung-Eun Lee, Kyoung Heon Kim, Do Yup Lee, Ho Jin Kim (2016)
Disease type-and status-specific alteration of CSF metabolome coordinated with clinical parameters in inflammatory demyelinating diseases of CNS.
PloS one, 11(11):e0166277
Jung-Eun Lee, Yeo Ul Cho, Kyoung Heon Kim, Do Yup Lee (2016)
Distinctive metabolomic responses of Chlamydomonas reinhardtii to the chemical elicitation by methyl jasmonate and salicylic acid.
Process Biochem., 51(9):1147-1154
Jung-Eun Lee, Yu Ho Lee, Se-Yun Kim, Yang Gyun Kim, Ju-Young Moon, Kyung-Hwan Jeong, Tae Won Lee, Chun-Gyoo Ihm, Sooah Kim, Kyoung Heon Kim, Dong Ki Kim, Yon Su Kim, Chan-Duck Kim, Cheol Whee Park, Do Yup Lee, Sang-Ho Lee (2016)
Systematic biomarker discovery and coordinative validation for different primary nephrotic syndromes using gas chromatography-mass spectrometry.
J. Chromatogr. A, 1453:105-115
Jung-Eun Lee, Yunjung Kim, Kyoung Heon Kim, Do Yup Lee, Youngseok Lee (2016)
Contribution of drosophila TRPA1 to metabolism.
PloS one, 11(4):e0152935
Son HH, Lee DY, Seo HS, Jeong J, Moon JY, Lee JE, Chung BC, Kim E, Choi MH. (2016)
Hair sterol signatures coupled to multivariate data analysis reveal an increased 7β-hydroxycholesterol production in cognitive impairment.
J. Steroid Biochem. Mol. Biol., 155(A):9-17
YH Cho, HJ Lee, JE Lee, SJ Kim, K Park, DY Lee, YC Park (2015)
Fast determination of multiple-reaction intermediates for long-chain dicarboxylic acid biotransformation by gas chromatography-flame ionization detector.
J. Microbiol. Biotechnol., 25(5):704-708