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Dive into the research topics where Young-Mok Park is active.

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Featured researches published by Young-Mok Park.


Current Microbiology | 2002

Proteome analysis of aniline-induced proteins in Acinetobacter lwoffii K24.

Seung Ii Kim; Soo-Jung Kim; Myung Hee Nam; Soo Hyun Kim; Kwon-Soo Ha; Kye-Heon Oh; Jong-Shin Yoo; Young-Mok Park

Acinetobacter lwoffii K24 is a soil bacterium that can use aniline as a sole carbon and nitrogen source (by β-ketoadipate pathway genes (cat genes)) and has two copies of catABC gene separately located on the chromosome. In order to identify aniline-induced proteins, two-dimensional electrophoresis (2-DE) was applied to soluble protein fractions of A. lwoffii K24 cultured in aniline and succinate media. In the range of pH3–10, more than 370 spots were detected on the silver stained gels. Interestingly, more than 20 spots were selectively induced on aniline-cultured bacteria. Twenty-three protein spots of A. lwoffii K24 were analyzed by N-terminal microsequencing and internal microsequencing with in-gel digestion. Of 20 aniline induced protein spots, we identified six β-ketoadipate pathway genes, one subunit of amino group transfer (putative subunit of aniline oxygenase), malate dehydrogenase, putative ABC transporter, putative hydrolase, HHDD isomerase, and five unknown proteins. Especially in case of two catechol 1,2-dioxygenases (CDI1 and CDI2), more than three isotypes were detected on the 2D gel. This study showed that the proteome analysis of A. lwoffii K24 may be helpful for identification of genes induced by aniline and understanding of their function in the cell.


Experimental and Molecular Medicine | 1999

Improved cycle sequencing of GC-rich DNA template

Jong-Soon Choi; Jin-Sung Kim; Cheol-O Joe; Soo Hyun Kim; Kwon-Soo Ha; Young-Mok Park

Even when DNA sequencing of purified DNA template failed under the optimal condition, it can be generally contributed to high GC content. GC-rich region of template causes a secondary structure to produce shorter readable sequence. To solve this problem, the sequencing reaction was modified by using dimethyl sulfoxide (DMSO). It was found that 5% (v/v) of DMSO in the reaction mixture recovers sequencing signal intensity with reduced frequency of ambiguous bases. When DMSO was added to sequencing reaction of DNA template with normal GC content, it did not show any adverse effect. Sequencing accuracy and unambiguous base frequency were significantly improved at concentration of 2% to 5% (v/v) DMSO in GC-rich DNA template. DMSO has been empirically introduced to enhance the efficiency of PCR in GC-rich templates. However, the underlying mechanism of improved cycle sequencing by DMSO is unknown. Thus, cycle sequencing reaction was remodified with other additives such as N-methyl imidazole, N-methyl2-pyrrolidone, N-methyl-2-pyridone and glycerol, possessing the similar chemical properties as DMSO. Most of methyl nitrogen ring-containing chemicals did not improve sequencing accuracy, whereas only glycerol mimicked the positive effect of DMSO by the same extent. In the present study, we suggest that the treatment of DMSO improve cycle sequencing by the alteration of structural conformation of GC-rich DNA template.


Journal of Biochemistry and Molecular Biology | 2016

A novel IL-10-producing innate lymphoid cells (ILC10) in a contact hypersensitivity mouse model

Hyun-Kyung Kim; Jong Hwa Jang; Min Bum Lee; In Duk Jung; Young Mi Kim; Young-Mok Park; Wan Sung Choi

The immunoregulatory cytokine Interleukin 10 (IL-10) protein is produced by various cells during the course of inflammatory disorders. Mainly, it downregulates pro-inflammatory cytokines, antigen presentation, and helper T cell activation. In this study, we show that the ratio of IL-10-producing cells was significantly increased in lineage negative (i.e., not T, B, or leukocyte cell lineages) cells than in lineage positive cells in lymphoid and peripheral tissues. We further observed that IL-10-producing innate lymphoid cells (ILCs), here called firstly ILC10, were increased in number in oxazolone-induced contact hypersensitivity (CHS) mice. In detail, IL-10-producing lineage negative cells were elevated in the axillary, inguinal lymph node, and ear tissues of CHS mice. Notably, the cells expressed classical ILC marker proteins such as CD45, CD127, and Sca-1. Altogether, our findings suggest for the first time that ILC10s are present in various physiological settings and could be involved in numerous immune responses as regulatory cells. [BMB Reports 2016; 49(5): 293-296]


Journal of Plant Biotechnology | 2003

Rice Proteomics: A Functional Analysis of the Rice Genome and Applications

Sun-Hee Woo; Hong-Sig Kim; Berm-Heun Song; Chul-Won Lee; Young-Mok Park; Seung-Keun Jong; Yong-Gu Cho

In this review, we described the catalogues of the rice proteome which were constructed in our program, and functional characterization of some of these proteins was discussed. Mass-spectrometry is the most prevalent technique to rapidly identify a large number of proteome analysis. However, the conventional Western blotting/sequencing technique has been used in many laboratories. As a first step to efficiently construct protein cata-file in proteome analysis of major cereals, we have analyzed the N-terminal sequences of 100 rice embryo proteins and 70 wheat spike proteins separated by two-dimensional electrophoresis. Edman degradation revealed the N-terminal peptide sequences of only 31 rice proteins and 47 wheat proteins, suggesting that the rest of separated protein sports are N-terminally blocked. To efficiently determine the internal sequence of blocked proteins, we have developed a modified Cleveland peptide mapping method. Using this above method, the internal sequences of all blocked rice proteins(i, e., 69 proteins) were determined. Among these 100 rice proteins, thirty were proteins for which homologous sequence in the rice genome database could be identified. However, the rest of the proteins lacked homologous proteins. This appears to be consistent with the fact that about 45% of total rice cDNA have been deposited in the EMBL database. Also, the major proteins involved in the growth and development of rice can be identified using the proteome approach. Some of these proteins, including a calcium-binding protein that tuned out to be calreticulin, gibberellin-binding protein, which is ribulose-1.5-bisphosphate carboxylase/oxygense active in rice, and leginsulin-binding protein in soybean have functions in the signal transduction pathway. Proteomics is well suited not only to determine interaction between pairs of proteins, but also to identify multisubunit complexes. Currently, a protein-protein interaction database for plant proteins(http://genome.c.kanazawa-u.ac.jp/Y2H)could be a very useful tool for the plant research community. Also, the information thus obtained from the plant proteome would be helpful in predicting the function of the unknown proteins and would be useful be in the plant molecular breeding.


Journal of Plant Biotechnology | 2002

Proteome Data Analysis of Hairy Root of Panax ginseng : Use of Expressed Sequence Tag Data of Ginseng for the Protein Identification

Kyung-Hoon Kwon; Seung-Il Kim; Kyung-Wook Kim; Eun-A Kim; Kun Cho; Jin Young Kim; Young-Hwan Kim; Deok-Chun Yang; Cheol-Goo Hur; Jong-Shin Yoo; Young-Mok Park

For the hairy root of Panax ginseng, we have got mass spectrums from MALDI/TOF/MS analysis and Tandem mass spectrums from ESI/Q-TOF/MS analysis. While mass spectrum provides the molecular weights of peptide fragments digested by protease such as trypsin, tandem mass spectrum produces amino acid sequence of digested peptides. Each amino acid sequences can be a query sequence in BLAST search to identify proteins. For the specimens of animals or plants of which genome sequences were known, we can easily identify expressed proteins from mass spectrums with high accuracy. However, for the other specimens such as ginseng, it is difficult to identify proteins with accuracy since all the protein sequences are not available yet. Here we compared the mass spectrums and the peptide amino acid sequences with ginseng expressed sequence tag (EST) DB. The matched EST sequence was used as a query in BLAST search for protein identification. They could offer the correct protein information by the sequence alignment with EST sequences. 90% of peptide sequences of ESI/Q-TOF/MS are matched with EST sequences. Comparing 68% matches of the same sequences with the nr database of NCBI, we got more matches by 22% from ginseng EST sequence search. In case of peptide mass fingerprinting from MALDI/TOF/MS, only about 19% (9 proteins of 47 spots) among peptide matches from nr DB were correlated with ginseng EST DB. From these results, we suggest that amino acid sequencing using tandem mass spectrum analysis may be necessary for protein identification in ginseng proteome analysis.


Analytical Biochemistry | 1999

Structural Identification of Glycerolipid Molecular Species Isolated from Cyanobacterium Synechocystis sp. PCC 6803 Using Fast Atom Bombardment Tandem Mass Spectrometry

Young Hwan Kim; Jong-Soon Choi; Jong Shin Yoo; Young-Mok Park; Myung Soo Kim


Journal of Bacteriology | 1997

Cloning and characterization of two catA genes in Acinetobacter lwoffii K24.

Seung Il Kim; S.-H. Leem; Jong-Soon Choi; Young Ho Chung; Sung-Yong Kim; Young-Mok Park; Young Keun Park; Yung Nok Lee; Kwon-Soo Ha


Journal of Biochemistry and Molecular Biology | 2001

Site-Directed Mutagenesis of Two Cysteines (155, 202) in Catechol 1,2-dioxygenase

Seung-Il Kim; Soo-Jung Kim; Sun-Hee Leem; Kye-Heon Oh; Soo-Hyun Kim; Young-Mok Park


한국작물학회 학술발표대회 논문집 | 2008

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Sun-Hee Woo; Se-Young Kim; Kun Cho; Jong-Soon Choi; Young-Mok Park


한국작물학회 학술발표대회 논문집 | 2007

of Acinetobacter lwoffii K24

Sun-Hee Woo; Se-Young Kim; Jin Young Kim; Seung-Woo Cho; Tae-Seon Kim; Kun Cho; Keun-Yook Chung; Moon-Soon Lee; Young-Mok Park; Chul-Won Lee; Yong-Gu Cho; Jong-Soon Choi

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Yong-Gu Cho

Chungbuk National University

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Hong-Sig Kim

Chungbuk National University

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Seung-Keun Jong

Chungbuk National University

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Sun-Hee Woo

Kihara Institute for Biological Research

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Chul-Won Lee

Chungbuk National University

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Keun-Yook Chung

Chungbuk National University

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Kwon-Soo Ha

Kangwon National University

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Jin Young Kim

Scripps Research Institute

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