• Mycobiology
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• v.45 no.3
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• pp.226-231
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• 2017

Coprinopsis cinerea was employed to investigate the fungal response to gravity. Mycelium growth revealed a consistent growth pattern, irrespective of the direction of gravity (i.e., horizontal vs. perpendicular). However, the fruiting body grew in the direction opposite to that of gravity once the primordia had formed. For the proteomic analysis, only curved-stem samples were used. Fifty-one proteins were identified and classified into 13 groups according to function. The major functional groups were hydrolases and transferases (16%), signal transduction (15%), oxidoreductases and isomerases (11%), carbohydrate metabolism (9%), and transport (5%). To the best of our knowledge, this is the first report on a proteomic approach to evaluate the molecular response of C. cinerea to gravity.

• Journal of Life Science
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• v.18 no.6
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• pp.814-825
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• 2008

Ascochlorin (ASC) is prenyl-phenol compound that was isolated from the fungus Ascochyta viciae. ASC reduces serum cholesterol and triglyceride levels, and suppresses hypertension, tumor development, ameliorates type I and II diabetes. Here, to better understand the mechanisms by which ASC regulates physiological or pathological events and induces responses in the pharmacological treatment of inflammation, we performed differential analysis of the proteome of the mouse macrophage RAW264.7 cells in response to ASC. In this study, we used a proteomic analysis of LPS-induced RAW264.7 cells treated by ASC, to identify proteins potentially involved in inflammatory processes. The RAW264.7 cell proteomes with and without treatment with ASC were compared using two-dimensional electrophoresis (2-D SDS-PAGE), matrix-assisted laser desorption/ionization mass spectrometry (MALDI-TOF-MS) and bioinformatics. The largest differences in expression were observed for the calreticulin (4-fold decrease), ${\beta}-actin$ (4-fold decrease) and vimentin (1.5-fold decrease). In addition, rabaptin was increased 3-fold in RAW264.7 cells treated with ASC. The expression of some selected proteins was confirmed by RT-PCR analysis.

• Genomics & Informatics
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• v.4 no.1
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• pp.40-44
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• 2006

Toxicogenomics combines transcriptome, proteome and metabolome profiling with conventional toxicology to investigate the interaction between biological molecules and toxicant or environmental stress in disease caution. Toxicogenomics faces the problems of comparison and integration across different sources of data. Cause of unusual characteristics of toxicogenomic data, researcher should be assisted by data analysis and annotation for getting meaningful information. There are already existing repositories which claim to stand for toxicogenomics database. However, those just contain limited abilities for toxicogenomic research. For supporting toxicologist who comes up against toxicogenomic data flood, now we propose novel toxicogenomics knowledgebase system, XPERANTO-TOX. XPERANTO-TOX is an integrated system for toxicogenomic data management and analysis. It is composed of three distinct but closely connected parts. Firstly, Data Storage System is for reposit many kinds of '-omics' data and conventional toxicology data. Secondly, Data Analysis System consists of analytical modules for integrated toxicogenomics data. At last, Data Annotation System is for giving extensive insight of data to researcher.

• Korean Journal of Oriental Medicine
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• v.13 no.1 s.19
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• pp.153-160
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• 2007

In the post-genome era, analysis of the cellular transcriptome using microarray or the cellular proteome using a 2-D gel electrophoresis and MALDI-TOF mass spectrometry are most widely used. Stroke is one of the most important causes of death along with cancer and cardiac disease. When pathological change of cells in developed from cerebral ischemia accompanied by stroke administration of neuroprotective drugs before stroke can decreases the degeneration of neuronal cells. The purpose of the present study was to assess the neuroprotective effect and protein expression after administration of P004, middle cerebral artery model of cerebral ischemia in rats. SD rats were subjected to middle cerebral artery occlusion. P004 (1,000 mg/kg) was administered 2 times at 0, 90 minutes after middle cerebral artery occlusion (MCAo). Rats were killed at 48 hours, and infarct area and volume were determined by histology and computerized image analysis. We investigated the protein expression profile on the global ischemia induced by MCAo. This proteomic analysis enable us to identify several proteins differently expressed in infarct brain tissue. The aims of this study were to do investigation comparing the neuroprotection activities of P004 and to understand the mechanism of acted as neuroprotective drug.

• Bulletin of the Korean Chemical Society
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• v.35 no.3
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• pp.933-937
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• 2014

A derivative of Mycobacterium bovis Bacillus Calmette-Guerin (BCG) has been used for the preparation of tuberculosis vaccines. To establish a Korean tuberculosis vaccine derived from BCG-Pasteur $1173P_2$, genome sequencing of a BCG-Korea strain was completed by Joung and coworkers. A comparison analysis of the genome sequences of the BCG-Pasteur $1173P_2$ and BCG-Korea strains showed marginal increases in the total genome length (~0.05%) and the number of genes (~4%) in the BCG-Korea genome. However, how the genomic changes affect the BCG-Korea protein expression levels remains unknown. Here, we provide evidence of the proteomic alterations in the BCG-Korea strain by using a SWATH-based mass spectrometric approach (Sequential Window Acquisition of all THeoretical mass spectra). Twenty BCG proteins were selected by top-rank identification in the BCG proteome analysis and the proteins were quantified by the SWATH method. Thirteen of 20 proteins showing significant changes were enough to discriminate between the two BCG proteomes. The SWATH method is very straightforward and provides a promising approach owing to its strong reliability and reproducibility during the proteomic analysis.

• Bioinformatics and Biosystems
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• v.2 no.2
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• pp.46-51
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• 2007

In the proteomics research using mass spectrometry, the protein database search gives the protein information from the peptide sequences that show the best match with the tandem mass spectra. The protein sequence database has been a powerful knowledgebase for this protein identification. However, as we accumulate the protein sequence information in the database, the database size gets to be huge. Now it becomes hard to consider all the protein sequences in the database search because it consumes much computing time. For the high-throughput analysis of the proteome, usually we have used the non-redundant refined database such as IPI human database of European Bioinformatics Institute. While the non-redundant database can supply the search result in high speed, it misses the variation of the protein sequences. In this study, we have concerned the proteomics data in the point of protein similarities and used the network analysis tool to build a new analysis method. This method will be able to save the computing time for the database search and keep the sequence variation to catch the modified peptides.

• Plant Biotechnology Reports
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• v.5 no.4
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• pp.309-315
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• 2011

Rice grown in anaerobic waterlogged soil accumulates ammonium as a major source of nitrogen (N). We have compared the physiological symptoms of rice seedlings subjected to N-starvation stress with those receiving sufficient N, based on measurements of shoot/root length and weight and an analysis of protein expression patterns. N starvation marginally increased root growth but notably decreased shoot biomass. N uptake was reduced by >50% in the roots and shoots of N-starved seedlings. To better understand the mechanism of N starvation in rice, we performed a comparative proteome analysis of proteins isolated from rice leaves. Twenty-five differentially expressed proteins were analyzed by matrixassisted laser desorption/ionization time-of-flight (TOF) mass spectrometry and electron spray ionization quadrupole TOF. Functional analysis of the N-starvation response proteins suggested their involvement in protein synthesis and fate, metabolism, and defense. These results indicate that these proteins may play important roles in regulating the plant's complex adaptation responses for N use during N starvation. The proteins may be useful for further characterization of protein function in plant N nutrition.

• The Korean Journal of Mycology
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• v.45 no.3
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• pp.196-211
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• 2017

Despite the significance of external environmental factors in differentiation, putative factors involved in differentiation of Aspergillus nidulans have not yet been fully understood. A sporulation-specific proteome analysis of A. nidulans in the present study revealed that the expression levels of more than 2,400 proteins were affected under conditions inducing sporulation (0.6 M KCl) compared with normal conditions. Among the proteins with predicted functions, two targets, AN1342 and AN9419, were functionally analyzed using targeted deletion strains and phenotypic observations. For AN1342, because the deletion of the corresponding open reading frame caused a reduction in stalk length during asexual development and in pigment production in liquid culture, the gene was designated as sspA ($\underline{s}hort$ $\underline{s}talk$ & $\underline{p}igment$). Deletion of the AN9419 gene, which is predicted to encode alanyl-tRNA synthetase, led to severe growth defects due to alanine auxotrophy and abolishment of asexual reproduction and thus, the gene was designated as alaA.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2003.09b
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• pp.166-169
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• 2003

유전자에 대한 정보를 획득하는 기술적인 문제가 해결되면서, 질병 진단을 위한 새로운 접근 방법으로 혈액 속에 있는 모든 단백질(proteome)의 구성을 분석하는 프로테오믹스(proteomics)에 대한 연구가 최근 들어 활발하게 진행되고 있다. 본 논문은 암 진단을 위하여 혈액 중의 단백질의 구성을 측정한 2차원 전기영동 (2D electrophoresis) 젤 데이터를 해석하는 새로운 방법을 제시하였다. 우선 측정된 많은 단백질 스팟(spot) 중에서 T-statistics 방법으로 단백질 스팟들을 선택하였다. 선택된 단백질 스팟들로 이루어진 암 환자와 정상인 두 샘플들의 확률 분포를 각 집단에 따로 적용된 PCA 영역에서 계산하였다. 최종적으로 조건부 확률의 차이에 근거한 베이즈 분류(Bayes classification) 이론을 적용하여 암 진단을 하였다.

• Asian-Australasian Journal of Animal Sciences
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• v.22 no.6
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• pp.885-892
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• 2009

To investigate host defense mechanisms for protecting the mammary gland from mastitis infection, the membrane fraction of mammary tissues from Holstein cows was purified by differential velocity centrifugation, and then the sodium dodecyl sulfate-polyacrylamid gel electrophoresis (SDS-PAGE) separated proteins were identified by ion trap mass spectrometer equipped with a Surveyor high performance liquid chromatography (HPLC) system. A total of 183 proteins were identified. Bioinformatics software was applied to analyse physicochemical characteristics of the identified proteins and to predict biochemical function. These data may provide valuable information to investigate the mechanisms of mammary gland milk secretion and infectious disease, and enable a clear identification of proteins and potential protein targets for therapies.