• The Korea Genome Conference
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• 2006.09a
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• pp.41-41
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• 2006

• Molecules and Cells
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• v.37 no.6
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• pp.457-466
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• 2014

Proteomic analysis is helpful in identifying cancerassociated proteins that are differentially expressed and fragmented that can be annotated as dysregulated networks and pathways during metastasis. To examine metastatic process in lung cancer, we performed a proteomics study by label-free quantitative analysis and N-terminal analysis in 2 human non-small-cell lung cancer cell lines with disparate metastatic potentials - NCI-H1703 (primary cell, stage I) and NCI-H1755 (metastatic cell, stage IV). We identified 2130 proteins, 1355 of which were common to both cell lines. In the label-free quantitative analysis, we used the NSAF normalization method, resulting in 242 differential expressed proteins. For the N-terminal proteome analysis, 325 N-terminal peptides, including 45 novel fragments, were identified in the 2 cell lines. Based on two proteomic analysis, 11 quantitatively expressed proteins and 8 N-terminal peptides were enriched for the focal adhesion pathway. Most proteins from the quantitative analysis were upregulated in metastatic cancer cells, whereas novel fragment of CRKL was detected only in primary cancer cells. This study increases our understanding of the NSCLC metastasis proteome.

• Mass Spectrometry Letters
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• v.4 no.2
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• pp.25-29
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• 2013

Proteomics for biomarker validation needs high throughput instrumentation to analyze huge set of clinical samples for quantitative and reproducible analysis at a minimum time without manual experimental errors. Sample preparation, a vital step in proteomics plays a major role in identification and quantification of proteins from biological samples. Tryptic digestion a major check point in sample preparation for mass spectrometry based proteomics needs to be more accurate with rapid processing time. The present study focuses on establishing a high throughput automated online system for proteolytic digestion and desalting of proteins from biological samples quantitatively and qualitatively in a reproducible manner. The present study compares online protein digestion and desalting of BSA with conventional off-line (in-solution) method and validated for real time sample for reproducibility. Proteins were identified using SEQUEST data base search engine and the data were quantified using IDEALQ software. The present study shows that the online system capable of handling high throughput samples in 96 well formats carries out protein digestion and peptide desalting efficiently in a reproducible and quantitative manner. Label free quantification showed clear increase of peptide quantities with increase in concentration with much linearity compared to off line method. Hence we would like to suggest that inclusion of this online system in proteomic pipeline will be effective in quantification of proteins in comparative proteomics were the quantification is really very crucial.

• Journal of Ginseng Research
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• v.44 no.1
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• pp.50-57
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• 2020

Background: The cellular senescence of primary cultured cells is an irreversible process characterized by growth arrest. Restoration of senescence by ginsenosides has not been explored so far. Rg3(S) treatment markedly decreased senescence-associated β-galactosidase activity and intracellular reactive oxygen species levels in senescent human dermal fibroblasts (HDFs). However, the underlying mechanism of this effect of Rg3(S) on the senescent HDFs remains unknown. Methods: We performed a label-free quantitative proteomics to identify the altered proteins in Rg3(S)-treated senescent HDFs. Upregulated proteins induced by Rg3(S) were validated by real-time polymerase chain reaction and immunoblot analyses. Results: Finally, 157 human proteins were identified, and variable peroxiredoxin (PRDX) isotypes were highly implicated by network analyses. Among them, the mitochondrial PRDX3 was transcriptionally and translationally increased in response to Rg3(S) treatment in senescent HDFs in a time-dependent manner. Conclusion: Our proteomic approach provides insights into the partial reversing effect of Rg3 on senescent HDFs through induction of antioxidant enzymes, particularly PRDX3.

• Journal of Ginseng Research
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• v.43 no.1
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• pp.143-153
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• 2019

Background: Ginseng is one of the well-known medicinal plants, exhibiting diverse medicinal effects. Its roots possess anticancer and antiaging properties and are being used in the medical systems of East Asian countries. It is grown in low-light and low-temperature conditions, and its growth is strongly inhibited at temperatures above $25^{\circ}C$. However, the molecular responses of ginseng to heat stress are currently poorly understood, especially at the protein level. Methods: We used a shotgun proteomics approach to investigate the effect of heat stress on ginseng leaves. We monitored their photosynthetic efficiency to confirm physiological responses to a high-temperature stress. Results: The results showed a reduction in photosynthetic efficiency on heat treatment ($35^{\circ}C$) starting at 48 h. Label-free quantitative proteome analysis led to the identification of 3,332 proteins, of which 847 were differentially modulated in response to heat stress. The MapMan analysis showed that the proteins with increased abundance were mainly associated with antioxidant and translation-regulating activities, whereas the proteins related to the receptor and structural-binding activities exhibited decreased abundance. Several other proteins including chaperones, G-proteins, calcium-signaling proteins, transcription factors, and transfer/carrier proteins were specifically downregulated. Conclusion: These results increase our understanding of heat stress responses in the leaves of ginseng at the protein level, for the first time providing a resource for the scientific community.

• Proceedings of the Korean Society for Bioinformatics Conference
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• 2006.02a
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• pp.38-44
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• 2006

프로테오믹스는 생물체 안에 포함되어 있는 단백질을 통합적으로 연구하는 학문이다. 단백질을 동정(Protein identification)하고, 단백질의 상태를 분석(Protein characterization)하며, 단백질의 양적 변화를 관찰(Protein quantitation)한다. 유전자로부터 mRNA 로 복제되고 codon 의 규칙에 따라 합성되는 단백질이 세포 내에 얼만큼 존재하는가라는 단백질의 양적인 변화는 세포 내의 환경에 따라 시시각각 변화할 수 있으며, 이러한 변화의 추적은 단백질의 기능을 밝히는 기초자료로서 중요성을 가진다. 특히 질병의 조기 진단을 위한 바이오마커를 발굴하기 위한 스크리닝 역할로서, 단백질의 발현 양상을 비교하는 프로테오믹스는 기대를 모으고 있다. 단백질에 대한 분석, 특히 질량분석기에 의해 초고속으로 대량의 단백질 데이터를 생산하는 프로테오믹스의 연구는 정량적인 단백질 발현양상 분석의 정확도를 높이기 위해 다양한 실험기법과 데이터 분석기법을 동원하고 있다. 이번 발표에서는 프로테오믹스에서 단백질의 양을 측정하기 위한 실험 방법들과 그에 따른 데이터 분석 방법들을 소개하고자 한다. 프로테오믹스 연구의 초창기부터 사용되어온 2차원 전기영동법에 의해 생성되는 2D-gel image 에서의 spot 분석법으로부터, 탄뎀 질량분석기를 사용하는 ICAT, iTRAQ 등의 labeling 방법에 의한 정량분석, 그리고 질량분석기의 정확도를 최대한으로 활용하는 label-free 방법에 대한 기본 개념을 살펴보고 데이터 분석 기술의 적용 방법을 알아본다.

• KOGO NEWS
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• v.6 no.1
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• pp.24-28
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• 2006

프로테오믹스는 생물체 안에 포함되어 있는 단백질을 통합적으로 연구한다. 단백질을 동정(Protein identification)하고, 단백질의 상태를 분석(Protein characterization)하며, 단백질의 양적 변화를 관찰(Protein quantitation)한다. 단백질에 대한 분석, 특히 질량분석기에 의해 초고속으로 대량의 단백질 데이터를 생산하는 프테테오믹스의 연구는 정량적인 단백질 발현양상분석의 정확도를 높이고 분석시간을 단축하기 위해 다양한 실험기법과 데이터 분석기법을 동원하고 있다. 1) 단백질의 양적 차이나 양적 변화의 관찰은 바이오마커를 발굴하고 생명현상의 메카니즘을 규명하여 그 결과를 신약개발에 활용하기 위한 기초 연구이다. 이 글에서는 프로테오믹스 연구의 초창기부터 사용되어온 2차원 전기영동법에 의해 생성되는 2D-gel image에서의 스팟(spot)분석법과 함께, 탄뎀 질량분석기를 사용하는 ICAT, SILAC 등의 동위 원소를 사용한 라벨링(labeling) 방법, 라벨링을 하지 않는 label-free 방법 등 프로테오믹스에서의 정량분석법에 대한 기본 개념을 살펴보고, 이들에서의 데이터 분석 기술의 적용에 대해 간략히 소개하였다.

• Journal of Plant Biotechnology
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• v.48 no.3
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• pp.165-172
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• 2021

The solubilization of isolated proteins into the adequate buffer containing of surfactants is primary step for proteomic analysis. Particularly, sodium dodecyl sulfate (SDS) is the most widely used surfactant, however, it is not compatible with mass spectrometry (MS). Therefore, it must be removed prior to MS analysis through rigorous washing, which eventually results in inevitable protein loss. Recently, photocleavable surfactant, 4-hexylphenylazosulfonate (Azo), was reported which can be easily degraded by UV irradiation and is compatible with MS during proteomic approach using animal tissues. In this study, we employed comparative label-free proteomic analysis for evaluating the solubilization efficacies of the Azo and SDS surfactants using rice leave proteins. This approach led to identification of 3,365 proteins of which 682 proteins were determined as significantly modulated. Further, according to the subcellular localization prediction in SDS and Azo, proteins localized in the chloroplast were the major organelle accounting for 64% of the total organelle in the SDS sample, while only 37.5% of organelle proteins solubilized in the Azo were predicted to be localized in chloroplast. Taken together, this study validates the efficient solubilization of total protein isolated from plant material for bottom-up proteomics. Azo surfactant is suitable as substitute of SDS and promising for bottom-up proteomics as it facilitates robust protein extraction, rapid washing step during enzymatic digestion, and MS analysis.

• Mass Spectrometry Letters
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• v.4 no.1
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• pp.1-9
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• 2013

Fungal biotechnology has been well established in food and healthcare sector, and now being explored for lignocellulosic biorefinery due to their great potential to produce a wide array of extracellular enzymes for nutrient recycling. Due to global warming, environmental pollution, green house gases emission and depleting fossil fuel, fungal enzymes for lignocellulosic biomass refinery become a major focus for utilizing renewal bioresources. Proteomic technologies tender better biological understanding and exposition of cellular mechanism of cell or microbes under particular physiological condition and are very useful in characterizing fungal secretome. Hence, in addition to traditional colorimetric enzyme assay, mass-spectrometry-based quantification methods for profiling lignocellulolytic enzymes have gained increasing popularity over the past five years. Majority of these methods include two dimensional gel electrophoresis coupled to mass spectrometry, differential stable isotope labeling and label free quantitation. Therefore, in this review, we reviewed more commonly used different proteomic techniques for profiling fungal secretome with a major focus on two dimensional gel electrophoresis, liquid chromatography-based quantitative mass spectrometry for global protein identification and quantification. We also discussed weaknesses and strengths of these methodologies for comprehensive identification and quantification of extracellular proteome.

• Molecules and Cells
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• v.37 no.12
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• pp.888-898
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• 2014

Pancreatic cancer is one of the most fatal cancers and is associated with limited diagnostic and therapeutic modalities. Currently, gemcitabine is the only effective drug and represents the preferred first-line treatment for chemotherapy. However, a high level of intrinsic or acquired resistance of pancreatic cancer to gemcitabine can contribute to the failure of gemcitabine treatment. To investigate the underlying molecular mechanisms for gemcitabine resistance in pancreatic cancer, we performed label-free quantification of protein expression in intrinsic gemcitabine-resistant and -sensitive human pancreatic adenocarcinoma cell lines using our improved proteomic strategy, combined with filter-aided sample preparation, single-shot liquid chromatography-mass spectrometry, enhanced spectral counting, and a statistical method based on a power law global error model. We identified 1931 proteins and quantified 787 differentially expressed proteins in the BxPC3, PANC-1, and HPDE cell lines. Bioinformatics analysis identified 15 epithelial to mesenchymal transition (EMT) markers and 13 EMT-related proteins that were closely associated with drug resistance were differentially expressed. Interestingly, 8 of these proteins were involved in glutathione and cysteine/methionine metabolism. These results suggest that proteins related to the EMT and glutathione metabolism play important roles in the development of intrinsic gemcitabine resistance by pancreatic cancer cell lines.