• KOREAN JOURNAL OF CROP SCIENCE
• /
• v.58 no.1
• /
• pp.50-56
• /
• 2013

For accurate analysis of low molecular peptides using SELDI-TOF MS (surface enhanced laser desorption/ionization time of flight mass spectrometry), the optimized analytical conditions should be established for a specific biological sample. This study was conducted to optimize SELDI-TOF MS analytical conditions for profiling low molecular peptide below 10 kDa presented in sorghum seeds. Analytical conditions were as follows; (1) protein chips: CM10 (weak cation exchanger) and Q10 (strong anion exchanger), (2) dilution factors of binding buffer: 1/2, 1/5, 1/10, 1/20, 1/50, 1/100, and 1/200, (3) the stringency of Q10 binding buffer: 10 mM and 100 mM, and (4) protein extraction buffers: sodium borate, sodium borate + acetone, phenol, and TCA buffers. Optimum dilution factors were selected as 1/20 and 1/50 in both protein chips, CM10 and Q10. Low stringency of Q10 binding buffer (10mM) detected more peptide peaks than high stringency (100 mM). Selected protein extraction buffers of sorghum seed for SELDI-TOF MS analysis was the sodium borate buffer in the range of 2~10 kDa, while the phenol buffer was more suitable in the range of 10~20 kDa.

• Clinical and Experimental Reproductive Medicine
• /
• v.32 no.2
• /
• pp.121-132
• /
• 2005

연구목적: 본 연구에서는 비폐쇄성 무정자증 환자에서 나타나는 정자형성과정의 이상과 고환세포의 세포자연사와의 연관관계 여부를 확인하였다. 또한 SELDI-TOF MS 분석을 통하여 고환 내 단백질 발현 양상을 확인하고, 질환에 따른 효과적인 biomarker 개발 가능성 여부를 확인하였다. 재료 및 방법: RT-PCR 및 면역조직화학법을 사용하여 고환에서의 Fas, FasL, Bcl-2, Bax와 Caspase-3의 발현 양상을 확인하고, in situ DNA 3'-end-labelling 방법으로 고환세포의 세포자연사 양상을 확인하였다. SELDI-TOF MS 분석법에 의한 고환의 병리학적 소견에 따른 단백질 발현 변화는 소수성 칩 ($H_4$)을 사용하여 분자량 10~100 kDa 범위 내에서 분석하였다. 결 과: 정상적인 정자형성과정을 보이는 폐쇄성 무정자증 환자의 고환에 비해 지주세포 증후군 (Sertoli cell only syndrome)과 성숙정지 (maturation arrest)를 보이는 고환 내 생식세포와 지주세포에서 세포자연사가 현저하게 증가한 것을 확인할 수 있었다. 세포자연사 관련인자들의 발현 양상을 확인한 결과, 지주세포 증후군과 성숙정지 환자군에서 Fas와 FasL mRNA의 발현이 증가하였으나, bcl-2, bax와 caspase-3 mRNA 발현의 경우에는 두 질환 모두에서 유의한 차이를 확인할 수 없었다. FasL 단백질 발현의 경우, 세포자연사의 증가가 관찰되었던 지주세포 증후군과 성숙정지를 보이는 환자의 간질세포와 지주세포에서 증가하는 양상을 나타내었다. SELDI-TOF MS 분석 결과에서 폐쇄성 무정자증 환자군에 비해 전체적인 단백질 발현양이 지주세포 증후군과 성숙정지 환자의 고환에서 감소하는 양상을 보였으며, 특히, 16.730 kDa 단백질의 현저한 감소를 확인할 수 있었다. 결 론: 본 연구결과를 통해 비폐쇄성 무정자증 환자에서 나타나는 정자형성과정의 장애는 생식세포의 비정상적인 세포자연사와 연관되어 있으며, 고환 내 Fas와 FasL의 비정상적인 발현이 주된 원인인 것을 확인할 수 있었다. 또한, SELDI-TOF MS 분석법을 통한 단백질 발현 양상의 연구는 무정자증 환자에서의 다양한 병리학적 소견을 쉽게 파악할 수 있는 biomarker 발굴뿐만 아니라 질환의 원인규명을 위한 연구에도 유용하게 이용될 수 있을 것으로 사료된다.

• Journal of Microbiology and Biotechnology
• /
• v.17 no.2
• /
• pp.207-217
• /
• 2007

The Saccharomyces0 cerevisiae KNU5377 strain, which was isolated from spoilage in nature, has the ability to convert biomass to alcohol at high temperatures and it can resist against various stresses [18, 19]. In order to understand the defense mechanisms of the KNU5377 strain under menadione (MD) as oxidative stress, we used several techniques for study: peptide mass fingerprinting (PMF) by matrix-assisted laser desorption/ionization-time of flight (MALDI-TOF) mass spectrometry (MS) followed by two-dimensional (2D) gel electrophoresis, liquid chromatography electrospray ionization tandem mass spectrometry (LC-ESI-MS/MS), and surface-enhanced laser desorption ionization-time of flight (SELDI-TOF) technology. Among the 35 proteins identified by MALDI-TOF MS, 19 proteins including Sod1p, Sod2p, Tsa1p, and Ahp1p were induced under stress condition, while 16 proteins were augmented under normal condition. In particular, five proteins, Sod1p, Sod2p, Ahp1p, Rib3p, Yaf9p, and Mnt1p, were induced in only stressed cells. By LC-ESI-MS/MS analysis, 37 proteins were identified in normal cells and 49 proteins were confirmed in the stressed cells. Among the identified proteins, 32 proteins were found in both cells. Five proteins including Yel047cp and Met6p were only upregulated in the normal cells, whereas 17 proteins including Abp1P and Sam1p were elevated in the stressed cells. It was interesting that highly hypothetical proteins such as Ynl281wp, Ygr279cp, Ypl273wp, Ykl133cp, and Ykr074wp were only expressed in the stressed cells. SELDI-TOF analysis using the SAX2 and WCX2 chips showed that highly multiple-specific protein patterns were reproducibly detected in ranges from 2.9 to 27.0 kDa both under normal and stress conditions. Therefore, induction of antioxidant proteins, hypothetical proteins, and low molecular weight proteins were revealed by different proteomic techniques. These results suggest that comparative analyses using proteomics might contribute to elucidate the defense mechanisms of KNU5377 under MD stress.

• Reproductive and Developmental Biology
• /
• v.32 no.2
• /
• pp.71-79
• /
• 2008

Surface-enhanced laser desorption and ionization time-of-flight mass spectrometry (SELDI-TOF MS) is one of the recently developed proteomic technologies which is based on capturing proteins and peptides by chemically modified surfaces and highly sensitive for the analysis of complex biological samples. In the present study, to gain insights into oocyte maturation and early embryo development, SELDI-TOF-MS was used to find the protein candidates that are specifically or prominently expressed in porcine oocytes at the in vitro matured metaphase II (MIIl) and germinal vesicle (GV) stages. By selected CM10 chip, 16 candidates were found to be up-regulated in GV stage oocytes compared with in MII stage oocytes, their molecular weights were 8,180 (2 candidates), 10,226 (5 candidates), 15,767 (5 candidates) and 16,770 (4 candidates) Da respectively. And the expression of 29 candidates were higher in MII than in GV stage oocytes, their molecular weight were 10,832 (3 candidates), 17,743 (8 candidates), 20,122 (3 candidates), 22,131 (3 candidates), 24,857 (7 candidates) and 33,507 (5 candidates) Da, respectively. The expression of selected 13 candidates (0.2 and 1.0 % error tolerances) were analyzed using real time RT-PCR. The proteins that differentially regulated during oocyte in vitro maturation in the pigs may be potential biomarkers of oocyte maturation and quality.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.10 no.6
• /
• pp.1407-1413
• /
• 2009

The present study was conducted to gain insights into oocyte maturation and early embryo development, SELDI-TOF-MS was used to find the protein candidates that are specifically or prominently expressed in mouse oocytes at the in vitro matured metaphase II (MIl) and germinal vesicle (GV) stages. By using selected CM10 chip, found 16 candidates which were up-regulated in GV stage oocytes compared with in MIl stage oocytes, molecular weight are 8180 (2 candidates), 10226 (5 candidates), 15767 (5 candidates) and 16770 (4 candidates) Da respectively. And 29 candidates were higher in MIl than in GV stage oocytes, molecular weight are 10832 (3 candidates), 17744(8 candidates), 20122 (3 candidates), 22131 (3 candidates), 24857 (7 candidates) and 33507 (5 candidates) Da, respectively. All (45) candidate (0.2 and 1.0 % error tolerances) were performed real time RT-PCR analysis and further selected 13 more potential candidates.

• Nuclear Medicine and Molecular Imaging
• /
• v.41 no.4
• /
• pp.299-308
• /
• 2007

Purpose: The aim of this study was to develop a bioinformatics software and to test it in serum samples of papillary thyroid cancer using mass spectrometry (SELDI-TOF-MS). Materials and Methods: Development of 'Protein analysis' software performing decision tree analysis was done by customizing C4.5. Sixty-one serum samples from 27 papillary thyroid cancer, 17 autoimmune thyroiditis, 17 controls were applied to 2 types of protein chips, CM10 (weak cation exchange) and IMAC3 (metal binding - Cu). Mass spectrometry was performed to reveal the protein expression profiles. Decision trees were generated using 'Protein analysis' software, and automatically detected biomarker candidates. Validation analysis was performed for CM10 chip by random sampling. Results: Decision tree software, which can perform training and validation from profiling data, was developed. For CM10 and IMAC3 chips, 23 of 113 and 8 of 41 protein peaks were significantly different among 3 groups (p<0.05), respectively. Decision tree correctly classified 3 groups with an error rate of 3.3% for CM10 and 2.0% for IMAC3, and 4 and 7 biomarker candidates were detected respectively. In 2 group comparisons, all cancer samples were correctly discriminated from non-cancer samples (error rate = 0%) for CM10 by single node and for IMAC3 by multiple nodes. Validation results from 5 test sets revealed SELDI-TOF-MS and decision tree correctly differentiated cancers from non-cancers (54/55, 98%), while predictability was moderate in 3 group classification (36/55, 65%). Conclusion: Our in-house software was able to successfully build decision trees and detect biomarker candidates, therefore it could be useful for biomarker discovery and clinical follow up of papillary thyroid cancer.

• Asian Pacific Journal of Cancer Prevention
• /
• v.14 no.3
• /
• pp.2037-2042
• /
• 2013

Background: Different methods of diagnosis have been found to be inefficient in terms of screening and early diagnosis of lung cancer. Cancer cells produce proteins whose serum levels may be elevated during the early stages of cancer development. Therefore, those proteins may be recognized as potential cancer markers. The aim of this study was to differentiate healthy individuals and lung cancer cases by analyzing their serum protein profiles and evaluate the efficacy of this method in the early diagnosis of lung cancer. Materials and Methods: 170 patients with lung cancer, 53 under high risk of lung cancer, and 47 healthy people were included in our study. Proteomic analysis of the samples was performed with the SELDI-TOF-MS approach. Results: The most discriminatory peak of the high risk group was 8141. When tree classification analysis was performed between lung cancer and the healthy control group, 11547 was determined as the most discriminatory peak, with a sensitivity of 85.5%, a specificity of 89.4%, a positive predictive value (PPV) of 96.7% and a negative predictive value (NPV) of 62.7%. Conclusions: We determined three different protein peaks 11480, 11547 and 11679 were only present in the lung cancer group. The 8141 peak was found in the high-risk group, but not in the lung cancer and control groups. These peaks may prove to be markers of lung cancer which suggests that they may be used in the early diagnosis of lung cancer.

• Development and Reproduction
• /
• v.8 no.1
• /
• pp.1-9
• /
• 2004

The potential importance of proteomic approaches has been clearly demonstrated in other fields of human medical research, including liver and heart disease and certain forms of cancer. However, reproductive researches have been applied to proteomics poorly. Proteomics can be defined as the systematic analysis of proteins for their identity, quantity, and function. It could increase the predictability of early drug development and identify non-invasive biomarkers of toxicity or efficacy. Proteome analysis is most commonly accomplished by the combination of two-dimensional gel electrophoresis(2DE) and MALDI-TOF(matrix-assisted laser desorption ionization-time of flight) MS(mass spectrometry) or protein chip array and SELDI-TOF(surface-enhanced laser desorption ionization-time of flight) MS. In addition understanding the possessing knowledge of the developing biomarkers used to assess reproductive biology will also be essential components relevant to the topic of reproduction. The continued integration of proteomic and genomic data will have a fundamental impact on our understanding of the normal functioning of cells and organisms and will give insights into complex cellular processes and disease and provides new opportunities for the development of diagnostics and therapeutics. The challenge to researchers in the field of reproduction is to harness this new technology as well as others that are available to a greater extent than at present as they have considerable potential to greatly improve our understanding of the molecular aspects of reproduction both in health and disease.

• Korean Journal of Environmental Biology
• /
• v.21 no.2
• /
• pp.87-100
• /
• 2003

It is important to understand the potential human health implications of exposure to environmental chemicals that may act as hormonally active agents. It is necessary to have an understanding of how pharmaceutical and personal care products and other chemicals affect the ecosystem of our planet as well as human health. Endocrine disruption is defined as the ability of a chemical contaminating the workplace or the environment to interfere with homeostasis, development, reproduction, and/or behavior in a living organism or it's offspring. Certain classes of environmentally persistent chemicals such as polychlorinated biphenyls (PCBs), dioxins, furans, and some pesticides can adversely effect the endocrine systems of aquatic life and terrestrial wildlife. Research continues to support the theory of endocrine disruption. However, endocrine disruption researches have been applied to proteomics poorly. Proteomics can be defined as the systematic analysis of proteins for their identity, quantity and function. It could increase the predictability of early drug development and identify non-invasive biomarkers of tonicity or efficacy. Proteome analysis is most commonly accomplished by the combination of two-dimensional gel electrophoresis (2D/E) and MALDI-TOF mass spectrometry (MS) sr protein chip array and SELDI-TOF MS. Proteomics have an opportunity to play an important role in resolving the question of what role endocrine disruptors play in initiating human disease. Proteomics can also play an imfortant role in the evaluation of the risk assessment and use of risk management and risk communication tools required to address public health concerns related to notions of endocrine disruptors. Understanding the need for the proteomics and possessing knowledge of the developing biomakers used to abbess endocrine activity potential will he essential components relevant to the topic of endocrine disruptors.

• Proceedings of the Korean Society of Crop Science Conference
• /
• 2004.04a
• /
• pp.112-113
• /
• 2004