• Journal of Microbiology and Biotechnology
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• v.11 no.6
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• pp.1111-1114
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• 2001

An extracellular fibrinolytic-enzyme-producing bacterium was isolated from Doen-Jang, a Korean traditional fermented flood, and identified as Bacillus sp. DJ based on its morphology and cellular fatty acid composition. The total extracellular fibrinase (EF) from Bacillus sp. DJ was analyzed using three fibrin zymographic techniques, SDS-fibrin zymography (SDS-FZ), isoelectrofocucing-fibrin zymographs(IEF-FZ), and a two-dimensional SDS-fibrin zymographic analysis (2D SDS-FZ). As a result, the EP map of Bacillus sp. DJ was established. The results suggest that the 2D SDS-FZ method will be a useful tool for the proteomic approach for many other bacterial pretenses.

• Journal of Microbiology and Biotechnology
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• v.26 no.6
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• pp.1124-1131
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• 2016

In this study, the global proteome of the IPEC-J2 cell line was evaluated using ultra-high performance liquid chromatography coupled to a quadrupole Q Exactive^™ Orbitrap mass spectrometer. Proteins were isolated from highly confluent IPEC-J2 cells in biological replicates and analyzed by label-free mass spectrometry prior to matching against a porcine genomic dataset. The results identified 1,517 proteins, accounting for 7.35% of all genes in the porcine genome. The highly abundant proteins detected, such as actin, annexin A2, and AHNAK nucleoprotein, are involved in structural integrity, signaling mechanisms, and cellular homeostasis. The high abundance of heat shock proteins indicated their significance in cellular defenses, barrier function, and gut homeostasis. Pathway analysis and annotation using the Kyoto Encyclopedia of Genes and Genomes database resulted in a putative protein network map of the regulation of immunological responses and structural integrity in the cell line. The comprehensive proteome analysis of IPEC-J2 cells provides fundamental insights into overall protein expression and pathway dynamics that might be useful in cell adhesion studies and immunological applications.

• Reproductive and Developmental Biology
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• v.37 no.4
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• pp.255-261
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• 2013

To profile the proteome in porcine plasma, blood samples were collected from adult male barrows and those plasma were retrieved. For the depletion or pre-fractionation of high-abundance proteins, plasma samples were treated with commercial kits. Then, protein profiling was initiated using one and two-dimensional electrophoresis. Proteins were spotted and then identified by MALDI-TOF-TOF and LC-MS-MS. In the results, more than forty six proteins were identified and the reference map was constructed. The pre-treatment for the removal of high-abundance proteins caused the changes in 2-DE images and some of the proteins were newly uncovered after the most of high abundant proteins were removed. However, it is expected for further steps necessary to identify more low-abundance proteins that may contain potential bio-markers.

• Preventive Nutrition and Food Science
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• v.7 no.4
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• pp.432-436
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• 2002

A proteomic map of Hanwoo loin was obtained using 2-D SDS-PAGE and mass spectrometric analysis: 27 bovine proteins plus 2 proteins having similarities to other mammal proteins out of 52 proteins analyzed. The identified proteins consisted of 50 % basic house keeping proteins involved in metabolism, 30% muscle proteins, and other miscellaneous proteins. Many proteins on the 2-D gel with different molecular weights and isoelectric points were identified as same proteins due to posttranslational modification. As many of the identified house keeping proteins showed the high sequence similarities to other mammal equivalent proteins, searching the mammal databases could confirm the annotation. The preliminary identification of the proteome in bovine loin tissue could reveal the functions of proteins at over 50 % of chance with high fidelities. Using the established loin proteome map, proteomic difference between 1 yr and 2 yr Hanwoo loin tissues were compared on 2D gel. Regardless of the difficulty normalizing protein concentrations and sample-to-sample variations, three unidentified proteins and myoglobin were selected as up-regulated proteins during the fat deposition period. This study contributes to a move thorough and holistic understanding of beef meat, helping to build the basis for future identification of new markers for good quality meat.

• Proceedings of the Korean Society of Life Science Conference
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• 2002.12a
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• pp.20-47
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• 2002

Two-dimensional gel electrophoresis (2-DE) maps for human stomach tissue proteins have been prepared by displaying the protein components of the tissue by 2-DE and identifying them using mass spectrometry. This will enable us to present an overview of the proteins expressed In human stomach tissues and lays the basis for subsequent comparative proteome analysis studies with gastric diseases such as gastric cancer. In this study, 2-DE maps of soluble fraction proteins were prepared on two gel images with partially overlapping pH ranges of 4-7 and 6-9. On the gels covering pH 4-7 and pH 6-9, about 900 and 600 protein spots were detected on silver staining, respectively. For protein identification, proteins spots on micropreparative gels stained by colloidal Coomassie Brilliant Blue G-250 were excised, digested in-gel with trypsln, and analyzed by peptide mass fingerprinting with delayed extraction-matrix assisted laser dosorption/ionization-mass spectrometry (DE-MALDI-MS). In all, 243 protein spots (168 spots in acidic map and 75 spots in basic map) corresponding to 136 different proteins were identified. Besides these principal maps, maps of lower resolution, i.e. overview maps (displayed on pH 3-10 gels) for total homogenate and soluble fraction, are also presented with some identifications mapped on them. Based on the 2-DE maps presented in this study, a 2-DE database for human stomach tissue proteome has been constructed and available at http://proteome.gsnu.ac.kr/DB/2DPAGE/Stomach/. The 2-DE maps and the database resulting from this study will serve important resources for subsequent proteomic studies for analyzing the normal protein variability in healthy tissues and specific protein variations in diseased tissues.

• Journal of Microbiology and Biotechnology
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• v.16 no.10
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• pp.1499-1512
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• 2006

Based on the first 2D reference map of the fission yeast Schizosaccharomyces pombe protein reported previously, we expanded and updated the map using narrower pI ranges. In this paper, 240 protein spots were identified on our reference map. In the pI 4-7 range, 144 spots corresponding to 86 different proteins were identified. In the pI 6-9 range, 43 spots corresponding to 35 different proteins were identified. Fifty-three new spots corresponding to 39 different proteins were further identified in the pI 5-6 range.

• KSBB Journal
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• v.20 no.2 s.91
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• pp.71-75
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• 2005

Alignment of 2D-gel images of biological samples can visualize the difference of expression profiles and also inform us candidates of protein spots to be further analyzed. However, comparison of two proteome images between the case and control does not always successfully identify differentially expressed proteins because of sample-to-sample variation, poor reproducibility of 2D-gel electrophoresis and inconsistent electrophoresis conditions. Multiple alignment of 2D-gel image must be preceded before visualizing the difference of expression profiles or clustering proteome images. Thus, a software for the alignment of multiple 2D-Gel images and their clustering was developed by applying various algorithms and statistical methods. Microsoft Visual C++ was used to implement the algorithms in this work. Multiresoultion-multilevel algorithm was found out to be suitable for fast alignment and for largely distorted images. Clustering of 10 different proteome images of Fetal Alcohol Syndrome, was carried out by implementing a k-means algorithm and it gave a phylogenetic tree of proteomic distance map of the samples. However, the phylogenetic tree does not discriminate the case and control. The whole image clustering shows that the proteomic distance is more dependent to age and sex.

• Proceedings of the Korea Society of Poultry Science Conference
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• 2005.11a
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• pp.66-67
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• 2005

The domestic chicken (Gallus gallus) is an important model for research in developmental biology because its embryonic development occurs in ovo. To examine the mechanism of embryonic germ cell development, we constructed proteome map of gonadal primordial germ cells (gPGC) from chicken embryonic gonads. Embryonic gonads were collected from 500 embryos at 6 day of incubation, and the gPGC were cultured in vitro until colony formed. After 7-10 days in cultured gPGC colonies were separated from gonadal stroma cells (GSCs). Soluble extracts of cultured gPGCs were then fractionated by two-dimensional gel electrophoresis (pH 4-7). A number of protein spots, including those that displayed significant expression levels, were then identified by use of matrix-assisted laser desorption/ionization-time of flight (MALDI-TOF) mass spectrometry and LC-MS/MS. Of the 89 gPGC spots examined, 50 yielded mass spectra that matched avian proteins found in on-line databases. Proteome map of thistype will serve as an important reference for germ cell biology and transgenic research.

• 한국생물공학회:학술대회논문집
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• 2003.10a
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• pp.746-749
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• 2003

Alignment of 2D-gel images of biological samples can visualize the difference of expression profiles and also inform us candidates of protein spots to be further analyzed. However, comparison of two proteome images between case and control does not always successfully identify differentially expressed proteins due to sample-to-sample variation. Because of poor reproducibility of 2D-gel electrophoresis, sample-by-sample variations and inconsistent electrophoresis conditions, multiple number of 2D-gel image must be processed to align each other to visualize the difference of expression profiles and to deduce the protein spots differentially expressed with reliability. Alignment of multiple 2D-Gel images and their clustering were carried out by applying various algorithms and statistical methods. In order to align multiple images, multiresolution-multilevel algorithm was found out to be suitable for fast alignment and for distorted images. Clustering of 12 different images implementing a k-means algorithm gives a phylogenetic tree of distance map of the proteomes. Microsoft Visual C++ was used to implement the algorithms in this work.

• Journal of Marine Bioscience and Biotechnology
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• v.2 no.1
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• pp.68-72
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• 2007

Flounder is one of the major aquacultured fish and of an economically important item in Korean fisheries. Recently, there are trends of research worldwide that aim to analyze and characterize a whole genome or a whole proteome of interesting species. The data are utilized for the understanding and development of preventive and curative technologies for the serious diseases. However, there are very limited information of proteome for marine organisms, we optimized first the conditions for two-dimensional polyacrylamide gel electrophoresis (2D-PAGE) with serum form a marine fish, flounder (Paralichthys olivaceus). A pre-treatment of serum and an optimization of protein concentration analyzed were surveyed for enhancing the separation for proteins. A statistical analysis was performed on the overall 1,820 protein spots to overcome the variability among individual fishes.