• Reproductive and Developmental Biology
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• v.33 no.4
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• pp.243-248
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• 2009

To examine the differential expression of proteins during the cycling (70~80% confluences) and G0/G1 (full confluences) phases in porcine fetal fibroblast cells, we used a global proteomics approach by 2-D gel electrophoresis (2-DE) and MALDI-TOF-MS. Cycling cell were harvested at approximately 70% to 80% confluent state while cells in G0/G1 phase were recovered after maintenance of a confluent state for 48 hr. Cellular proteins with isoelectric points ranging between 3.0~10.0, were analyzed by 2-DE with 2 replicates of each sample. A total of approximately 700 spots were detected by 2.D gels stained with Coomassie brilliant blue. On comparing the cell samples obtained from the cycling and G0/G1 phases, a total of 13 spots were identified as differentially expressed proteins, of which 8 spots were up-regulated in the cycling cell and 5 were up-regulated in the G0/G1 phase. Differentially expressed proteins included K3 keratin, similar to serine protease 23 precursor, protein disulfide-isomerase A3, microsomal protease ER-60, alpha-actinin-2, and heat-shock protein 90 beta. The identified proteins were grouped on the basis of their basic functions such as molecular binding, catabolic, cell growth, and transcription regulatory proteins. Our results show expression profiles of key proteins in porcine fetal fibroblast cells during different cell cycle status.

• Journal of Life Science
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• v.15 no.3 s.70
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• pp.427-433
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• 2005

With the completely discovery of the Drosophila genome sequence, the next great challenge is to extract its biological information by systematic expression and to perform functional analysis of the gene. Here we reported a proteome analysis of D. melanogaster with two-dimensional electrophoresis (2-DE) and matrix-assisted laser desorption ionization time-of-flight mass spectrometer (MALDI-TOF-MS). The cell extracts of D. melanogaster, $200{\mu}g$ were resolved to more than 400 silver-stained spots by 2-DE. The most abundant protein spots were ranged from 4.0-7.5 of pI and from 15-90 kDa of molecular weight. The excised spots were destained and in-gel digested by trypsin. The masses of the resulting peptide mixtures were measured by MALDI-TOF-MS. Identified proteins were compared with measured peptide mass and a dynamic peptide searching database which is accessible via the internet. The results revealed that identified proteins were produced by 59 genes derived from 65 protein spots.

• Reproductive and Developmental Biology
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• v.36 no.2
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• pp.121-131
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• 2012

After spermatogenesis, spermatozoa come in contact with fluids in the epididymis where they mature. During ejaculation, spermatozoa are mixed with secretions from prostate gland, vesicular glands, and bulbourethral glands. During natural mating, seminal plasma is deposited in the female reproductive tract eliciting various physiological and immunological responses. With the advances in proteomics, the components of seminal plasma have been identified and the information may be valuable in identifying markers for fertility. Components of seminal plasma that affect fertility have been discovered and the mechanism of action of these factors has been determined. The objective of this study was to determine the specific seminal plasma proteins from Korean native cattle, Hanwoo, and Korean native brindle cattle (KNBC) with the long term goal of improving fertilization rate. After SDS-PAGE and 2-dimensional gel electrophoresis, proteins were identified by Q-ToF analysis. They include plasma serine protease inhibitor precursor and platelet-activating factor acetylhydrolase after SDS-PAGE. Number and density of the spots in 2-dimensional gels were higher in KNBC than Hanwoo. Proteins identified from the paired spots of both breeds include chain A, bull seminal plasma PDC-109 Fibronectin Type II module, BSP-30 kDa precursor, and Spermadhesin Z13 or its precursor. Interestingly, some proteins were identified from multiple spots. The functional differences of these diverse forms of the proteins may require further studies. With their previously reported roles in sperm capacitation by these proteins, the studies on the mechanism of action, ligand interaction and the variation in the genome may help improving fertility in cattle.

• 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.

• Journal of Digital Contents Society
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• v.11 no.1
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• pp.99-104
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• 2010

Numerous bio-digital contents have been produced by new technology using biochip and others for analyzing early chemical-induced genes. These contents have little meaning by themselves, and so they should be modified and extracted after consideration of biological meaning. These include genomics, transcriptomics, protenomics, metabolomics, which combined into omics. Omics tools could be applied into toxicology, forming a new field of toxicogenomics. It is possible that approach of toxicogenomics can estimate toxicity more quickly and accurately by analyzing gene/protein/metabolite profiles. These approaches should help not only to discover highly sensitive and predictive biomarkers but also to understand molecular mechanism(s) of toxicity, based on the development of analysing technology. Furthermore, it is important that bio-digital contents should be obtained from specific cells having biological events more than from whole cells. Taken together, many bio-digital contents should be analyzed by careful calculating algorism under well-designed experimental protocols, network analysis using computational algorism and related profound databases.

• Korean Journal of Microbiology
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• v.46 no.3
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• pp.229-232
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• 2010

Enolase is one of the glycolytic enzymes, which are involved in a central energy metabolism present in nearly all organisms. In Escherichia coli, enolase constitutes RNA degradosome with RNase E, PNPase and RNA helicase, which are involved in most mRNA degradation and RNA processing. Recently, it has been reported that RNase G, an RNase E homolog, degrades eno mRNA. To examine a functional role of RNase G in enolase expression which is known to be up-regulated under microaerobic condition, we carried out experiments. Here, we report that expression levels of enolase and RNase G are not correlated under microaerobic condition. Based on this observation, we suggest the existence of an unknown factor(s) which regulate the activity of RNase G or enolase mRNA under microaerobic conditions.

• Korean Journal of Veterinary Research
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• v.45 no.2
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• pp.155-161
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• 2005

Proteomics is a useful approach to know protein expression, post-translational modification and protein function. We investigated the protein expression pattern and identity in chickens fed with the tissue culture medium waste after harvest of Korean wild ginseng (TCM-KWG) (Panax ginseng). Two groups (n=60/group) of day old broiler chickens were administered with 0 (control) and 0.8% (treatment) TCM-KWG through drinking water. After 5 weeks, we examined the protein expression pattern of fibularis longus and superficial pectoral muscle by Two-dimensional electrophoresis analysis. Interestingly, TCM-KWG treatment significantly increased five spot's density, and markedly reduced five spot's density in the muscles. We identified 10 proteins (desmin, myosin light chain 1, heat shock 25 kDa protein, collapsin response mediator protein-2A, alpha enolase, vimentin, actin alpha 1, my023 protein, pyruvate kinase and troponin T) by the matrix-assisted laser desorption ionization time of flight (MALDI-TOF).

• The Korean Journal of Physiology and Pharmacology
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• v.14 no.4
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• pp.205-212
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• 2010

Endometritis is one of the primary reasons for reproductive failure. In order to investigate endometritis-associated marker proteins, proteomic analysis was performed on bovine endometrium with endometritis. In bovine endometritis, desmin, $\alpha$-actin-2, heat-shock protein (HSP) 27, peroxiredoxin-6, luteinizing hormone receptor isoform 1, collectin-43 precursor, deoxyribonuclease-I (DNase-I), and MHC class I heavy chain (MHC-Ih) were up-regulated. In contrast, transferrin, interleukin-2 precursor, hemoglobin $\beta$ subunit, and potassium channel tetramerisation domaincontaining 11 (KCTD11) were down-regulated in comparison to normal endometrium. The proteomic results were validated by semiquantitative-PCR and immunoblot analysis. The mRNA levels of desmin, transferrin, $\alpha$-actin-2, HSP27, KCTD11, and MHC-Ih were up-regulated by over 1.5-fold, and showed a pattern similar to their proteomic profiles. Desmin and $\alpha$-actin-2 protein showed positive correlations between proteomic analysis and immunoblot analysis. These results suggest that desmin and $\alpha$-actin-2 may play important roles in endometritis-related function, and could be useful markers for the diagnosis of bovine endometritis.

• Genomics & Informatics
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• v.2 no.4
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• pp.191-194
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• 2004

Exponentially increasing biopathway data in recent years provide us with means to elucidate the large-scale modular organization of the cell. Given the existing information on metabolic and regulatory networks, inferring biopathway information through scientific reasoning or data mining of large scale array data or proteomics data get great attention. Naturally, there is a need for a user-friendly system allowing the user to combine large and diverse pathway data sets from different resources. We built a data warehouse - BIOWAY - for analyzing and visualizing biological pathways, by integrating and customizing resources. We have collected many different types of data in regards to pathway information, including metabolic pathway data from KEGG/LIGAND, signaling pathway data from BIND, and protein information data from SWISS-PROT. In addition to providing general data retrieval mechanism, a successful user interface should provide convenient visualization mechanism since biological pathway data is difficult to conceptualize without graphical representations. Still, the visual interface in the previous systems, at best, uses static images only for the specific categorized pathways. Thus, it is difficult to cope with more complex pathways. In the BIOWAY system, all the pathway data can be displayed in computer generated graphical networks, rather than manually drawn image data. Furthermore, it is designed in such a way that all the pathway maps can be expanded or shrinked, by introducing the concept of super node. A subtle graphic layout algorithm has been applied to best display the pathway data.

• BMB Reports
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• v.41 no.8
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• pp.597-603
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• 2008

Atopic dermatitis (AD) is a chronic inflammatory skin disease that induces changes in various inflammatory skin cells. The prevalence of AD is as high as 18% in some regions of the world, and is steadily rising. However, the pathophysiology of AD is poorly understood. To identify the proteins involved in AD pathogenesis, a comparative proteomic analysis of protein expression in peripheral blood mononuclear cells isolated from AD patients and healthy donors was conducted. Significant changes were observed in the expressions of fourteen proteins, including the vinculin, PITPNB, and Filamin A proteins. Among the proteins, $\alpha$-SNAP and FLNA decreased significantly, and PITPNB increased significantly in AD patients compared with control subjects; these findings were further confirmed by real-time PCR and Western blot analysis. The comparative proteome data may provide a valuable clue to further understand AD pathogenesis, and several differentially regulated proteins may be used as biomarkers for diagnosis and as target proteins for the development of novel drugs.