• Journal of Plant Biotechnology
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• v.37 no.2
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• pp.196-204
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• 2010

With the completion of genome sequencing of several organisms, attention has been focused to determine the function and functional network of proteins by proteome analysis. The recent techniques of proteomics have been advanced quickly so that the high-throughput and systematic analyses of cellular proteins are enabled in combination with bioinformatics tools. Furthermore, the development of proteomic techniques helps to elucidate the functions of proteins under stress or diseased condition, resulting in the discovery of biomarkers responsible for the biological stimuli. Ultimate goal of proteomics orients toward the entire proteome of life, subcellular localization, biochemical activities, and their regulation. Comprehensive analysis strategies of proteomics can be classified as three categories: (i) protein separation by 2-dimensional gel electrophoresis (2-DE) or liquid chromatography (LC), (ii) protein identification by either Edman sequencing or mass spectrometry (MS), and (iii) quanitation of proteome. Currently MS-based proteomics turns shiftly from qualitative proteome analysis by 2-DE or 2D-LC coupled with off-line matrix assisted laser desorption ionization (MALDI) and on-line electrospray ionization (ESI) MS, respectively, to quantitative proteome analysis. Some new techniques which include top-down mass spectrometry and tandem affinity purification have emerged. The in vitro quantitative proteomic techniques include differential gel electrophoresis with fluorescence dyes, protein-labeling tagging with isotope-coded affinity tag, and peptide-labeling tagging with isobaric tags for relative and absolute quantitation. In addition, stable isotope labeled amino acid can be in vivo labeled into live culture cells through metabolic incorporation. MS-based proteomics extends to detect the phosphopeptide mapping of biologically crucial protein known as one of post-translational modification. These complementary proteomic techniques contribute to not only the understanding of basic biological function but also the application to the applied sciences for industry.

• Animal Bioscience
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• v.34 no.9
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• pp.1439-1450
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• 2021

Objective: With the rapid development of proteomics sequencing and RNA sequencing technology, multi-omics analysis has become a current research hotspot. Our previous study indicated that Xinjiang brown cattle have better meat quality than Kazakh cattle. In this study, Xinjiang brown cattle and Kazakh cattle were used as the research objects. Methods: Proteome sequencing and RNA sequencing technology were used to analyze the proteome and transcriptome of the longissimus dorsi muscle of the two breeds of adult steers (n = 3). Results: In this project, 22,677 transcripts and 1,874 proteins were identified through quantitative analysis of the transcriptome and proteome. By comparing the identified transcriptome and proteome, we found that 1,737 genes were identified at both the transcriptome and proteome levels. The results of the study revealed 12 differentially expressed genes and proteins: troponin I1, crystallin alpha B, cysteine, and glycine rich protein 3, phosphotriesterase-related, myosin-binding protein H, glutathione s-transferase mu 3, myosin light chain 3, nidogen 2, dihydropyrimidinase like 2, glutamate-oxaloacetic transaminase 1, receptor accessory protein 5, and aspartoacylase. We performed functional enrichment of these differentially expressed genes and proteins. The Kyoto encyclopedia of genes and genomes results showed that these differentially expressed genes and proteins are enriched in the fatty acid degradation and histidine metabolism signaling pathways. We performed parallel reaction monitoring (PRM) verification of the differentially expressed proteins, and the PRM results were consistent with the sequencing results. Conclusion: Our study provided and identified the differentially expressed genes and proteins. In addition, identifying functional genes and proteins with important breeding value will provide genetic resources and technical support for the breeding and industrialization of new genetically modified beef cattle breeds.

• Journal of Plant Biotechnology
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• v.29 no.3
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• pp.161-170
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• 2002

For the hairy root of Panax ginseng, we have got mass spectrums from MALDI/TOF/MS analysis and Tandem mass spectrums from ESI/Q-TOF/MS analysis. While mass spectrum provides the molecular weights of peptide fragments digested by protease such as trypsin, tandem mass spectrum produces amino acid sequence of digested peptides. Each amino acid sequences can be a query sequence in BLAST search to identify proteins. For the specimens of animals or plants of which genome sequences were known, we can easily identify expressed proteins from mass spectrums with high accuracy. However, for the other specimens such as ginseng, it is difficult to identify proteins with accuracy since all the protein sequences are not available yet. Here we compared the mass spectrums and the peptide amino acid sequences with ginseng expressed sequence tag (EST) DB. The matched EST sequence was used as a query in BLAST search for protein identification. They could offer the correct protein information by the sequence alignment with EST sequences. 90% of peptide sequences of ESI/Q-TOF/MS are matched with EST sequences. Comparing 68% matches of the same sequences with the nr database of NCBI, we got more matches by 22% from ginseng EST sequence search. In case of peptide mass fingerprinting from MALDI/TOF/MS, only about 19% (9 proteins of 47 spots) among peptide matches from nr DB were correlated with ginseng EST DB. From these results, we suggest that amino acid sequencing using tandem mass spectrum analysis may be necessary for protein identification in ginseng proteome analysis.

• Proceedings of the PSK Conference
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• 2001.04a
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• pp.72-72
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• 2001

• Proceedings of the Korean Magnetic Resonance Society Conference
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• 2002.08a
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• pp.55-55
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• 2002

• Journal of the Korean Magnetic Resonance Society
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• v.20 no.1
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• pp.13-16
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• 2016

Various experiments using zebrafish have been highlighted recently in the scientific community. Because it is possible to conduct practical experiment from various neurological research to area of genetic study or toxicity experiment. However, gender difference effects are nearly not considered. If the gender differences of zebrafish are considered it is possible to obtain more accurate data. In this study, zebrafish which have different genders were compared each other with NMR-based metabolomics. The extracts of male and female zebrafish were measured by 600 MHz NMR spectrometer. Statistical analysis and target profiling were conducted. As a result, muscle related metabolites were observed in male zebrafish and nerve related metabolites were observed in female zebrafish.

• Journal of Microbiology and Biotechnology
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• v.15 no.3
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• pp.537-543
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• 2005

Subtilisin (EC 3.4.21.14) is the major extracellular alkaline serine protease of Bacillus species. Previously, we found that subtilisins did not migrate in the electrophoretic field in the Laemmili buffer system due to their high pI values (over 8.8); however, it formed a 'binding mode' at the top of the separating gel [5]. Utilizing this characteristic, four subtilisins from Bacillus sp. strains (e.g., B. subtilis 168, B. subtilis KCTC 1021, B. amyloliquefaciens KCTC 3002, and Bacillus sp. DJ-1 and DJ-4) were easily and quickly identified by an over-running electrophoretic technique with a miniscale culture supernatant (less than 20 ml) without any column chromatographic steps. Two subtilisins (DJ-l and a recombinant version) from Bacillus sp. DJ-l were characterized, and the enzymatic properties were determined by SDS-fibrin zymography and densitometric analysis. Based on this observation, the recombinant pro-subtilisin DJ-l showed the same 'binding mode,' similar to native subtilisin DJ-l. On the other hand, mature subtilisin DJ -1 without pro-peptide showed no enzymatic activity.

• 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.

• Proceedings of the Korean Society for Bioinformatics Conference
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• 2004.11a
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• pp.265-271
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• 2004

The interaction network of protein -protein plays an important role to understand the various biological functions of cells. Currently, the high -throughput experimental techniques (two -dimensional gel electrophoresis, mass spectroscopy, yeast two -hybrid assay) provide us with the vast amount of data for protein-protein interaction at the proteome scale. In order to recognize the role of each protein in their network, the efficient bioinformatical and computational analysis methods are required. We propose a systematic and mathematical method which can analyze the protein -protein interaction network rigorously and enable us to capture the biological and physical essence of a topological character and stability of protein -protein network, and sensitivity of each protein along the biological pathway of their network. We set up a Laplacian matrix of spectral graph theory based on the protein-protein network of yeast proteome, and perform an eigenvalue analysis and apply a perturbation method on a Laplacian matrix, which result in recognizing the center of protein cluster, the identity of hub proteins around it and their relative sensitivities. Identifying the topology of protein -protein network via a Laplacian matrix, we can recognize the important relation between the biological pathway of yeast proteome and the formalism of master equation. The results of our systematic and mathematical analysis agree well with the experimental findings of yeast proteome. The biological function and meaning of each protein cluster can be explained easily. Our rigorous analysis method is robust for understanding various kinds of networks whether they are biological, social, economical...etc

• Journal of Microbiology and Biotechnology
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• v.15 no.1
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• pp.72-79
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• 2005

A new Bacillus peptidase, bacillopeptidase DJ-2 (bpDJ-2), with molecular mass of 42 kDa and isoelectric point (pI) of 3.5- 3.7, was purified to homogeneity from Bacillus sp. DJ-2 isolated from Doen-Jang, a traditional Korean soybean fermented food. The enzyme was identified as an extracellular serine fibrinolytic protease. The optimal conditions for the reaction were pH 9.0 and $60^{\circ}C$. The first 18 amino acid residues of the N-terminal amino acid sequence of bpDJ-2 were TDGVEWNVDQIDAPKAW, which is identical to that of bacillopeptidase F (bpf). However, based on their Nterminal amino acid sequence, molecular size, and pI, it is different from that of bpf and extracellular 90 kDa. The whole (2,541 bp, full-bpDJ-2) and mature (1,956 bp, mature-bpDJ-2) genes were cloned, and its nucleotide sequence and deduced amino acid sequence were determined. The expressed proteins, full-bpDJ-2 and mature-bpDJ-2, were detected on SDSPAGE at expected sizes of 92 and 68 kDa, respectively.