• 제목/요약/키워드: Metabolic pathway

검색결과 495건 처리시간 0.029초

전사체와 대사물질 구조분석을 통한 Novosphingobium pentaromativorans US6-1의 dibenzofuran 분해 경로 해석 (Investigation of biodegradation pathway of dibenzofuran by Novosphingobium pentaromativorans US6-1 via transcriptomic and mass-spectrometric analysis)

  • 나혜윤;권개경
    • 미생물학회지
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    • 제54권1호
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    • pp.46-52
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    • 2018
  • 다환 방향족 탄화수소(polycyclic aromatic hydrocarbon, PAH) 우수 분해균주인 Novosphingobium pentaromativorans US6-1의 dibenzofuran (DBF) 분해경로를 밝히기 위하여 중간대사물질 분석과 전사체 분석을 진행하였다. GC/MS로 중간대사물질을 분석한 결과, 3(2H)-벤조퓨라논이 검출되었는데 이 화합물은 측면 이산소화에 의해 생성된 중간대사산물들의 기본 골격이 되는 물질로써 균주 US6-1에 의한 DBF의 분해가 측면 이산소화로 진행될 가능성을 시사한다. RNA-Seq 분석 결과, 균주 US6-1이 DBF에 노출되었을 때 발현되는 유전자들의 대부분이 lateral dioxygenation과 관련이 있다는 것을 확인하였다. 이상의 결과로부터N. pentaromativorans US6-1에 의해 일어나는 측면 이산소화를통한 DBF 분해경로와 관련 유전자들을 제시하였다.

Mass production and application of activation tagged hairy root lines for functional genomic of secondary metabolism in ginseng

  • Choi, Dong-Woog;Chung, Hwa-Jee;Ko, Suk-Min;In, Dong-Soo;Song, Ji-Sook;Woo, Sung-Sick;Liu, Jang R.
    • Journal of Plant Biotechnology
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    • 제36권3호
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    • pp.294-300
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    • 2009
  • Activation tagging that uses T-DNA vectors containing multimerized transcriptional enhancers from the cauliflower mosaic virus (CaMV) 35S gene is a powerful tool to determine gene function in plants. This approach has been successfully applied in screening various types of mutations and cloning the corresponding genes. We generated an activation tagged hairy root pool of ginseng (Panax ginseng C.A. Meyer) in an attempt to isolate genes involved in the biosynthetic pathway of ginsenoside (triterpene saponin), which is known as the major active ingredient of the root. Quantitative and qualitative variation of ginsenoside in activation tagged hairy root lines were profiled using LC/MS. Metabolic profiling data enabled selection of a specific hairy root line which accumulated ginsenoside at a higher level than other lines. The relative expression level of several genes of triterpene biosynthetic pathway in the selected hairy root line was determined by real time RT-PCR. Overall results suggest that the activation tagged ginseng hairy root system described in this study would be useful in isolating genes involved in a complex metabolic pathway from genetically intractable plant species by metabolic profiling.

Quantitative Proteogenomics and the Reconstruction of the Metabolic Pathway in Lactobacillus mucosae LM1

  • Pajarillo, Edward Alain B.;Kim, Sang Hoon;Lee, Ji-Yoon;Valeriano, Valerie Diane V.;Kang, Dae-Kyung
    • 한국축산식품학회지
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    • 제35권5호
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    • pp.692-702
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    • 2015
  • Lactobacillus mucosae is a natural resident of the gastrointestinal tract of humans and animals and a potential probiotic bacterium. To understand the global protein expression profile and metabolic features of L. mucosae LM1 in the early stationary phase, the QExactiveTM Hybrid Quadrupole-Orbitrap Mass Spectrometer was used. Characterization of the intracellular proteome identified 842 proteins, accounting for approximately 35% of the 2,404 protein-coding sequences in the complete genome of L. mucosae LM1. Proteome quantification using QExactiveTM Orbitrap MS detected 19 highly abundant proteins (> 1.0% of the intracellular proteome), including CysK (cysteine synthase, 5.41%) and EF-Tu (elongation factor Tu, 4.91%), which are involved in cell survival against environmental stresses. Metabolic pathway annotation of LM1 proteome using the Kyoto Encyclopedia of Genes and Genomes (KEGG) database showed that half of the proteins expressed are important for basic metabolic and biosynthetic processes, and the other half might be structurally important or involved in basic cellular processes. In addition, glycogen biosynthesis was activated in the early stationary phase, which is important for energy storage and maintenance. The proteogenomic data presented in this study provide a suitable reference to understand the protein expression pattern of lactobacilli in standard conditions

Metabolic Engineering of Isoflavone Synthesis in Soybean and Non-legumes

  • Jung, Woo-Suk
    • 한국식물생명공학회:학술대회논문집
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    • 한국식물생명공학회 2003년도 식물바이오벤처 페스티발
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    • pp.77-84
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    • 2003
  • Metabolic engineering for production of isoflavones in non-legume plants could distribute the health benefits of these phytoe-strogens in more widely-consumed grains. We investigate the ability of the heterologous isoflavone synthase enzyme to interact with the endogenous phenylpropanoid pathway. Overall, results provide possibility of production of isoflavonoids in several plant tissue systems including soybean and non-legumes. In tissue that undergoes naturally enhanced synthesis of anthocyanins, genistein production was enhanced. In a monocot cell system, introduced expression of a transcription factor regulating genes of the antho-cyanin pathway was effective in conferring the ability produce genistein in the presence of the isoflavone synthase gene. However, in this case the intermediate accumulated to high levels indicating an inefficiency in its conversion. Introduction of a third gene, chalcone reductase, provided the ability to synthesize an additional substrate of isoflavone synthase resulting in production of the isoflavone daidzein. These research efforts provide insight into requirements for metabolic engineering for isoflavone production in non-legume dicot and monocot tissues.

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Parsing KEGG XML Files to Find Shared and Duplicate Compounds Contained in Metabolic Pathway Maps: A Graph-Theoretical Perspective

  • Kang, Sung-Hui;Jang, Myung-Ha;Whang, Ji-Young;Park, Hyun-Seok
    • Genomics & Informatics
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    • 제6권3호
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    • pp.147-152
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    • 2008
  • The basic graph layout technique, one of many visualization techniques, deals with the problem of positioning vertices in a way to maximize some measure of desirability in a graph. The technique is becoming critically important for further development of the field of systems biology. However, applying the appropriate automatic graph layout techniques to the genomic scale flow of metabolism requires an understanding of the characteristics and patterns of duplicate and shared vertices, which is crucial for bioinformatics software developers. In this paper, we provide the results of parsing KEGG XML files from a graph-theoretical perspective, for future research in the area of automatic layout techniques in biological pathway domains.

닭 특이 대사 경로 재확립 (Reconstruction of Metabolic Pathway for the Chicken Genome)

  • 김운수;이세영;박혜선;백운기;이준헌;서성원
    • 한국가금학회지
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    • 제37권3호
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    • pp.275-282
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    • 2010
  • 닭의 대사 생리에 대한 연구는 산업적 가치 및 생물학, 의학적으로도 매우 중요하다. 닭의 유전체 염기서열 분석 결과는 2004년에 처음 발표되었고, 이러한 유전체 정보를 바탕으로 유전형과 표현형의 상관관계를 분석하는 연구가 필요하다. 따라서 본 연구는 닭 유전체 정보를 바탕으로 대사 경로를 재확립하고, 닭 특이 대사 경로 유전체 데이터베이스를 구축하였다. 이를 위해 Perl 언어를 기반으로 개발된 자동 파이프라인(pipeline)을 이용하여 여러 생물정보 데이터베이스에 산재해 있는 닭 유전체에 관한 정보를 통합한 닭 특이 통합 데이터베이스를 구축하였다. 또한, 구축된 닭 특이 통합 데이터베이스를기반으로PathoLogic 알고리즘을구현한Pathway Tools 소프트웨어를 이용하여 닭 특이 대사 경로를 재확립하였다. 결과적으로, 닭 유전체 Gallus_gallus-2.1에서 2,709개의 효소, 71개의 운반체(transporter)와 1,698개의 효소 반응, 8개의 운반 반응(transport reaction)이 도출되었다. 이를 통해 총 212개의 대사 경로가 재확립되었고, 1,360개의 화합물(compound)이 닭 특이 대사 데이터베이스에 포함되었다. 다른 종(사람, 생쥐, 소)과의 비교 분석을 통해 중요한 대사 경로가 닭 유전체에 보존되어 있음을 보였다. 또한, 닭 유전체의 assembly와 annotation의 질을 높이는 노력과 닭 및 조류에서 유전자 기능 및 대사 경로에 대한 연구가 필요한 것으로 나타났다. 결론적으로, 본 연구에서 재확립된 닭의 대사 경로 및 데이터베이스는 닭 및 조류의 대사 연구뿐만 아니라 포유동물 및 미생물과의 비교 생물학적 접근을 통한 의학 및 생물학적 연구에 활용될 것으로 기대된다.

The BIOWAY System: A Data Warehouse for Generalized Representation & Visualization of Bio-Pathways

  • Kim, Min Kyung;Seo, Young Joo;Lee, Sang Ho;Song, Eun Ha;Lee, Ho Il;Ahn, Chang Shin;Choi, Eun Chung;Park, Hyun Seok
    • Genomics & Informatics
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    • 제2권4호
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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.

Similarities and Distinctions in the Effects of Metformin and Carbon Monoxide in Immunometabolism

  • Park, Jeongmin;Joe, Yeonsoo;Ryter, Stefan W.;Surh, Young-Joon;Chung, Hun Taeg
    • Molecules and Cells
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    • 제42권4호
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    • pp.292-300
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    • 2019
  • Immunometabolism, defined as the interaction of metabolic pathways with the immune system, influences the pathogenesis of metabolic diseases. Metformin and carbon monoxide (CO) are two pharmacological agents known to ameliorate metabolic disorders. There are notable similarities and differences in the reported effects of metformin and CO on immunometabolism. Metformin, an anti-diabetes drug, has positive effects on metabolism and can exert anti-inflammatory and anti-cancer effects via adenosine monophosphate-activated protein kinase (AMPK)-dependent and AMPK-independent mechanisms. CO, an endogenous product of heme oxygenase-1 (HO-1), can exert anti-inflammatory and antioxidant effects at low concentration. CO can confer cytoprotection in metabolic disorders and cancer via selective activation of the protein kinase R-like endoplasmic reticulum (ER) kinase (PERK) pathway. Both metformin and CO can induce mitochondrial stress to produce a mild elevation of mitochondrial ROS (mtROS) by distinct mechanisms. Metformin inhibits complex I of the mitochondrial electron transport chain (ETC), while CO inhibits ETC complex IV. Both metformin and CO can differentially induce several protein factors, including fibroblast growth factor 21 (FGF21) and sestrin2 (SESN2), which maintain metabolic homeostasis; nuclear factor erythroid 2-related factor 2 (Nrf2), a master regulator of the antioxidant response; and REDD1, which exhibits an anticancer effect. However, metformin and CO regulate these effects via different pathways. Metformin stimulates p53- and AMPK-dependent pathways whereas CO can selectively trigger the PERK-dependent signaling pathway. Although further studies are needed to identify the mechanistic differences between metformin and CO, pharmacological application of these agents may represent useful strategies to ameliorate metabolic diseases associated with altered immunometabolism.

Inhibitors of AKT Signaling Pathway and their Application

  • WONG, Chin Piow
    • 한국자원식물학회:학술대회논문집
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    • 한국자원식물학회 2019년도 춘계학술대회
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    • pp.33-33
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    • 2019
  • The AKT signaling pathway is a highly regulated cell signaling system that forms a network with other cell signaling pathways. Hence, the AKT signaling pathway mediates several important cellular functions that include cell survival, proliferation, cell migration, and et cetera. Irregularities that led overactive AKT signaling have been linked to many diseases such as cancer and metabolic-associated diseases. Hence, modulating the overactive AKT signaling pathway via inhibitor is a tantalizing prospect for treatment of cancer and metabolic-associated diseases. Two inhibitors of the AKT signaling pathway will be presented in this symposium: 1) Bisleuconothine A (BisA), a bisindole alkaloid that inhibit autophagy and 2) Ceramicine B (CerB), a limonoid that inhibit adipogenesis. The first topic is on a bisindole alkaloid, BisA and its mechanism in inducing autophagosome formation in lung cancer cell line, A549.(1) Since most autophagy inducing agents generally induce apoptosis, we found that BisA does not induce apoptosis even in high dose. BisA up-regulation of LC3 lipidation is achieved through mTOR inactivation. The phosphorylation of PRAS40, a mTOR repressor was suppressed by BisA. This observation suggested that BisA inactivates mTOR via suppression of PRAS40 phosphorylation. Interestingly, the phosphorylation of AKT, an upstream regulator of PRAS40 phosphorylation was also down-regulated by BisA. These findings suggested that Bis-A induces autophagosomes formation by interfering with the AKT-mTOR signaling pathway. The second topic is on CerB and its mechanism in inhibiting adipogenesis in preadipocytes cell line, MC3T3-G2/PA6.(2,3) CerB inhibits the phosphorylation of protein kinase B (AKT) at the Thr308 position but not the Ser473. Consequently, the phosphorylation of FOXO3 which is located downstream of AKT is also inhibited. Considering that FOXO3 is an important regulator of PPARγ which is a key factor in adipogenesis, CerB may inhibit adipogenesis via the AKT-FOXO3 signaling pathway. Taken together, both BisA and CerB highlighted the potential of AKT signaling pathway modulation as an approach to induce autophagy and inhibit the formation of fat cells, respectively.

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Computational Identification of Essential Enzymes as Potential Drug Targets in Shigella flexneri Pathogenesis Using Metabolic Pathway Analysis and Epitope Mapping

  • Narad, Priyanka;Himanshu, Himanshu;Bansal, Hina
    • Journal of Microbiology and Biotechnology
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    • 제31권4호
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    • pp.621-629
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    • 2021
  • Shigella flexneri is a facultative intracellular pathogen that causes bacillary dysentery in humans. Infection with S. flexneri can result in more than a million deaths yearly and most of the victims are children in developing countries. Therefore, identifying novel and unique drug targets against this pathogen is instrumental to overcome the problem of drug resistance to the antibiotics given to patients as the current therapy. In this study, a comparative analysis of the metabolic pathways of the host and pathogen was performed to identify this pathogen's essential enzymes for the survival and propose potential drug targets. First, we extracted the metabolic pathways of the host, Homo sapiens, and pathogen, S. flexneri, from the KEGG database. Next, we manually compared the pathways to categorize those that were exclusive to the pathogen. Further, all enzymes for the 26 unique pathways were extracted and submitted to the Geptop tool to identify essential enzymes for further screening in determining the feasibility of the therapeutic targets that were predicted and analyzed using PPI network analysis, subcellular localization, druggability testing, gene ontology and epitope mapping. Using these various criteria, we narrowed it down to prioritize 5 novel drug targets against S. flexneri and one vaccine drug targets against all strains of Shigella. Hence, we suggest the identified enzymes as the best putative drug targets for the effective treatment of S. flexneri.