• Title/Summary/Keyword: KEGG Pathway

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Algorithm for extracting signaling pathways based on Protein-Protein Interaction and Protein location Information (Protein-Protein Interaction 에 세포 내 위치 정보를 활용한 단백질 신호전달 경로 추출 알고리즘 연구)

  • Jo, Mi-Kyung;Kim, Min-Kyung;Park, Hyun-Seok
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2009.01a
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    • pp.77-84
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    • 2009
  • Intracellular signal transduction is achieved by protein-protein interaction. In this paper, we suggest performance algorithm based on Yeast protein-protein interaction and protein location information. We compare if pathways predicted with high valued weights indicate similar tendency with pathways provided in KEGG.

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Exploration of Molecular Mechanisms of Diffuse Large B-cell Lymphoma Development Using a Microarray

  • Zhang, Zong-Xin;Shen, Cui-Fen;Zou, Wei-Hua;Shou, Li-Hong;Zhang, Hui-Ying;Jin, Wen-Jun
    • Asian Pacific Journal of Cancer Prevention
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    • v.14 no.3
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    • pp.1731-1735
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    • 2013
  • Objective: We aimed to identify key genes, pathways and function modules in the development of diffuse large B-cell lymphoma (DLBCL) with microarray data and interaction network analysis. Methods: Microarray data sets for 7 DLBCL samples and 7 normal controls was downloaded from the Gene Expression Omnibus (GEO) database and differentially expressed genes (DEGs) were identified with Student's t-test. KEGG functional enrichment analysis was performed to uncover their biological functions. Three global networks were established for immune system, signaling molecules and interactions and cancer genes. The DEGs were compared with the networks to observe their distributions and determine important key genes, pathways and modules. Results: A total of 945 DEGs were obtained, 272 up-regulated and 673 down-regulated. KEGG analysis revealed that two groups of pathways were significantly enriched: immune function and signaling molecules and interactions. Following interaction network analysis further confirmed the association of DEGs in immune system, signaling molecules and interactions and cancer genes. Conclusions: Our study could systemically characterize gene expression changes in DLBCL with microarray technology. A range of key genes, pathways and function modules were revealed. Utility in diagnosis and treatment may be expected with further focused research.

High performance Algorithm for extracting and redicting MAP Kinase signaling pathways based on S. cerevisiae rotein-Protein Interaction and Protein location Information (S. cerevisiae 단백질간 상호작용과 세포 내 위치 정보를 활용한 MAP Kinase 신호전달경로추출 및 예측을 위한 고성능 알고리즘 연구)

  • Jo, Mi-Kyung;Kim, Min-Kyung;Park, Hyun-Seok
    • Journal of the Korea Society of Computer and Information
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    • v.14 no.3
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    • pp.193-207
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    • 2009
  • Intracellular signal transduction is achieved by protein-protein interaction. In this paper, we suggest high performance algorithm based on Yeast protein-protein interaction and protein location information. We compare if pathways predicted with high valued weights indicate similar tendency with pathways provided in KEGG. Furthermore, we suggest extracted results, which can imply a discovery of new signaling pathways that is yet proven through experiments. This will be a good basis for research to discover new protein signaling pathways and unknown functions of established proteins.

Genome-wide association study to reveal new candidate genes using single-step approaches for productive traits of Yorkshire pig in Korea

  • Jun Park
    • Animal Bioscience
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    • v.37 no.3
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    • pp.451-460
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    • 2024
  • Objective: The objective is to identify genomic regions and candidate genes associated with age to 105 kg (AGE), average daily gain (ADG), backfat thickness (BF), and eye muscle area (EMA) in Yorkshire pig. Methods: This study used a total of 104,380 records and 11,854 single nucleotide polymorphism (SNP) data obtained from Illumina porcine 60K chip. The estimated genomic breeding values (GEBVs) and SNP effects were estimated by single-step genomic best linear unbiased prediction (ssGBLUP). Results: The heritabilities of AGE, ADG, BF, and EMA were 0.50, 0.49, 0.49, and 0.23, respectively. We identified significant SNP markers surpassing the Bonferroni correction threshold (1.68×10-6), with a total of 9 markers associated with both AGE and ADG, and 4 markers associated with BF and EMA. Genome-wide association study (GWAS) analyses revealed notable chromosomal regions linked to AGE and ADG on Sus scrofa chromosome (SSC) 1, 6, 8, and 16; BF on SSC 2, 5, and 8; and EMA on SSC 1. Additionally, we observed strong linkage disequilibrium on SSC 1. Finally, we performed enrichment analyses using gene ontology and Kyoto encyclopedia of genes and genomes (KEGG), which revealed significant enrichments in eight biological processes, one cellular component, one molecular function, and one KEGG pathway. Conclusion: The identified SNP markers for productive traits are expected to provide valuable information for genetic improvement as an understanding of their expression.

Analysis of MAPK Signaling Pathway Genes in the Intestinal Mucosal Layer of Necrotic Eenteritis-Afflicted Two Inbred Chicken Lines

  • Truong, Anh Duc;Hong, Yeojin;Lee, Janggeun;Lee, Kyungbaek;Lillehoj, Hyun S.;Hong, Yeong Ho
    • Korean Journal of Poultry Science
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    • v.44 no.3
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    • pp.199-209
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    • 2017
  • Mitogen-activated protein kinase (MAPK) signaling pathways play a key role in innate immunity, inflammation, cell proliferation, cell differentiation, and cell death. The main objective of this study was to investigate the expression level of candidate MAPK pathway genes in the intestinal mucosal layer of two genetically disparate chicken lines (Marek's disease-resistant line 6.3 and Marek's disease-susceptible line 7.2) induced with necrotic enteritis (NE). Using high-throughput RNA sequencing, we investigated 178 MAPK signaling pathway related genes that were significantly and differentially expressed between the intestinal mucosal layers of the NE-afflicted and control chickens. In total, 15 MAPK pathway genes were further measured by quantitative real-time PCR(qRT-PCR) and the results were consistent with the RNA-sequencing data. All 178 identified genes were annotated through Gene Ontology and mapped onto the KEGG chicken MAPK signaling pathway. Several key genes of the MAPK pathway, ERK1/2, JNK1-3, p38 MAPK, MAP2K1-4, $NF-{\kappa}B1/2$, c-Fos, AP-1, Jun-D, and Jun, were differentially expressed in the two chicken lines. Therefore, we believe that RNA sequencing and qRT-PCR analysis provide resourceful information for future studies on MAPK signaling of genetically disparate chicken lines in response to pathogens.

MicroRNA Expression Profile Analysis Reveals Diagnostic Biomarker for Human Prostate Cancer

  • Liu, Dong-Fu;Wu, Ji-Tao;Wang, Jian-Ming;Liu, Qing-Zuo;Gao, Zhen-Li;Liu, Yun-Xiang
    • Asian Pacific Journal of Cancer Prevention
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    • v.13 no.7
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    • pp.3313-3317
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    • 2012
  • Prostate cancer is a highly prevalent disease in older men of the western world. MicroRNAs (miRNAs) are small RNA molecules that regulate gene expression via posttranscriptional inhibition of protein synthesis. To identify the diagnostic potential of miRNAs in prostate cancer, we downloaded the miRNA expression profile of prostate cancer from the GEO database and analysed the differentially expressed miRNAs (DE-miRNAs) in prostate cancerous tissue compared to non-cancerous tissue. Then, the targets of these DE-miRNAs were extracted from the database and mapped to the STRING and KEGG databases for network construction and pathway enrichment analysis. We identified a total of 16 miRNAs that showed a significant differential expression in cancer samples. A total of 9 target genes corresponding to 3 DE-miRNAs were obtained. After network and pathway enrichment analysis, we finally demonstrated that miR-20 appears to play an important role in the regulation of prostate cancer onset. MiR-20 as single biomarker or in combination could be useful in the diagnosis of prostate cancer. We anticipate our study could provide the groundwork for further experiments.

Metagenomic Analysis of Antarctic Penguins Gut Microbial Dynamics by using Fecal DNA of Adélie (Pygoscelis adeliae) and Emperor (Aptenodytes forsteri) Penguins in Ross Sea, Antarctica (남극 로스해 지역의 아델리펭귄과 황제펭귄 분변 유전자를 활용한 남극 펭귄 장내 미생물의 메타지놈 분석)

  • Soyun Choi;Seung Jae Lee;Minjoo Cho;Eunkyung Choi;Jinmu Kim;Jeong-Hoon Kim;Hyun-Woo Kim;Hyun Park
    • Journal of Marine Life Science
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    • v.8 no.1
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    • pp.43-49
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    • 2023
  • This study applied a metagenomic analysis of the penguins' gut microbiome from fecal samples of Adélie Penguin (Pygoscelis adeliae) and Emperor Penguin (Aptenodytes forsteri) living along the Ross Sea, Antarctica. As a result of taxonomic analysis, 7 phyla and 18 families were mainly present in the gut microbiome of Adélie and Emperor penguins. To assess microbial diversity, we performed alpha diversity and OTU abundance analyses. It was confirmed that the Adélie Penguin's gut microbial species had a higher diversity than Emperor Penguin's. Based on the Beta diversity analysis using PCoA, differences were observed in the clustering between Adélie and Emperor penguins, respectively. Through the KEGG pathway analysis using PICRUSt, the nucleoside and nucleotide biosynthesis pathway was the most prevalent in Adélie and Emperor penguins. This study enabled a comparison and analysis of the composition and diversity of the gut microbiome in Adélie and Emperor Penguins. It could be utilized for future research related to penguin feeding habits and could serve as a foundation for analyzing the gut microbiomes of various other Antarctic organisms.

Recent progress (2015-2020) in the investigation of the pharmacological effects and mechanisms of ginsenoside Rb1, a main active ingredient in Panax ginseng Meyer

  • Lin, Zuan;Xie, Rongfang;Zhong, Chenhui;Huang, Jianyong;Shi, Peiying;Yao Hong
    • Journal of Ginseng Research
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    • v.46 no.1
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    • pp.39-53
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    • 2022
  • Ginsenoside Rb1 (Rb1), one of the most important ingredients in Panax ginseng Meyer, has been confirmed to have favorable activities, including reducing antioxidative stress, inhibiting inflammation, regulating cell autophagy and apoptosis, affecting sugar and lipid metabolism, and regulating various cytokines. This study reviewed the recent progress on the pharmacological effects and mechanisms of Rb1 against cardiovascular and nervous system diseases, diabetes, and their complications, especially those related to neurodegenerative diseases, myocardial ischemia, hypoxia injury, and traumatic brain injury. This review retrieved articles from PubMed and Web of Science that were published from 2015 to 2020. The molecular targets or pathways of the effects of Rb1 on these diseases are referring to HMGB1, GLUT4, 11β-HSD1, ERK, Akt, Notch, NF-κB, MAPK, PPAR-γ, TGF-β1/Smad pathway, PI3K/mTOR pathway, Nrf2/HO-1 pathway, Nrf2/ARE pathway, and MAPK/NF-κB pathway. The potential effects of Rb1 and its possible mechanisms against diseases were further predicted via Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway and disease ontology semantic and enrichment (DOSE) analyses with the reported targets. This study provides insights into the therapeutic effects of Rb1 and its mechanisms against diseases, which is expected to help in promoting the drug development of Rb1 and its clinical applications.

Effects of Sasa quelpaertensis Extract on mRNA and microRNA Profiles of SNU-16 Human Gastric Cancer Cells (SNU-16 위암 세포의 mRNA 및 miRNA 프로파일에 미치는 제주조릿대 추출물의 영향)

  • Jang, Mi Gyeong;Ko, Hee Chul;Kim, Se-Jae
    • Journal of Life Science
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    • v.30 no.6
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    • pp.501-512
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    • 2020
  • Sasa quelpaertensis Nakai leaf has been used as a folk medicine for the treatment of gastric ulcer, dipsosis, and hematemesis based on its anti-inflammatory, antipyretic, and diuretic characteristics. We have previously reported the procedure for deriving a phytochemical-rich extract (PRE) from S. quelpaertensis and how PRE and its ethyl acetate fraction (EPRE) exhibits an anticancer effect by inducing apoptosis in various gastric cancer cells. To explore the molecular targets involved in this apoptosis, we investigated the mRNA and microRNA profiles of EPRE-treated SNU-16 human gastric cancer cells. In total, 2,875 differentially expressed genes were identified by RNA sequencing, and gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses indicated that the EPRE-modulated genes are associated with apoptosis, mitogen-activated protein kinase, inflammatory response, tumor necrosis factor signaling, and cancer pathways. Subsequently, protein-protein interaction network analysis confirmed interactions among genes associated with cell death and apoptosis, and 27 differentially expressed microRNAs were identified by further sequencing. Here, GO and KEGG pathway analysis revealed that EPRE modified the expression of microRNAs associated with the cell cycle and cell death, as well as signaling of tropomyosin-receptor-kinase receptor, transforming growth factor-b, nuclear factor kB, and cancer pathways. Taken together, these results provide insight into the mechanisms underlying the anticancer effect of EPRE.

Ginsenoside Rk1 inhibits HeLa cell proliferation through an endoplasmic reticulum signaling pathway

  • Qiuyang Li;Hang Sun;Shiwei Liu;Jinxin Tang;Shengnan Liu;Pei Yin;Qianwen Mi;Jingsheng Liu;Lei yu;Yunfeng Bi
    • Journal of Ginseng Research
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    • v.47 no.5
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    • pp.645-653
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    • 2023
  • Background: Changes to work-life balance has increased the incidence of cervical cancer among younger people. A minor ginseng saponin known as ginsenoside Rk1 can inhibit the growth and survival of human cancer cells; however, whether ginsenoside Rk1 inhibits HeLa cell proliferation is unknown. Methods and results: Ginsenoside Rk1 blocked HeLa cells in the G0/G1 phase in a dose-dependent manner and inhibited cell division and proliferation. Ginsenoside Rk1 markedly also activated the apoptotic signaling pathway via caspase 3, PARP, and caspase 6. In addition, ginsenoside Rk1 increased LC3B protein expression, indicating the promotion of the autophagy signaling pathway. Protein processing in the endoplasmic reticulum signaling pathway was downregulated in Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses, consistent with teal-time quantitative PCR and western blotting that showed YOD1, HSPA4L, DNAJC3, and HSP90AA1 expression levels were dramatically decreased in HeLa cells treated with ginsenoside Rk1, with YOD1 was the most significantly inhibited by ginsenoside Rk1 treatment. Conclusion: These findings indicate that the toxicity of ginsenoside Rk1 in HeLa cells can be explained by the inhibition of protein synthesis in the endoplasmic reticulum and enhanced apoptosis, with YOD1 acting as a potential target for cervical cancer treatment.