• 제목/요약/키워드: Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway

검색결과 49건 처리시간 0.028초

Major histocompatibility complex genes exhibit a potential immunological role in mixed Eimeria-infected broiler cecum analyzed using RNA sequencing

  • Minjun Kim;Thisarani Kalhari Ediriweera;Eunjin Cho;Yoonji Chung;Prabuddha Manjula;Myunghwan Yu;John Kariuki Macharia;Seonju Nam;Jun Heon Lee
    • Animal Bioscience
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    • 제37권6호
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    • pp.993-1000
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    • 2024
  • Objective: This study was conducted to investigate the differential expression of the major histocompatibility complex (MHC) gene region in Eimeria-infected broiler. Methods: We profiled gene expression of Eimeria-infected and uninfected ceca of broilers sampled at 4, 7, and 21 days post-infection (dpi) using RNA sequencing. Differentially expressed genes (DEGs) between two sample groups were identified at each time point. DEGs located on chicken chromosome 16 were used for further analysis. Kyoto encyclopedia of genes and genomes (KEGG) pathway analysis was conducted for the functional annotation of DEGs. Results: Fourteen significant (false discovery rate <0.1) DEGs were identified at 4 and 7 dpi and categorized into three groups: MHC-Y class I genes, MHC-B region genes, and non-MHC genes. In Eimeria-infected broilers, MHC-Y class I genes were upregulated at 4 dpi but downregulated at 7 dpi. This result implies that MHC-Y class I genes initially activated an immune response, which was then suppressed by Eimeria. Of the MHC-B region genes, the DMB1 gene was upregulated, and TAP-related genes significantly implemented antigen processing for MHC class I at 4 dpi, which was supported by KEGG pathway analysis. Conclusion: This study is the first to investigate MHC gene responses to coccidia infection in chickens using RNA sequencing. MHC-B and MHC-Y genes showed their immune responses in reaction to Eimeria infection. These findings are valuable for understanding chicken MHC gene function.

Profiling of glucose-induced transcription in Sulfolobus acidocaldarius DSM 639

  • Park, Jungwook;Lee, Areum;Lee, Hyun-Hee;Park, Inmyoung;Seo, Young-Su;Cha, Jaeho
    • Genes and Genomics
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    • 제40권11호
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    • pp.1157-1167
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    • 2018
  • Sulfolobus species can grow on a variety of organic compounds as carbon and energy sources. These species degrade glucose to pyruvate by the modified branched Entner-Doudoroff pathway. We attempted to determine the differentially expressed genes (DEGs) under sugar-limited and sugar-rich conditions. RNA sequencing (RNA-seq) was used to quantify the expression of the genes and identify those DEGs between the S. acidocaldarius cells grown under sugar-rich (YT with glucose) and sugar-limited (YT only) conditions. The functions and pathways of the DEGs were examined using gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses. Quantitative real-time PCR (qRT-PCR) was performed to validate the DEGs. Transcriptome analysis of the DSM 639 strain grown on sugar-limited and sugar-rich media revealed that 853 genes were differentially expressed, among which 481 were upregulated and 372 were downregulated under the glucose-supplemented condition. In particular, 70 genes showed significant changes in expression levels of ${\geq}$ twofold. GO and KEGG enrichment analyses revealed that the genes encoding components of central carbon metabolism, the respiratory chain, and protein and amino acid biosynthetic machinery were upregulated under the glucose condition. RNA-seq and qRT-PCR analyses indicated that the sulfur assimilation genes (Saci_2197-2204) including phosphoadenosine phosphosulfate reductase and sulfite reductase were significantly upregulated in the presence of glucose. The present study revealed metabolic networks in S. acidocaldarius that are induced in a glucose-dependent manner, improving our understanding of biomass production under sugar-rich conditions.

벌사상자의 위염 치료 적용에 대한 네트워크 약리학적 분석 (Network Pharmacological Analysis of Cnidii Fructus Treatment for Gastritis)

  • 김영식;이승호
    • 동의생리병리학회지
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    • 제38권1호
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    • pp.22-26
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    • 2024
  • The purpose of this study was to identify the applicability, main compounds, and target genes of Cnidii Fructus (CF) in the treatment of gastritis using network pharmacology. The compounds in CF were searched in Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP) and a database of medicinal materials and chemical compounds in Northeast Asian traditional medicine (TM-MC). The target gene information of the compounds was collected from pubchem and cross-compared with the gastritis-related target gene information collected from Genecard to derive the target genes. Gene ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis were performed on the derived target genes. Afterwards, network analysis between compounds and disease target genes was performed using cytoscape. We identified 121 active compounds and 139 target genes associated with gastritis. Pathways derived from the GO biological process and KEGG pathway DB primarily focus on target genes related to inflammation (IL-6, IL-8, TNF production, NF-κB transcription factor activity, and NF-κB signaling pathway) and cell death (PI3K-Akt, FoxO). Major targets for CF treatment of gastritis include TP53, TNF, BCL2, EGFR, NFKB1, ABCB1, PPARG, PTGS2, IL6, IL1B, and SOD1, along with major compounds such as coumarin, osthol, hexadecanoic acid, oleic acid, linoleic acid, and stigmasterol. This study provided CF's applicability for gastritis, related compounds, and target information. Evaluating CF's effectiveness in a preclinical gastritis model suggests its potential use in clinical practice for digestive system diseases.

작약감초탕 가 현호색의 항염증 기전에 대한 네트워크 약리학적 분석 (Network pharmacology analysis of Jakyakgamchotang with corydalis tuber for anti-inflammation)

  • 김영식;김홍준;박한빈;이승호
    • 대한한의학방제학회지
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    • 제32권1호
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    • pp.39-49
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    • 2024
  • Objectives : The purpose of this study was to investigate the molecular targets and pathways of anti-inflammatory effects of Jakyakgamchotang with corydalis tuber (JC) using network pharmacology. Methods : The compounds in constituent herbal medicines of JC were searched in TCM systems pharmacology (TCMSP). Target gene informations of the components were collected using chemical-target interactions database provided by Pubchem. Afterwards, network analysis between compounds and inflammation-related target genes was performed using cytoscape. Go enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis were performed on inflammation-related targets using DAVID database. Results : 70 active compounds related to inflammation were identified, and 295 target genes related to the anti-inflammatory activity of the compound of JC were identified. In the Go biological process DB and KEGG pathway DB, "inflammatory response", "cellular response to lipopolysaccharide", "positive regulation of interleukin-6 production", and "positive regulation of protein kinase B. signaling", "positive regulation of ERK1 and ERK2 cascade", "positive regulation of I-kappaB kinase/NF-kappaB signaling", "negative regulation of apoptotic process", and "PI3K-Akt signaling pathway" were found to be mechanisms related to the anti-inflammatory effects related to the target genes of JC. The main compounds predicted to be involved in the anti-inflammatory effect of JC were quercetin, licochalcone B, (+)-catechin, kaempferol, and emodin. Conclusions : This study provides the molecular targets and potential pathways of JC on inflammation. It can be used as a basic data for using JC for various inflammatory disease in traditional korean medicine clinic.

Chlorophyll contents and expression profiles of photosynthesis-related genes in water-stressed banana plantlets

  • Sri Nanan Widiyanto;Syahril Sulaiman;Simon Duve;Erly Marwani;Husna Nugrahapraja;Diky Setya Diningrat
    • Journal of Plant Biotechnology
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    • 제50권
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    • pp.127-136
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    • 2023
  • Water scarcity decreases the rate of photosynthesis and, consequently, the yield of banana plants (Musa spp). In this study, transcriptome analysis was performed to identify photosynthesis-related genes in banana plants and determine their expression profiles under water stress conditions. Banana plantlets were in vitro cultured on Murashige and Skoog agar medium with and without 10% polyethylene glycol and marked as BP10 and BK. Chlorophyll contents in the plant shoots were determined spectrophotometrically. Two cDNA libraries generated from BK and BP10 plantlets, respectively, were used as the reference for transcriptome data. Gene ontology (GO) enrichment analysis was performed using the Database for Annotation, Visualization, and Integrated Discovery (DAVID) and visualized using the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway prediction. Morphological observations indicated that water deficiency caused chlorosis and reduced the shoot chlorophyll content of banana plantlets. GO enrichment identified 52 photosynthesis-related genes that were affected by water stress. KEGG visualization revealed the pathways related to the 52 photosynthesisr-elated genes and their allocations in four GO terms. Four, 12, 15, and 21 genes were related to chlorophyll biosynthesis, the Calvin cycle, the photosynthetic electron transfer chain, and the light-harvesting complex, respectively. Differentially expressed gene (DEG) analysis using DESeq revealed that 45 genes were down-regulated, whereas seven genes were up-regulated. Four of the down-regulated genes were responsible for chlorophyll biosynthesis and appeared to cause the decrease in the banana leaf chlorophyll content. Among the annotated DEGs, MaPNDO, MaPSAL, and MaFEDA were selected and validated using quantitative real-time PCR.

Identification of Long Non-Coding RNAs and Their Target Genes from Mycelium and Primordium in Model Mushroom Schizophyllum commune

  • Tuheng Wu;Jian Chen;Chunwei Jiao;Huiping Hu;Qingping Wu;Yizhen Xie
    • Mycobiology
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    • 제50권5호
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    • pp.357-365
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    • 2022
  • Schizophyllum commune has emerged as the most promising model mushroom to study developmental stages (mycelium, primordium), which are two primary processes of fruit body development. Long non-coding RNA (lncRNA) has been proved to participate in fruit development and sex differentiation in fungi. However, potential lncRNAs have not been identified in S. commune from mycelium to primordium developmental stages. In this study, lncRNA-seq was performed in S. commune and 61.56 Gb clean data were generated from mycelium and primordium developmental stages. Furthermore, 191 lncRNAs had been obtained and a total of 49 lncRNAs were classified as differently expressed lncRNAs. Additionally, 26 up-regulated differently expressed lncRNAs and 23 down-regulated between mycelium and primordia libraries were detected. Further, Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis showed that differentially expressed lncRNAs target genes from the MAPK pathway, phosphatidylinositol signal, ubiquitin-mediated proteolysis, autophagy, and cell cycle. This study provides a new resource for further research on the relationship between lncRNA and two developmental stages (mycelium, primordium) in S. commune.

네트워크 약리학을 활용한 메니에르병에 대한 이진탕(二陳湯)의 활성 성분과 치료 기전 연구(II) (Analysis of the Active Compounds and Therapeutic Mechanisms of Yijin-tang on Meniere's Disease Using Network Pharmacology(II))

  • 진선경;남혜정
    • 한방안이비인후피부과학회지
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    • 제36권2호
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    • pp.1-9
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    • 2023
  • Objectives : This study used a network pharmacology approach to analyze the treatment mechanisms of Yijin-tang on Meniere's disease, and comparative analysis the treatment mechanisms of drugs recommended in the Meniere's disease treatment guidelines. Methods : We collected information on the recommended drugs from the Meniere's disease treatment guidelines and their target proteins were screened via the STITCH database. The intersection targets were obtained through Venny 2.1.0. Gene Ontology(GO) analysis and Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway analysis were performed using ClueGO. Results : The 7 proteins(TNF, CASP9, PARP1, CCL2, CFTR, NOS2, NOS1) were associated with both Yijin-tang and Meniere's disease related genes. The 10 proteins(AQP2, KCNE1, AQP1, AVP, ACE, HRH1, HRH3, NOS1, CA1, CFTR) were associated with both the recommended drugs in the guidelines and Meniere's disease related genes. The 2 proteins(CFTR, NOS1) were common across all three groups. Further, GO/KEGG pathway analysis of the collected proteins revealed that the common mechanisms of action between Yijin-tang and the recommended drugs in the guidelines were related to pathways involving immune dysfunction and disturbances in lymphatic fluid homeostasis. In addition, the recommended drugs in the guidelines appeared to act through mechanisms that improve blood flow through vasodilation. Conclusions : Pharmacological network analysis can help to explain the treatment mechanisms of Yijin-tang on Meniere's disease.

The study of blood transcriptome profiles in Holstein cows with miscarriage during peri-implantation

  • Zhao, Guoli;Li, Yanyan;Kang, Xiaolong;Huang, Liang;Li, Peng;Zhou, Jinghang;Shi, Yuangang
    • Asian-Australasian Journal of Animal Sciences
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    • 제32권1호
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    • pp.38-48
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    • 2019
  • Objective: In this study, the transcriptome profile of cow experiencing miscarriage during peri-implantation was investigated. Methods: Total transcriptomes were checked by RNA sequencing, and the analyzed by bioinformatics methods, the differentially expressed genes (DEGs) were analysed with hierarchical clustering and Kyoto encyclopedia of genes and genomes (KEGG) pathway analysis. Results: The results suggested that serum progesterone levels were significantly decreased in cows that miscarried as compared to the pregnant cows at 18, 21, 33, 39, and 51 days after artificial insemination. The RNA sequencing results suggested that 32, 176, 5, 10, and 2 DEGs were identified in the pregnant cows and miscarried cows at 18, 21, 33, 39, and 51 d after artificial insemination. And 15, 101, 1, 2, and 2 DEGs were upregulated, and 17, 74, 4, and 8 DEGs were downregulated in the cows in the pregnant and miscarriage groups, respectively at 18, 21, 33, and 39, but no gene was downregulated at 51 d after artificial insemination. These DEGs were distributed to 13, 20, 3, 6, and 20 pathways, and some pathway essential for pregnancy, such as cell adhesion molecules, tumor necrosis factor signaling pathway and PI3K-Akt signaling pathway. Conclusion: This analysis has identified several genes and related pathways crucial for pregnancy and miscarriage in cows, as well as these genes supply molecular markers to predict the miscarriage in cows.

마이크로그루브 상 인간치은섬유아세포의 유전자 발현 분석: DNA microarray 연구 (Regulation of human gingival fibroblast gene expression on microgrooves: A DNA microarray study)

  • 이경호;이성복;안수진;박수정;이석원
    • 대한치과보철학회지
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    • 제55권4호
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    • pp.361-371
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    • 2017
  • 목적: 마이크로그루브 상 인간치은섬유아세포의 유전자발현감식을 DNA microarray를 이용하여 연구하는 것이다. 재료 및 방법: Grade II 티타늄 시편을 이용하여 표면에 마이크로그루브(폭/깊이: $60{\mu}m/10{\mu}m$, E60/10)를 형성하고 불산으로 산에칭하여 실험군으로 사용하였다. 표면처리를 하지 않은 평활한 티타늄 표면(NE0)을 대조군으로 사용하였다. 실험군과 대조군에 인간치은섬유아세포를 배양한 후 total RNA를 추출하였다. Oligonucleotide microarray를 시행하여 실험군과 대조군 간 다양한 유전자 발현량의 변화를 확인하였다. KEGG (Kyoto Encyclopedia of Genes and Genomes) pathway analysis를 통해 DNA chip의 발현 결과를 mapping하여 실험 조건에 따른 유전자 발현량의 변화를 pathway 수준에서 파악하였다. 결과: E60/10 마이크로그루브 표면과 NE0 표면에 대한 유전자 발현량 비교분석 결과, NE0 표면에 비하여 E60/10 마이크로그루브 표면에서 1.5배 이상 유의한 발현 차이를 보인 유전자는 123개, 2배 이상 유의한 발현 차이를 보인 유전자는 19개였다. 실험 조건에 따른 유전자 발현량의 변화를 KEGG pathway analysis를 통하여 확인하였고, 다양한 유전자 발현 결과들 중 대표적인 세포접착, 증식, 활성 관련 세포신호전달을 규명하였다. 결론: 마이크로그루브 표면은 다양한 유전자 발현 변화를 유도하고 관련 세포신호 전달을 유도한다. 본 연구의 결과에 따라서, 마이크로그루브는 유전자 발현 변화 및 세포신호 전달 활성화 등을 통한 세포활성도 증진을 필요로 하는 다양한 생체재료들의 표면으로 사용될 수 있다.

Identification of Hub Genes in the Pathogenesis of Ischemic Stroke Based on Bioinformatics Analysis

  • Yang, Xitong;Yan, Shanquan;Wang, Pengyu;Wang, Guangming
    • Journal of Korean Neurosurgical Society
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    • 제65권5호
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    • pp.697-709
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    • 2022
  • Objective : The present study aimed to identify the function of ischemic stroke (IS) patients' peripheral blood and its role in IS, explore the pathogenesis, and provide direction for clinical research progress by comprehensive bioinformatics analysis. Methods : Two datasets, including GSE58294 and GSE22255, were downloaded from Gene Expression Omnibus database. GEO2R was utilized to obtain differentially expressed genes (DEGs). Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis of DEGs were performed using the database annotation, visualization and integrated discovery database. The protein-protein interaction (PPI) network of DEGs was constructed by search tool of searching interactive gene and visualized by Cytoscape software, and then the Hub gene was identified by degree analysis. The microRNA (miRNA) and miRNA target genes closely related to the onset of stroke were obtained through the miRNA gene regulatory network. Results : In total, 36 DEGs, containing 27 up-regulated and nine down-regulated DEGs, were identified. GO functional analysis showed that these DEGs were involved in regulation of apoptotic process, cytoplasm, protein binding and other biological processes. KEGG enrichment analysis showed that these DEGs mediated signaling pathways, including human T-cell lymphotropic virus (HTLV)-I infection and microRNAs in cancer. The results of PPI network and cytohubba showed that there was a relationship between DEGs, and five hub genes related to stroke were obtained : SOCS3, KRAS, PTGS2, EGR1, and DUSP1. Combined with the visualization of DEG-miRNAs, hsa-mir-16-5p, hsa-mir-181a-5p and hsa-mir-124-3p were predicted to be the key miRNAs in stroke, and three miRNAs were related to hub gene. Conclusion : Thirty-six DEGs, five Hub genes, and three miRNA were obtained from bioinformatics analysis of IS microarray data, which might provide potential targets for diagnosis and treatment of IS.