• 제목/요약/키워드: KEGG

검색결과 158건 처리시간 0.022초

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.

Prediction and Analysis of Ligands against Estrogen Related Receptor Alpha

  • Chitrala, Kumaraswamy Naidu;Yeguvapalli, Suneetha
    • Asian Pacific Journal of Cancer Prevention
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    • 제14권4호
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    • pp.2371-2375
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    • 2013
  • Breast cancer is one of the most common malignancies in women around the world. Among the various hormonal types of breast cancer, those that are estrogen receptor (ER) positive account for the majority. Among the estrogen related receptors, estrogen related receptor ${\alpha}$ is known to have a potential role in breast cancer and is one of the therapeutic target. Hence, prediction of novel ligands interact with estrogen related receptor alpha is therapeutically important. The present study, aims at prediction and analysis of ligands from the KEGG COMPOUND database (containing 10,739 entries) able to interact against estrogen receptor alpha using a similarity search and molecular docking approach.

Gene Expression Profiling of Human Bronchial Epithelial (BEAS-2B) Cells Treated with Nitrofurantoin, a Pulmonary Toxicant

  • Kim, Youn-Jung;Song, Mee;Ryu, Jae-Chun
    • Molecular & Cellular Toxicology
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    • 제3권4호
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    • pp.222-230
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    • 2007
  • Some drugs may be limited in their clinical application due to their propensity towards their adverse effects. Toxicogenomic technology represents a useful approach for evaluating the toxic properties of new drug candidates early in the drug discovery process. Nitrofurantoin (NF) is clinical chemotherapeutic agent and antimicrobial and used to treatment of urinary tract infections. However, NF has been shown to result in pulmonary toxic effects. In this research, we revealed the changing expression gene profiles in BEAS-2B, human bronchial epithelial cell line, exposed to NF by using human oligonucleotide chip. Through the clustering analysis of gene expression profiles, we identified 136 up-regulated genes and 379 down-regulated genes changed by more than 2-fold by NF. This study identifies several interesting targets and functions in relation to NF-induced toxicity through a gene ontology analysis method including biological process, cellular components, molecular function and KEGG pathway.

Consistent Triplets of Candidate Paralogs by Graph Clustering

  • Yun, Hwa-Seob;Muchnik, Ilya;Kulikowski, Casimir
    • 한국생물정보학회:학술대회논문집
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    • 한국생물정보시스템생물학회 2005년도 BIOINFO 2005
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    • pp.156-160
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    • 2005
  • We introduce a fully automatic clustering method to classier candidate paralog clusters from a set of protein sequences within one genome. A set of protein sequences is represented as a set of nodes, each represented by the amino acid sequence for a protein with the sequence similarities among them constituting a set of edges in a graph of protein relationships. We use graph-based clustering methods to identify structurally consistent sets of nodes which are strongly connected with each other. Our results are consistent with those from current leading systems such as COG/KOG and KEGG based on manual curation. All the results are viewable at http://www.cs.rutgers.edu/${\sim}$seabee.

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메디컬패스웨이 병합을 통한 생물학적 모델 연구 (A biological model research based on merging Medical-pathways)

  • 전선희;최윤수;서동민;유석종;이민호
    • 한국콘텐츠학회:학술대회논문집
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    • 한국콘텐츠학회 2015년도 춘계 종합학술대회 논문집
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    • pp.337-338
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    • 2015
  • 알츠하이머병은 뇌에 비이상적으로 베타아밀로이드 단백질의 축적으로 인해 신경세포가 손상되는 질병으로 아직까지 명확한 질병의 메커니즘이 밝혀지지 않고 있다. 새로운 알츠하이머병의 생물학적 모델을 제시하기 위해, KEGG의 알츠하이머병의 신호전달패스웨이와 문헌정보를 기반으로 구축된 신호전달 네트워크를 병합함으로써 새로운 질병의 모델을 생성하였다. 분석결과 로바스타틴하부경로를 포함하는 새로운 알츠하이머 생물학적 경로 모델을 제시하고자 한다. 향후 메디컬 페스웨이의 병합기술을 통해 보다 다양한 질병의 원인 기작을 연구하는데 활용하고자 한다.

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Pathway Crosstalk Analysis Based on Protein-protein Network Analysis in Ovarian Cancer

  • Pan, Xiao-Hua
    • Asian Pacific Journal of Cancer Prevention
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    • 제13권8호
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    • pp.3905-3909
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    • 2012
  • Ovarian cancer is the fifth leading cause of cancer death in women aged 35 to 74 years. Although there are several popular hypothesis of ovarian cancer pathogenesis, the genetic mechanisms are far from being clear. Recently, systems biology approaches such as network-based methods have been successfully applied to elucidate the mechanisms of diseases. In this study, we constructed a crosstalk network among ovarian cancer related pathways by integrating protein-protein interactions and KEGG pathway information. Several significant pathways were identified to crosstalk with each other in ovarian cancer, such as the chemokine, Notch, Wnt and NOD-like receptor signaling pathways. Results from these studies will provide the groundwork for a combination therapy approach targeting multiple pathways which will likely be more effective than targeting one pathway alone.

단백질 네트워크 기반 골다공증 진단을 위한 핵심 모듈 확정 (Identification of core modules for diagnosis of the osteoporosis based on protein network)

  • 진혜정;이지후;김학용
    • 한국콘텐츠학회:학술대회논문집
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    • 한국콘텐츠학회 2014년도 추계 종합학술대회 논문집
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    • pp.59-60
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    • 2014
  • 노령화 사회와 함께 대두된 골다공증을 가정에서 저렴하고도 손쉽게 조기 진단할 필요성이 대두되고 있다. 본 연구에서는 네트워크 기반 골다공증을 손쉽게 진단하기 위해 관련 단백질을 추출하고 네트워크로부터 핵심 모듈을 찾아 조기 진단키트의 타깃을 제공하고자 하였다. 먼저 골다공증 관련 유전자를 OMIM database로부터 추출하고 HPRD로부터 단백질 상호작용 정보를 추가하여 골다공증 관련 단백질 네트워크(1,594 노드 및 2,160 링크)를 구축하였다. 네트워크상 Degree가 높은 단백질을 선별하고, 복잡한 네트워크를 단순화하는 알고리즘인 MCODE를 사용하여 핵심 모듈을 추출하여 핵심 단백질을 확보하였다. 또한 네트워크 자체를 KEGG PATHWAY에 적용시켜 골다공증 관련 단백질의 경로 중심의 핵심단백질을 추출하였다. 이러한 연구 결과를 비교하여 공통적으로 나타나는 핵심 단백질을 타깃으로 골다공증을 손쉽고 간편하게 조기 진단할 수 있는 실마리를 제공하고자 한다.

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Transcriptome analysis of internal and external stress mechanisms in Aster spathulifolius Maxim.

  • Sivagami, Jean Claude;Park, SeonJoo
    • 한국자원식물학회:학술대회논문집
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    • 한국자원식물학회 2019년도 춘계학술대회
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    • pp.35-35
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    • 2019
  • Aster spathulifolius Maxim. is belongs to the Asteraceae family which is distributed only in Korea and Japan. It is recognize as a traditionally medicinal plants and economically valuable in ornamental field. However, among the Asteraceae family, the Aster genus, which is lacks in genomic resources and information of molecular function. Therefore, we used high throughput RNA-sequencing transcriptome data of the A. spathulifolius to know molecular level function. DeNovo assembly produced 98,660 unigene with N50 value 1126 bp. Unigenes was performed to analyses the functional annotation against NCBI database like plant database of nucleotide (Nt) and non-redundant protein (Nr), Pfam, Uniprot, KEGG and Transcriptional factor (TF). In addition, Distribution of SSR markers also analyzed for future perfectives. Further, Comparing with other two Asteraceae family species like, Karelinia caspica and Chrysanthemum morifolium to the A. spathulifolius shows the number of gene that regulated in internal and external stress respectively salt-tolerant and heat and drought stress to understand the molecular basis related to the different environments stress.

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Expression profiles of circular RNAs in sheep skeletal muscle

  • Cao, Yang;You, Shuang;Yao, Yang;Liu, Zhi-Jin;Hazi, Wureli;Li, Cun-Yuan;Zhang, Xiang-Yu;Hou, Xiao-Xu;Wei, Jun-Chang;Li, Xiao-Yue;Wang, Da-Wei;Chen, Chuang-Fu;Zhang, Yun-Feng;Ni, Wei;Hu, Sheng-Wei
    • Asian-Australasian Journal of Animal Sciences
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    • 제31권10호
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    • pp.1550-1557
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    • 2018
  • Objective: Circular RNAs (circRNAs) are a newfound class of non-coding RNA in animals and plants. Recent studies have revealed that circRNAs play important roles in cell proliferation, differentiation, autophagy and apoptosis during development. However, there are few reports about muscle development-related circRNAs in livestock. Methods: RNA sequencing analysis was employed to identify and annotate circRNAs from longissimus dorsi of sheep. Reverse transcription followed by real-time quantitative (q) polymerase chain reaction (PCR) analysis verified the presence of these circRNAs. Targetscan7.0 and miRanda were used to analyse the interaction of circRNA-microRNA (miRNA). To investigate the function of circRNAs, an experiment was conducted to perform enrichment analysis hosting genes of circRNAs using gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) pathways. Results: About 75.5 million sequences were obtained from RNA libraries of sheep skeletal muscle. These sequences were mapped to 729 genes in the sheep reference genome. We identified 886 circRNAs, including numerous circular intronic RNAs and exonic circRNAs. Reverse transcription PCR (RT-PCR) and DNA sequencing analysis confirmed the presence of several circRNAs. Real-Time RT-PCR analysis exhibited resistance of sheep circRNAs to RNase R digestion. We found that many circRNAs interacted with muscle-specific miRNAs involved in growth and development of muscle, especially circ776. The GO and KEGG enrichment analysis showed that hosting genes of circRNAs was involved in muscle cell development and signaling pathway. Conclusion: The study provides comprehensive expression profiles of circRNAs in sheep skeletal muscle. Our study offers a large number of circRNAs to facilitate a better understanding of their roles in muscle growth. Meanwhile, we suggested that circ776 could be analyzed in future study.

Enrichment and verification of differentially expressed miRNAs in bursa of Fabricius in two breeds of duck

  • Luo, Jun;Liu, Junying;Liu, Hehe;Zhang, Tao;Wang, Jiwen;He, Hua;Han, Chunchun
    • Asian-Australasian Journal of Animal Sciences
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    • 제30권7호
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    • pp.920-929
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    • 2017
  • Objective: The bursa of Fabricius (BF) is a central humoral immune organ belonging specifically to avians. Recent studies had suggested that miRNAs were active regulators involved in the immune processes. This study was to investigate the possible differences of the BF at miRNA level between two genetically disparate duck breeds. Methods: Using Illumina next-generation sequencing, the miRNAs libraries of ducks were established. Results: The results showed that there were 66 differentially expressed miRNAs and 28 novel miRNAs in bursa. A set of abundant miRNAs (i.e., let-7, miR-146a-5p, miR-21-5p, miR-17~92) which are involved in immunity and disease were detected and the predicted target genes of the novel miRNAs were associated with duck high anti-adversity ability. By gene ontology analysis and enriching KEGG pathway, the targets of differential expressed miRNAs were mainly involved in immunity and disease, supporting that there were differences in the BF immune functions between the two duck breeds. In addition, the metabolic pathway had the maximum enriched target genes and some enriched pathways that were related to cell cycle, protein synthesis, cell proliferation and apoptosis. It indicted that the difference of metabolism may be one of the reasons leading the immune difference between the BF of two duck breeds. Conclusion: This data lists the main differences in the BF at miRNAs level between two genetically disparate duck breeds and lays a foundation to carry out molecular assisted breeding of poultry in the future.