• 제목/요약/키워드: Gene ontology analysis

검색결과 228건 처리시간 0.031초

한우 cDNA 라이브러리에서 발현된 ESTs의 기능분석 (Functional Analysis of Expressed Sequence Tags from Hanwoo (Korean Cattle) cDNA Libraries)

  • 임다정;변미정;조용민;윤두학;이승환;신윤희;임석기
    • Journal of Animal Science and Technology
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    • 제51권1호
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    • pp.1-8
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    • 2009
  • 본 연구는 한우의 지방, 간, 등심조직에서 유전자 염기서열을 확보하여 생산된 57,598개의 유전자 발현단편 데이터의 기능규명을 실시하였다. 유전자 발현단편 서열은 Assembly 과정을 통하여 unique한 서열인 4,759 contigs와 7,587 singletons을 확보하였으며, 얻어진 전사체를 이용하여 NCBI의 non-redundant 단백질 데이터베이스에 대하여 서열유사성 검색 (BLAST)을 하여 유전자의 기능을 예측할 수 있었다. 또한 기능에 대한 모호성을 확실히 하기 위해 Gene Ontology 용어를 사용하여 한우의 세 조직에서 확보된 서열들의 생물학적 특성을 기술하였다. Gene Ontology 는 모든 기능이 계층적으로 표현되어 있기 때문에, 각 계층에 대하여 유의적인 기능 여부를 확인하기 위하여 통계 분석인 Pearson's chi-square test를 실시하여 통계적으로 유의한 기능들을 산출할 수 있었다. 그 결과, Molecular function, Biological process, Cellular component 각각의 GO category에서 13, 16, 8개의 유의적인 GO terms이 검출되었다. 또한, 한우의 세 조직에 대하여 조직특이적 유전자의 존재여부를 판단하기 위하여 Audic's test를 실시하여 세 조직에서 각각 조직특이적으로 발현되는 유전자들을 검출할 수 있었다. 이러한 생물정보학적 방법들을 사용하여 한우의 세 조직에서 발현된 대량의 서열들에 대한 기능을 예측할 수 있었으며, 통계 검증을 통하여 유의적으로 검출된 유전자들은 추후에 실험적 검증을 실시하여 충분한 정보를 확보할 수 있을 것으로 사료된다.

영하의 저온에 노출된 'Campbell Early'와 'Muscat Bailey A' 포도나무 신초의 전사체 비교 (Transcriptomic analysis of 'Campbell Early' and 'Muscat Bailey A' grapevine shoots exposed to freezing cold stress)

  • 김선애;윤해근
    • Journal of Plant Biotechnology
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    • 제43권2호
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    • pp.204-212
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    • 2016
  • 환경스트레스 중의 하나인 저온에 대한 생육기의 포도나무의 반응을 분석하고자 -$2^{\circ}C$에서 4일 동안 저온처리 한두 품종('Campbell Early'와 'Muscat Baily A')의 포도나무잎을 이용하여 전사체를 분석하였고 특이발현유전자(differentially expressed genes, DEGs)를 검색하였다. 영하의 저온에 반응한 'Campbell Early'의 DEG를 기능별로 분석한 결과 생물대사에서 17,424개, 세포구성에서 28,954개, 분자기능에서는 6,972개의 유전자와 관련이 있었다. 발현이 유도되는 유전자로는 dehydrin xero 1, K-box region and MADS-box transcription factor family protein과 MYB domain protein 36이 있으며, 억제되는 유전자로는 light-harvesting chlorophyll B-binding protein 3, FASCICLIN-like arabinoogalactan 9와 pectin methylesterase 61 등이 있었다. 'Muscat Baily A'의 DEG는 생물대사에서 1,157개, 세포구성에서 1,350개, 분자기능에서는 431개의 유전자와 관련이 있었다. 발현이 유도되는 유전자로는 NB-ARC domain-containing disease resistance protein, fatty acid hydrozylase syperfamily와 isopentenyltransferase 3이 있으며, 억제되는 유전자로는 binding, IAP-like protein 1과 pentatricopeptide repeat superfamily protein 등이 있었다. Real-time PCR을 이용하여 영하의 저온에서 특이적으로 발현하는 유전자들을 검정하였으며, InterPro Scan을 통해 단백질 도메인을 분석한 결과 두 품종 모두에서 ubiquitin-protein ligase가 가장 많았다. 영하의 저온에 노출된 신초의 전사체 정보를 바탕으로 포도나무에서 저온 내성을 발현하는 기작을 연하는 데에 분자수준의 정보를 제공하고, 내한성 포도를 육종하는데 이용될 수 있을 것이다.

Improved Algorithms for the Identification of Yeast Proteins and Significant Transcription Factor and Motif Analysis

  • Lee Seung-Won;Hong Seong-Eui;Lee Kyoo-Yeol;Choi Do-Il;Chung Hae-Young;Hur Cheol-Goo
    • Genomics & Informatics
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    • 제4권2호
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    • pp.87-93
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    • 2006
  • With the rapid development of MS technologiesy, the demands for a more sophisticated MS interpretation algorithm haves grown as well. We have developed a new protein fingerprinting method using a binomial distribution, (fBIND). With the fBIND, we improved the performance accuracy of protein fingerprinting up to the maximum 49% (more than MOWSE) and 2% than(at a previous binomial distribution approach studied by of Wool et al.) as compared to the established algorithms. Moreover, we also suggest a the statistical approach to define the significance of transcription factors and motifs in the identified proteins based on the Gene Ontology (GO). Abbreviations: fBIND, fingerprinting using binomial distribution; GO, Gene Ontology; MS, Mass Spectrometry; PMF, peptide mass fingerprinting; nr, nonredundant; SGD, Saccharomyces Genome Database

Functional Gene Analysis to Identify Potential Markers Induced by Benzene in Two Different Cell Lines, HepG2 and HL-60

  • Kim, Youn-Jung;Song, Mi-Kyung;Sarma, Sailendra Nath;Choi, Han-Saem;Ryu, Jae-Chun
    • Molecular & Cellular Toxicology
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    • 제4권3호
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    • pp.183-191
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    • 2008
  • Volatile organic compounds (VOCs) are common constituents of cleaning and degreasing agents, paints, pesticides, personal care products, gasoline and solvents. And VOCs are evaporated at room temperature and most of them exhibit acute and chronic toxicity to human. Benzene is the most widely used prototypical VOC and the toxic mechanisms of them are still unclear. The multi-step process of toxic mechanism can be more fully understood by characterizing gene expression changes induced in cells by toxicants. In this study, DNA microarray was used to monitor the expression levels of genes in HepG2 cells and HL-60 cells exposed to the benzene on IC20 and IC50 dose respectively. In the clustering analysis of gene expression profiles, although clusters of HepG2 and HL-60 cells by benzene were divided differently, expression pattern of many genes observed similarly. We identified 916 up-regulated genes and 1,144 down-regulated genes in HepG2 cells and also 1,002 up-regulated genes and 919 down-regulated genes in HL-60 cells. The gene ontology analysis on genes expressed by benzene in HepG2 and HL-60 cells, respectively, was performed. Thus, we found some principal pathways, such as, focal adhesion, gap junction and signaling pathway in HepG2 cells and toll-like receptor signaling pathway, MAPK signaling pathway, p53 signaling pathway and neuroactive ligand-receptor interaction in HL-60 cells. And we also found 16 up-regulated and 14 down-regulated commonly expressed total 30 genes that belong in the same biological process like inflammatory response, cell cycle arrest, cell migration, transmission of nerve impulse and cell motility in two cell lines. In conclusion, we suggest that this study is meaningful because these genes regarded as strong potential biomarkers of benzene independent of cell type.

Transcriptome profiling of the coffee (C. arabica L.) seedlings under salt stress condition

  • Haile, Mesfin;Kang, Won Hee
    • Journal of Plant Biotechnology
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    • 제45권1호
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    • pp.45-54
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    • 2018
  • This research was conducted to study the gene expression of coffee (Coffea arabica L.) seedlings under salt stress condition. A solution of five percent ($2.3dS\;m^{-1}$) deep sea water was used for the salt treatment, and it was thereby compared to normal irrigation water ($0.2dS\;m^{-1}$) used for the control treatment. The mRNA was extracted from the leaves of the coffee seedlings for a comprehensive analysis. In this study, a total of 19,581 genes were identified and aligned to the reference sequences available in the coffee genome database. The gene ontology analysis was performed to estimate the number of genes associated with the identified biological processes, cellular components and molecular functions. Among the 19,581 genes, 7369 (37.64%) were associated with biological processes, 5909 (30.18%) with cellular components, and 5325 (27.19%) with molecular functions. The remaining 978 (4.99%) genes were therefore grouped as unclassified. A differential gene expression analysis was performed using the DESeq2 package to identify the genes that were differentially expressed between the treatments based on fold changes and p-values. Namely, a total of 611 differentially expressed genes were identified (treatment/control) in that case. Among these, 336 genes were up-regulated while 275 of the genes were down-regulated. Of the differentially expressed genes, 60 genes showed statistically significant (p < 0.05) expression, 44 of which were up-regulated and 16 which were down-regulated. We also identified 11 differentially expressed transcription factor genes, 6 of which were up-regulated and rest 5 genes were down-regulated. The data generated from this study will help in the continued interest and understanding of the responses of coffee seedlings genes associated with salinity stress, in particular. This study will also provide important resources for further functional genomics studies.

Meta-analysis of Gene Expression Data Identifies Causal Genes for Prostate Cancer

  • Wang, Xiang-Yang;Hao, Jian-Wei;Zhou, Rui-Jin;Zhang, Xiang-Sheng;Yan, Tian-Zhong;Ding, De-Gang;Shan, Lei
    • Asian Pacific Journal of Cancer Prevention
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    • 제14권1호
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    • pp.457-461
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    • 2013
  • Prostate cancer is a leading cause of death in male populations across the globe. With the advent of gene expression arrays, many microarray studies have been conducted in prostate cancer, but the results have varied across different studies. To better understand the genetic and biologic mechanisms of prostate cancer, we conducted a meta-analysis of two studies on prostate cancer. Eight key genes were identified to be differentially expressed with progression. After gene co-expression analysis based on data from the GEO database, we obtained a co-expressed gene list which included 725 genes. Gene Ontology analysis revealed that these genes are involved in actin filament-based processes, locomotion and cell morphogenesis. Further analysis of the gene list should provide important clues for developing new prognostic markers and therapeutic targets.

Microarray Analysis of Genes Involved with Shell Strength in Layer Shell Gland at the Early Stage of Active Calcification

  • Liu, Zhangguo;Zheng, Qi;Zhang, Xueyu;Lu, Lizhi
    • Asian-Australasian Journal of Animal Sciences
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    • 제26권5호
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    • pp.609-624
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    • 2013
  • The objective of this study was to get a comprehensive understanding of how genes in chicken shell gland modulate eggshell strength at the early stage of active calcification. Four 32-week old of purebred Xianju hens with consistent high or low shell breakage strength were grouped into two pairs. Using Affymetrix Chicken Array, a whole-transcriptome analysis was performed on hen's shell gland at 9 h post oviposition. Gene ontology enrichment analysis for differentially expressed (DE) transcripts was performed using the web-based GOEAST, and the validation of DE-transcripts was tested by qRT-PCR. 1,195 DE-transcripts, corresponding to 941 unique genes were identified in hens with strong eggshell compared to weak shell hens. According to gene ontology annotations, there are 77 DE-transcripts encoding ion transporters and secreted extracellular matrix proteins, and at least 26 DE-transcripts related to carbohydrate metabolism or post-translation glycosylation modification; furthermore, there are 88 signaling DE-transcripts. GO term enrichment analysis suggests that some DE-transcripts mediate reproductive hormones or neurotransmitters to affect eggshell quality through a complex suite of biophysical processes. These results reveal some candidate genes involved with eggshell strength at the early stage of active calcification which may facilitate our understanding of regulating mechanisms of eggshell quality.

인간 간암세포주 HepG2에서 김 분획물의 항산화 활성을 통한 증식 억제 및 유전자 발현 양상 (Anti-proliferating Effects and Gene Expression Profiles through Antioxidant Activity of Porphyra yezoensis Fractions on Human HepG2 Cell Lines)

  • 오윤정;김정민;방인석
    • 생명과학회지
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    • 제28권2호
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    • pp.176-186
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    • 2018
  • 김(Porphyra yezoensis, Laver)의 MeOH 추출에 의한 유기용매 별 분획물에서 폴리페놀 함량과 항산화 활성 및 간암세포주 HepG2의 세포증식 억제효과를 확인하였다. $CHCl_3$ 분획물의 폴리페놀 함량은 $10.34{\mu}g/mg$으로 물 분획물의 $13.08{\mu}g/mg$ 보다는 다소 적게 나타났으나, DPPH 자유라디칼 소거에 의한 전자공여능(EDA)에서 나타난 $ED_{50}$$16.96{\mu}g/ml$로 가장 높게 나타났다. $CHCl_3$과 EtOAc 분획물은 농도의존적으로 HepG2 세포의 증식을 억제하였으며, 특히 $900{\mu}g/ml$$CHCl_3$ 분획물을 24시간 동안 처리하여 90%의 세포증식이 억제되었다. 한편 $CHCl_3$ 분획물이 처리된 HepG2 세포의 유전자 발현 양상을 microarray로 확인하였다. P. yezoensis의 효능과 연관지은 gene ontology 분석으로 비타민 D 합성 과정, 항균작용에 대한 반응 및 영양물질에 대한 반응에 관련된 유의 유전자들을 탐색하였다. 유의 유전자로 IL6R와 CYP1A1를 선정하였고, 이들 유전자의 상위 조절자는 ARNT 유전자가 선정되었다. 또한 50 및 $100{\mu}g/ml$$CHCl_3$ 분획물이 처리된 HepG2 세포에서 IL6R와 CYP1A1 단백질의 발현과 상위 조절자인 ARNT의 활성을 Western blotting으로 확인하였다.

RNAseq-based Transcriptome Analysis of Burkholderia glumae Quorum Sensing

  • Kim, Sunyoung;Park, Jungwook;Kim, Ji Hyeon;Lee, Jongyun;Bang, Bongjun;Hwang, Ingyu;Seo, Young-Su
    • The Plant Pathology Journal
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    • 제29권3호
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    • pp.249-259
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    • 2013
  • Burkholderia glumae causes rice grain rot and sheath rot by producing toxoflavin, the expression of which is regulated by quorum sensing (QS). The QS systems of B. glumae rely on N-octanoyl homoserine lactone, synthesized by TofI and its cognate receptor TofR, to activate the genes for toxoflavin biosynthesis and an IclR-type transcriptional regulator gene, qsmR. To understand genome-wide transcriptional profiling of QS signaling, we employed RNAseq of the wild-type B. glumae BGR1 with QS-defective mutant, BGS2 (BGR1 tofI::${\Omega}$) and QS-dependent transcriptional regulator mutant, BGS9 (BGR1 qsmR::${\Omega}$). A comparison of gene expression profiling among the wild-type BGR1 and the two mutants before and after QS onset as well as gene ontology (GO) enrichment analysis from differential expressed genes (DEGs) revealed that genes involved in motility were highly enriched in TofI-dependent DEGs, whereas genes for transport and DNA polymerase were highly enriched in QsmR-dependent DEGs. Further, a combination of pathways with these DEGs and phenotype analysis of mutants pointed to a couple of metabolic processes, which are dependent on QS in B. glumae, that were directly or indirectly related with bacterial motility. The consistency of observed bacterial phenotypes with GOs or metabolic pathways in QS-regulated genes implied that integration RNAseq with GO enrichment or pathways would be useful to study bacterial physiology and phenotypes.

Prediction of hub genes of Alzheimer's disease using a protein interaction network and functional enrichment analysis

  • Wee, Jia Jin;Kumar, Suresh
    • Genomics & Informatics
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    • 제18권4호
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    • pp.39.1-39.8
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    • 2020
  • Alzheimer's disease (AD) is a chronic, progressive brain disorder that slowly destroys affected individuals' memory and reasoning faculties, and consequently, their ability to perform the simplest tasks. This study investigated the hub genes of AD. Proteins interact with other proteins and non-protein molecules, and these interactions play an important role in understanding protein function. Computational methods are useful for understanding biological problems, in particular, network analyses of protein-protein interactions. Through a protein network analysis, we identified the following top 10 hub genes associated with AD: PTGER3, C3AR1, NPY, ADCY2, CXCL12, CCR5, MTNR1A, CNR2, GRM2, and CXCL8. Through gene enrichment, it was identified that most gene functions could be classified as integral to the plasma membrane, G-protein coupled receptor activity, and cell communication under gene ontology, as well as involvement in signal transduction pathways. Based on the convergent functional genomics ranking, the prioritized genes were NPY, CXCL12, CCR5, and CNR2.