• 제목/요약/키워드: microarray array

검색결과 147건 처리시간 0.027초

Integrated Model Design of Microarray Data Using miRNA, PPI, Disease Information (miRNA, PPI, 질병 정보를 이용한 마이크로어레이 데이터 통합 모델 설계)

  • Ha, Kyung-Sik;Lim, Jin-Muk;Kim, Hong-Gee
    • Journal of the Korean Institute of Intelligent Systems
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    • 제22권6호
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    • pp.786-792
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    • 2012
  • A microarray is a collection of thousands of DNAs or RNAs arranged on a substrate, and it enables one to navigate large amounts of gene expression. However, a researcher uses his designed experimental methods to focus on particular phenotypes from the available mass of data. In this paper, we used MicroRNAs(miRNAs) and Protein-Protein Interation(PPI) databases to enhance and expand meanings in microarray data. Further, the expanded data are linked with the Online Mendelian Inheritance in Man(OMIM), and International Statistical Classification of Diseases and Related Health Problems, $10^{th}$ Revision(ICD-10), in order to extract common genetic relationships between diseases. This approach, we expect, should provide new biological views.

Gene Expression Analyses in Hypothalami of Immobilization-stressed and BoshimgeonbiTang-treated Mice Using cDNA Microarray (구속 스트레스 (immobilization stress)를 가한 rat의 hypothalamus에서의 유전자 발현 및 포심건비탕의 항스트레스 효과에 관한 cDNA microarray 분석)

  • Lee Han Chang;Yeam Mi Jung;Kim Gun Ho;Choi Kang Duk;Lee Seoung Hee;Shim Insop;Lee Hye Jung;Hahm Dae Hyun
    • Journal of Physiology & Pathology in Korean Medicine
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    • 제17권6호
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    • pp.1393-1403
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    • 2003
  • The genetic effects of restraint stress challenge on HPA axis and the therapeutic effect of Boshimgeonbi-Tang on the stress were studied with cDNA microarray analyses on hypothalamus using an immobilization-stress mouse as stress model. Male CD-1 mice were restrained in a tightly fitted and ventilated vinyl holder for 2hours once a day, and this challenge was repeated for seven consecutive days. The body weights of the immobilization-stress mice were diminished about 25 percent degree as compared to normal ones. Seven days later, total RNA was extracted from the organs of the mouse, body-labeled with CyDye/sup TM/ fluorescence dyes (Amersham Bioscience Co., NJ), and then hybridized to cDNA microarray chip. Scanning and analyzing the array slides were carried out using GenePix 4000 series scanner and GenePix Pro/sup TM/ analyzing program, respectively. The expression profiles of 109 genes out of 6000 genes on the chip were significantly modulated in hypothalamus by the immobilization stress. Energy metabolism-, lipid metabolism-, apoptosis- and signal transduction-related genes were transcriptionally activated whereas DNA repair-, protein biosynthesis-, and structure integrity-related genes were down-regulated in hypothalamus. The 58 genes were up-regulated by the mRNA expression folds of 1.5 to 7.9. and the 51 genes were down-regulated by 1.5 - 3.5 fold. The 20 genes among them were selected to confirm the expression profiles by RT-PCR. The mRNA expression levels of Tnfrsf1a (apoptosis), Calm2 (cell cycle), Bag3 (apoptosis), Hspe1 (protein folding), Aatk (apoptosis), Dffa (apoptosis), Itgb1 (cell adhesion), Vcam1 (cell adhesion), Fkbp5 (protein folding), BDNF (neuron survival) were restored to the normal one by the treatment of Boshimgeonbi-Tang.

Screening of Differentially Expressed Genes among Various TNM Stages of Lung Adenocarcinoma by Genomewide Gene Expression Profile Analysis

  • Liu, Ming;Pan, Hong;Zhang, Feng;Zhang, Yong-Biao;Zhang, Yang;Xia, Han;Zhu, Jing;Fu, Wei-Ling;Zhang, Xiao-Li
    • Asian Pacific Journal of Cancer Prevention
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    • 제14권11호
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    • pp.6281-6286
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    • 2013
  • Background: To further investigate the molecular basis of lung cancer development, we utilize a microarray to identify differentially expressed genes associated with various TNM stages of adenocarcinoma, a subtype with increasing incidence in recent years in China. Methods: A 35K oligo gene array, covering about 25,100 genes, was used to screen differentially expressed genes among 90 tumor samples of lung adenocarcinoma in various TNM stages. To verify the gene array data, three genes (Zimp7, GINS2 and NAG-1) were confirmed by real-time RT-PCR in a different set of samples from the gene array. Results: First, we obtained 640 differentially expressed genes in lung adenocarcinomas compared to the surrounding normal lung tissues. Then, from the 640 candidates we identified 10 differentially expressed genes among different TNM stages (Stage I, II and IIIA), of which Zimp7, GINS2 and NAG-1 genes were first reported to be present at a high level in lung adenocarcinoma. The results of qRT-PCR for the three genes were consistent with those from the gene array. Conclusions: We identified 10 candidate genes associated with different TNM stages in lung adenocarcinoma in the Chinese population, which should provide new insights into the molecular basis underlying the development of lung adenocarcinoma and may offer new targets for the diagnosis, therapy and prognosis prediction.

Non-negligible Occurrence of Errors in Gender Description in Public Data Sets

  • Kim, Jong Hwan;Park, Jong-Luyl;Kim, Seon-Young
    • Genomics & Informatics
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    • 제14권1호
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    • pp.34-40
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    • 2016
  • Due to advances in omics technologies, numerous genome-wide studies on human samples have been published, and most of the omics data with the associated clinical information are available in public repositories, such as Gene Expression Omnibus and ArrayExpress. While analyzing several public datasets, we observed that errors in gender information occur quite often in public datasets. When we analyzed the gender description and the methylation patterns of gender-specific probes (glucose-6-phosphate dehydrogenase [G6PD], ephrin-B1 [EFNB1], and testis specific protein, Y-linked 2 [TSPY2]) in 5,611 samples produced using Infinium 450K HumanMethylation arrays, we found that 19 samples from 7 datasets were erroneously described. We also analyzed 1,819 samples produced using the Affymetrix U133Plus2 array using several gender-specific genes (X (inactive)-specific transcript [XIST], eukaryotic translation initiation factor 1A, Y-linked [EIF1AY], and DEAD [Asp-Glu-Ala-Asp] box polypeptide 3, Y-linked [DDDX3Y]) and found that 40 samples from 3 datasets were erroneously described. We suggest that the users of public datasets should not expect that the data are error-free and, whenever possible, that they should check the consistency of the data.

The Effect of Trans-cinnamaldehyde on the Gene Expression of Lipopolysaccharide-stimulated BV-2 Cells Using Microarray Analysis (Trans-Cinnamaldehyde가 Lipopolysaccharide로 처리된 BV-2 cell에 미치는 항염증 기전 연구: Microarray 분석)

  • Sun, Young-Jae;Choi, Yeong-Gon;Jeong, Mi-Young;Hwang, Se-Hee;Lee, Je-Hyun;Cho, Jung-Hee;Lim, Sabina
    • The Journal of Korean Medicine
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    • 제30권4호
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    • pp.13-27
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    • 2009
  • Objectives: Trans-cinnamaldehyde (TCA) is the main component of Cinnamomi Ramulus and it has been reported that TCA inhibits inflammatory responses in various cell types. Inflammation-mediated neurological disorders induce the activation of macrophages such as microglia in brain, and these activated macrophages release various inflammation-related molecules, which can be neurotoxic if overproduced. In this study, we evaluated gene expression profiles using gene chip microarrays in lipopolysaccharide (LPS)-stimulated BV-2 cells to investigate the antiinflammatory effect of TCA on inflammatory responses in brain microglia. Methods: A negative control group was cultured in normal medium and a positive control group was stimulated with $1{\mu}g/ml$ in the absence of TCA. TCA group was pretreated with $10{\mu}g/ml$ before $1{\mu}g/ml$ LPS stimulation. The oligonucleotide microarray analysis was performed to obtain the expression profiles of 28,853 genes using gene chip mouse gene 1.0 ST array in this study. Results: In positive control group, 1522 probe sets were up-regulated in the condition of the cutoff value of 1.5-fold change and 341 genes with Unigene ID were retrieved. In TCA group, 590 probe sets were down-regulated from among 1522 probe sets and 33 genes with Unigene ID were retrieved, which included 6 inflammation-related genes. We found out that Id3 gene is associated with transforming growth factor-${\beta}$ (TGF-${\beta}$) signaling pathway and Klra8 gene is related to natural killer cell-mediated cytotoxicity pathway. Conclusions: The results mean that TCA inhibits inflammatory responses through down-regulating the expressions of inflammation-related genes in LPS-stimulated BV-2 cells.

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Validation of Human HazChem Array Using VOC Exposure in HL-60 Cells

  • Oh, Moon-Ju;Kim, Seung-Jun;Kim, Jun-Sub;Kim, Ji-Hoon;Park, Hye-Won;Kim, Youn-Jung;Ryu, Jae-Chun;Hwang, Seung-Yong
    • Molecular & Cellular Toxicology
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    • 제4권1호
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    • pp.45-51
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    • 2008
  • Volatile Organic Compounds (VOCs) have been shown to cause nervous system disorders through skin contact or respiration, and also cause foul odors even at low densities in most cases. Also, as a compound itself, VOCs are directly harmful to the environment and to the human body, and may participate in photochemical reactions in air to create secondary pollutants. In this study, HL-60 cells were treated with volatile organic compounds, including ethylbenzene and trichloroethylene, at a value of $IC_50$. Then, the in house-prepared Human HazChem arrayer was utilized in order to compare the gene expression between the two VOCs. After hybridization, 8 upregulated genes and 8 downregulated genes were discovered in the HazChem array. The upregulated genes were identified as SG15, TNFSF10, PRNP, ME1, NCOA4, SRXN1, TXNRD1, and XBP1. The downregulated genes were identified as MME, NRF1, PRARBP, CALCA, CRP, BAX, C7 or f40, and FGFR1. Such results were highly correlated with the quantitative RT-PCR results. The majority of the 16 genes were related with the characteristics of VOCs, including respiratory mechanism, apoptosis, and carcinogenesis-associated genes. Our data showed that our human HazChem array can be used to monitor hazardous materials via gene expression profiling.

QCanvas: An Advanced Tool for Data Clustering and Visualization of Genomics Data

  • Kim, Nayoung;Park, Herin;He, Ningning;Lee, Hyeon Young;Yoon, Sukjoon
    • Genomics & Informatics
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    • 제10권4호
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    • pp.263-265
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    • 2012
  • We developed a user-friendly, interactive program to simultaneously cluster and visualize omics data, such as DNA and protein array profiles. This program provides diverse algorithms for the hierarchical clustering of two-dimensional data. The clustering results can be interactively visualized and optimized on a heatmap. The present tool does not require any prior knowledge of scripting languages to carry out the data clustering and visualization. Furthermore, the heatmaps allow the selective display of data points satisfying user-defined criteria. For example, a clustered heatmap of experimental values can be differentially visualized based on statistical values, such as p-values. Including diverse menu-based display options, QCanvas provides a convenient graphical user interface for pattern analysis and visualization with high-quality graphics.