• 제목/요약/키워드: Microarray gene expression data

검색결과 315건 처리시간 0.026초

Bayesian Survival Analysis of High-Dimensional Microarray Data for Mantle Cell Lymphoma Patients

  • Moslemi, Azam;Mahjub, Hossein;Saidijam, Massoud;Poorolajal, Jalal;Soltanian, Ali Reza
    • Asian Pacific Journal of Cancer Prevention
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    • 제17권1호
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    • pp.95-100
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    • 2016
  • Background: Survival time of lymphoma patients can be estimated with the help of microarray technology. In this study, with the use of iterative Bayesian Model Averaging (BMA) method, survival time of Mantle Cell Lymphoma patients (MCL) was estimated and in reference to the findings, patients were divided into two high-risk and low-risk groups. Materials and Methods: In this study, gene expression data of MCL patients were used in order to select a subset of genes for survival analysis with microarray data, using the iterative BMA method. To evaluate the performance of the method, patients were divided into high-risk and low-risk based on their scores. Performance prediction was investigated using the log-rank test. The bioconductor package "iterativeBMAsurv" was applied with R statistical software for classification and survival analysis. Results: In this study, 25 genes associated with survival for MCL patients were identified across 132 selected models. The maximum likelihood estimate coefficients of the selected genes and the posterior probabilities of the selected models were obtained from training data. Using this method, patients could be separated into high-risk and low-risk groups with high significance (p<0.001). Conclusions: The iterative BMA algorithm has high precision and ability for survival analysis. This method is capable of identifying a few predictive variables associated with survival, among many variables in a set of microarray data. Therefore, it can be used as a low-cost diagnostic tool in clinical research.

Transcriptome Analysis of Bacillus subtilis by DNA Microarray Technique

  • Kang, Choong-Min;Yoshida, Ken-Ichi;Matsunaga, Masayuki;Kobayashi, Kazuo;Ueda, Minoru;Ogasawara, Naotake;Fujita, Yasutaro
    • 한국생명과학회:학술대회논문집
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    • 한국생명과학회 2000년도 제28회 학술심포지엄
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    • pp.3-8
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    • 2000
  • The complete genome sequence of a Gram-positive bacterium .Bacillus subtilis has recently been reported and it is now clear that more than 50% of its ORFs have no known function (1). To study the global gene expression in B. subtilis at single gene resolution, we have tested the glass DNA microarrays in a step-wise fashion. As a preliminary experiment, we have created arrays of PCR products for 14 ORF whose transcription patterns have been well established through transcriptional mapping analysis. We measured changes in mRNA transcript levels between early exponential and stationary phase by hybridizing fluorescently labeled cDNA (with Cy3-UTP and Cy5-UTP) onto the array. We then compared the microarray data to confirm that the transcription patterns of these genes are well consistent with the known Northern analysis data. Since the preliminary test has been successful, we scaled up the experiments to ${\sim}$94% of the 4,100 annotated ORFs for the complete genome sequence of B. subtilis. Using this whole genomic microarray, we searched genes that are catabolite-repressive and those that are under the control of ${\sigma}^{Y}$, one of the functionally unknown ECF sigma factors. From these results, we here report that we have established DNA microarray techniques that are applicable for the whole genome of B. subtilis.

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A Study on Two Group Comparison in Gene Expression Data

  • Seok, Kyung-Ha;Lee, Sangfeel;Bae, Whasoo
    • Communications for Statistical Applications and Methods
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    • 제11권2호
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    • pp.247-254
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    • 2004
  • Tusher, Tibshirani and Chu (2001) suggested SAM (Significance Analysis of Microarrays) to compare two groups under different conditions for each gene, using microarray data. They used two sample t-statistic adding fudge factor in the denominator to prevent the value of statistic from being inflated by large sample variance, which might result in significant difference despite of a small value in the numerator. This paper aims at finding robust fudge factor and replacing it in two-sample t-statistic used in SAM, which we call Modified SAM (MSAM). Using the simulated data and data used in Dudoit et al.(2002), it is shown that MSAM find significant genes better and has less error rate than SAM.

Reliability of microarray analysis for studying periodontitis: low consistency in 2 periodontitis cohort data sets from different platforms and an integrative meta-analysis

  • Jeon, Yoon-Seon;Shivakumar, Manu;Kim, Dokyoon;Kim, Chang-Sung;Lee, Jung-Seok
    • Journal of Periodontal and Implant Science
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    • 제51권1호
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    • pp.18-29
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    • 2021
  • Purpose: The aim of this study was to compare the characteristic expression patterns of advanced periodontitis in 2 cohort data sets analyzed using different microarray platforms, and to identify differentially expressed genes (DEGs) through a meta-analysis of both data sets. Methods: Twenty-two patients for cohort 1 and 40 patients for cohort 2 were recruited with the same inclusion criteria. The 2 cohort groups were analyzed using different platforms: Illumina and Agilent. A meta-analysis was performed to increase reliability by removing statistical differences between platforms. An integrative meta-analysis based on an empirical Bayesian methodology (ComBat) was conducted. DEGs for the integrated data sets were identified using the limma package to adjust for age, sex, and platform and compared with the results for cohorts 1 and 2. Clustering and pathway analyses were also performed. Results: This study detected 557 and 246 DEGs in cohorts 1 and 2, respectively, with 146 and 42 significantly enriched gene ontology (GO) terms. Overlapping between cohorts 1 and 2 was present in 59 DEGs and 18 GO terms. However, only 6 genes from the top 30 enriched DEGs overlapped, and there were no overlapping GO terms in the top 30 enriched pathways. The integrative meta-analysis detected 34 DEGs, of which 10 overlapped in all the integrated data sets of cohorts 1 and 2. Conclusions: The characteristic expression pattern differed between periodontitis and the healthy periodontium, but the consistency between the data sets from different cohorts and metadata was too low to suggest specific biomarkers for identifying periodontitis.

3T3-L1 세포의 지방세포형성과정에서 Baicalin에 의한 유전자 발현 프로파일 분석 (Effects of Baicalin on Gene Expression Profiles during Adipogenesis of 3T3-L1 Cells)

  • 이해용;강련화;정상인;조수현;윤유식
    • 한국식품영양과학회지
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    • 제39권1호
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    • pp.54-63
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    • 2010
  • Flavonoid 계열의 한 종류인 baicalin은 항염증, 항암, 항바이러스, 항세균 등의 효능을 가진다. 본 연구진은 선행연구를 통한 이전의 보고에서 baiclain이 adipogenesis pathway(지방세포 형성 경로)의 anti-adipogenic(지방세포 형성억제)과 pro-adipogenic(지방세포 형성 유도) factor들을 조절함으로써 비만 및 adipogenesis를 억제함을 밝혔다. 본 연구에서는, microarray 기술을 이용하여 3T3-L1 세포에서 baiclain이 유도하는 지방세포 형성 억제 효과에 대한 분자적 기작을 보다 상세하게 연구하고자 하였다. 지방세포의 분화 시간(0일, 2일, 4일 및 7일)과 분화 시 baicalin의 처리 유무에 따라 유전자 발현 양상을 분석하기 위해 해당 시료들을 microarray에 적용하였다. Microarray 결과로부터 2배이상의 변화가 있는 3972개의 유전자를 확보하였다. 그 유전자들의 발현 양상을 좀 더 자세히 살펴보기 위해 hierarchical clustering 분석을 진행하였고 그 결과로 20개의 cluster를 분류할 수 있었다. 그들 중 4개의 cluster는 분화의 전반적인 기간에서 baicalin의 첨가에 의해 뚜렷하게 상승(cluster 8과 cluster 10)하거나 반대로 뚜렷하게 감소(cluster 12와 cluster 14)하는 양상을 보였다. Cluster 8과 cluster 10에는 CHOP(CCAAT/enhancer-binding protein homologous protein), INSIG1(insulin induced gene 1), WISP2(WNT1 inducible signaling pathway protein 2), ADM(adrenomedullin), CCND2(cyclin D2), GRN(granulin) 및 TGFB3(transforming growth factor, beta 3)과 같은 세포 증식과 지방세포 형성 억제를 상승시키는 유전자들이 다수 포함되었다. 반대로 cluster 12와 cluster 14에는 세포 증식 억제, 세포 주기 억제 및 세포 성장 억제와 연관되거나 지방세포를 유도하는 유전자인 LTA(lympotoxin A), ACADSB(acyl-Coenzyme A dehydrogenase, short/branched chain), HMGCS2(3-hydroxy-3-methylglutaryl-Coenzyme A synthase 2), IGFBP7(insulin-like growth factor binding protein 7), MERTK(c-merproto-oncogene tyrosine kinase), RASSF2(ras association(RalGDS/AF-6) domain family 2), RHOU(ras homolog gene family, member U) 및 SESN1(sestrin1) 등이 포함되었다. 결론적으로 baicalin은 세포 증식 및 지방세포 형성과 연관된 유전자들을 조절함으로써 지방세포의 분화를 억제하는 것으로 사료된다. 이러한 결과는 baicalin이 유도하는 지방세포 형성 억제 및 비만 억제 효과의 분자적 기작에 대한 중요한 정보를 제시한다.

대규모 유전자 분석 기법을 이용한 육미지황원의 유전자 발현 연구 (Studies on Gene Expression of Yukmijihwang-tang using High-throughput Gene Expression Analysis Techniques)

  • 강봉주;김윤택;조동욱
    • 한국한의학연구원논문집
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    • 제8권2호통권9호
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    • pp.95-107
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    • 2002
  • Yukmijihwang-tang(YM) is a noted herbal prescription in Chinese and Korean traditional medicines, and it has been known to reinforce the vital essence and has been widely used for a variety of disease such as stroke, osteoporosis, anti-tumor, and hypothyrodism. Regarding its traditional use, YM has been known to reinforce the Yin (vital essence) of liver and kidney. Also it has been known to reinforce nutrition and biological function in brain. Recently, studies suggested that YM increase antioxidant activities and exert the protective effect against oxidant-induced liver cell injury. We investigated the high-throughput gene expression analysis on the Yukmijihwang-tang administrated in SD rats. Microarray data were validated on a limited number of genes by semiquantitative RT-PCR and Western blot analyses. The recent availability of microarrays provides an attractive strategy for elaborating an unbiased molecular profile of large number of genes in drug discovery This experimental approach offers the potential to identify molecules or cellular pathways not previously associated with herbal medicine. Total RNA from normal control brain and Yukmijihwang-tang administrated brain were hybridized to microarrays containing 10,000 rat genes. The 52 genes were found to be up-regulated(twice or more) excluding EST gene. The nine genes were found to be down-regulated(twice or more) excluding EST gene. Gene array technology was used to identify for the first time many genes expression pathway analysis that arecell cycle pathway, apoptosis pathway, electron transport chain pathway, cytoplasmic ribosomal protein pathway, fatty acid degradation pathway, and TGF-beta signaling pathway. These differentially expressed genes pathway analysis have not previously been iavestigated in the context of herbal medicine efficacy and represent novel factors for further study of the mechanism of herbal medicine efficacy.

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Aquaporin 4 expression is downregulated in large bovine ovarian follicles

  • Kim, Chang-Woon;Choi, Eun-Ju;Kim, Eun-Jin;Siregar, Adrian S.;Han, Jaehee;Kang, Dawon
    • 한국동물생명공학회지
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    • 제35권4호
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    • pp.315-322
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    • 2020
  • Aquaporin channels (AQPs) are known to play an important role in the development of ovarian follicles through their function in water transport pathways. Compared to other AQPs, research on the role of AQP4 in female reproductive physiology, particularly in cattle, remains limited. In our previous study, gene chip microarray data showed a downregulation of AQP4 in bovine cystic follicles. This study was performed to validate the AQP4 expression level at the protein level in bovine follicles using immunohistochemistry, Western blotting, and immunoprecipitation assays. Immunostaining data showed that AQP4 was expressed in granulosa and theca cells of bovine ovarian follicles. The ovarian follicles were classified according to size as small (< 10 mm) or large (> 25 mm) in diameter. Consistent with earlier microarray data, semi-quantitative PCR data showed a decrease in AQP4 mRNA expression in large follicles. Western blot analysis showed a downregulation of the AQP4 protein in large follicles. In addition, AQP4 was immunoprecipitated and blotted with anti-AQP4 antibody in small and large follicles. Accordingly, AQP4 exhibited a low expression in large follicles. These results show that AQP4 is downregulated in bovine ovarian large follicles, suggesting that the downregulation of AQP4 expression may interfere with follicular water transport, leading to bovine follicular cysts.

Meta- and Gene Set Analysis of Stomach Cancer Gene Expression Data

  • Kim, Seon-Young;Kim, Jeong-Hwan;Lee, Heun-Sik;Noh, Seung-Moo;Song, Kyu-Sang;Cho, June-Sik;Jeong, Hyun-Yong;Kim, Woo Ho;Yeom, Young-Il;Kim, Nam-Soon;Kim, Sangsoo;Yoo, Hyang-Sook;Kim, Yong Sung
    • Molecules and Cells
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    • 제24권2호
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    • pp.200-209
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    • 2007
  • We generated gene expression data from the tissues of 50 gastric cancer patients, and applied meta-analysis and gene set analysis to this data and three other stomach cancer gene expression data sets to define the gene expression changes in gastric tumors. By meta-analysis we identified genes consistently changed in gastric carcinomas, while gene set analysis revealed consistently changed biological themes. Genes and gene sets involved in digestion, fatty acid metabolism, and ion transport were consistently down-regulated in gastric carcinomas, while those involved in cellular proliferation, cell cycle, and DNA replication were consistently up-regulated. We also found significant differences between the genes and gene sets expressed in diffuse and intestinal type gastric carcinoma. By gene set analysis of cytogenetic bands, we identified many chromosomal regions with possible gross chromosomal changes (amplifications or deletions). Similar analysis of transcription factor binding sites (TFBSs), revealed transcription factors that may have caused the observed gene expression changes in gastric carcinomas, and we confirmed the overexpression of one of these, E2F1, in many gastric carcinomas by tissue array and immunohistochemistry. We have incorporated the results of our meta- and gene set analyses into a web accessible database (http://human-genome.kribb.re.kr/stomach/).

Early Gene Expression in Mouse Spleen Cells after Exposure to Nickel Acetate

  • Koh Jae-Ki;Kim Woo-Hyoung;Lee Chang-Ho;Nam Hae-Seon;Kim Sung-Ho;Woo Kee-Min;Lee Sang-Han
    • Toxicological Research
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    • 제22권2호
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    • pp.95-102
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    • 2006
  • Exposure to soluble nickel compound produces toxic effects on immune system, but the mechanism of action remains to be elucidated. Differential gene expression was studied to understand the potential molecular mechanism responsible for acute toxicity induced by nickel acetate in spleen cells. We exposed mouse spleen cells to nickel acetate with a nontoxic dose ($40{\mu}M$) and then extracted total RNA at 6 h and 12 h after exposure. The RNA was hybridized onto 10K mouse oligonucleotide microarrays, and data were analyzed using GeneSpring 7.1. Nickel had a modest effects on expression of many genes, in the range of 1.3-3 fold. The expression profile showed time-dependent changes in expression levels of differentially expressed genes, including some important genes related to cell cycle, apoptosis and DNA repair. In hierarchical cluster analysis of duplicate experiments, 111 genes were screened out. Out of these, 44 genes showing time- dependent up-regulation (>1.5 fold) and 38 genes showing down-regulation (>1.5 fold) at all time points were chosen for further analysis. The change in the expression of three genes (GPX1, GADD45B and FAIM) after nickel treatment was validated using RT-PCR. As a rule, a number of genes appear to be coordinately regulated between cell survival and cell death from nickel toxicity. In conclusion, changes in the gene profile in the spleen after nickel treatment are complex and genes with diverse functions are modulated. These findings will be contributed to the understanding of the complicated biological effects of nickel.

Differential Expression of Gene Profiles in MRGX-treated Lung Cancer

  • Kwon, Yong-Kyun;Lee, Seung-Yeul;Kang, Hwan-Soo;Sung, Jung-Suk;Cho, Chong-Kwan;Yoo, Hwa-Seung;Shin, Seungjin;Choi, Jong-Soon;Lee, Yeon-Weol;Jang, Ik-Soon
    • 대한약침학회지
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    • 제16권3호
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    • pp.30-38
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    • 2013
  • Objectives: Modified regular ginseng extract (MRGX) has stronger anti-cancer activity-possessing gensenoside profiles. Methods: To investigate changes in gene expression in the MRGX-treated lung cancer cells (A549), we examined genomic data with cDNA microarray results. After completing the gene-ontology-based analysis, we grouped the genes into up-and down-regulated profiles and into ontology-related regulated genes and proteins through their interaction network. Results: One hundred nine proteins that were up- and down-regulated by MRGX were queried by using IPA. IL8, MMP7 and PLAUR and were found to play a major role in the anti-cancer activity in MRGX-treated lung cancer cells. These results were validated using a Western blot analysis and a semi-quantitative reverse transcription-polymerase chain reaction (RT-PCR) analysis. Conclusions: Most MRGX-responsive genes are up-regulated transiently in A549 cells, but down-regulated in a sustained manner in lung cancer cells.