• 제목/요약/키워드: Gene Expression Levels

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Effect of Thyroid Hormone on the Gene Expression of Myostatin in Rat Skeletal Muscle

  • Ma, Yi;Chen, Xiaoqiang;Li, Qing;An, Xiaorong;Chen, Yongfu
    • Asian-Australasian Journal of Animal Sciences
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    • v.22 no.2
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    • pp.275-281
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    • 2009
  • Modification of thyroid hormone levels has a profound effect on skeletal muscle differentiation, predominantly through direct regulation involving thyroid hormone receptors. Nevertheless, little is known about the regulation of myostatin gene expression in skeletal muscle due to altered concentrations of thyroid hormone. Thus, the goal of our study was to find out whether altered thyroid states could change the gene expression of myostatin, the most powerful inhibitor of skeletal muscle development. A hyperthyroid state was induced in rats by daily injections of L-thyroxine 20 mg/100 g body weight for 14 days, while a hypothyroid state was induced in another group of rats by administering methimazole (0.04%) in drinking water for 14 days. After a period of 14 days of L-thyroxine treatment we observed a significant increase of myostatin expression both in mRNA and protein level. However, decreased expression of myostatin mRNA and protein were observed in hypothyroid rats. Furthermore, our studies demonstrated that the upregulation of myostatin gene expression might be responsible for the loss of body weight induced by altered thyroid hormone levels. We concluded that myostatin played a role in a metabolic process in muscle that was regulated by thyroid hormone.

Epigenetic characterization of the PBEF and TIMP-2 genes in the developing placentae of normal mice

  • Kim, Hong-Rye;Han, Rong-Xun;Diao, Yun-Fei;Park, Chang-Sik;Jin, Dong-Il
    • BMB Reports
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    • v.44 no.8
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    • pp.535-540
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    • 2011
  • Reprogramming errors, which appear frequently in cloned animals, are reflected by aberrant gene expression. We previously reported the aberrant expression of TIMP-2 and PBEF in cloned placenta and differential expression of PBEF genes during pregnancy. To examine the epigenetic modifications that regulate dynamic gene expression in developing placentae, we herein analyzed the mRNA and protein expression levels of PBEF and TIMP-2 in the placentae of normal mice during pregnancy and then examined potential correlations with epigenetic modifications. DNA methylation pattern analysis revealed no difference, but ChIP assays using antibodies against H3-K9/K14 and H4-K5 histone acetylation revealed that the H3-K9/K14 acetylation levels, but not the H4-K5 acetylation levels, of the TIMP-2 and PBEF loci were significantly correlated with their gene expression levels during placentation in normal mice. These results suggest that epigenetic changes may regulate gene expression level in the developing placentae of normal mice and that inappropriate epigenetic reprogramming might be one cause of the abnormal placentae seen in cloned animals.

Hormonal Regulation of Glycerol-Phosphate Acyltransferase Gene Expression (Glycerol-Phosphate Acyltransferase Gene Expression의 호르몬에 의한 조절)

  • 손승렬;신동훈
    • Microbiology and Biotechnology Letters
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    • v.21 no.5
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    • pp.473-477
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    • 1993
  • Both glycerol-phosphate acyltransferase (GPAT) and 7.2 kb mRNAs were present at the highest level in liver. Glycerol-phosphate acyltransferase and 7.2 kb mRNA levels increased dramatically when fasted mice were refed a high carbohydrate diet. In mature 3T3-L1 adipocytes, insulin increased both glycerol-phosphate acyltransferase and 7.2kb mRNA levels 2.6 to 3-fold while dibutyryl cAMP decreased mRNA levels by 50% and 80%, respectively. These results indicate positive regulation by insulin and negative regulation by dibutyryl cAMP of both glycerol-phosphate acyltransferase and 7.2 kb mRNA.

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Association between expression levels and growth trait-related SNPs located in promoters of the MC4R and MSTN genes in Spinibarbus hollandi

  • Yang, Yang;Lan, Zhaojun;Shu, Hu;Zhou, Huiqiang;Jiang, Xiaolu;Hou, Liping;Gu, Pinghua
    • Genes and Genomics
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    • v.40 no.11
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    • pp.1119-1125
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    • 2018
  • Melanocortin 4 receptor: (MC4R) and Myostatin (MSTN) are two important growth trait-related genes in animals. In this study, we showed that two SNPs, MC4R-719A>G and MSTN-519C>T, found in the promoters of the MC4R and MSTN genes, respectively, are both associated with growth traits in Spinibarbus hollandi. Furthermore, we observed that there were significant associations between the expression levels of the MC4R and MSTN genes and these two growth trait-related SNPs. The expression level of MC4R gene in brain was lower in GG genotype fish with extremely high growth performance than that in AA genotype fish with extremely low growth performance. Expression level of the MSTN gene in muscle was lower in TT genotype fish with extremely high growth performance than that in CC and CT genotype fish with lower growth performance. The results indicated that these SNPs located in the promoters of MC4R and MSTN are associated with growth-related traits through modification of gene expression levels. The MSTN and MC4R SNPs may have useful application in effective marker-assisted selection aimed to increase output in S. hollandi.

Hierarchical Clustering of Gene Expression Data Based on Self Organizing Map (자기 조직화 지도에 기반한 유전자 발현 데이터의 계층적 군집화)

  • Park, Chang-Beom;Lee, Dong-Hwan;Lee, Seong-Whan
    • Proceedings of the Korean Society for Bioinformatics Conference
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    • 2003.10a
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    • pp.170-177
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    • 2003
  • Gene expression data are the quantitative measurements of expression levels and ratios of numberous genes in different situations based on microarray image analysis results. The process to draw meaningful information related to genomic diseases and various biological activities from gene expression data is known as gene expression data analysis. In this paper, we present a hierarchical clustering method of gene expression data based on self organizing map which can analyze the clustering result of gene expression data more efficiently. Using our proposed method, we could eliminate the uncertainty of cluster boundary which is the inherited disadvantage of self organizing map and use the visualization function of hierarchical clustering. And, we could process massive data using fast processing speed of self organizing map and interpret the clustering result of self organizing map more efficiently and user-friendly. To verify the efficiency of our proposed algorithm, we performed tests with following 3 data sets, animal feature data set, yeast gene expression data and leukemia gene expression data set. The result demonstrated the feasibility and utility of the proposed clustering algorithm.

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The Sliding Window Gene-Shaving Algorithm for Microarray Data Analysis

  • 이혜선;최대우;전치혁
    • Proceedings of the Korean Society for Bioinformatics Conference
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    • 2002.06a
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    • pp.139-152
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    • 2002
  • Gene-shaving(Hastie et al, 2000) is a very useful method to identify a meaningful group of genes when the variation of expression is large. By shaving off the low-correlated genes with the leading principal component, the primary genes with the coherent expression pattern can be identified. Gene-shaving method works well If expression levels are varied enough, but it may not catch the meaningful cluster in low expression level or different expression time even with coherent patterns. The sliding window gene-shaving method which is to apply gene-shaving in each sliding window after hierarchical clustering is to compensate losing a meaningful set of genes whose variation is not large but distinct. The performance to identify expression patterns is compared for the simulated profile data by the different variance and expression level.

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Statistical Analysis of Gene Expression Data

  • 박태성
    • Proceedings of the Korean Society for Bioinformatics Conference
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    • 2001.10a
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    • pp.97-115
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    • 2001
  • cDNA microarray technology allows the monitoring of expression levels for thousands of genes simultaneously. Many statistical analysis tools become widely applicable to the analysis of cDNA microarray data. In this talk, we consider a two-way ANOVA model to differentiate genes that have high variability and ones that do not. Using this model, we detect genes that have different gene expression profiles among experimental groups. The two-way ANOVA model is illustrated using cDNA microarrays of 3,800 genes obtained in an experiment to search for changes in gene expression profiles during neuronal differentiation of cortical stem cells.

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FHIT Gene Expression in Acute Lymphoblastic Leukemia and its Clinical Significance

  • Malak, Camelia A Abdel;Elghanam, Doaa M;Elbossaty, Walaa Fikry
    • Asian Pacific Journal of Cancer Prevention
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    • v.16 no.18
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    • pp.8197-8201
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    • 2016
  • Background: To investigate the expression of the fragile histidine triad (FHIT) gene in acute lymphoblastic leukemia and its clinical significance. Materials and Methods: The level of expressed FHIT mRNA in peripheral blood from 50 patients with acute lymphoblastic leukemia (ALL) and in 50 peripheral blood samples from healthy volunteers was measured via RT-PCR. Correlation analyses between FHIT gene expression and clinical characteristics (gender, age, white blood count, immunophenotype of acute lymphoblastic leukemia and percentage of blast cells) of the patients were performed. Results: The FHIT gene was expressed at $2.49{\pm}7.37$ of ALL patients against $14.4{\pm}17.9$ in the healthy volunteers. The difference in the expression levels between ALL patients and healthy volunteers was statistically significant. The rate of gene expression did not significantly vary with immunophenotype subtypes. Gene expression was also found to be correlated with increase of total leukocyte and decrease in platelets, but not with age, gender, immunophenotyping or percentage of blast cells. Conclusions: FHIT gene expression is low in acute lymphoblastic leukemia and could be a useful marker to monitor minimal residual disease. This gene is also a candidate target for the immunotherapy of acute lymphoblastic leukemia.

Regulation of Laminin Chain Gene Expression by Ovaria Steroid Hormones in Uterine Tissues of Ovariectomized Mice

  • Chanseob Shim;Dongho Geum;Park, Donchan
    • Animal cells and systems
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    • v.1 no.1
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    • pp.115-121
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    • 1997
  • To precisely analyze the role of ovarian steroids in the regulation of laminin chain gene expression in mouse uterine tissues, the ovariectomized mouse model was used. Ovariectomized mice received a single injection of steroid hormones and total RNA was isolated from whole uterine tissues. Messenger RNA levels of each laminin chain (A, 81, and 82) were determined by competitive RT-peR procedures. Estradiol decreased mRNA levels of laminin 81 chain about two-fold, and 82 chain rather moderately. Estradiol-induced inhibition of laminin 81 and 82 chain mRNA levels were completely blocked by pretreatment with estrogen receptor antagonist tamoxifen. Estriol, a short acting estrogen which cannot induce hyperplastic responses of rodent uterine tissues, also showed an inhibitory effect on 81 and 82 chain mRNA levels, while estrone, an inactive estrogen, failed to influence either 8 chain mRNA levels. Effects of steroids on A chain mRNA level were quite different from those on 8 chains. Laminin A chain mRNA level was slightly increased by estradiol treatment, but negatively affected by progesterone. Progesterone treatment greatly increased both 8 chain mRNA levels, but slightly decreased A chain mRNA level compared to the control. The effect of progesterone on laminin chain-specific mRNA levels was further increased by co-injection of estradiol in a time-dependent manner. Progesterone-induced 81 and 82 chain mRNA transcription was inhibited by RU486, a synthetic anti-progesterone /anti-glucocorticoid. The present study demonstrates for the first time that steroids are able to regulate laminin gene expression in mouse uterine tissues, indicating that steroid-regulated laminin gene expression is involved in uterine growth and probably differentiation.

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The Function of ArgE Gene in Transgenic Rice Plants

  • Guo, Jia;Seong, Eun-Soo;Cho, Joon-Hyeong;Wang, Myeong-Hyeon
    • Korean Journal of Plant Resources
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    • v.20 no.6
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    • pp.524-529
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    • 2007
  • We carried out to study the function of ArgE in transgenic rice plants, which were confirmed by PCR analysis and hygromycin selection. Transgenic rice plants were with selectable marker gene(HPT) inserted in genome of the rice. Southern analysis with hpt probe confirmed by two restriction enzymes that copy numbers of the selectable gene was introduced into the plant genome. We displayed that the relationship between drought stress and ArgE gene with the overexpressing rice plants. From this result, we observed that the degree of leaves damage has no difference in control and transgenic lines. The total RNAs were extracted from 6 weeks-seedling in normal condition in order to examine their expression levels with ArgE-overexpressed transgenic rice. In particular, expression patterns of genes encoding enzymes involved in abiotic stress, including drought and salt stresses. OsGF14a and OsSalt were investigated by reverse transcription-PCR(RT-PCR). Expression levels of the OsSalt gene decreased significantly in transgenic rice plants compared to control plant. However, ion leakage measurement did not demonstrate any leaves damage change between control and ArgE transgenic plants exposure to mannitol treatment. These results suggest that expression of the ArgE is not involved in tolerance for drought stress in rice but may playa role of signaling networks for salt-induced genes.