• Title/Summary/Keyword: expression profile

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MicroRNA Analysis during Cultured Odontoblast Differentiation

  • Park, Min-Gyeong;Lee, Myoung-Hwa;Yu, Sun-Kyoung;Park, Eu-Teum;Kim, Seog;Lee, Seul-Ah;Moon, Yeon-Hee;Kim, Heung-Joong;Kim, Chun-Sung;Kim, Do-Kyung
    • International Journal of Oral Biology
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    • v.37 no.3
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    • pp.146-152
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    • 2012
  • MicroRNAs (miRNAs, miRs) are about 21-25 nucleotides in length and regulate mRNA translation by base pairing to partially complementary sites, predominantly in the 3'-untranslated region (3'-UTR) of the target mRNA. In this study, the expression profile of miRNAs was compared and analyzed for the establishment of miRNA-related odontoblast differentiation using MDPC-23 cells derived from mouse dental papilla cells. To determine the expression profile of miRNAs during the differentiation of MDPC-23 cells, we employed miRNA microarray analysis, quantitative real-time PCR (qRT-PCR) and Alizaline red-S staining. In the miRNA microarray analysis, 11 miRNAs were found to be up- or down-regulated more than 3-fold between day 0 (control) and day 5 of MDPC-23 cell differentiation among the 1,769 miRNAs examined. In qRT-PCR analysis, the expression levels of two of these molecules, miR-194 and miR-126, were increased and decreased in the control MDPC-23 cells compared with the MDPC-23 cells at day 5 of differentiation, respectively. Importantly, the overexpression of miR-194 significantly accelerated mineralization compared with the control cultures during the differentiation of MDPC-23 cells. These results suggest that the miR-194 augments MDPC-23 cell differentiation, and potently accelerates the mineralization process. Moreover, these in vitro results show that different miRNAs are deregulated during the differentiation of MDPC-23 cells, suggesting the involvement of these genes in the differentiation and mineralization of odontoblasts.

Microarray Analysis of CD/cytokine Gene Expression in Human Mast Cell treated with Bee Venom (봉독약침액(蜂毒藥鍼液)이 비만세포주의 CD/cytokine 유전자(遺傳子) 발현(發現)에 미치는 영향(影響))

  • Lee, Woong-kyung;Kang, Sung-keel;Koh, Hyung-kyun
    • Journal of Acupuncture Research
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    • v.20 no.5
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    • pp.50-62
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    • 2003
  • Objective: Bee Venom(BV) has been used for various kinds of inflammatory or painful conditions in Oriental Medicine clinics, and there publishes reports on its therapeutic effects and the probable mechanism of those therapeutic effects, where CDs and cytokines plays important role. This study investigated the influences of bee venom on the expressions of CDs and cytokines of HMC cell line Methods: In this study we analysed the expression profile of HMC cell line treated with BV of 10-2ug/ml in relation to that of HMC cell line treated with vehicle by way of CD/cytokine microarray hybridization with 342 genes on it. Results: There were no upregulated genes by more than 3 fold, while there showed some downregulated genes by less than 1/3 fold as follows: colony stimulating factor 2, CD122, IL-7, CD112, TNF-alpha, CD138, CD166, TGFbetaR2, CD42b, CD62L, CD111, interleukin 10 receptor alpha, colony stimulating factor 1(macrophage), CD38 antigen(p45), CD121a, CD33 antigen(gp67), colony stimulating factor 1 receptor, B cell linker protein (SLP65) mRNA, CD94, alanyl(membrane) aminopeptidase, immunoglobulin(CD79A) binding protein 1, CD205, CD241, CD207, CDw121b, integrin alpha L(CD11a), integrin beta 1(CD29), CD91, CD42b. Conclusions: Bee venom treatment induced downregulation of some CDs or cytokines including $TNF-{\alpha}$. IL-1R with its possible implication in an antiinflammatory action of BV. Further research on expression profile changes induced by BV treatment is expected.

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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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    • v.14 no.11
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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.

Comparison of Plasma Proteome Expression between the Young and Mature Adult Pigs

  • Jeong, Jin Young;Nam, Jin Sun;Kim, Jang Mi;Jeong, Hak Jae;Kim, Kyung Woon;Lee, Hyun-Jeong
    • Reproductive and Developmental Biology
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    • v.37 no.4
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    • pp.247-253
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    • 2013
  • Here, we present an approach of blood plasma proteome profiling and their comparisons between the young and the adult pigs as prerequisite for the identification of bio-markers related to the health conditions, growth performance and meat quality. To profile the proteome in porcine plasma, blood samples were collected from 19 young piglets and 20 adult male barrows and the plasma was retrieved. Then, protein profiling was initiated using one and two-dimensional electrophoresis. Proteins were spotted and then identified by MALDI-TOF-TOF and LC-MS-MS. In the results, more than thirty-six and twenty eight protein spots were selected in young piglets and adult pigs, respectively and twenty three proteins were identified. The proteome profile images were compared between those ones using Image Master Version 7.0. The image of expressed proteome showed that most of proteins from plasma of young piglet separated clearly and concentrated in 2DE display compared to ones from adult. Image analysis in detail was carried out to look for the specific proteins related to age progression. It demonstrated that the characteristics of proteome expression could be distinct to their age stages. Further investigations needed to proceed to understand the age dependent change of protein conformation and biological meaning of those differences in proteome expression between young and mature adult pigs.

microRNA Expression Profile in Patients with Stage II Colorectal Cancer: A Turkish Referral Center Study

  • Tanoglu, Alpaslan;Balta, Ahmet Ziya;Berber, Ufuk;Ozdemir, Yavuz;Emirzeoglu, Levent;Sayilir, Abdurrahim;Sucullu, Ilker
    • Asian Pacific Journal of Cancer Prevention
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    • v.16 no.5
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    • pp.1851-1855
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    • 2015
  • Background: There are increasing data about microRNAs (miRNA) in the literature, providing abundant evidence that they play important roles in pathogenesis and development of colorectal cancer. In this study, we aimed to investigate the miRNA expression profiles in surgically resected specimens of patients with recurrent and non-recurrent colorectal cancer. Materials and Methods: The study population included 40 patients with stage II colorectal cancer (20 patients with recurrent tumors, and 20 sex and age matched patients without recurrence), who underwent curative colectomy between 2004 and 2011 without adjuvant therapy. Expression of 16 miRNAs (miRNA-9, 21, 30d, 31, 106a, 127, 133a, 133b, 135b, 143, 145, 155, 182, 200a, 200c, 362) was verified by quantitative real-time polymerase chain reaction (qRT-PCR) in all resected colon cancer tissue samples and in corresponding normal colonic tissues. Data analyses were carried out using SPSS 15 software. Values were statistically significantly changed in 40 cancer tissues when compared to the corresponding 40 normal colonic tissues (p<0.001). MiR-30d, miR-133a, miR-143, miR-145 and miR-362 expression was statistically significantly downregulated in 40 resected colorectal cancer tissue samples (p<0.001). When we compared subgroups, miRNA expression profiles of 20 recurrent cancer tissues were similar to all 40 cancer tissues. However in 20 non-recurrent cancer tissues, miR-133a expression was not significantly downregulated, moreover miR-133b expression was significantly upregulated (p<0.05). Conclusions: Our study revealed dysregulation of expression of ten miRNAs in Turkish colon cancer patients. These miRNAs may be used as potential biomarkers for early detection, screening and surveillance of colorectal cancer, with functional effects on tumor cell behavior.

Quality Control Usage in High-Density Microarrays Reveals Differential Gene Expression Profiles in Ovarian Cancer

  • Villegas-Ruiz, Vanessa;Moreno, Jose;Jacome-Lopez, Karina;Zentella-Dehesa, Alejandro;Juarez-Mendez, Sergio
    • Asian Pacific Journal of Cancer Prevention
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    • v.17 no.5
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    • pp.2519-2525
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    • 2016
  • There are several existing reports of microarray chip use for assessment of altered gene expression in different diseases. In fact, there have been over 1.5 million assays of this kind performed over the last twenty years, which have influenced clinical and translational research studies. The most commonly used DNA microarray platforms are Affymetrix GeneChip and Quality Control Software along with their GeneChip Probe Arrays. These chips are created using several quality controls to confirm the success of each assay, but their actual impact on gene expression profiles had not been previously analyzed until the appearance of several bioinformatics tools for this purpose. We here performed a data mining analysis, in this case specifically focused on ovarian cancer, as well as healthy ovarian tissue and ovarian cell lines, in order to confirm quality control results and associated variation in gene expression profiles. The microarray data used in our research were downloaded from ArrayExpress and Gene Expression Omnibus (GEO) and analyzed with Expression Console Software using RMA, MAS5 and Plier algorithms. The gene expression profiles were obtained using Partek Genomics Suite v6.6 and data were visualized using principal component analysis, heat map, and Venn diagrams. Microarray quality control analysis showed that roughly 40% of the microarray files were false negative, demonstrating over- and under-estimation of expressed genes. Additionally, we confirmed the results performing second analysis using independent samples. About 70% of the significant expressed genes were correlated in both analyses. These results demonstrate the importance of appropriate microarray processing to obtain a reliable gene expression profile.

Expression of CYP1A1 and GSTP1 in Human Brain Tumor Tissues in Pakistan

  • Wahid, Mussarat;Mahjabeen, Ishrat;Baig, Ruqia Mehmood;Kayani, Mahmood Akhtar
    • Asian Pacific Journal of Cancer Prevention
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    • v.14 no.12
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    • pp.7187-7191
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    • 2013
  • Most of the exogenous and endogenous chemical compounds are metabolized by enzymes of xenobiotic processing pathways, including the phase I cytochrome p450 species. Carcinogens and their metabolites are generally detoxified by phase II enzymes like glutathione-S-transferases (GST). The balance of enzymes determines whether metabolic activation of pro-carcinogens or inactivation of carcinogens occurs. Under certain conditions, deregulated expression of xenobiotic enzymes may also convert endogenous substrates to metabolites that can facilitate DNA adduct formation and ultimately lead to cancer development. In this study, we aimed to test the association between deregulation of metabolizing genes and brain tumorigenesis. The expression profile of metabolizing genes CYP1A1 and GSTP1 was therefore studied in a cohort of 36 brain tumor patients and controls using Western blotting. In a second part of the study we analyzed protein expression of GSTs in the same study cohort by ELISA. CYP1A1 expression was found to be significantly high (p<0.001) in brain tumor as compared to the normal tissues, with ~4 fold (OR=4, 95%CI=0.43-37) increase in some cases. In contrast, the expression of GSTP1 was found to be significantly low in brain tumor tissues as compared to the controls (p<0.02). This down regulation was significantly higher (OR=0.05, 95%CI=0.006-0.51; p<0.007) in certain grades of lesions. Furthermore, GSTs levels were significantly down-regulated (p<0.014) in brain tumor patients compared to controls. Statistically significant decrease in GST levels was observed in the more advanced lesions (III-IV, p<0.005) as compared to the early tissue grades (I-II). Thus, altered expression of these xenobiotic metabolizing genes may be involved in brain tumor development in Pakistani population. Investigation of expression of these genes may provide information not only for the prediction of individual cancer risk but also for the prevention of cancer.

An analytical study on the heat transfer of the laminar filmwise condensation on a vertical surface (수직평판에서 층류막상 응축열전달에 관한 해석적 고찰)

  • 김형섭
    • Journal of the korean Society of Automotive Engineers
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    • v.2 no.1
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    • pp.21-31
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    • 1980
  • Two phase boundary layer equations of laminar filmwise condensation are solved by an approximate integral method under the following condition; saturated vapour flows vertically downward over a cooled surface of uniform temperature, the condensate film is so thin that the inertia and convection terms are neglected. The following conclusions are drawn under the above assumptions. 1. free convection In case of the linear temperature profile in a liquid film, numerical results for the average coefficients of heat transfer may be expressed as N $u_{m}$=4/3,(G $r_{l}$ /4.H)$^{1}$4/ and in case of the quadratic profile, numerical results may be expressed as N $u_{m}$=2/1.682,(G $r_{l}$ /H)$^{1}$4/. 2. Forced convection When the temperature profile is assumed to be linear in a liquid film, numerical results fir the average heat transfer coefficients may be expressed as N $u_{m}$=(A, R $e_{l}$ /H)$^{1}$2/. This expression is compared with the experimental results hitherto reported; For theoretical Nusselt number (N $u_{m}$)$_{th}$<2*10$^{4}$, the experimental Nusselt number (N $u_{m}$)$_{exp}$ is on the average larger than theoretical Nusselt number (N $u_{m}$)$_{th}$ by 30%. For (N $u_{m}$)$_{th}$>2*10$^{4}$, experimental Nusselt number (N $u_{m}$)$_{exp}$ is about 1.6 times as large as theoretical Nusselt number (N $u_{m}$)$_{th}$. These large deviation may be caused by the presence of turbulence in the liquid film. In case of the quadratic temperature profile in a liquid film, numerical results for the average coefficients of heat transfer may be expressed as N $u_{m}$'=(2,A,Re/H)$^{1}$2/. This formular shows that theoretical Nusselt number (N $u_{m}$)$_{th}$ is larger than experimental Nusselt number (N $u_{m}$)$_{exp}$ by 60%. It is speculated that when the temperature difference between cooled surface and saturated vapour is small, temperature profile in a liquid film is quadratic.quadratic.. quadratic.quadratic..atic..

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Comparison of gloverin gene expression patterns between domesticated and wild silkworms

  • Kim, Seong-Ryul;Choi, Kwang-Ho;Kim, Sung-Wan;Park, Seung-Won
    • International Journal of Industrial Entomology and Biomaterials
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    • v.33 no.2
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    • pp.113-120
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    • 2016
  • Bombyx mandarina is widely accepted as ancestor of B. mori. Silkworms are served as well-characterized models for understanding the mechanism for the genetic regulation of development. In this study, we performed RNA-Seq analysis to examine tissue-expression of gloverin isoforms of the silk-gland, mid-gut, and fat body in B. mandarina. BLAST analysis revealed that four gloverin isoform gene sequences of B. mandarina were highly similar to B. mori. To identify the difference between two species, the expression profile of gloverin was measured by semi- RT-PCR analysis. The specific expression of gloverin isoform genes was observed mainly in the fat body from B. mori but not B. mandarina. However, all of tissues in the wild-type silkworm could induce the upregulation of compared with the B. mori. To validate the sudden increase in gloverin gene expression in the mid-gut tissue of B. mandarina, we were using qRT-PCR. Relative mRNA expression rate of gloverin at the wild-type silkworm was much higher than domestic silkworm. Comparative genomics between domesticated and wild silkworms showed different tissue-expression levels in some of immune related genes. These results are suggesting a trend toward decreasing immunity related genes expression during domestication. Further studies are needed to elucidate the silkworm domestication and an invaluable resource for wild silkworm genomics research.

Analysis and Utilization of the Power Delay Profile Characteristics of Dispersive Fading Channels (시간 지연을 갖는 페이딩 채널의 전력 지연 분포 특성 분석 및 활용)

  • Park, Jong-Hyun;Kim, Jae-Won;Song, Eui-Seok;Sung, Won-Jin
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.32 no.8C
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    • pp.681-688
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    • 2007
  • Applying an appropriate received signal processing algorithm based on the channel characteristics is important to improve the receiver performance. Wireless channels in general exhibit various time-delay characteristics depending on their power delay profile. When the estimated channel power summation is used to determine the amount of time delay, a channel adaptive receiver structure can be implemented. In this paper, we derive a closed-form expression for the error probability of the channel classification when the estimated channel power summation is used to classify channel groups having different time delay characteristics, and present the performance gain utilizing multiple estimation results.