• 제목/요약/키워드: Molecular Analysis

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Association between p16 Promoter Methylation and Thyroid Cancer Risk: A Meta-analysis

  • Wu, Wei;Yang, Sheng-Fu;Liu, Fei-Fei;Zhang, Ji-Hong
    • Asian Pacific Journal of Cancer Prevention
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    • 제16권16호
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    • pp.7111-7115
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    • 2015
  • Background: The aim of the meta-analysis was to derive a more precise assessment of the association between p16 promoter methylation and thyroid cancer risk. Materials and Methods: The PubMed, Web of Science databases and Chinese CNKI were searched for relevant articles. Ultimately, seventeen case-control studies were included with a total of 804 thyroid cancer cases and 487 controls analysis by R Software (R version 3.1.2) including meta. Crude odds ratios with 95% confidence intervals were calculated using the random-effects model which were used to assess the strength of relationship between p16 methylation and lung carcinogenesis. Funnel plots were carried out to evaluate publication bias. Results: The meta-analysis results showed that the frequency of p16 promoter methylation in cancer tissue/blood was significantly higher than that normal tissue/blood (OR=5.46, 95%CI 3.12-9.55, P<0.0001) by random effects model with small heterogeneity. Conclusions: Thus, p16 promoter methylation may be associated with thyroid cancer risk.

Analysis of Molecular Pathways in Pancreatic Ductal Adenocarcinomas with a Bioinformatics Approach

  • Wang, Yan;Li, Yan
    • Asian Pacific Journal of Cancer Prevention
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    • 제16권6호
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    • pp.2561-2567
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    • 2015
  • Pancreatic ductal adenocarcinoma (PDAC) is a leading cause of cancer death worldwide. Our study aimed to reveal molecular mechanisms. Microarray data of GSE15471 (including 39 matching pairs of pancreatic tumor tissues and patient-matched normal tissues) was downloaded from Gene Expression Omnibus (GEO) database. We identified differentially expressed genes (DEGs) in PDAC tissues compared with normal tissues by limma package in R language. Then GO and KEGG pathway enrichment analyses were conducted with online DAVID. In addition, principal component analysis was performed and a protein-protein interaction network was constructed to study relationships between the DEGs through database STRING. A total of 532 DEGs were identified in the 38 PDAC tissues compared with 33 normal tissues. The results of principal component analysis of the top 20 DEGs could differentiate the PDAC tissues from normal tissues directly. In the PPI network, 8 of the 20 DEGs were all key genes of the collagen family. Additionally, FN1 (fibronectin 1) was also a hub node in the network. The genes of the collagen family as well as FN1 were significantly enriched in complement and coagulation cascades, ECM-receptor interaction and focal adhesion pathways. Our results suggest that genes of collagen family and FN1 may play an important role in PDAC progression. Meanwhile, these DEGs and enriched pathways, such as complement and coagulation cascades, ECM-receptor interaction and focal adhesion may be important molecular mechanisms involved in the development and progression of PDAC.

봉독약침(蜂毒藥鍼)의 항암효과(抗癌效果)에 대한 분자생물학적(分子生物學的) 연구(硏究) (Molecular Biological Study of Anti-cancer Effects of Bee Venom Aqua-acupuncture)

  • 박찬열;서정철;최도영;안병철
    • 대한약침학회지
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    • 제3권1호
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    • pp.1-19
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    • 2000
  • To study anti-cancer effect and molecular biological mechanism of bee venom for aqua-acupuncture, the effects of bee venom on cell viability and apoptosis were analyzed using MTT assay, tryphan blue assay, $[^3H]$thymidine release assay, flow cytometric analysis, and activity of caspase-3 protease activity assay. To explore whether anti-cancer effects of bee venom are associated with the transcriptional control of gene expression, quantitative RT-PCR analysis of apoptosis-related genes was performed. The obtained results are summarized as follows: 1. The MTT assay demonstrated that cell viability was decreased by bee venom in a dose-dependant manner. 2. Significant induction of apoptosis was identified using tryphan blue assay, $[^3H]$thymidine release assay, and flow cytomet1 ric analysis of sub $G_1$ fraction. 3. In analysis of caspase-3 protease activity, the activity had increased significantly, in a dose-dependant manner. 4. Quantitative RT-PCR analysis of the apoptosis-related genes showed that Bcl-2 and Bcl-$X_L$ were down-regulated whereas Bax was up-regulated by bee venom treatment.

Condensation of DNA by a Histone-like Protein in Escherichia coli

  • Kim, So-Youn;Hwang, Deog-Su
    • BMB Reports
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    • 제28권2호
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    • pp.143-148
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    • 1995
  • In E. coli, chromosomal DNA associated with proteins is condensed into an organized structure known as nucleoid. Using a nitrocellulose filter binding assay to identify proteins forming nucleoid, a 21 kDa protein was purified from E. coli. The molecular weight of the purified protein was 21 kDa on SDS-polyactylamide gel electrophoresis and 24 kDa on gel permeation chromatography. A molecular weight of 21 kDa on SDS-polyacrylamide gel electrophoresis is unique among known proteins which are believed to be involved in the formation of nucleoid in E. coli. The 21 kDa protein nonspecifically binds to both double-stranded and single-stranded DNA. Sedimentation in a sucrose gradient revealed that the protein induced significant condensation of both supercoiled plasmid DNA and linear bacteriophage $\lambda$ DNA On the basis of quantitative Western-blot analysis, approximately 40,000 molecules of the protein were estimated to exist in an E. coli. The biochemical properties and cellular abundance of the 21 kDa protein suggest that this protein participates in the formation of nucleoid in E. coli.

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Insulin Resistance Does Not Influence Gene Expression in Skeletal Muscle

  • Nguyen, Lisa L.;Kriketos, Adamandia D.;Hancock, Dale P.;Caterson, Ian D.;Denyer, Gareth S.
    • BMB Reports
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    • 제39권4호
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    • pp.457-463
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    • 2006
  • Insulin resistance is commonly observed in patients prior to the development of type 2 diabetes and may predict the onset of the disease. We tested the hypothesis that impairment in insulin stimulated glucose-disposal in insulin resistant patients would be reflected in the gene expression profile of skeletal muscle. We performed gene expression profiling on skeletal muscle of insulin resistant and insulin sensitive subjects using microarrays. Microarray analysis of 19,000 genes in skeletal muscle did not display a significant difference between insulin resistant and insulin sensitive muscle. This was confirmed with real-time PCR. Our results suggest that insulin resistance is not reflected by changes in the gene expression profile in skeletal muscle.

Possible Involvement of Rearranged Proto-oncogene in T Cell Malignancy

  • Lee, Kwang-Ho;Lee, Seung-Gak;Park, Tae-Kyu
    • BMB Reports
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    • 제28권5호
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    • pp.414-419
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    • 1995
  • The retroviruses carrying ${\nu}-myc$ and ${\nu}-raf$ oncogenes were infected into fetal thymic organ culture (FTOC) to study the molecular mechanisms involved in T cell development. T cell lymphomas in the different stages of T cell development were obtained from this culture system. Interestingly, a few cell lines obtained from this system have a lack of transfected oncogenes, however these cells have the characteristics of transformed cells. In spite of the discrete phenotype of these transformed cell lines, the same pattern of recombination of endogenous c-raf genes was detected from Southern blot analysis. We suggest in this regard that the translocation event of thymocytes, or abnormal promoter activity, can cause lymphomagenesis by way of c-raf.

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Analyses of alternative polyadenylation: from old school biochemistry to high-throughput technologies

  • Yeh, Hsin-Sung;Zhang, Wei;Yong, Jeongsik
    • BMB Reports
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    • 제50권4호
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    • pp.201-207
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    • 2017
  • Alternations in usage of polyadenylation sites during transcription termination yield transcript isoforms from a gene. Recent findings of transcriptome-wide alternative polyadenylation (APA) as a molecular response to changes in biology position APA not only as a molecular event of early transcriptional termination but also as a cellular regulatory step affecting various biological pathways. With the development of high-throughput profiling technologies at a single nucleotide level and their applications targeted to the 3'-end of mRNAs, dynamics in the landscape of mRNA 3'-end is measureable at a global scale. In this review, methods and technologies that have been adopted to study APA events are discussed. In addition, various bioinformatics algorithms for APA isoform analysis using publicly available RNA-seq datasets are introduced.

Estimation of Genetic Variation of Korean Isolates of Phytophthora capsici by Using Molecular Markers

  • Chee, Hee-Youn;Jee, Hyeong-Jin
    • Mycobiology
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    • 제29권1호
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    • pp.43-47
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    • 2001
  • Genetic diversity of 21 Korean Phytophthora capsici isolates was analyzed by using several molecular markers such as random amplified polymorphic DNA(RAPD), M-13, microsatellite and random amplified microsatellite sequences(RAMS). The overall average similarity coefficient among the isolates was 86% based on the combined data obtained by the molecular markers. No molecular markers were found to be associated with hosts or geographic regions. In addition to RAPD, analysis based on repeated sequences such as $(GTG)_5$, M-13 and RAMS could be used to assess population structure of P. capsici.

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Analysis of Two-Dimensional Flow Fields in the Multi-Stage Turbomolecular Pump Using the DSMC Method

  • Heo, Joong-Sik;Hwang, Young-Kyu
    • International Journal of Air-Conditioning and Refrigeration
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    • 제9권2호
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    • pp.8-18
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    • 2001
  • The direct simulation Monte Carlo Method is applied to investigate the two-dimensional flow fields of a turbomolecular pump(TMP) in both molecular and transition flow regions. The pumping characteristics of the TMP are investigated for a wide range of the Knudsen number. The maximum of compression ratio and of pumping speed strongly depend on the Knudsen number in transition region, while they weakly depend on the Knudsen number in free molecular flow region. The present numerical results show good agreement with the previously known experimental data. Finally. the results of the single blade row in both molecular and transition regions are used to predict the overall performance of a TMP, which has three kinds of blade with 24-rows.

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