• Title/Summary/Keyword: Gene analysis

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Gene Co-Expression Network Analysis of Reproductive Traits in Bovine Genome

  • Lim, Dajeong;Cho, Yong-Min;Lee, Seung-Hwan;Chai, Han-Ha;Kim, Tae-Hun
    • Reproductive and Developmental Biology
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    • v.37 no.4
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    • pp.185-192
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    • 2013
  • Many countries have implemented genetic evaluation for fertility traits in recent years. In particular, reproductive trait is a complex trait and need to require a system-level approach for identifying candidate genes related to the trait. To find the candidate gene associated with reproductive trait, we applied a weighted gene co-expression network analysis from expression value of bovine genes. We identified three co-expressed modules associated with reproductive trait from bovine microarray data. Hub genes (ZP4, FHL2 and EGR4) were determined in each module; they were topologically centered with statistically significant value in the gene co-expression network. We were able to find the highly co-expressed gene pairs with a correlation coefficient. Finally, the crucial functions of co-expressed modules were reported from functional enrichment analysis. We suggest that the network-based approach in livestock may an important method for analyzing the complex effects of candidate genes associated with economic traits like reproduction.

Comparative Expression of Stress Related Genes in Response to Salt-stressed Aspen by Real-time RT-PCR

  • Ku, Ja-Jung;Kim, Yong-Yul
    • Korean Journal of Plant Resources
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    • v.21 no.3
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    • pp.210-215
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    • 2008
  • Gene-expression analysis is increasingly important in biological research, with real-time reverse PCR (RTPCR) becoming the method of choice for high-throughput and accurate expression profiling of selected genes. However, this technique requires important preliminary work for standardizing and optimizing the many parameters involved in the analysis. Plant stress studies are more and more based on gene expression. The analysis of gene expression requires sensitive and reproducible measurements for specific mRNA sequence. Several genes are regulated in response to abitoic stresses, such as salinity, and their gene products function in stress response and tolerance. The design of the primers and TaqMan probes for real-time PCR assays were carried out using the Primer $Express^{TM}$ software 3.0. The PCR efficiency was estimated through the linear regression of the dilution curve. To understand the expression pattern of various genes under salt stressed condition, we have developed a unique public resource of 9 stress-related genes in poplar. In this study, real-time RT-PCR was used to quantify the transcript level of 10 genes (9 stress-related genes and 1 house keeping gene) that could play a role in adaptation of Populus davidiana. Real-time RT-PCR analyses exhibited different expression ratios of related genes. The data obtained showed that determination of mRNA levels could constitute a new approach to study the stress response of P. davidiana after adaptation during growth in salinity condition.

Characterization of a Novel Gene in the Extended MHC Region of Mouse, NG29/Cd320, a Homolog of the Human CD320

  • Park, Hyo-Jin;Kim, Ji-Yeon;Jung, Kyung-In;Kim, Tae-Jin
    • IMMUNE NETWORK
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    • v.9 no.4
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    • pp.138-146
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    • 2009
  • Background: The MHC region of the chromosome contains a lot of genes involved in immune responses. Here we have investigated the mouse NG29/Cd320 gene in the centrometrically extended MHC region of chromosome 17. Methods: We cloned the NG29 gene by RT-PCR and confirmed the tissue distribution of its gene expression by northern blot hybridization. We generated the NG29 gene expression constructs and polyclonal antibody against the NG29 protein to perform the immunofluorescence, immunoprecipitation and flow cytometric analysis. Results: The murine NG29 gene and its human homologue, the CD320/8D6 gene, were similar in the gene structure and tissue expression patterns. We cloned the NG29 gene and confirmed its expression in plasma membrane and intracellular compartments by transfecting its expresssion constructs into HEK 293T cells. The immunoprecipitation studies with rabbit polyclonal antibody raised against the NG29-NusA fusion protein indicated that NG29 protein was a glycoprotein of about 45 kDa size. A flow cytometric analysis also showed the NG29 expression on the surface of Raw 264.7 macrophage cell line. Conclusion: These findings suggested that NG29 gene in mouse extended MHC class II region was the orthologue of human CD320 gene even though human CD320/8D6 gene was located in non-MHC region, chromosome 19p13.

Molecular and Biochemical Studies on the DNA Replication of Bacteriophage T7: Functional Analysis of Amino-terminal Region of Gene 2.5 Protein

  • Kim, Young-Tae;Lee, Sung-Gu;Kim, Hak-Jun
    • BMB Reports
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    • v.28 no.6
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    • pp.484-489
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    • 1995
  • The product of bacteriophage T7 gene 2.5 is a single-stranded DNA binding protein and plays an important role in T7 DNA replication, recombination, and repair. Genetic analysis of T7 phage defective in gene 2.5 shows that the gene 2.5 protein is essential for T7 DNA replication and growth (Kim and Richardson, 1993). The C-terminal truncated gene 2.5 protein ($GP2.5-{\Delta}21C$) cannot substitute for wild-type gene 2.5 protein in vivo; suggesting that the C-terminal domain of gene 2.5 protein is essential for protein-protein interactions (Kim and Richardson, 1994; J. Biol. Chem. 269, 5070-5078). Truncated gene 2.5 proteins lacking 19 residues ($GP2.5-{\Delta}19N$) and 39 residues ($GP2.5-{\Delta}39N$) from the amino-terminal domain were constructed by in vitro mutagenesis. $GP2.5-{\Delta}19N$ can support the growth of T7 phage lacking gene 2.5 while $GP2.5-{\Delta}39N$ cannot substitute for wild-type gene 2.5 protein in vivo; however, its ability to bind to single-stranded DNA is not affected. These results clearly demonstrate that the 20~39 amino-terminal region of gene 2.5 protein is required for T7 growth in vivo but may not be involved in DNA binding activity.

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Cloning and Characterization of BTG-1 Gene from Pacific Oyster (Crassostrea gigas) (참굴(Crassostrea gigas)의 BTG1 유전자의 특성)

  • Chung, In Young;Oh, Jeong Hwan;Song, Young Hwan
    • Journal of Life Science
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    • v.27 no.4
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    • pp.398-407
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    • 2017
  • BTG 1 (B-cell translocation gene 1) gene was first identified as a translocation gene in a case of B-cell chronic lympocytic leukemia. BTG1 is a member of the BTG/TOB family with sharing a conserved N-terminal region, which shows anti-proliferation properties and is able to stimulate cell differentiation. In this study, we identified and characterized the pacific oyster Crassostrea gigas BTG1 (cg-BTG1) gene from the gill cDNA library by an Expressed Sequence Tag (EST) analysis and its nucleotide sequence was determined. The cg-BTG1 gene encodes a predicted protein of 182 amino acids with 57% 56% identities to its zebrafish and human counterparts, and is an intron-less gene, which was confirmed by PCR analysis of genomic DNA. Maximal homologies were shown in conserved Box A and B. The deduced amino acid sequence shares high identity with other BTG1 genes of human, rat, mouse and zebrafish. The phylogenic analysis and sequence comparison of cg-BTG1 with other BTG1 were found to be closely related to the BTG1 gene structure. In addition, the predicted promoter region and the different transcription-factor binding site like an activator protein-1 (AP-1) response element involved in negative regulation and serum response element (SRE) were able to be identified by the genomic DNA walking experiment. The quantitative real-time PCR analysis showed that the mRNA of cg-BTG1 gene was expressed in gill, heart, digestive gland, intestine, stomach and mantle. The cg-BTG1 gene was expressed mainly in heart and mantle.

Genetic variants of the growth differentiation factor 8 affect body conformation traits in Chinese Dabieshan cattle

  • Zhao, Shuanping;Jin, Hai;Xu, Lei;Jia, Yutang
    • Animal Bioscience
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    • v.35 no.4
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    • pp.517-526
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    • 2022
  • Objective: The growth differentiation factor 8 (GDF8) gene plays a key role in bone formation, resorption, and skeletal muscle development in mammals. Here, we studied the genetic variants of GDF8 and their contribution to body conformation traits in Chinese Dabieshan cattle. Methods: Single nucleotide polymorphisms (SNPs) were identified in the bovine GDF8 gene by DNA sequencing. Phylogenetic analysis, motif analysis, and genetic diversity analysis were conducted using bioinformatics software. Association analysis between five SNPs, haplotype combinations, and body conformation traits was conducted in 380 individuals. Results: The GDF8 was highly conserved in seven species, and the GDF8 sequence of cattle was most similar to the sequences of sheep and goat based on the phylogenetic analysis. The motif analysis showed that there were 12 significant motifs in GDF8. Genetic diversity analysis indicated that the polymorphism information content of the five studied SNPs was within 0.25 to 0.5. Haplotype analysis revealed a total of 12 different haplotypes and those with a frequency of <0.05 were excluded. Linkage disequilibrium analysis showed a strong linkage (r2>0.330) between the following SNPs: g.5070C>A, g.5076T>C, and g.5148A>C. Association analysis indicated these five SNPs were associated with some of the body conformation traits (p<0.05), and the animals with haplotype combination H1H1 (-GGGG CCTTAA-) had greater wither height, hip height, heart girth, abdominal girth, and pin bone width than the other (p<0.05) Dabieshan cattle. Conclusion: Overall, our results indicate that the genetic variants of GDF8 affected the body conformation traits of Chinese Dabieshan cattle, and the GDF8 gene could make a strong candidate gene in Dabieshan cattle breeding programs.

Associations between the rs6010620 Polymorphism in RTEL1 and Risk of Glioma: a Meta-analysis of 20,711 Participants

  • Wu, Yao;Tong, Xiang;Tang, Ling-Li;Zhou, Kai;Zhong, Chuan-Hong;Jiang, Shu
    • Asian Pacific Journal of Cancer Prevention
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    • v.15 no.17
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    • pp.7163-7167
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    • 2014
  • Background: Associations between the rs6010620 polymorphism in the regulator of telomere elongation helicase1 (RTEL1) gene and glioma have been widely reported but the results were not inconclusive. The aim of the current study was to investigate the association between the rs6010620 polymorphism in RTEL1 gene and risk of glioma by meta-analysis. Materials and Methods: We searched PubMed, Embase, Wanfang Weipu and CNKI (China National Knowledge Infrastructure) databases, which included all research published 05 May 2014. A total of 8,292 cases and 12,419 controls from 14 case-control studies involving the rs6010620 polymorphism in the RTEL1 gene were included. Statistical analysis was performed using STATA 12.0 software. Results: The results indicated that the rs6010620 polymorphism in RTEL1 gene was indeed associated with risk of glioma (OR=1.474, 95%CI=1.282-1.694, p<0.001). On subgroup analysis by ethnicity, we found associations between the rs6010620 polymorphism in the RTEL1 gene and risk of glioma in both Caucasians and Asians. Conclusions: The current meta-analysis suggested that the rs6010620 polymorphism in the RTEL1 gene might increase risk of glioma. In future, larger case-control studies are needed to confirm our results.

Relationship Between the Prohibitin 3' Untranslated Region C > T Gene Polymorphism and Cancer Susceptibility - Results of a Meta-analysis

  • Zhou, Tian-Biao;Yin, Sheng-Sheng;Huang, Jian-Jian;Ou, Chao
    • Asian Pacific Journal of Cancer Prevention
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    • v.13 no.7
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    • pp.3319-3323
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    • 2012
  • Objective: The results from the published studies on the association between prohibitin 3' untranslated region C > T gene polymorphism and cancer risk are conflicting. This meta-analysis was performed to evaluate the relationship with cancer susceptibility overall, and to explore whether the T allele or TT genotype could become a predictive marker for cancer risk. Methods: Association studies were identified from the databases of PubMed, Embase, and Cochrane Library as of March 1, 2012, and eligible investigations were synthesized using the meta-analysis method. Results were expressed with odds ratios (OR) for dichotomous data, and 95% confidence intervals (CI) were also calculated. Results: Six investigations were identified for the analysis of association between the prohibitin 3' untranslated region C > T gene polymorphism and cancer risk, covering of 1,461 patients with cancer and 1,197 controls. There was a positive association between the T allele and cancer susceptibility (OR=1.20, 95% CI: 1.03-1.39, P=0.02), and CC homozygous might play a protective role (OR=0.80, 95% CI: 0.68-6.11, P=0.95). In the sub-group analysis, prohibitin 3' untranslated region C > T gene polymorphism and cancer risk appeared associated with the risk of breast cancer, but not ovarian cancer. Conclusions: Our results indicate that T allele is a significant genetic molecular marker to predict cancer susceptibility and CC genotype is protective, especially for breast cancer. However, more investigations are required to further clarify the association of the prohibitin 3' untranslated region C > T gene polymorphism with cancer susceptibility.

CDRgator: An Integrative Navigator of Cancer Drug Resistance Gene Signatures

  • Jang, Su-Kyeong;Yoon, Byung-Ha;Kang, Seung Min;Yoon, Yeo-Gha;Kim, Seon-Young;Kim, Wankyu
    • Molecules and Cells
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    • v.42 no.3
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    • pp.237-244
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    • 2019
  • Understanding the mechanisms of cancer drug resistance is a critical challenge in cancer therapy. For many cancer drugs, various resistance mechanisms have been identified such as target alteration, alternative signaling pathways, epithelial-mesenchymal transition, and epigenetic modulation. Resistance may arise via multiple mechanisms even for a single drug, making it necessary to investigate multiple independent models for comprehensive understanding and therapeutic application. In particular, we hypothesize that different resistance processes result in distinct gene expression changes. Here, we present a web-based database, CDRgator (Cancer Drug Resistance navigator) for comparative analysis of gene expression signatures of cancer drug resistance. Resistance signatures were extracted from two different types of datasets. First, resistance signatures were extracted from transcriptomic profiles of cancer cells or patient samples and their resistance-induced counterparts for >30 cancer drugs. Second, drug resistance group signatures were also extracted from two large-scale drug sensitivity datasets representing ~1,000 cancer cell lines. All the datasets are available for download, and are conveniently accessible based on drug class and cancer type, along with analytic features such as clustering analysis, multidimensional scaling, and pathway analysis. CDRgator allows meta-analysis of independent resistance models for more comprehensive understanding of drug-resistance mechanisms that is difficult to accomplish with individual datasets alone (database URL: http://cdrgator.ewha.ac.kr).

Genetic Diversity and Molecular Phylogeny of Cyanobacteria from Sri Lanka Based on 16S rRNA Gene

  • Wanigatunge, R.P.;Magana-Arachchi, D.N.;Chandrasekharan, N.V.;Kulasooriya, S.A.
    • Environmental Engineering Research
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    • v.19 no.4
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    • pp.317-329
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    • 2014
  • The diversity of cyanobacteria in Sri Lanka was studied in different water reservoirs, paddy fields, brackish water and tsunami affected areas using light microcopy, 16S rRNA sequences, followed by phylogenetic analysis. Based on light microscopy, 24 genera were identified from environmental samples belonging to the orders Chroococcales, Oscillatoriales, Pleurocapsales and Nostocales. In cultures, 33 genera were identified from all five cyanobacterial orders, including Stigonematales. Based on 16S rRNA gene sequences and their morphology, two isolates were identified up to species level, 72 to genus level, one isolate up to family and 11 up to order level. Twelve isolates couldn't be assigned to any taxonomic level. The results of 16S rRNA gene sequences along with the phylogenetic analysis indicated that some cyanobacterial isolates could be accommodated to genus or order level. The 16S rRNA sequence analysis data in this study confirmed that order Nostocales and order Pleurocapsales cyanobacteria are monophyletic while orders Chroococcales, Oscillatoriales and Stigonematales cyanobacteria are polyphyletic. Polyphasic approach including the combination of light microscopy, cultures and the analysis of 16S rRNA gene sequences provide a promising approach to ascertain the diversity of cyanobacteria in different habitats.