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10.1186/s12885-018-4421-7 http://scihub22266oqcxt.onion/10.1186/s12885-018-4421-7 C5924487!5924487!29703163     free     free     free Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       BMC+Cancer 2018 ; 18 (ä): ä Nephropedia Template TP {{tp|p=29703163|t=2018. Development of a computational promoter with highly efficient expression in tumors |pdf=|usr=}}{{29703163}} gab.com Text Development of a computational promoter with highly efficient expression in tumors JO: BMC Cancer http://www.kidney.de/pget.php?&tw=1&pmid=29703163 #FOAvip Background: Gene therapy is a potent method to increase the therapeutic efficacy against cancer. However, a gene that is specifically expressed in the tumor area has not been identified. In addition, nonspecific expression of therapeutic genes in normal tissues may cause side effects that can harm the patients? health. Certain promoters have been reported to drive therapeutic gene expression specifically in cancer cells; however, low expression levels of the target gene are a problem for providing good therapeutic efficacy. Therefore, a specific and highly expressive promoter is needed for cancer gene therapy. Methods: Bioinformatics approaches were utilized to analyze transcription factors (TFs) from high-throughput data. Reverse transcription polymerase chain reaction, western blotting and cell transfection were applied for the measurement of mRNA, protein expression and activity. C57BL/6JNarl mice were injected with pD5-hrGFP to evaluate the expression of TFs. Results: We analyzed bioinformatics data and identified three TFs, nuclear factor kappa-light-chain-enhancer of activated B cells (NF-?B), cyclic AMP response element binding protein (CREB), and hypoxia-inducible factor-1? (HIF-1?), that are highly active in tumor cells. Here, we constructed a novel mini-promoter, D5, that is composed of the binding sites of the three TFs. The results show that the D5 promoter specifically drives therapeutic gene expression in tumor tissues and that the strength of the D5 promoter is directly proportional to tumor size. Conclusions: Our results show that bioinformatics may be a good tool for the selection of appropriate TFs and for the design of specific mini-promoters to improve cancer gene therapy. Electronic supplementary material: The online version of this article (10.1186/s12885-018-4421-7) contains supplementary material, which is available to authorized users. Twit Text FOAVip Development of a computational promoter with highly efficient expression in tumors ????BMC Cancer http://www.kidney.de/pget.php?&tw=1&pmid=29703163 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=29703163 #FOAvip English Wikipedia <ref>{{Cite pmid|29703163}}</ref> Development of a computational promoter with highly efficient expression in tumors #MMPMID29703163 Ho SY; Chang BH; Chung CH; Lin YL; Chuang CH; Hsieh PJ; Huang WC; Tsai NM; Huang SC; Liu YK; Lo YC; Liao KW BMC Cancer 2018[]; 18 (ä): ä PMID29703163show ga Background: Gene therapy is a potent method to increase the therapeutic efficacy against cancer. However, a gene that is specifically expressed in the tumor area has not been identified. In addition, nonspecific expression of therapeutic genes in normal tissues may cause side effects that can harm the patients? health. Certain promoters have been reported to drive therapeutic gene expression specifically in cancer cells; however, low expression levels of the target gene are a problem for providing good therapeutic efficacy. Therefore, a specific and highly expressive promoter is needed for cancer gene therapy. Methods: Bioinformatics approaches were utilized to analyze transcription factors (TFs) from high-throughput data. Reverse transcription polymerase chain reaction, western blotting and cell transfection were applied for the measurement of mRNA, protein expression and activity. C57BL/6JNarl mice were injected with pD5-hrGFP to evaluate the expression of TFs. Results: We analyzed bioinformatics data and identified three TFs, nuclear factor kappa-light-chain-enhancer of activated B cells (NF-?B), cyclic AMP response element binding protein (CREB), and hypoxia-inducible factor-1? (HIF-1?), that are highly active in tumor cells. Here, we constructed a novel mini-promoter, D5, that is composed of the binding sites of the three TFs. The results show that the D5 promoter specifically drives therapeutic gene expression in tumor tissues and that the strength of the D5 promoter is directly proportional to tumor size. Conclusions: Our results show that bioinformatics may be a good tool for the selection of appropriate TFs and for the design of specific mini-promoters to improve cancer gene therapy. Electronic supplementary material: The online version of this article (10.1186/s12885-018-4421-7) contains supplementary material, which is available to authorized users. äDevelopment of a computational promoter with highly efficient expressi(epmc).pdf DeepDyve Pubget Overpricing