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10.1186/s12957-017-1242-0 http://scihub22266oqcxt.onion/10.1186/s12957-017-1242-0 C5609044!5609044!28934958     free     free     free Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 251.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       World+J+Surg+Oncol 2017 ; 15 (ä): ä Nephropedia Template TP {{tp|p=28934958|t=2017. Integrated network analysis to explore the key genes regulated by parathyroid hormone receptor 1 in osteosarcoma |pdf=|usr=}}{{28934958}} gab.com Text Integrated network analysis to explore the key genes regulated by parathyroid hormone receptor 1 in osteosarcoma JO: World J Surg Oncol http://www.kidney.de/pget.php?&tw=1&pmid=28934958 #FOAvip Background: As an invasive malignant tumor, osteosarcoma (OS) has high mortality. Parathyroid hormone receptor 1 (PTHR1) contributes to maintaining proliferation and undifferentiated state of OS. This study is designed to reveal the action mechanisms of PTHR1 in OS. Methods: Microarray dataset GSE46861, which included six PTHR1 knockdown OS samples and six control OS samples, was obtained from the Gene Expression Omnibus database. The differentially expressed genes (DEGs) were identified and then performed with enrichment analysis separately using the limma package and DAVID online tool. Then, protein-protein interaction (PPI) network and module analyses were conducted using Cytoscape software. Using the WebGestalt tool, microRNAs (miRNAs) were predicted for the DEGs involved in the PPI network. Following this, transcription factors (TFs) were predicted and an integrated network was constructed by Cytoscape software. Results: There were 871 DEGs in the PTHR1 knockdown OS samples compared with the control OS samples. Besides, upregulated ZFPM2 was involved in the miRNA-DEG regulatory network. Moreover, TF LEF1 was predicted for the miRNA-DEG regulatory network of the downregulated genes. In addition, LEF1, NR4A2, HAS2, and RHOC had higher degrees in the integrated network. Conclusions: ZFPM2, LEF1, NR4A2, HAS2, and RHOC might be potential targets of PTHR1 in OS. Twit Text FOAVip Integrated network analysis to explore the key genes regulated by parathyroid hormone receptor 1 in osteosarcoma ????World J Surg Oncol http://www.kidney.de/pget.php?&tw=1&pmid=28934958 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=28934958 #FOAvip English Wikipedia <ref>{{Cite pmid|28934958}}</ref> Integrated network analysis to explore the key genes regulated by parathyroid hormone receptor 1 in osteosarcoma #MMPMID28934958 Guan D; Tian H World J Surg Oncol 2017[]; 15 (ä): ä PMID28934958show ga Background: As an invasive malignant tumor, osteosarcoma (OS) has high mortality. Parathyroid hormone receptor 1 (PTHR1) contributes to maintaining proliferation and undifferentiated state of OS. This study is designed to reveal the action mechanisms of PTHR1 in OS. Methods: Microarray dataset GSE46861, which included six PTHR1 knockdown OS samples and six control OS samples, was obtained from the Gene Expression Omnibus database. The differentially expressed genes (DEGs) were identified and then performed with enrichment analysis separately using the limma package and DAVID online tool. Then, protein-protein interaction (PPI) network and module analyses were conducted using Cytoscape software. Using the WebGestalt tool, microRNAs (miRNAs) were predicted for the DEGs involved in the PPI network. Following this, transcription factors (TFs) were predicted and an integrated network was constructed by Cytoscape software. Results: There were 871 DEGs in the PTHR1 knockdown OS samples compared with the control OS samples. Besides, upregulated ZFPM2 was involved in the miRNA-DEG regulatory network. Moreover, TF LEF1 was predicted for the miRNA-DEG regulatory network of the downregulated genes. In addition, LEF1, NR4A2, HAS2, and RHOC had higher degrees in the integrated network. Conclusions: ZFPM2, LEF1, NR4A2, HAS2, and RHOC might be potential targets of PTHR1 in OS. äIntegrated network analysis to explore the key genes regulated by para(epmc).pdf DeepDyve Pubget Overpricing