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10.1186/s12864-017-3790-7 http://scihub22266oqcxt.onion/10.1186/s12864-017-3790-7 C5450082!5450082 !28558729     free     free     free Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\28558729 .jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       BMC+Genomics 2017 ; 18 (1 ): 418 Nephropedia Template TP {{tp|p=28558729 |t=2017. High-throughput validation of ceRNA regulatory networks |pdf=|usr=}}{{28558729 }} gab.com Text High-throughput validation of ceRNA regulatory networks JO: BMC Genomics http://www.kidney.de/pget.php?&tw=1&pmid=28558729 #FOAvip BACKGROUND: MicroRNAs (miRNAs) play multiple roles in tumor biology. Interestingly, reports from multiple groups suggest that miRNA targets may be coupled through competitive stoichiometric sequestration. Specifically, computational models predicted and experimental assays confirmed that miRNA activity is dependent on miRNA target abundance, and consequently, changes in the abundance of some miRNA targets lead to changes to the regulation and abundance of their other targets. The resulting indirect regulatory influence between miRNA targets resembles competition and has been dubbed competitive endogenous RNA (ceRNA). Recent studies have questioned the physiological relevance of ceRNA interactions, our ability to accurately predict these interactions, and the number of genes that are impacted by ceRNA interactions in specific cellular contexts. RESULTS: To address these concerns, we reverse engineered ceRNA networks (ceRNETs) in breast and prostate adenocarcinomas using context-specific TCGA profiles, and tested whether ceRNA interactions can predict the effects of RNAi-mediated gene silencing perturbations in PC3 and MCF7 cells._ENREF_22 Our results, based on tests of thousands of inferred ceRNA interactions that are predicted to alter hundreds of cancer genes in each of the two tumor contexts, confirmed statistically significant effects for half of the predicted targets. CONCLUSIONS: Our results suggest that the expression of a significant fraction of cancer genes may be regulated by ceRNA interactions in each of the two tumor contexts. Twit Text FOAVip High-throughput validation of ceRNA regulatory networks ????BMC Genomics http://www.kidney.de/pget.php?&tw=1&pmid=28558729 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=28558729 #FOAvip English Wikipedia <ref>{{Cite pmid|28558729 }}</ref> High-throughput validation of ceRNA regulatory networks #MMPMID28558729 Chiu HS ; Martínez MR ; Bansal M ; Subramanian A ; Golub TR ; Yang X ; Sumazin P ; Califano A BMC Genomics 2017[May]; 18 (1 ): 418 PMID28558729 show ga BACKGROUND: MicroRNAs (miRNAs) play multiple roles in tumor biology. Interestingly, reports from multiple groups suggest that miRNA targets may be coupled through competitive stoichiometric sequestration. Specifically, computational models predicted and experimental assays confirmed that miRNA activity is dependent on miRNA target abundance, and consequently, changes in the abundance of some miRNA targets lead to changes to the regulation and abundance of their other targets. The resulting indirect regulatory influence between miRNA targets resembles competition and has been dubbed competitive endogenous RNA (ceRNA). Recent studies have questioned the physiological relevance of ceRNA interactions, our ability to accurately predict these interactions, and the number of genes that are impacted by ceRNA interactions in specific cellular contexts. RESULTS: To address these concerns, we reverse engineered ceRNA networks (ceRNETs) in breast and prostate adenocarcinomas using context-specific TCGA profiles, and tested whether ceRNA interactions can predict the effects of RNAi-mediated gene silencing perturbations in PC3 and MCF7 cells._ENREF_22 Our results, based on tests of thousands of inferred ceRNA interactions that are predicted to alter hundreds of cancer genes in each of the two tumor contexts, confirmed statistically significant effects for half of the predicted targets. CONCLUSIONS: Our results suggest that the expression of a significant fraction of cancer genes may be regulated by ceRNA interactions in each of the two tumor contexts. |*Gene Regulatory Networks [MESH] |*High-Throughput Nucleotide Sequencing [MESH] |*Sequence Analysis, RNA [MESH] |Databases, Genetic [MESH] |Humans [MESH] |MCF-7 Cells [MESH]High-throughput validation of ceRNA regulatory networks (epmc).pdf DeepDyve Pubget Overpricing