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10.1186/s13059-015-0682-5 http://scihub22266oqcxt.onion/10.1186/s13059-015-0682-5 C4502471!4502471!26047612     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 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Genome+Biol 2015 ; 16 (1): ä Nephropedia Template TP {{tp|p=26047612|t=2015. Differential connectivity of splicing activators and repressors to the human spliceosome |pdf=|usr=}}{{26047612}} gab.com Text Differential connectivity of splicing activators and repressors to the human spliceosome JO: Genome Biol http://www.kidney.de/pget.php?&tw=1&pmid=26047612 #FOAvip Background: During spliceosome assembly, protein-protein interactions (PPI) are sequentially formed and disrupted to accommodate the spatial requirements of pre-mRNA substrate recognition and catalysis. Splicing activators and repressors, such as SR proteins and hnRNPs, modulate spliceosome assembly and regulate alternative splicing. However, it remains unclear how they differentially interact with the core spliceosome to perform their functions. Results: Here, we investigate the protein connectivity of SR and hnRNP proteins to the core spliceosome using probabilistic network reconstruction based on the integration of interactome and gene expression data. We validate our model by immunoprecipitation and mass spectrometry of the prototypical splicing factors SRSF1 and hnRNPA1. Network analysis reveals that a factor?s properties as an activator or repressor can be predicted from its overall connectivity to the rest of the spliceosome. In addition, we discover and experimentally validate PPIs between the oncoprotein SRSF1 and members of the anti-tumor drug target SF3 complex. Our findings suggest that activators promote the formation of PPIs between spliceosomal sub-complexes, whereas repressors mostly operate through protein-RNA interactions. Conclusions: This study demonstrates that combining in-silico modeling with biochemistry can significantly advance the understanding of structure and function relationships in the human spliceosome. Electronic supplementary material: The online version of this article (doi:10.1186/s13059-015-0682-5) contains supplementary material, which is available to authorized users. Twit Text FOAVip Differential connectivity of splicing activators and repressors to the human spliceosome ????Genome Biol http://www.kidney.de/pget.php?&tw=1&pmid=26047612 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26047612 #FOAvip English Wikipedia <ref>{{Cite pmid|26047612}}</ref> Differential connectivity of splicing activators and repressors to the human spliceosome #MMPMID26047612 Akerman M; Fregoso OI; Das S; Ruse C; Jensen MA; Pappin DJ; Zhang MQ; Krainer AR Genome Biol 2015[]; 16 (1): ä PMID26047612show ga Background: During spliceosome assembly, protein-protein interactions (PPI) are sequentially formed and disrupted to accommodate the spatial requirements of pre-mRNA substrate recognition and catalysis. Splicing activators and repressors, such as SR proteins and hnRNPs, modulate spliceosome assembly and regulate alternative splicing. However, it remains unclear how they differentially interact with the core spliceosome to perform their functions. Results: Here, we investigate the protein connectivity of SR and hnRNP proteins to the core spliceosome using probabilistic network reconstruction based on the integration of interactome and gene expression data. We validate our model by immunoprecipitation and mass spectrometry of the prototypical splicing factors SRSF1 and hnRNPA1. Network analysis reveals that a factor?s properties as an activator or repressor can be predicted from its overall connectivity to the rest of the spliceosome. In addition, we discover and experimentally validate PPIs between the oncoprotein SRSF1 and members of the anti-tumor drug target SF3 complex. Our findings suggest that activators promote the formation of PPIs between spliceosomal sub-complexes, whereas repressors mostly operate through protein-RNA interactions. Conclusions: This study demonstrates that combining in-silico modeling with biochemistry can significantly advance the understanding of structure and function relationships in the human spliceosome. Electronic supplementary material: The online version of this article (doi:10.1186/s13059-015-0682-5) contains supplementary material, which is available to authorized users. äDifferential connectivity of splicing activators and repressors to the(epmc).pdf DeepDyve Pubget Overpricing