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10.1038/nprot.2015.031 http://scihub22266oqcxt.onion/10.1038/nprot.2015.031 C5597045!5597045!25837419     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 245.2 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\25837419.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Nat+Protoc 2015 ; 10 (5): 681-700 Nephropedia Template TP {{tp|p=25837419|t=2015. RNAi-based biosynthetic pathway screens to identify in vivo functions of non-nucleic-acid-based metabolites such as lipids |pdf=|usr=}}{{25837419}} gab.com Text RNAi-based biosynthetic pathway screens to identify in vivo functions of non-nucleic-acid-based metabolites such as lipids JO: Nat Protoc http://www.kidney.de/pget.php?&tw=1&pmid=25837419 #FOAvip The field of metabolomics continues to catalog new compounds, but their functional analysis remains technically challenging, and roles beyond metabolism are largely unknown. Unbiased genetic/RNAi screens are powerful tools to identify the in vivo functions of protein-encoding genes, but not of non-proteinaceous compounds such as lipids. They can, however, identify the biosynthetic enzymes ? of these compounds- findings that are usually dismissed, as these typically synthesize multiple products. Here, we provide a method using follow-on biosynthetic-pathway screens to identify the endpoint biosynthetic enzyme and thus the compound through which they act. The approach is based on the principle that all subsequently identified downstream biosynthetic enzymes contribute to the synthesis of at least this one end product. We describe how to: systematically target lipid biosynthetic pathways; optimize targeting conditions; take advantage of pathway branchpoints; and validate results by genetic assays and biochemical analyses. This approach extends the power of unbiased genetic/RNAi screens to identify in vivo functions of non-nucleic-acid-based metabolites beyond their metabolic roles. Twit Text FOAVip RNAi-based biosynthetic pathway screens to identify in vivo functions of non-nucleic-acid-based metabolites such as lipids ????Nat Protoc http://www.kidney.de/pget.php?&tw=1&pmid=25837419 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=25837419 #FOAvip English Wikipedia <ref>{{Cite pmid|25837419}}</ref> RNAi-based biosynthetic pathway screens to identify in vivo functions of non-nucleic-acid-based metabolites such as lipids #MMPMID25837419 Zhang H; Abraham N; Khan LA; Gobel V Nat Protoc 2015[May]; 10 (5): 681-700 PMID25837419show ga The field of metabolomics continues to catalog new compounds, but their functional analysis remains technically challenging, and roles beyond metabolism are largely unknown. Unbiased genetic/RNAi screens are powerful tools to identify the in vivo functions of protein-encoding genes, but not of non-proteinaceous compounds such as lipids. They can, however, identify the biosynthetic enzymes ? of these compounds- findings that are usually dismissed, as these typically synthesize multiple products. Here, we provide a method using follow-on biosynthetic-pathway screens to identify the endpoint biosynthetic enzyme and thus the compound through which they act. The approach is based on the principle that all subsequently identified downstream biosynthetic enzymes contribute to the synthesis of at least this one end product. We describe how to: systematically target lipid biosynthetic pathways; optimize targeting conditions; take advantage of pathway branchpoints; and validate results by genetic assays and biochemical analyses. This approach extends the power of unbiased genetic/RNAi screens to identify in vivo functions of non-nucleic-acid-based metabolites beyond their metabolic roles. äRNAi-based biosynthetic pathway screens to identify in vivo functions (epmc).pdf DeepDyve Pubget Overpricing