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10.1002/pmic.201400184 http://scihub22266oqcxt.onion/10.1002/pmic.201400184 C4270470!4270470!25266668     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       Proteomics 2014 ; 14 (ä): 2676-87 Nephropedia Template TP {{tp|p=25266668|t=2014. Leveraging the complementary nature of RNA-Seq and shotgun proteomics data |pdf=|usr=}}{{25266668}} gab.com Text Leveraging the complementary nature of RNA-Seq and shotgun proteomics data JO: Proteomics http://www.kidney.de/pget.php?&tw=1&pmid=25266668 #FOAvip RNA sequencing (RNA-Seq) and mass spectrometry-based shotgun proteomics are powerful high-throughput technologies for identifying and quantifying RNA transcripts and proteins respectively. With the increasing affordability of these technologies, many projects have started to apply both to the same samples to achieve a more comprehensive understanding of biological systems. A major analytical challenge for such integrative projects is how to effectively leverage the complementary nature of RNA-Seq and shotgun proteomics data. RNA-Seq provides comprehensive information on mRNA abundance, alternative splicing, nucleotide variation and structure alteration. Sample-specific protein databases derived from RNA-Seq data can better approximate the real protein pools in cell and tissue samples and thus improve protein identification. Meanwhile, proteomics data provides essential confirmation of the validity and functional relevance of novel findings from RNA-Seq data. At the quantitative level, mRNA and protein levels are only modestly correlated, suggesting strong involvement of post-transcriptional regulation in controlling gene expression. Here we review recent studies at the interface of RNA-Seq and proteomics data. We discuss goals, accomplishments and challenges in RNA-Seq-based proteogenomics. We also examine the current status and future potential of parallel transcriptome and proteome quantification in revealing post-transcriptional regulatory mechanisms. Twit Text FOAVip Leveraging the complementary nature of RNA-Seq and shotgun proteomics data ????Proteomics http://www.kidney.de/pget.php?&tw=1&pmid=25266668 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=25266668 #FOAvip English Wikipedia <ref>{{Cite pmid|25266668}}</ref> Leveraging the complementary nature of RNA-Seq and shotgun proteomics data #MMPMID25266668 Wang X; Liu Q; Zhang B Proteomics 2014[Dec]; 14 (ä): 2676-87 PMID25266668show ga RNA sequencing (RNA-Seq) and mass spectrometry-based shotgun proteomics are powerful high-throughput technologies for identifying and quantifying RNA transcripts and proteins respectively. With the increasing affordability of these technologies, many projects have started to apply both to the same samples to achieve a more comprehensive understanding of biological systems. A major analytical challenge for such integrative projects is how to effectively leverage the complementary nature of RNA-Seq and shotgun proteomics data. RNA-Seq provides comprehensive information on mRNA abundance, alternative splicing, nucleotide variation and structure alteration. Sample-specific protein databases derived from RNA-Seq data can better approximate the real protein pools in cell and tissue samples and thus improve protein identification. Meanwhile, proteomics data provides essential confirmation of the validity and functional relevance of novel findings from RNA-Seq data. At the quantitative level, mRNA and protein levels are only modestly correlated, suggesting strong involvement of post-transcriptional regulation in controlling gene expression. Here we review recent studies at the interface of RNA-Seq and proteomics data. We discuss goals, accomplishments and challenges in RNA-Seq-based proteogenomics. We also examine the current status and future potential of parallel transcriptome and proteome quantification in revealing post-transcriptional regulatory mechanisms. äLeveraging the complementary nature of RNA-Seq and shotgun proteomics (epmc).pdf DeepDyve Pubget Overpricing