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10.1038/ng.3192 http://scihub22266oqcxt.onion/10.1038/ng.3192 C4417758!4417758!25599403     free     free     free Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Nat+Genet 2015 ; 47 (3): 199-208 Nephropedia Template TP {{tp|p=25599403|t=2015. The Landscape of Long Noncoding RNAs in the Human Transcriptome |pdf=|usr=}}{{25599403}} gab.com Text The Landscape of Long Noncoding RNAs in the Human Transcriptome JO: Nat Genet http://www.kidney.de/pget.php?&tw=1&pmid=25599403 #FOAvip Long non-coding RNAs (lncRNAs) are emerging as important regulators of tissue physiology and disease processes including cancer. In order to delineate genome-wide lncRNA expression, we curated 7,256 RNA-Seq libraries from tumors, normal tissues, and cell lines comprising over 43 terabases of sequence from 25 independent studies. We applied ab initio assembly methodology to this dataset, yielding a consensus human transcriptome of 91,013 expressed genes. Over 68% (58,648) of genes were classified as lncRNAs, of which 79% (48,952) were previously unannotated. About 1% (597) of the lncRNAs harbored ultraconserved elements and 7% (3,900) overlapped disease-associated single nucleotide polymorphisms (SNPs). To prioritize lineage-specific, disease-associated lncRNA expression we employed non-parametric differential expression testing and nominated 7,942 lineage- or cancer-associated lncRNA genes. The lncRNA landscape characterized here may shed light into normal biology and cancer pathogenesis, and be valuable for future biomarker development. Twit Text FOAVip The Landscape of Long Noncoding RNAs in the Human Transcriptome ????Nat Genet http://www.kidney.de/pget.php?&tw=1&pmid=25599403 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=25599403 #FOAvip English Wikipedia <ref>{{Cite pmid|25599403}}</ref> The Landscape of Long Noncoding RNAs in the Human Transcriptome #MMPMID25599403 Iyer MK; Niknafs YS; Malik R; Singhal U; Sahu A; Hosono Y; Barrette TR; Prensner JR; Evans JR; Zhao S; Poliakov A; Cao X; Dhanasekaran SM; Wu YM; Robinson DR; Beer DG; Feng FY; Iyer HK; Chinnaiyan AM Nat Genet 2015[Mar]; 47 (3): 199-208 PMID25599403show ga Long non-coding RNAs (lncRNAs) are emerging as important regulators of tissue physiology and disease processes including cancer. In order to delineate genome-wide lncRNA expression, we curated 7,256 RNA-Seq libraries from tumors, normal tissues, and cell lines comprising over 43 terabases of sequence from 25 independent studies. We applied ab initio assembly methodology to this dataset, yielding a consensus human transcriptome of 91,013 expressed genes. Over 68% (58,648) of genes were classified as lncRNAs, of which 79% (48,952) were previously unannotated. About 1% (597) of the lncRNAs harbored ultraconserved elements and 7% (3,900) overlapped disease-associated single nucleotide polymorphisms (SNPs). To prioritize lineage-specific, disease-associated lncRNA expression we employed non-parametric differential expression testing and nominated 7,942 lineage- or cancer-associated lncRNA genes. The lncRNA landscape characterized here may shed light into normal biology and cancer pathogenesis, and be valuable for future biomarker development. äThe Landscape of Long Noncoding RNAs in the Human Transcriptome (epmc).pdf DeepDyve Pubget Overpricing