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10.1016/j.cell.2014.10.050 http://scihub22266oqcxt.onion/10.1016/j.cell.2014.10.050 C4266588!4266588!25416956     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       Cell 2014 ; 159 (5): 1212-26 Nephropedia Template TP {{tp|p=25416956|t=2014. A proteome-scale map of the human interactome network |pdf=|usr=}}{{25416956}} gab.com Text A proteome-scale map of the human interactome network JO: Cell http://www.kidney.de/pget.php?&tw=1&pmid=25416956 #FOAvip Just as reference genome sequences revolutionized human genetics, reference maps of interactome networks will be critical to fully understand genotype-phenotype relationships. Here, we describe a systematic map of ~14,000 high-quality human binary protein-protein interactions. At equal quality, this map is ~30% larger than what is available from small-scale studies published in the literature in the last few decades. While currently available information is highly biased and only covers a relatively small portion of the proteome, our systematic map appears strikingly more homogeneous, revealing a ?broader? human interactome network than currently appreciated. The map also uncovers significant inter-connectivity between known and candidate cancer gene products, providing unbiased evidence for an expanded functional cancer landscape, while demonstrating how high quality interactome models will help ?connect the dots? of the genomic revolution. Twit Text FOAVip A proteome-scale map of the human interactome network ????Cell http://www.kidney.de/pget.php?&tw=1&pmid=25416956 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=25416956 #FOAvip English Wikipedia <ref>{{Cite pmid|25416956}}</ref> A proteome-scale map of the human interactome network #MMPMID25416956 Rolland T; Ta?an M; Charloteaux B; Pevzner SJ; Zhong Q; Sahni N; Yi S; Lemmens I; Fontanillo C; Mosca R; Kamburov A; Ghiassian SD; Yang X; Ghamsari L; Balcha D; Begg BE; Braun P; Brehme M; Broly MP; Carvunis AR; Convery-Zupan D; Corominas R; Coulombe-Huntington J; Dann E; Dreze M; Dricot A; Fan C; Franzosa E; Gebreab F; Gutierrez BJ; Hardy MF; Jin M; Kang S; Kiros R; Lin GN; Luck K; MacWilliams A; Menche J; Murray RR; Palagi A; Poulin MM; Rambout X; Rasla J; Reichert P; Romero V; Ruyssinck E; Sahalie JM; Scholz A; Shah AA; Sharma A; Shen Y; Spirohn K; Tam S; Tejeda AO; Wanamaker SA; Twizere JC; Vega K; Walsh J; Cusick ME; Xia Y; Barabási AL; Iakoucheva LM; Aloy P; De Las Rivas J; Tavernier J; Calderwood MA; Hill DE; Hao T; Roth FP; Vidal M Cell 2014[Nov]; 159 (5): 1212-26 PMID25416956show ga Just as reference genome sequences revolutionized human genetics, reference maps of interactome networks will be critical to fully understand genotype-phenotype relationships. Here, we describe a systematic map of ~14,000 high-quality human binary protein-protein interactions. At equal quality, this map is ~30% larger than what is available from small-scale studies published in the literature in the last few decades. While currently available information is highly biased and only covers a relatively small portion of the proteome, our systematic map appears strikingly more homogeneous, revealing a ?broader? human interactome network than currently appreciated. The map also uncovers significant inter-connectivity between known and candidate cancer gene products, providing unbiased evidence for an expanded functional cancer landscape, while demonstrating how high quality interactome models will help ?connect the dots? of the genomic revolution. äA proteome-scale map of the human interactome network (epmc).pdf DeepDyve Pubget Overpricing