Use my Search Websuite to scan PubMed, PMCentral, Journal Hosts and Journal Archives, FullText. Kick-your-searchterm to multiple Engines kick-your-query now !>

A dictionary by aggregated review articles of nephrology, medicine and the life sciences Your one-stop-run pathway from word to the immediate pdf of peer-reviewed on-topic knowledge.

10.1038/nature13302 http://scihub22266oqcxt.onion/10.1038/nature13302 C4403737!4403737!24870542     free     free     free       Nature 2014 ; 509 (7502): 575-81 Nephropedia Template TP {{tp|p=24870542|t=2014. A draft map of the human proteome |pdf=|usr=}}{{24870542}} gab.com Text A draft map of the human proteome JO: Nature http://www.kidney.de/pget.php?&tw=1&pmid=24870542 #FOAvip The availability of human genome sequence has transformed biomedical research over the past decade. However, an equivalent map for the human proteome with direct measurements of proteins and peptides does not exist yet. Here, we present a draft map of the human proteome using high resolution Fourier transform mass spectrometry. In-depth proteomic profiling of 30 histologically normal human samples including 17 adult tissues, 7 fetal tissues and 6 purified primary hematopoietic cells resulted in identification of proteins encoded by 17,294 genes accounting for ~84% of the total annotated protein-coding genes in humans. A unique and comprehensive strategy for proteogenomic analysis enabled us to discover a number of novel protein-coding regions, which includes translated pseudogenes, non-coding RNAs and upstream ORFs. This large human proteome catalog (available as an interactive web-based resource at http://www.humanproteomemap.org) will complement available human genome and transcriptome data to accelerate biomedical research in health and disease. Twit Text FOAVip A draft map of the human proteome ????Nature http://www.kidney.de/pget.php?&tw=1&pmid=24870542 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=24870542 #FOAvip English Wikipedia <ref>{{Cite pmid|24870542}}</ref> A draft map of the human proteome #MMPMID24870542 Kim MS; Pinto SM; Getnet D; Nirujogi RS; Manda SS; Chaerkady R; Madugundu AK; Kelkar DS; Isserlin R; Jain S; Thomas JK; Muthusamy B; Leal-Rojas P; Kumar P; Sahasrabuddhe NA; Balakrishnan L; Advani J; George B; Renuse S; Selvan LDN; Patil AH; Nanjappa V; Radhakrishnan A; Prasad S; Subbannayya T; Raju R; Kumar M; Sreenivasamurthy SK; Marimuthu A; Sathe GJ; Chavan S; Datta KK; Subbannayya Y; Sahu A; Yelamanchi SD; Jayaram S; Rajagopalan P; Sharma J; Murthy KR; Syed N; Goel R; Khan AA; Ahmad S; Dey G; Mudgal K; Chatterjee A; Huang TC; Zhong J; Wu X; Shaw PG; Freed D; Zahari MS; Mukherjee KK; Shankar S; Mahadevan A; Lam H; Mitchell CJ; Shankar SK; Satishchandra P; Schroeder JT; Sirdeshmukh R; Maitra A; Leach SD; Drake CG; Halushka MK; Prasad TSK; Hruban RH; Kerr CL; Bader GD; Iacobuzio-Donahue CA; Gowda H; Pandey A Nature 2014[May]; 509 (7502): 575-81 PMID24870542show ga The availability of human genome sequence has transformed biomedical research over the past decade. However, an equivalent map for the human proteome with direct measurements of proteins and peptides does not exist yet. Here, we present a draft map of the human proteome using high resolution Fourier transform mass spectrometry. In-depth proteomic profiling of 30 histologically normal human samples including 17 adult tissues, 7 fetal tissues and 6 purified primary hematopoietic cells resulted in identification of proteins encoded by 17,294 genes accounting for ~84% of the total annotated protein-coding genes in humans. A unique and comprehensive strategy for proteogenomic analysis enabled us to discover a number of novel protein-coding regions, which includes translated pseudogenes, non-coding RNAs and upstream ORFs. This large human proteome catalog (available as an interactive web-based resource at http://www.humanproteomemap.org) will complement available human genome and transcriptome data to accelerate biomedical research in health and disease. äA draft map of the human proteome (epmc).pdf DeepDyve Pubget Overpricing