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10.1038/nature13302 http://scihub22266oqcxt.onion/10.1038/nature13302 C4403737!4403737 !24870542     free     free     free Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\24870542 .jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       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 haematopoietic cells, resulted in identification of proteins encoded by 17,294 genes accounting for approximately 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 open reading frames. This large human proteome catalogue (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 LD ; 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 TS ; Hruban RH ; Kerr CL ; Bader GD ; Iacobuzio-Donahue CA ; Gowda H ; Pandey A Nature 2014[May]; 509 (7502 ): 575-81 PMID24870542 show 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 haematopoietic cells, resulted in identification of proteins encoded by 17,294 genes accounting for approximately 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 open reading frames. This large human proteome catalogue (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. |*Proteomics [MESH] |Adult [MESH] |Cells, Cultured [MESH] |Databases, Protein [MESH] |Fetus/metabolism [MESH] |Fourier Analysis [MESH] |Gene Expression Profiling [MESH] |Genome, Human/genetics [MESH] |Hematopoietic Stem Cells/cytology/metabolism [MESH] |Humans [MESH] |Internet [MESH] |Mass Spectrometry [MESH] |Molecular Sequence Annotation [MESH] |Open Reading Frames/genetics [MESH] |Organ Specificity [MESH] |Protein Biosynthesis [MESH] |Protein Isoforms/analysis/genetics/metabolism [MESH] |Protein Sorting Signals [MESH] |Protein Transport [MESH] |Proteome/analysis/chemistry/genetics/*metabolism [MESH] |Pseudogenes/genetics [MESH] |RNA, Untranslated/genetics [MESH] |Reproducibility of Results [MESH]A draft map of the human proteome (epmc).pdf DeepDyve Pubget Overpricing