TY - JOUR
T1 - Mass-spectrometry-based draft of the human proteome
AU - Wilhelm, Mathias
AU - Schlegl, Judith
AU - Hahne, Hannes
AU - Gholami, Amin Moghaddas
AU - Lieberenz, Marcus
AU - Savitski, Mikhail M.
AU - Ziegler, Emanuel
AU - Butzmann, Lars
AU - Gessulat, Siegfried
AU - Marx, Harald
AU - Mathieson, Toby
AU - Lemeer, Simone
AU - Schnatbaum, Karsten
AU - Reimer, Ulf
AU - Wenschuh, Holger
AU - Mollenhauer, Martin
AU - Slotta-Huspenina, Julia
AU - Boese, Joos Hendrik
AU - Bantscheff, Marcus
AU - Gerstmair, Anja
AU - Faerber, Franz
AU - Kuster, Bernhard
PY - 2014
Y1 - 2014
N2 - Proteomes are characterized by large protein-abundance differences, cell-type- and time-dependent expression patterns and post-translational modifications, all of which carry biological information that is not accessible by genomics or transcriptomics. Here we present a mass-spectrometry-based draft of the human proteome and a public, high-performance, in-memory database for real-time analysis of terabytes of big data, called ProteomicsDB. The information assembled from human tissues, cell lines and body fluids enabled estimation of the size of the protein-coding genome, and identified organ-specific proteins and a large number of translated lincRNAs (long intergenic non-coding RNAs). Analysis of messenger RNA and protein-expression profiles of human tissues revealed conserved control of protein abundance, and integration of drug-sensitivity data enabled the identification of proteins predicting resistance or sensitivity. The proteome profiles also hold considerable promise for analysing the composition and stoichiometry of protein complexes. ProteomicsDB thus enables navigation of proteomes, provides biological insight and fosters the development of proteomic technology.
AB - Proteomes are characterized by large protein-abundance differences, cell-type- and time-dependent expression patterns and post-translational modifications, all of which carry biological information that is not accessible by genomics or transcriptomics. Here we present a mass-spectrometry-based draft of the human proteome and a public, high-performance, in-memory database for real-time analysis of terabytes of big data, called ProteomicsDB. The information assembled from human tissues, cell lines and body fluids enabled estimation of the size of the protein-coding genome, and identified organ-specific proteins and a large number of translated lincRNAs (long intergenic non-coding RNAs). Analysis of messenger RNA and protein-expression profiles of human tissues revealed conserved control of protein abundance, and integration of drug-sensitivity data enabled the identification of proteins predicting resistance or sensitivity. The proteome profiles also hold considerable promise for analysing the composition and stoichiometry of protein complexes. ProteomicsDB thus enables navigation of proteomes, provides biological insight and fosters the development of proteomic technology.
UR - http://www.scopus.com/inward/record.url?scp=84901611036&partnerID=8YFLogxK
U2 - 10.1038/nature13319
DO - 10.1038/nature13319
M3 - Article
C2 - 24870543
AN - SCOPUS:84901611036
SN - 0028-0836
VL - 509
SP - 582
EP - 587
JO - Nature
JF - Nature
IS - 7502
ER -