title: A "proteomic ruler" for protein copy number and concentration estimation without spike-in standards.
abstract: Absolute protein quantification using mass spectrometry (MS)-based proteomics delivers protein concentrations or copy numbers per cell. Existing methodologies typically require a combination of isotope-labeled spike-in references, cell counting, and protein concentration measurements. Here we present a novel method that delivers similar quantitative results directly from deep eukaryotic proteome datasets without any additional experimental steps. We show that the MS signal of histones can be used as a "proteomic ruler" because it is proportional to the amount of DNA in the sample, which in turn depends on the number of cells. As a result, our proteomic ruler approach adds an absolute scale to the MS readout and allows estimation of the copy numbers of individual proteins per cell. We compare our protein quantifications with values derived via the use of stable isotope labeling by amino acids in cell culture and protein epitope signature tags in a method that combines spike-in protein fragment standards with precise isotope label quantification. The proteomic ruler approach yields quantitative readouts that are in remarkably good agreement with results from the precision method. We attribute this surprising result to the fact that the proteomic ruler approach omits error-prone steps such as cell counting or protein concentration measurements. The proteomic ruler approach is readily applicable to any deep eukaryotic proteome dataset-even in retrospective analysis-and we demonstrate its usefulness with a series of mouse organ proteomes.
authors.affiliation: From the ‡Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Am Klopferspitz 18, 82152 Martinsried, Germany jwisniew@biochem.mpg.de mmann@biochem.mpg.de.
authors.forename: Jacek R
authors.initials: JR
authors.lastname: Wiśniewski
authors.affiliation: From the ‡Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Am Klopferspitz 18, 82152 Martinsried, Germany.
authors.forename: Marco Y
authors.initials: MY
authors.lastname: Hein
authors.affiliation: From the ‡Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Am Klopferspitz 18, 82152 Martinsried, Germany.
authors.forename: Jürgen
authors.initials: J
authors.lastname: Cox
authors.affiliation: From the ‡Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Am Klopferspitz 18, 82152 Martinsried, Germany jwisniew@biochem.mpg.de mmann@biochem.mpg.de.
authors.forename: Matthias
authors.initials: M
authors.lastname: Mann
mesh_terms: D000596:Amino Acids / Q000737:chemistry / Q000378:metabolism; D000818:Animals; D002452:Cell Count; D045744:Cell Line, Tumor; D004247:DNA / Q000737:chemistry*; D015870:Gene Expression; D006657:Histones / Q000032:analysis* / Q000235:genetics / Q000378:metabolism; D006801:Humans; D007553:Isotope Labeling; D051379:Mice; D020543:Proteome / Q000032:analysis* / Q000235:genetics / Q000378:metabolism; D012015:Reference Standards
chemical_list: D000596:Amino Acids; D006657:Histones; D020543:Proteome; D004247:DNA