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A common problem encountered when performing large-scale MS proteome analysis is the loss of information due to the high percentage of unassigned spectra. To determine the causes behind this loss we have analyzed the proteome of one of the smallest living bacteria that can be grown axenically, Mycoplasma pneumoniae (729 ORFs). The proteome of M. pneumoniae cells, grown in defined media, was analyzed by MS. An initial search with both Mascot and a species-specific NCBInr database with common contaminants (NCBImpn), resulted in around 79% of the acquired spectra not having an assignment. The percentage of non-assigned spectra was reduced to 27% after re-analysis of the data with the PEAKS software, thereby increasing the proteome coverage of M. pneumoniae from the initial 60% to over 76%. Nonetheless, 33 413 spectra with assigned amino acid sequences could not be mapped to any NCBInr database protein sequence. Approximately, 1% of these unassigned peptides corresponded to PTMs and 4% to M. pneumoniae protein variants (deamidation and translation inaccuracies). The most abundant peptide sequence variants (Phe-Tyr and Ala-Ser) could be explained by alterations in the editing capacity of the corresponding tRNA synthases. About another 1% of the peptides not associated to any protein had repetitions of the same aromatic/hydrophobic amino acid at the N-terminus, or had Arg/Lys at the C-terminus. Thus, in a model system, we have maximized the number of assigned spectra to 73% (51 453 out of the 70 040 initial acquired spectra). ; This work was sup-ported by the European Research Council (ERC), the Fundación Marcelino Botín, the Spanish Ministerio de Economía y Com-petitividad BIO2007-61762 and the ISCIII (PI10/01702). TheCRG/UPF Proteomics Unit is part of the "Plataforma de Re-cursos Biomoleculares y Bioinform´aticos (ProteoRed)" supportedby grant PT13/0001 of Instituto de Salud Carlos III (ISCIII).We acknowledge the support of the Spanish Ministry of Economyand Competitiveness, 'Centro de Excelencia Severo Ochoa 2013–2017', SEV-2012-0208. This project has received funding fromthe European Union's Horizon 2020 research and innovationprogram under grant agreement No 634942

Cell-specific regulation of protein levels and activity is essential for the distribution of functions among multiple cell types in animals. The finding that many genes involved in these regulatory processes have a premetazoan origin raises the intriguing possibility that the mechanisms required for spatially regulated cell differentiation evolved prior to the appearance of animals. Here, we use high-throughput proteomics in Capsaspora owczarzaki, a close unicellular relative of animals, to characterize the dynamic proteome and phosphoproteome profiles of three temporally distinct cell types in this premetazoan species. We show that life-cycle transitions are linked to extensive proteome and phosphoproteome remodeling and that they affect key genes involved in animal multicellularity, such as transcription factors and tyrosine kinases. The observation of shared features between Capsaspora and metazoans indicates that elaborate and conserved phosphosignaling and proteome regulation supported temporal cell-type differentiation in the unicellular ancestor of animals. ; The CRG/UPF Proteomics Unit is part of the "Plataforma de Recursos Biomoleculares y Bioinformáticos (ProteoRed)" supported by grant PT13/0001 of Instituto de Salud Carlos III (ISCIII). A.S.-P. is supported by an EMBO Long-Term Fellowship (ALTF 841-2014). T.G. group research is funded in part by a grant from the Spanish Ministry of Economy and Competitiveness (BIO2012-37161), a grant from the Qatar National Research Fund (NPRP 5-298-3-086), a grant from the European Union FP7 FP7-PEOPLE-2013-ITN-606786, and a grant from the European Research Council under the European Union's Seventh Framework Program (FP/2007-2013)/ERC (grant agreement no. ERC-2012-StG-310325). I.R.-T. group research is supported by an Institució Catalana de Recerca i Estudis Avançats contract, a European Research Council Consolidator Grant (ERC-2012-Co-616960), and a grant (BFU-2011-23434) from Ministerio de Economía y Competitividad (MINECO). I.R.-T. also acknowledges financial support from Secretaria d'Universitats i Recerca del Departament d'Economia i Coneixement de la Generalitat de Catalunya (Project 2014 SGR 619 and Project 2014 SGR 678)