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Extensive mass spectrometry-based analysis of the fission yeast proteome: the Schizosaccharomyces pombe PeptideAtlas

Gunaratne, J; Schmidt, A; Quandt, A; Neo, SP; Saraç, OS; Gracia, T; Loguercio, S; ... Aebersold, R; + view all (2013) Extensive mass spectrometry-based analysis of the fission yeast proteome: the Schizosaccharomyces pombe PeptideAtlas. Molecular & Cellular Proteomics , 12 (6) 1741 -1751. 10.1074/mcp.M112.023754. Green open access

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[thumbnail of  Table S11. GO molecular function enrichments (p-value < 0.1) for undetected proteins in S. pombe with high (Top 25% quantile), medium (middle 50% quantile) and low (bottom 25% quantile) mRNA concentration. ]
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Text ( Table S11. GO molecular function enrichments (p-value < 0.1) for undetected proteins in S. pombe with high (Top 25% quantile), medium (middle 50% quantile) and low (bottom 25% quantile) mRNA concentration. )
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[thumbnail of Table S1. All identified proteins and peptides including human orthologs ] Text (Table S1. All identified proteins and peptides including human orthologs )
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[thumbnail of  Table S2: List of all identified peptide per protein ranked by the number of PSM ] Text ( Table S2: List of all identified peptide per protein ranked by the number of PSM )
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[thumbnail of  Table S3. List of all peptide spectrum matches ] Text ( Table S3. List of all peptide spectrum matches )
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[thumbnail of Table S4. Transitions of peptides overlappping with the S. Pombe PeptideAtlas downloaded for different MS-platforms from www.srmatlas.org ] Text (Table S4. Transitions of peptides overlappping with the S. Pombe PeptideAtlas downloaded for different MS-platforms from www.srmatlas.org )
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[thumbnail of Table S5. GO-term bias analysis of identified proteins ] Text (Table S5. GO-term bias analysis of identified proteins )
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[thumbnail of Table S6. Determined emPAI values for proliferating cells from experiment 2 (Figure 1A) and comparison to the recently published dataset by Marguert et al. 2012 (Cell) ] Text (Table S6. Determined emPAI values for proliferating cells from experiment 2 (Figure 1A) and comparison to the recently published dataset by Marguert et al. 2012 (Cell) )
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[thumbnail of Table S7. Correlation of determined emPAI and recently published copies per cell levels for 20 proteins ] Text (Table S7. Correlation of determined emPAI and recently published copies per cell levels for 20 proteins )
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[thumbnail of Table S8. Functional protein annotation for protein clusters of different abundance ] Text (Table S8. Functional protein annotation for protein clusters of different abundance )
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[thumbnail of Table S9: KEGG Pathway entry (Cell Cycle) (PATHWAY: spo04111) ] Text (Table S9: KEGG Pathway entry (Cell Cycle) (PATHWAY: spo04111) )
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[thumbnail of  Table S10. Determined emPAI values and mRNA expression for proliferating cells (Figure 4) ] Text ( Table S10. Determined emPAI values and mRNA expression for proliferating cells (Figure 4) )
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[thumbnail of Table S12. List of S. cerevisiae and human orthologs inlcuding protein abundance levels] Text (Table S12. List of S. cerevisiae and human orthologs inlcuding protein abundance levels)
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Abstract

We report a high quality and system-wide proteome catalogue covering 71% (3,542 proteins) of the predicted genes of fission yeast, Schizosaccharomyces pombe, presenting the largest protein dataset to date for this important model organism. We obtained this high proteome and peptide (11.4 peptides/protein) coverage by a combination of extensive sample fractionation, high resolution Orbitrap mass spectrometry, and combined database searching using the iProphet software as part of the Trans-Proteomics Pipeline. All raw and processed data are made accessible in the S. pombe PeptideAtlas. The identified proteins showed no biases in functional properties and allowed global estimation of protein abundances. The high coverage of the PeptideAtlas allowed correlation with transcriptomic data in a system-wide manner indicating that post-transcriptional processes control the levels of at least half of all identified proteins. Interestingly, the correlation was not equally tight for all functional categories ranging from r(s) >0.80 for proteins involved in translation to r(s) <0.45 for signal transduction proteins. Moreover, many proteins involved in DNA damage repair could not be detected in the PeptideAtlas despite their high mRNA levels, strengthening the translation-on-demand hypothesis for members of this protein class. In summary, the extensive and publicly available S. pombe PeptideAtlas together with the generated proteotypic peptide spectral library will be a useful resource for future targeted, in-depth, and quantitative proteomic studies on this microorganism.

Type: Article
Title: Extensive mass spectrometry-based analysis of the fission yeast proteome: the Schizosaccharomyces pombe PeptideAtlas
Location: United States
Open access status: An open access version is available from UCL Discovery
DOI: 10.1074/mcp.M112.023754
Publisher version: http://dx.doi.org/10.1074/mcp.M112.023754
Language: English
Additional information: This research was originally published in Molecular & Cellular Proteomics.Jayantha Gunaratne, Alexander Schmidt‖, Andreas Quandt, Suat Peng Neo, Ömer Sinan Saraç, Tannia Gracia, Salvatore Loguercio, Erik Ahrné, Rachel Li Hai Xia, Keng Hwa Tan, Christopher Lössner, Jürg Bähler, Andreas Beyer, Walter Blackstock and Ruedi Aebersold. Extensive Mass Spectrometry-based Analysis of the Fission Yeast Proteome THE SCHIZOSACCHAROMYCES POMBE PeptideAtlas. Molecular & Cellular Proteomics . 2013; 12: 1741-1751. © the American Society for Biochemistry and Molecular Biology PMCID: PMC3675828
Keywords: Databases, Protein, Gene Expression Regulation, Fungal, Mass Spectrometry, Multigene Family, Peptide Mapping, Peptides, Protein Processing, Post-Translational, Proteome, RNA, Messenger, Schizosaccharomyces, Schizosaccharomyces pombe Proteins, Signal Transduction
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences > Genetics, Evolution and Environment
URI: https://discovery.ucl.ac.uk/id/eprint/1388514
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