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St-Germain JR, Astori A, Raught B. A SARS-CoV-2 Peptide Spectral Library Enables Rapid, Sensitive Identification of Virus Peptides in Complex Biological Samples. J Proteome Res 2021; 20:2187-2194. [PMID: 33683136 DOI: 10.1021/acs.jproteome.1c00048] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
On the basis of an analysis of (i) SARS-CoV-2 virions, (ii) SARS-CoV-2-infected VeroE6 cell lysates, and (iii) recombinant SARS-CoV-2 proteins expressed in HEK 293 cells, here we present a comprehensive SARS-CoV-2 peptide spectrum compendium, comprising 1682 high confidence peptide consensus spectra derived from 1170 peptides (of various charge states) spanning 23 virus proteins. This high quality reference set can be used, e.g., for the selection of commonly observed virus peptides for use in targeted proteomics or data-independent acquisition (DIA) approaches. Using this rich resource, we also demonstrate that a spectral matching search approach yields improved performance over the use of standard database search engines alone for the identification of virus peptides in complex biological samples.
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Affiliation(s)
- Jonathan R St-Germain
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario M5G 2C4, Canada
| | - Audrey Astori
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario M5G 2C4, Canada
| | - Brian Raught
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario M5G 2C4, Canada.,Department of Medical Biophysics, University of Toronto, Toronto, Ontario M5G 1L7, Canada
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2
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Shao W, Lam H. Tandem mass spectral libraries of peptides and their roles in proteomics research. MASS SPECTROMETRY REVIEWS 2017; 36:634-648. [PMID: 27403644 DOI: 10.1002/mas.21512] [Citation(s) in RCA: 38] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/30/2015] [Accepted: 05/21/2016] [Indexed: 05/15/2023]
Abstract
Proteomics is a rapidly maturing field aimed at the high-throughput identification and quantification of all proteins in a biological system. The cornerstone of proteomic technology is tandem mass spectrometry of peptides resulting from the digestion of protein mixtures. The fragmentation pattern of each peptide ion is captured in its tandem mass spectrum, which enables its identification and acts as a fingerprint for the peptide. Spectral libraries are simply searchable collections of these fingerprints, which have taken on an increasingly prominent role in proteomic data analysis. This review describes the historical development of spectral libraries in proteomics, details the computational procedures behind library building and searching, surveys the current applications of spectral libraries, and discusses the outstanding challenges. © 2016 Wiley Periodicals, Inc. Mass Spec Rev 36:634-648, 2017.
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Affiliation(s)
- Wenguang Shao
- Department of Biology, Institute of Molecular Systems Biology, Eidgenössische Technische Hochschule (ETH) Zurich, Zurich, Switzerland
- Division of Biomedical Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong
| | - Henry Lam
- Division of Biomedical Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong
- Department of Chemical and Biomolecular Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong
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3
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Griss J. Spectral library searching in proteomics. Proteomics 2016; 16:729-40. [PMID: 26616598 DOI: 10.1002/pmic.201500296] [Citation(s) in RCA: 51] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2015] [Revised: 10/15/2015] [Accepted: 10/29/2015] [Indexed: 12/12/2022]
Abstract
Spectral library searching has become a mature method to identify tandem mass spectra in proteomics data analysis. This review provides a comprehensive overview of available spectral library search engines and highlights their distinct features. Additionally, resources providing spectral libraries are summarized and tools presented that extend experimental spectral libraries by simulating spectra. Finally, spectrum clustering algorithms are discussed that utilize the same spectrum-to-spectrum matching algorithms as spectral library search engines and allow novel methods to analyse proteomics data.
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Affiliation(s)
- Johannes Griss
- Division of Immunology, Allergy and Infectious Diseases, Department of Dermatology, Medical University of Vienna, Austria.,European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridge, UK
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4
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Hong JH, Ng D, Srikumar T, Raught B. The use of ubiquitin lysine mutants to characterize E2-E3 linkage specificity: Mass spectrometry offers a cautionary “tail”. Proteomics 2015; 15:2910-5. [DOI: 10.1002/pmic.201500058] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2015] [Revised: 04/20/2015] [Accepted: 05/30/2015] [Indexed: 11/11/2022]
Affiliation(s)
- Jenny H. Hong
- Princess Margaret Cancer Centre; University Health Network, and Department of Medical Biophysics; University of Toronto; Toronto ON CANADA
| | - Deborah Ng
- Princess Margaret Cancer Centre; University Health Network, and Department of Medical Biophysics; University of Toronto; Toronto ON CANADA
| | - Tharan Srikumar
- Princess Margaret Cancer Centre; University Health Network, and Department of Medical Biophysics; University of Toronto; Toronto ON CANADA
| | - Brian Raught
- Princess Margaret Cancer Centre; University Health Network, and Department of Medical Biophysics; University of Toronto; Toronto ON CANADA
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5
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Yu K, Phu L, Varfolomeev E, Bustos D, Vucic D, Kirkpatrick DS. Immunoaffinity enrichment coupled to quantitative mass spectrometry reveals ubiquitin-mediated signaling events. J Mol Biol 2015; 427:2121-34. [PMID: 25861760 DOI: 10.1016/j.jmb.2015.03.018] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2015] [Revised: 03/25/2015] [Accepted: 03/30/2015] [Indexed: 12/30/2022]
Abstract
Ubiquitination is one of the most prevalent posttranslational modifications in eukaryotic cells, with functional importance in protein degradation, subcellular localization and signal transduction pathways. Immunoaffinity enrichment coupled with quantitative mass spectrometry enables the in-depth characterization of protein ubiquitination events at the site-specific level. We have applied this strategy to investigate cellular response triggered by two distinct type agents: small molecule inhibitors of the tumor-associated kinases MEK and PI3K or the pro-inflammatory cytokine IL-17. Temporal profiling of protein ubiquitination events across a series of time points covering the biological response permits interrogation of signaling through thousands of quantified proteins, of which only a subset display significant and physiologically meaningful regulation. Distinctive clusters of residues within proteins can display distinct temporal patterns attributable to diverse molecular functions, although the majority of differential ubiquitination appears as a coordinated response across the modifiable residues present within an individual substrate. In cells treated with a combination of MEK and PI3K inhibitors, we found differential ubiquitination of MEK within the first hour after treatment and a series of mitochondria proteins at later time points. In the IL-17 signaling pathway, ubiquitination events on several signaling proteins including HOIL-1 and Tollip were observed. The functional relevance of these putative IL-17 mediators was subsequently validated by knockdown of HOIL-1, HOIP and TOLIP, each of which decreased IL-17-stimulated cytokine production. Together, these data validate proteomic profiling of protein ubiquitination as a viable approach for identifying dynamic signaling components in response to intracellular and extracellular perturbations.
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Affiliation(s)
- Kebing Yu
- Department of Protein Chemistry, Genentech, Inc., 1 DNA Way, South San Francisco, CA 94080, USA
| | - Lilian Phu
- Department of Protein Chemistry, Genentech, Inc., 1 DNA Way, South San Francisco, CA 94080, USA
| | - Eugene Varfolomeev
- Department of Early Discovery Biochemistry, Genentech, Inc., 1 DNA Way, South San Francisco, CA 94080, USA
| | - Daisy Bustos
- Department of Protein Chemistry, Genentech, Inc., 1 DNA Way, South San Francisco, CA 94080, USA
| | - Domagoj Vucic
- Department of Early Discovery Biochemistry, Genentech, Inc., 1 DNA Way, South San Francisco, CA 94080, USA.
| | - Donald S Kirkpatrick
- Department of Protein Chemistry, Genentech, Inc., 1 DNA Way, South San Francisco, CA 94080, USA.
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6
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Xu G, Deglincerti A, Paige JS, Jaffrey SR. Profiling lysine ubiquitination by selective enrichment of ubiquitin remnant-containing peptides. Methods Mol Biol 2014; 1174:57-71. [PMID: 24947374 DOI: 10.1007/978-1-4939-0944-5_4] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Protein ubiquitination plays critical roles in many biological processes. However, functional studies of protein ubiquitination in eukaryotic cells are limited by the ability to identify protein ubiquitination sites. Unbiased high-throughput screening methods are necessary to discover novel ubiquitination sites that play important roles in cellular regulation. Here, we describe an immunopurification approach that enriches ubiquitin remnant-containing peptides to facilitate downstream mass spectrometry (MS) identification of lysine ubiquitination sites. This approach can be utilized to identify ubiquitination sites from proteins in a complex mixture.
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Affiliation(s)
- Guoqiang Xu
- Jiangsu Key Laboratory of Translational Research and Therapy for Neuro-Psycho-Diseases and College of Pharmaceutical Sciences, Soochow University, Suzhou, Jiangsu, China
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7
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Xu C, Zhang J, Zhang W, Liu H, Fang J, Xie H. An improved workflow for identifying ubiquitin/ubiquitin-like protein conjugation sites from tandem mass spectra. Proteomics 2013; 13:2579-84. [PMID: 23828837 DOI: 10.1002/pmic.201300151] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2013] [Revised: 06/17/2013] [Accepted: 06/19/2013] [Indexed: 11/12/2022]
Abstract
The identification of ubiquitin (Ub) and Ub-like protein (Ubl) conjugation sites is important in understanding their roles in biological pathway regulations. However, unambiguously and sensitively identifying Ub/Ubl conjugation sites through high-throughput MS remains challenging. We introduce an improved workflow for identifying Ub/Ubl conjugation sites based on the ChopNSpice and X!Tandem software. ChopNSpice is modified to generate Ub/Ubl conjugation peptides in the form of a cross-link. A combinatorial FASTA database can be acquired using the modified ChopNSpice (MchopNSpice). The modified X!Tandem (UblSearch) introduces a new fragmentation model for the Ub/Ubl conjugation peptides to match unambiguously the MS/MS spectra with linear peptides or Ub/Ubl conjugation peptides using the combinatorial FASTA database. The novel workflow exhibited better performance in analyzing an Ub and Ubl spectral library and a large-scale Trypanosoma cruzi small Ub-related modifier dataset compared with the original ChopNSpice method. The proposed workflow is more suitable for processing large-scale MS datasets of Ub/Ubl modification. MchopNSpice and UblSearch are freely available under the GNU General Public License v3.0 at http://sourceforge.net/projects/maublsearch.
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Affiliation(s)
- Changming Xu
- College of Mechatronic Engineering and Automation, National University of Defense Technology, Changsha, P. R. China
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Van Riper SK, de Jong EP, Carlis JV, Griffin TJ. Mass Spectrometry-Based Proteomics: Basic Principles and Emerging Technologies and Directions. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2013; 990:1-35. [DOI: 10.1007/978-94-007-5896-4_1] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
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9
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Sheng Y, Hong JH, Doherty R, Srikumar T, Shloush J, Avvakumov GV, Walker JR, Xue S, Neculai D, Wan JW, Kim SK, Arrowsmith CH, Raught B, Dhe-Paganon S. A human ubiquitin conjugating enzyme (E2)-HECT E3 ligase structure-function screen. Mol Cell Proteomics 2012; 11:329-41. [PMID: 22496338 DOI: 10.1074/mcp.o111.013706] [Citation(s) in RCA: 91] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
Here we describe a systematic structure-function analysis of the human ubiquitin (Ub) E2 conjugating proteins, consisting of the determination of 15 new high-resolution three-dimensional structures of E2 catalytic domains, and autoubiquitylation assays for 26 Ub-loading E2s screened against a panel of nine different HECT (homologous to E6-AP carboxyl terminus) E3 ligase domains. Integration of our structural and biochemical data revealed several E2 surface properties associated with Ub chain building activity; (1) net positive or neutral E2 charge, (2) an "acidic trough" located near the catalytic Cys, surrounded by an extensive basic region, and (3) similarity to the previously described HECT binding signature in UBE2L3 (UbcH7). Mass spectrometry was used to characterize the autoubiquitylation products of a number of functional E2-HECT pairs, and demonstrated that HECT domains from different subfamilies catalyze the formation of very different types of Ub chains, largely independent of the E2 in the reaction. Our data set represents the first comprehensive analysis of E2-HECT E3 interactions, and thus provides a framework for better understanding the molecular mechanisms of ubiquitylation.
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Affiliation(s)
- Yi Sheng
- Department of Biology, York University, 4700 Keele Street, Toronto, ON M3J 1P3, Canada
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10
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Kang C, Yi GS. Identification of ubiquitin/ubiquitin-like protein modification from tandem mass spectra with various PTMs. BMC Bioinformatics 2011; 12 Suppl 14:S8. [PMID: 22373085 PMCID: PMC3287473 DOI: 10.1186/1471-2105-12-s14-s8] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
Background Various solutions have been introduced for the identification of post-translational modification (PTM) from tandem mass spectrometry (MS/MS) in proteomics field but the identification of peptide modifiers, such as Ubiquitin (Ub) and ubiquitin-like proteins (Ubls), is still a challenge. The fragmentation of peptide modifier produce complex shifted ion mass patterns in combination with other PTMs, which makes it difficult to identify and locate the PTMs on a protein sequence. Currently, most PTM identification methods do not consider the complex fragmentation of peptide modifier or deals it separately from the other PTMs. Results We developed an advanced PTM identification method that inspects possible ion patterns of the most known peptide modifiers as well as other known biological and chemical PTMs to make more comprehensive and accurate conclusion. The proposed method searches all detectable mass differences of measured peaks from their theoretical values and the mass differences within mass tolerance range are grouped as mass shift classes. The most possible locations of multiple PTMs including peptide modifiers can be determined by evaluating all possible scenarios generated by the combination of the qualified mass shift classes.The proposed method showed excellent performance in the test with simulated spectra having various PTMs including peptide modifiers and in the comparison with recently developed methods such as QuickMod and SUMmOn. In the analysis of HUPO Brain Proteome Project (BPP) datasets, the proposed method could find the ubiquitin modification sites that were not identified by other conventional methods. Conclusions This work presents a novel method for identifying bothpeptide modifiers that generate complex fragmentation patternsand PTMs that are not fragmented during fragmentation processfrom tandem mass spectra.
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Affiliation(s)
- Chiyong Kang
- Department of Bio and Brain Engineering, KAIST, Daejeon 305-701, South Korea
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11
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Békés M, Prudden J, Srikumar T, Raught B, Boddy MN, Salvesen GS. The dynamics and mechanism of SUMO chain deconjugation by SUMO-specific proteases. J Biol Chem 2011; 286:10238-47. [PMID: 21247896 PMCID: PMC3060478 DOI: 10.1074/jbc.m110.205153] [Citation(s) in RCA: 64] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2010] [Revised: 01/04/2011] [Indexed: 11/06/2022] Open
Abstract
SUMOylation of proteins is a cyclic process that requires both conjugation and deconjugation of SUMO moieties. Besides modification by a single SUMO, SUMO chains have also been observed, yet the dynamics of SUMO conjugation/deconjugation remain poorly understood. Using a non-deconjugatable form of SUMO we demonstrate the underappreciated existence of SUMO chains in vivo, we highlight the importance of SUMO deconjugation, and we demonstrate the highly dynamic nature of the SUMO system. We show that SUMO-specific proteases (SENPs) play a crucial role in the dynamics of SUMO chains in vivo by constant deconjugation. Preventing deSUMOylation in Schizosaccharomyces pombe results in slow growth and a sensitivity to replication stress, highlighting the biological requirement for deSUMOylation dynamics. Furthermore, we present the mechanism of SUMO chain deconjugation by SENPs, which occurs via a stochastic mechanism, resulting in cleavage anywhere within a chain. Our results offer mechanistic insights into the workings of deSUMOylating proteases and highlight their importance in the homeostasis of (poly)SUMO-modified substrates.
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Affiliation(s)
- Miklós Békés
- From the Sanford-Burnham Medical Research Institute, La Jolla, California 92037
- the Molecular Pathology Graduate Program, University of California, San Diego, La Jolla, California 92037
| | - John Prudden
- the Department of Molecular Biology, The Scripps Research Institute, La Jolla, California 92037, and
| | - Tharan Srikumar
- the Ontario Cancer Institute and McLaughlin Centre for Molecular Medicine, MaRS Centre, Toronto M5G 1L7, Canada
| | - Brian Raught
- the Ontario Cancer Institute and McLaughlin Centre for Molecular Medicine, MaRS Centre, Toronto M5G 1L7, Canada
| | - Michael N. Boddy
- the Department of Molecular Biology, The Scripps Research Institute, La Jolla, California 92037, and
| | - Guy S. Salvesen
- From the Sanford-Burnham Medical Research Institute, La Jolla, California 92037
- the Molecular Pathology Graduate Program, University of California, San Diego, La Jolla, California 92037
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12
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Building and searching tandem mass (MS/MS) spectral libraries for peptide identification in proteomics. Methods 2011; 54:424-31. [PMID: 21277371 DOI: 10.1016/j.ymeth.2011.01.007] [Citation(s) in RCA: 43] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2010] [Revised: 01/19/2011] [Accepted: 01/20/2011] [Indexed: 01/03/2023] Open
Abstract
Spectral library searching is an emerging approach in peptide identifications from tandem mass spectra, a critical step in proteomic data analysis. In spectral library searching, a spectral library is first meticulously compiled from a large collection of previously observed peptide MS/MS spectra that are conclusively assigned to their corresponding amino acid sequence. An unknown spectrum is then identified by comparing it to all the candidates in the spectral library for the most similar match. This review discusses the basic principles of spectral library building and searching, describes its advantages and limitations, and provides a primer for researchers interested in adopting this new approach in their data analysis. It will also discuss the future outlook on the evolution and utility of spectral libraries in the field of proteomics.
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13
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Nesvizhskii AI. A survey of computational methods and error rate estimation procedures for peptide and protein identification in shotgun proteomics. J Proteomics 2010; 73:2092-123. [PMID: 20816881 DOI: 10.1016/j.jprot.2010.08.009] [Citation(s) in RCA: 370] [Impact Index Per Article: 26.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2010] [Revised: 08/25/2010] [Accepted: 08/25/2010] [Indexed: 12/18/2022]
Abstract
This manuscript provides a comprehensive review of the peptide and protein identification process using tandem mass spectrometry (MS/MS) data generated in shotgun proteomic experiments. The commonly used methods for assigning peptide sequences to MS/MS spectra are critically discussed and compared, from basic strategies to advanced multi-stage approaches. A particular attention is paid to the problem of false-positive identifications. Existing statistical approaches for assessing the significance of peptide to spectrum matches are surveyed, ranging from single-spectrum approaches such as expectation values to global error rate estimation procedures such as false discovery rates and posterior probabilities. The importance of using auxiliary discriminant information (mass accuracy, peptide separation coordinates, digestion properties, and etc.) is discussed, and advanced computational approaches for joint modeling of multiple sources of information are presented. This review also includes a detailed analysis of the issues affecting the interpretation of data at the protein level, including the amplification of error rates when going from peptide to protein level, and the ambiguities in inferring the identifies of sample proteins in the presence of shared peptides. Commonly used methods for computing protein-level confidence scores are discussed in detail. The review concludes with a discussion of several outstanding computational issues.
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14
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Xu G, Paige JS, Jaffrey SR. Global analysis of lysine ubiquitination by ubiquitin remnant immunoaffinity profiling. Nat Biotechnol 2010; 28:868-73. [PMID: 20639865 PMCID: PMC2946519 DOI: 10.1038/nbt.1654] [Citation(s) in RCA: 418] [Impact Index Per Article: 29.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2010] [Accepted: 06/11/2010] [Indexed: 11/09/2022]
Abstract
Protein ubiquitination is a post-translational modification (PTM) that regulates various aspects of protein function by different mechanisms. Characterization of ubiquitination has lagged behind that of smaller PTMs, such as phosphorylation, largely because of the difficulty of isolating and identifying peptides derived from the ubiquitinated portion of proteins. To address this issue, we generated a monoclonal antibody that enriches for peptides containing lysine residues modified by diglycine, an adduct left at sites of ubiquitination after trypsin digestion. We use mass spectrometry to identify 374 diglycine-modified lysines on 236 ubiquitinated proteins from HEK293 cells, including 80 proteins containing multiple sites of ubiquitination. Seventy-two percent of these proteins and 92% of the ubiquitination sites do not appear to have been reported previously. Ubiquitin remnant profiling of the multi-ubiquitinated proteins proliferating cell nuclear antigen (PCNA) and tubulin alpha-1A reveals differential regulation of ubiquitination at specific sites by microtubule inhibitors, demonstrating the effectiveness of our method to characterize the dynamics of lysine ubiquitination.
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Affiliation(s)
- Guoqiang Xu
- Department of Pharmacology, Weill Medical College, Cornell University, New York, New York, USA
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15
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Jeram SM, Srikumar T, Zhang XD, Anne Eisenhauer H, Rogers R, Pedrioli PGA, Matunis M, Raught B. An improved SUMmOn-based methodology for the identification of ubiquitin and ubiquitin-like protein conjugation sites identifies novel ubiquitin-like protein chain linkages. Proteomics 2010; 10:254-65. [PMID: 20029837 DOI: 10.1002/pmic.200900648] [Citation(s) in RCA: 26] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Ubiquitin (Ub) and the ubiquitin-like proteins (Ubls) comprise a remarkable assortment of polypeptides that are covalently conjugated to target proteins (or other biomolecules) to modulate their intracellular localization, half-life, and/or activity. Identification of Ub/Ubl conjugation sites on a protein of interest can thus be extremely important for understanding how it is regulated. While MS has become a powerful tool for the study of many classes of PTMs, the identification of Ub/Ubl conjugation sites presents a number of unique challenges. Here, we present an improved Ub/Ubl conjugation site identification strategy, utilizing SUMmOn analysis and an additional protease (lysyl endopeptidase C), as a complement to standard approaches. As compared with standard trypsin proteolysis-database search protocols alone, the addition of SUMmOn analysis can (i) identify Ubl conjugation sites that are not detected by standard database searching methods, (ii) better preserve Ub/Ubl conjugate identity, and (iii) increase the number of identifications of Ub/Ubl modifications in lysine-rich protein regions. Using this methodology, we characterize for the first time a number of novel Ubl linkages and conjugation sites, including alternative yeast (K54) and mammalian small ubiquitin-related modifier (SUMO) chain (SUMO-2 K42, SUMO-3 K41) assemblies, as well as previously unreported NEDD8 chain (K27, K33, and K54) topologies.
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Affiliation(s)
- Stanley M Jeram
- Ontario Cancer Institute, and McLaughlin Centre for Molecular Medicine, Toronto, ON, M5G 1L7, Canada
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