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Renzone G, Arena S, Scaloni A. Cross-linking reactions in food proteins and proteomic approaches for their detection. MASS SPECTROMETRY REVIEWS 2022; 41:861-898. [PMID: 34250627 DOI: 10.1002/mas.21717] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Revised: 06/29/2021] [Accepted: 06/29/2021] [Indexed: 06/13/2023]
Abstract
Various protein cross-linking reactions leading to molecular polymerization and covalent aggregates have been described in processed foods. They are an undesired side effect of processes designed to reduce bacterial load, extend shelf life, and modify technological properties, as well as being an expected result of treatments designed to modify raw material texture and function. Although the formation of these products is known to affect the sensory and technological properties of foods, the corresponding cross-linking reactions and resulting protein polymers have not yet undergone detailed molecular characterization. This is essential for describing how their generation can be related to food processing conditions and quality parameters. Due to the complex structure of cross-linked species, bottom-up proteomic procedures developed to characterize various amino acid modifications associated with food processing conditions currently offer a limited molecular description of bridged peptide structures. Recent progress in cross-linking mass spectrometry for the topological characterization of protein complexes has facilitated the development of various proteomic methods and bioinformatic tools for unveiling bridged species, which can now also be used for the detailed molecular characterization of polymeric cross-linked products in processed foods. We here examine their benefits and limitations in terms of evaluating cross-linked food proteins and propose future scenarios for application in foodomics. They offer potential for understanding the protein cross-linking formation mechanisms in processed foods, and how the inherent beneficial properties of treated foodstuffs can be preserved or enhanced.
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Affiliation(s)
- Giovanni Renzone
- Proteomics and Mass Spectrometry Laboratory, ISPAAM, National Research Council, Naples, Italy
| | - Simona Arena
- Proteomics and Mass Spectrometry Laboratory, ISPAAM, National Research Council, Naples, Italy
| | - Andrea Scaloni
- Proteomics and Mass Spectrometry Laboratory, ISPAAM, National Research Council, Naples, Italy
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2
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Corlett A, Sani MA, Van Zuylekom J, Ang CS, von Guggenberg E, Cullinane C, Blyth B, Hicks RJ, Roselt PD, Thompson PE, Hutton CA, Haskali MB. A New Turn in Peptide-Based Imaging Agents: Foldamers Afford Improved Theranostics Targeting Cholecystokinin-2 Receptor-Positive Cancer. J Med Chem 2021; 64:4841-4856. [PMID: 33826325 DOI: 10.1021/acs.jmedchem.0c02213] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Proteins adopt unique folded secondary and tertiary structures that are responsible for their remarkable biological properties. This structural complexity is key in designing efficacious peptides that can mimic the three-dimensional structure needed for biological function. In this study, we employ different chemical strategies to induce and stabilize a β-hairpin fold of peptides targeting cholecystokinin-2 receptors for theranostic application (combination of a targeted therapeutic and a diagnostic companion). The newly developed peptides exhibited enhanced folding capacity as demonstrated by circular dichroism (CD) spectroscopy, ion-mobility spectrometry-mass spectrometry, and two-dimensional (2D) NMR experiments. Enhanced folding characteristics of the peptides led to increased biological potency, affording four optimal Ga-68 labeled radiotracers ([68Ga]Ga-4b, [68Ga]Ga-11b-13b) targeting CCK-2R. In particular, [68Ga]Ga-12b and [68Ga]Ga-13b presented improved metabolic stability, enhanced cell internalization, and up to 6 fold increase in tumor uptake. These peptides hold great promise as next-generation theranostic radiopharmaceuticals.
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Affiliation(s)
- Alicia Corlett
- Department of Nuclear Medicine, The Royal Melbourne Hospital, Melbourne, VIC 3000, Australia
| | | | - Jessica Van Zuylekom
- The Centre for Molecular Imaging and Translational Research Laboratory, The Peter MacCallum Cancer Centre, Melbourne, VIC 3000, Australia
| | - Ching-Seng Ang
- The Mass Spectrometry and Proteomics Facility, Bio21 Molecular Science and Biotechnology Institute, University of Melbourne, Parkville 3010, Australia
| | | | - Carleen Cullinane
- The Centre for Molecular Imaging and Translational Research Laboratory, The Peter MacCallum Cancer Centre, Melbourne, VIC 3000, Australia.,Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, VIC 3010, Australia
| | - Benjamin Blyth
- The Centre for Molecular Imaging and Translational Research Laboratory, The Peter MacCallum Cancer Centre, Melbourne, VIC 3000, Australia.,Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, VIC 3010, Australia
| | - Rodney J Hicks
- The Centre for Molecular Imaging and Translational Research Laboratory, The Peter MacCallum Cancer Centre, Melbourne, VIC 3000, Australia.,Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, VIC 3010, Australia
| | - Peter D Roselt
- The Radiopharmaceutical Research Laboratory, The Peter MacCallum Cancer Centre, Melbourne, VIC 3000, Australia
| | - Philip E Thompson
- Medicinal Chemistry, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University (Parkville Campus), Monash Institute of Pharmaceutical Sciences, 381 Royal Parade, Parkville VIC 3052, Australia
| | | | - Mohammad B Haskali
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, VIC 3010, Australia.,The Radiopharmaceutical Research Laboratory, The Peter MacCallum Cancer Centre, Melbourne, VIC 3000, Australia
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3
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Fasci D, van Ingen H, Scheltema RA, Heck AJR. Histone Interaction Landscapes Visualized by Crosslinking Mass Spectrometry in Intact Cell Nuclei. Mol Cell Proteomics 2018; 17:2018-2033. [PMID: 30021884 DOI: 10.1074/mcp.ra118.000924] [Citation(s) in RCA: 83] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2018] [Revised: 07/17/2018] [Indexed: 02/03/2023] Open
Abstract
Cells organize their actions partly through tightly controlled protein-protein interactions-collectively termed the interactome. Here we use crosslinking mass spectrometry (XL-MS) to chart the protein-protein interactions in intact human nuclei. Overall, we identified ∼8,700 crosslinks, of which 2/3 represent links connecting distinct proteins. From these data, we gain insights on interactions involving histone proteins. We observed that core histones on the nucleosomes expose well-defined interaction hot spots. For several nucleosome-interacting proteins, such as USF3 and Ran GTPase, the data allowed us to build low-resolution models of their binding mode to the nucleosome. For HMGN2, the data guided the construction of a refined model of the interaction with the nucleosome, based on complementary NMR, XL-MS, and modeling. Excitingly, the analysis of crosslinks carrying posttranslational modifications allowed us to extract how specific modifications influence nucleosome interactions. Overall, our data depository will support future structural and functional analysis of cell nuclei, including the nucleoprotein assemblies they harbor.
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Affiliation(s)
- Domenico Fasci
- From the ‡Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences.,§Netherlands Proteomics Centre, and
| | - Hugo van Ingen
- ¶NMR Spectroscopy Research Group, Bijvoet Center for Biomolecular Research, University of Utrecht, Padualaan 8, 3584 CH, Utrecht, The Netherlands
| | - Richard A Scheltema
- From the ‡Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences; .,§Netherlands Proteomics Centre, and
| | - Albert J R Heck
- From the ‡Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences; .,§Netherlands Proteomics Centre, and
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4
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Mapping disulfide bonds from sub-micrograms of purified proteins or micrograms of complex protein mixtures. BIOPHYSICS REPORTS 2018; 4:68-81. [PMID: 29756007 PMCID: PMC5937861 DOI: 10.1007/s41048-018-0050-6] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2018] [Accepted: 03/08/2018] [Indexed: 11/16/2022] Open
Abstract
Disulfide bonds are vital for protein functions, but locating the linkage sites has been a challenge in protein chemistry, especially when the quantity of a sample is small or the complexity is high. In 2015, our laboratory developed a sensitive and efficient method for mapping protein disulfide bonds from simple or complex samples (Lu et al. in Nat Methods 12:329, 2015). This method is based on liquid chromatography–mass spectrometry (LC–MS) and a powerful data analysis software tool named pLink. To facilitate application of this method, we present step-by-step disulfide mapping protocols for three types of samples—purified proteins in solution, proteins in SDS-PAGE gels, and complex protein mixtures in solution. The minimum amount of protein required for this method can be as low as several hundred nanograms for purified proteins, or tens of micrograms for a mixture of hundreds of proteins. The entire workflow—from sample preparation to LC–MS and data analysis—is described in great detail. We believe that this protocol can be easily implemented in any laboratory with access to a fast-scanning, high-resolution, and accurate-mass LC–MS system.
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Maes E, Dyer JM, McKerchar HJ, Deb-Choudhury S, Clerens S. Protein-protein cross-linking and human health: the challenge of elucidating with mass spectrometry. Expert Rev Proteomics 2017; 14:917-929. [PMID: 28759730 DOI: 10.1080/14789450.2017.1362336] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
INTRODUCTION In several biomedical research fields, the cross-linking of peptides and proteins has an important impact on health and wellbeing. It is therefore of crucial importance to study this class of post-translational modifications in detail. The huge potential of mass spectrometric technologies in the mapping of these protein-protein cross-links is however overshadowed by the challenges that the field has to overcome. Areas covered: In this review, we summarize the different pitfalls and challenges that the protein-protein cross-linking field is confronted with when using mass spectrometry approaches. We additionally focus on native disulfide bridges as an example and provide some examples of cross-links that are important in the biomedical field. Expert commentary: The current flow of methodological improvements, mainly from the chemical cross-linking field, has delivered a significant contribution to deciphering native and insult-induced cross-links. Although an automated data analysis of proteome-wide peptide cross-linking is currently only possible in chemical cross-linking experiments, the field is well on the way towards a more automated analysis of native and insult-induced cross-links in raw mass spectrometry data that will boost its potential in biomedical applications.
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Affiliation(s)
- Evelyne Maes
- a Food & Bio-Based Products, AgResearch Ltd ., Lincoln , New Zealand
| | - Jolon M Dyer
- a Food & Bio-Based Products, AgResearch Ltd ., Lincoln , New Zealand.,b Biomolecular Interaction Centre , University of Canterbury , Christchurch , New Zealand.,c Riddet Institute, Massey University , Palmerston North , New Zealand.,d Wine, Food & Molecular Biosciences , Lincoln University , Lincoln , New Zealand
| | - Hannah J McKerchar
- a Food & Bio-Based Products, AgResearch Ltd ., Lincoln , New Zealand.,b Biomolecular Interaction Centre , University of Canterbury , Christchurch , New Zealand
| | | | - Stefan Clerens
- a Food & Bio-Based Products, AgResearch Ltd ., Lincoln , New Zealand.,b Biomolecular Interaction Centre , University of Canterbury , Christchurch , New Zealand
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Lam MPY, Lau E, Ng DCM, Wang D, Ping P. Cardiovascular proteomics in the era of big data: experimental and computational advances. Clin Proteomics 2016; 13:23. [PMID: 27980500 PMCID: PMC5137214 DOI: 10.1186/s12014-016-9124-y] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2016] [Accepted: 08/24/2016] [Indexed: 01/14/2023] Open
Abstract
Proteomics plays an increasingly important role in our quest to understand cardiovascular biology. Fueled by analytical and computational advances in the past decade, proteomics applications can now go beyond merely inventorying protein species, and address sophisticated questions on cardiac physiology. The advent of massive mass spectrometry datasets has in turn led to increasing intersection between proteomics and big data science. Here we review new frontiers in technological developments and their applications to cardiovascular medicine. The impact of big data science on cardiovascular proteomics investigations and translation to medicine is highlighted.
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Affiliation(s)
- Maggie P Y Lam
- NIH BD2K Center of Excellence at UCLA; Department of Physiology, University of California at Los Angeles, 675 Charles E. Young Drive, Los Angeles, CA 90095 USA
| | - Edward Lau
- NIH BD2K Center of Excellence at UCLA; Department of Physiology, University of California at Los Angeles, 675 Charles E. Young Drive, Los Angeles, CA 90095 USA
| | - Dominic C M Ng
- NIH BD2K Center of Excellence at UCLA; Department of Physiology, University of California at Los Angeles, 675 Charles E. Young Drive, Los Angeles, CA 90095 USA
| | - Ding Wang
- NIH BD2K Center of Excellence at UCLA; Department of Physiology, University of California at Los Angeles, 675 Charles E. Young Drive, Los Angeles, CA 90095 USA
| | - Peipei Ping
- NIH BD2K Center of Excellence at UCLA; Department of Physiology, University of California at Los Angeles, 675 Charles E. Young Drive, Los Angeles, CA 90095 USA ; Department of Medicine, University of California at Los Angeles, 675 Charles E. Young Drive, Los Angeles, CA 90095 USA ; Department of Bioinformatics, University of California at Los Angeles, 675 Charles E. Young Drive, Los Angeles, CA 90095 USA
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7
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Sarpe V, Rafiei A, Hepburn M, Ostan N, Schryvers AB, Schriemer DC. High Sensitivity Crosslink Detection Coupled With Integrative Structure Modeling in the Mass Spec Studio. Mol Cell Proteomics 2016; 15:3071-80. [PMID: 27412762 DOI: 10.1074/mcp.o116.058685] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2016] [Indexed: 01/21/2023] Open
Abstract
The Mass Spec Studio package was designed to support the extraction of hydrogen-deuterium exchange and covalent labeling data for a range of mass spectrometry (MS)-based workflows, to integrate with restraint-driven protein modeling activities. In this report, we present an extension of the underlying Studio framework and provide a plug-in for crosslink (XL) detection. To accommodate flexibility in XL methods and applications, while maintaining efficient data processing, the plug-in employs a peptide library reduction strategy via a presearch of the tandem-MS data. We demonstrate that prescoring linear unmodified peptide tags using a probabilistic approach substantially reduces search space by requiring both crosslinked peptides to generate sparse data attributable to their linear forms. The method demonstrates highly sensitive crosslink peptide identification with a low false positive rate. Integration with a Haddock plug-in provides a resource that can combine multiple sources of data for protein modeling activities. We generated a structural model of porcine transferrin bound to TbpB, a membrane-bound receptor essential for iron acquisition in Actinobacillus pleuropneumoniae Using mutational data and crosslinking restraints, we confirm the mechanism by which TbpB recognizes the iron-loaded form of transferrin, and note the requirement for disparate sources of restraint data for accurate model construction. The software plugin is freely available at www.msstudio.ca.
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Affiliation(s)
- Vladimir Sarpe
- From the ‡Department of Biochemistry and Molecular Biology
| | | | - Morgan Hepburn
- From the ‡Department of Biochemistry and Molecular Biology
| | - Nicholas Ostan
- ¶Department of Microbiology, Immunology and Infectious Diseases, University of Calgary, Alberta, T2N 1N4, Canada
| | - Anthony B Schryvers
- From the ‡Department of Biochemistry and Molecular Biology, ¶Department of Microbiology, Immunology and Infectious Diseases, University of Calgary, Alberta, T2N 1N4, Canada
| | - David C Schriemer
- From the ‡Department of Biochemistry and Molecular Biology, §Department of Chemistry,
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8
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Giese SH, Fischer L, Rappsilber J. A Study into the Collision-induced Dissociation (CID) Behavior of Cross-Linked Peptides. Mol Cell Proteomics 2016; 15:1094-104. [PMID: 26719564 PMCID: PMC4813691 DOI: 10.1074/mcp.m115.049296] [Citation(s) in RCA: 65] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2015] [Revised: 12/03/2015] [Indexed: 11/13/2022] Open
Abstract
Cross-linking/mass spectrometry resolves protein-protein interactions or protein folds by help of distance constraints. Cross-linkers with specific properties such as isotope-labeled or collision-induced dissociation (CID)-cleavable cross-linkers are in frequent use to simplify the identification of cross-linked peptides. Here, we analyzed the mass spectrometric behavior of 910 unique cross-linked peptides in high-resolution MS1 and MS2 from published data and validate the observation by a ninefold larger set from currently unpublished data to explore if detailed understanding of their fragmentation behavior would allow computational delivery of information that otherwise would be obtained via isotope labels or CID cleavage of cross-linkers. Isotope-labeled cross-linkers reveal cross-linked and linear fragments in fragmentation spectra. We show that fragment mass and charge alone provide this information, alleviating the need for isotope-labeling for this purpose. Isotope-labeled cross-linkers also indicate cross-linker-containing, albeit not specifically cross-linked, peptides in MS1. We observed that acquisition can be guided to better than twofold enrich cross-linked peptides with minimal losses based on peptide mass and charge alone. By help of CID-cleavable cross-linkers, individual spectra with only linear fragments can be recorded for each peptide in a cross-link. We show that cross-linked fragments of ordinary cross-linked peptides can be linearized computationally and that a simplified subspectrum can be extracted that is enriched in information on one of the two linked peptides. This allows identifying candidates for this peptide in a simplified database search as we propose in a search strategy here. We conclude that the specific behavior of cross-linked peptides in mass spectrometers can be exploited to relax the requirements on cross-linkers.
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Affiliation(s)
- Sven H Giese
- From the ‡Department of Bioanalytics, Institute of Biotechnology, Technische Universität Berlin, 13355 Berlin, Germany; §Wellcome Trust Centre for Cell Biology, School of Biological Sciences, University of Edinburgh, Edinburgh EH9 3BF, United Kingdom
| | - Lutz Fischer
- §Wellcome Trust Centre for Cell Biology, School of Biological Sciences, University of Edinburgh, Edinburgh EH9 3BF, United Kingdom
| | - Juri Rappsilber
- From the ‡Department of Bioanalytics, Institute of Biotechnology, Technische Universität Berlin, 13355 Berlin, Germany; §Wellcome Trust Centre for Cell Biology, School of Biological Sciences, University of Edinburgh, Edinburgh EH9 3BF, United Kingdom
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9
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Protein Structural Analysis via Mass Spectrometry-Based Proteomics. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2016; 919:397-431. [PMID: 27975228 DOI: 10.1007/978-3-319-41448-5_19] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/03/2022]
Abstract
Modern mass spectrometry (MS) technologies have provided a versatile platform that can be combined with a large number of techniques to analyze protein structure and dynamics. These techniques include the three detailed in this chapter: (1) hydrogen/deuterium exchange (HDX), (2) limited proteolysis, and (3) chemical crosslinking (CX). HDX relies on the change in mass of a protein upon its dilution into deuterated buffer, which results in varied deuterium content within its backbone amides. Structural information on surface exposed, flexible or disordered linker regions of proteins can be achieved through limited proteolysis, using a variety of proteases and only small extents of digestion. CX refers to the covalent coupling of distinct chemical species and has been used to analyze the structure, function and interactions of proteins by identifying crosslinking sites that are formed by small multi-functional reagents, termed crosslinkers. Each of these MS applications is capable of revealing structural information for proteins when used either with or without other typical high resolution techniques, including NMR and X-ray crystallography.
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10
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Kosinski J, von Appen A, Ori A, Karius K, Müller CW, Beck M. Xlink Analyzer: software for analysis and visualization of cross-linking data in the context of three-dimensional structures. J Struct Biol 2015; 189:177-83. [PMID: 25661704 PMCID: PMC4359615 DOI: 10.1016/j.jsb.2015.01.014] [Citation(s) in RCA: 123] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2014] [Revised: 01/26/2015] [Accepted: 01/28/2015] [Indexed: 12/25/2022]
Abstract
Structural characterization of large multi-subunit protein complexes often requires integrating various experimental techniques. Cross-linking mass spectrometry (XL-MS) identifies proximal protein residues and thus is increasingly used to map protein interactions and determine the relative orientation of subunits within the structure of protein complexes. To fully adapt XL-MS as a structure characterization technique, we developed Xlink Analyzer, a software tool for visualization and analysis of XL-MS data in the context of the three-dimensional structures. Xlink Analyzer enables automatic visualization of cross-links, identifies cross-links violating spatial restraints, calculates violation statistics, maps chemically modified surfaces, and allows interactive manipulations that facilitate analysis of XL-MS data and aid designing new experiments. We demonstrate these features by mapping interaction sites within RNA polymerase I and the Rvb1/2 complex. Xlink Analyzer is implemented as a plugin to UCSF Chimera, a standard structural biology software tool, and thus enables seamless integration of XL-MS data with, e.g. fitting of X-ray structures to EM maps. Xlink Analyzer is available for download at http://www.beck.embl.de/XlinkAnalyzer.html.
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Affiliation(s)
- Jan Kosinski
- European Molecular Biology Laboratory, Structural and Computational Biology Unit, Meyerhofstraße 1, 69117 Heidelberg, Germany
| | - Alexander von Appen
- European Molecular Biology Laboratory, Structural and Computational Biology Unit, Meyerhofstraße 1, 69117 Heidelberg, Germany
| | - Alessandro Ori
- European Molecular Biology Laboratory, Structural and Computational Biology Unit, Meyerhofstraße 1, 69117 Heidelberg, Germany
| | - Kai Karius
- European Molecular Biology Laboratory, Structural and Computational Biology Unit, Meyerhofstraße 1, 69117 Heidelberg, Germany
| | - Christoph W Müller
- European Molecular Biology Laboratory, Structural and Computational Biology Unit, Meyerhofstraße 1, 69117 Heidelberg, Germany
| | - Martin Beck
- European Molecular Biology Laboratory, Structural and Computational Biology Unit, Meyerhofstraße 1, 69117 Heidelberg, Germany.
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11
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Petrotchenko EV, Makepeace KA, Borchers CH. DXMSMS Match Program for Automated Analysis of LC‐MS/MS Data Obtained Using Isotopically Coded CID‐Cleavable Cross‐Linking Reagents. ACTA ACUST UNITED AC 2014; 48:8.18.1-8.18.19. [DOI: 10.1002/0471250953.bi0818s48] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Affiliation(s)
- Evgeniy V. Petrotchenko
- University of Victoria – Genome British Columbia Proteomics Centre, University of Victoria Victoria Canada
| | - Karl A.T. Makepeace
- University of Victoria – Genome British Columbia Proteomics Centre, University of Victoria Victoria Canada
| | - Christoph H. Borchers
- University of Victoria – Genome British Columbia Proteomics Centre, University of Victoria Victoria Canada
- Department of Biochemistry & Microbiology, University of Victoria, University of Victoria Victoria Canada
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12
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A gas phase cleavage reaction of cross-linked peptides for protein complex topology studies by peptide fragment fingerprinting from large sequence database. J Proteomics 2014; 108:65-77. [DOI: 10.1016/j.jprot.2014.05.003] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2014] [Revised: 04/23/2014] [Accepted: 05/08/2014] [Indexed: 11/23/2022]
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13
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Buncherd H, Roseboom W, Ghavim B, Du W, de Koning LJ, de Koster CG, de Jong L. Isolation of cross-linked peptides by diagonal strong cation exchange chromatography for protein complex topology studies by peptide fragment fingerprinting from large sequence databases. J Chromatogr A 2014; 1348:34-46. [DOI: 10.1016/j.chroma.2014.04.083] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2014] [Revised: 04/22/2014] [Accepted: 04/24/2014] [Indexed: 02/05/2023]
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