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Upadhyay M, Nair D, Moseley GW, Srivastava S, Kondabagil K. Giant Virus Global Proteomics Innovation: Comparative Evaluation of In-Gel and In-Solution Digestion Methods. OMICS : A JOURNAL OF INTEGRATIVE BIOLOGY 2024; 28:170-181. [PMID: 38621149 DOI: 10.1089/omi.2024.0012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/17/2024]
Abstract
With their unusually large genome and particle sizes, giant viruses (GVs) defy the conventional definition of viruses. Although most GVs isolated infect unicellular protozoans, such as amoeba, studies in the last decade have established their much wider prevalence infecting most eukaryotic supergroups and some giant viral families with the potential to be human pathogens. Their complexity, almost autonomous life cycle, and enigmatic evolution necessitate the study of GVs. The accurate assessment of GV proteome is a veritable challenge. We have compared the coverage of global protein identification using different methods for GVs isolated in Mumbai, Mimivirus Bombay (MVB), Powai Lake Megavirus (PLMV), and Kurlavirus (KV), along with two previously studied GVs, Acanthamoeba polyphaga Mimivirus (APMV) and Marseillevirus (MV). Our study shows that the simultaneous use of in-gel and in-solution digestion methods can significantly increase the coverage of protein identification in the global proteome analysis of purified GV particles. Combining the two methods of analyses, we identified an additional 72 proteins in APMV and 114 in MV compared with what have been previously reported. Similarly, proteomes of MVB, PLMV, and KV were analyzed, and a total of 242 proteins in MVB, 287 proteins in PLMV, and 174 proteins in KV were identified. Our results suggest that a combined methodology of in-gel and in-solution methods is more efficient and opens up new avenues for innovation in global proteome analysis of GVs. Future planetary health research on GVs can benefit from consideration of a broader range of proteomics methodologies as illustrated by the present study.
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Affiliation(s)
- Monica Upadhyay
- Department of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Mumbai, India
- Department of Microbiology, Biomedicine Discovery Institute, Monash University, Clayton, Australia
| | - Divya Nair
- Department of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Mumbai, India
| | - Gregory W Moseley
- Department of Microbiology, Biomedicine Discovery Institute, Monash University, Clayton, Australia
| | - Sanjeeva Srivastava
- Department of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Mumbai, India
| | - Kiran Kondabagil
- Department of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Mumbai, India
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2
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Aita SE, Montone CM, Taglioni E, Capriotti AL. Hempseed protein-derived short- and medium-chain peptides and their multifunctional properties. ADVANCES IN FOOD AND NUTRITION RESEARCH 2024; 110:275-325. [PMID: 38906589 DOI: 10.1016/bs.afnr.2024.01.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/23/2024]
Abstract
Nowadays, the growing knowledge about the high nutritional value and potential functionality of hempseeds, the edible fruits of the Cannabis sativa L. plant, has sparked a surge in interest in exploring the worthwhile attributes of hempseed proteins and peptides. This trend aligns with the increasing popularity of hemp-based food, assuming a vital role in the global food chain. This chapter targets the nutritional and chemical composition of hempseed in terms of short- and medium-chain bioactive peptides. The analytical approaches for their characterization and multifunctional properties are summarized in detail. Moreover, the processing, functionality, and application of various hempseed protein products are discussed. In the final part of the chapter-for evaluating their propensity to be transported by intestinal cells-the transepithelial transport of peptides within hempseed protein hydrolysate is highlighted.
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Affiliation(s)
- Sara Elsa Aita
- Department of Chemistry, Sapienza University of Rome, Rome, Italy
| | | | - Enrico Taglioni
- Department of Chemistry, Sapienza University of Rome, Rome, Italy
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3
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Degliesposti G. Peptide-Based Mass Spectrometry for the Investigation of Protein Complexes. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2024; 3234:31-40. [PMID: 38507198 DOI: 10.1007/978-3-031-52193-5_3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/22/2024]
Abstract
In the last two decades, biological mass spectrometry has become the gold standard for the identification of proteins in biological samples. The technological advancement of mass spectrometers and the development of methods for ionization, gas phase transfer, peptide fragmentation as well as for acquisition of high-resolution mass spectrometric data marked the success of the technique. This chapter introduces peptide-based mass spectrometry as a tool for the investigation of protein complexes. It provides an overview of the main steps for sample preparation starting from protein fractionation, reduction, alkylation and focus on the final step of protein digestion. The basic concepts of biological mass spectrometry as well as details about instrumental analysis and data acquisition are described. Finally, the most common methods for data analysis and sequence determination are summarized with an emphasis on its application to protein-protein complexes.
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Song JG, Baral KC, Kim GL, Park JW, Seo SH, Kim DH, Jung DH, Ifekpolugo NL, Han HK. Quantitative analysis of therapeutic proteins in biological fluids: recent advancement in analytical techniques. Drug Deliv 2023; 30:2183816. [PMID: 36880122 PMCID: PMC10003146 DOI: 10.1080/10717544.2023.2183816] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/08/2023] Open
Abstract
Pharmaceutical application of therapeutic proteins has been continuously expanded for the treatment of various diseases. Efficient and reliable bioanalytical methods are essential to expedite the identification and successful clinical development of therapeutic proteins. In particular, selective quantitative assays in a high-throughput format are critical for the pharmacokinetic and pharmacodynamic evaluation of protein drugs and to meet the regulatory requirements for new drug approval. However, the inherent complexity of proteins and many interfering substances presented in biological matrices have a great impact on the specificity, sensitivity, accuracy, and robustness of analytical assays, thereby hindering the quantification of proteins. To overcome these issues, various protein assays and sample preparation methods are currently available in a medium- or high-throughput format. While there is no standard or universal approach suitable for all circumstances, a liquid chromatography-tandem mass spectrometry (LC-MS/MS) assay often becomes a method of choice for the identification and quantitative analysis of therapeutic proteins in complex biological samples, owing to its high sensitivity, specificity, and throughput. Accordingly, its application as an essential analytical tool is continuously expanded in pharmaceutical R&D processes. Proper sample preparation is also important since clean samples can minimize the interference from co-existing substances and improve the specificity and sensitivity of LC-MS/MS assays. A combination of different methods can be utilized to improve bioanalytical performance and ensure more accurate quantification. This review provides an overview of various protein assays and sample preparation methods, with particular emphasis on quantitative protein analysis by LC-MS/MS.
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Affiliation(s)
- Jae Geun Song
- BK21 FOUR Team and Integrated Research Institute for Drug Development, College of Pharmacy, Dongguk University-Seoul, Goyang, Korea
| | - Kshitis Chandra Baral
- BK21 FOUR Team and Integrated Research Institute for Drug Development, College of Pharmacy, Dongguk University-Seoul, Goyang, Korea
| | - Gyu-Lin Kim
- BK21 FOUR Team and Integrated Research Institute for Drug Development, College of Pharmacy, Dongguk University-Seoul, Goyang, Korea
| | - Ji-Won Park
- BK21 FOUR Team and Integrated Research Institute for Drug Development, College of Pharmacy, Dongguk University-Seoul, Goyang, Korea
| | - Soo-Hwa Seo
- BK21 FOUR Team and Integrated Research Institute for Drug Development, College of Pharmacy, Dongguk University-Seoul, Goyang, Korea
| | - Da-Hyun Kim
- BK21 FOUR Team and Integrated Research Institute for Drug Development, College of Pharmacy, Dongguk University-Seoul, Goyang, Korea
| | - Dong Hoon Jung
- BK21 FOUR Team and Integrated Research Institute for Drug Development, College of Pharmacy, Dongguk University-Seoul, Goyang, Korea
| | - Nonye Linda Ifekpolugo
- BK21 FOUR Team and Integrated Research Institute for Drug Development, College of Pharmacy, Dongguk University-Seoul, Goyang, Korea
| | - Hyo-Kyung Han
- BK21 FOUR Team and Integrated Research Institute for Drug Development, College of Pharmacy, Dongguk University-Seoul, Goyang, Korea
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5
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Sinitcyn P, Richards AL, Weatheritt RJ, Brademan DR, Marx H, Shishkova E, Meyer JG, Hebert AS, Westphall MS, Blencowe BJ, Cox J, Coon JJ. Global detection of human variants and isoforms by deep proteome sequencing. Nat Biotechnol 2023; 41:1776-1786. [PMID: 36959352 PMCID: PMC10713452 DOI: 10.1038/s41587-023-01714-x] [Citation(s) in RCA: 43] [Impact Index Per Article: 43.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Accepted: 02/15/2023] [Indexed: 03/25/2023]
Abstract
An average shotgun proteomics experiment detects approximately 10,000 human proteins from a single sample. However, individual proteins are typically identified by peptide sequences representing a small fraction of their total amino acids. Hence, an average shotgun experiment fails to distinguish different protein variants and isoforms. Deeper proteome sequencing is therefore required for the global discovery of protein isoforms. Using six different human cell lines, six proteases, deep fractionation and three tandem mass spectrometry fragmentation methods, we identify a million unique peptides from 17,717 protein groups, with a median sequence coverage of approximately 80%. Direct comparison with RNA expression data provides evidence for the translation of most nonsynonymous variants. We have also hypothesized that undetected variants likely arise from mutation-induced protein instability. We further observe comparable detection rates for exon-exon junction peptides representing constitutive and alternative splicing events. Our dataset represents a resource for proteoform discovery and provides direct evidence that most frame-preserving alternatively spliced isoforms are translated.
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Affiliation(s)
- Pavel Sinitcyn
- Computational Systems Biochemistry Research Group, Max Planck Institute of Biochemistry, Martinsried, Germany
- Morgridge Institute for Research, Madison, WI, USA
| | - Alicia L Richards
- National Center for Quantitative Biology of Complex Systems, University of Wisconsin-Madison, Madison, WI, USA
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI, USA
| | - Robert J Weatheritt
- EMBL Australia and Garvan Institute of Medical Research, Sydney, New South Wales, Australia
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, New South Wales, Australia
| | - Dain R Brademan
- Morgridge Institute for Research, Madison, WI, USA
- Department of Biomolecular Chemistry, University of Wisconsin-Madison, Madison, WI, USA
| | - Harald Marx
- National Center for Quantitative Biology of Complex Systems, University of Wisconsin-Madison, Madison, WI, USA
- Department of Biomolecular Chemistry, University of Wisconsin-Madison, Madison, WI, USA
- Department of Microbiology and Ecosystem Science, University of Vienna, Vienna, Austria
| | - Evgenia Shishkova
- National Center for Quantitative Biology of Complex Systems, University of Wisconsin-Madison, Madison, WI, USA
- Department of Biomolecular Chemistry, University of Wisconsin-Madison, Madison, WI, USA
| | - Jesse G Meyer
- National Center for Quantitative Biology of Complex Systems, University of Wisconsin-Madison, Madison, WI, USA
- Department of Biomolecular Chemistry, University of Wisconsin-Madison, Madison, WI, USA
| | - Alexander S Hebert
- National Center for Quantitative Biology of Complex Systems, University of Wisconsin-Madison, Madison, WI, USA
| | - Michael S Westphall
- National Center for Quantitative Biology of Complex Systems, University of Wisconsin-Madison, Madison, WI, USA
- Department of Biomolecular Chemistry, University of Wisconsin-Madison, Madison, WI, USA
| | - Benjamin J Blencowe
- The Donnelly Centre, University of Toronto, Toronto, Ontario, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada
| | - Jürgen Cox
- Computational Systems Biochemistry Research Group, Max Planck Institute of Biochemistry, Martinsried, Germany.
| | - Joshua J Coon
- Morgridge Institute for Research, Madison, WI, USA.
- National Center for Quantitative Biology of Complex Systems, University of Wisconsin-Madison, Madison, WI, USA.
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI, USA.
- Department of Biomolecular Chemistry, University of Wisconsin-Madison, Madison, WI, USA.
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6
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Puliasis SS, Lewandowska D, Hemsley PA, Zhang R. ProtView: A Versatile Tool for In Silico Protease Evaluation and Selection in a Proteomic and Proteogenomic Context. J Proteome Res 2023. [PMID: 37248202 DOI: 10.1021/acs.jproteome.3c00135] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/31/2023]
Abstract
Many tools have been created to generate in silico proteome digests with different protease enzymes and provide useful information for selecting optimal digest schemes for specific needs. This can save on time and resources and generate insights on the observable proteome. However, there remains a need for a tool that evaluates digest schemes beyond protein and amino acid coverages in the proteomic domain. Here, we present ProtView, a versatile in silico protease combination digest evaluation workflow that maps in silico-digested peptides to both protein and genome references, so that the potential observable portions of the proteome, transcriptome, and genome can be identified. The proteomic identification and quantification of evidence for transcriptional, co-transcriptional, post-transcriptional, translational, and post-translational regulation can all be examined in silico with ProtView prior to an experiment. Benchmarking against biological data comparing multiple proteases shows that ProtView can correctly estimate performances among the digest schemes. ProtView provides this information in a way that is easy to interpret, allowing for digest schemes to be evaluated before carrying out an experiment, in context that can optimize both proteomic and proteogenomic experiments. ProtView is available at https://github.com/SSPuliasis/ProtView.
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Affiliation(s)
- Sophia S Puliasis
- Division of Plant Sciences, School of Life Sciences, University of Dundee, Dow Street, Dundee DD1 5EH, Scotland, UK
- Information and Computational Sciences, The James Hutton Institute, Invergowrie, Dundee DD2 5DA, Scotland, UK
| | - Dominika Lewandowska
- Cell and Molecular Sciences, The James Hutton Institute, Invergowrie, Dundee DD2 5DA, Scotland, UK
| | - Piers A Hemsley
- Division of Plant Sciences, School of Life Sciences, University of Dundee, Dow Street, Dundee DD1 5EH, Scotland, UK
- Cell and Molecular Sciences, The James Hutton Institute, Invergowrie, Dundee DD2 5DA, Scotland, UK
| | - Runxuan Zhang
- Information and Computational Sciences, The James Hutton Institute, Invergowrie, Dundee DD2 5DA, Scotland, UK
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7
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Abstract
In-gel digestion of protein spots derived from two-dimensional gels and their subsequent identification by mass spectrometry is involved in a multitude of mass spectrometry-driven proteomic experiments, including fluorescence two-dimensional difference gel electrophoresis (2D-DIGE). This type of proteomic methodology has been involved in the establishment of comparative proteome maps and in the identification of differentially expressed proteins and their isoforms in health and disease. Most in-gel digestion protocols follow a number of common steps including excision of the protein spots of interest, destaining, reduction and alkylation (for silver-stained gels), and dehydration and overnight digestion with the proteolytic enzyme of choice. While trypsin has been a mainstay of peptide digestion for many years, it does have its shortcomings, particularly related to incomplete peptide digestion, and this has led to a rise in popularity for other proteolytic enzymes either used alone or in combination. This chapter discusses the alternative enzymes available and describes the process of in-gel digestion using the enzyme trypsin.
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Affiliation(s)
| | - Kay Ohlendieck
- Department of Biology, Maynooth University, National University of Ireland, Maynooth, Co. Kildare, Ireland.
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8
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Khan RS, Rather AH, Wani TU, Rather SU, Amna T, Hassan MS, Sheikh FA. Recent trends using natural polymeric nanofibers as supports for enzyme immobilization and catalysis. Biotechnol Bioeng 2023; 120:22-40. [PMID: 36169115 DOI: 10.1002/bit.28246] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2022] [Revised: 08/25/2022] [Accepted: 09/23/2022] [Indexed: 11/09/2022]
Abstract
All the disciplines of science, especially biotechnology, have given continuous attention to the area of enzyme immobilization. However, the structural support made by material science intervention determines the performance of immobilized enzymes. Studies have proven that nanostructured supports can maintain better catalytic performance and improve immobilization efficiency. The recent trends in the application of nanofibers using natural polymers for enzyme immobilization have been addressed in this review article. A comprehensive survey about the immobilization strategies and their characteristics are highlighted. The natural polymers, e.g., chitin, chitosan, silk fibroin, gelatin, cellulose, and their blends with other synthetic polymers capable of immobilizing enzymes in their 1D nanofibrous form, are discussed. The multiple applications of enzymes immobilized on nanofibers in biocatalysis, biosensors, biofuels, antifouling, regenerative medicine, biomolecule degradation, etc.; some of these are discussed in this review article.
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Affiliation(s)
- Rumysa S Khan
- Nanostructured and Biomimetic Lab, Department of Nanotechnology, University of Kashmir Hazratbal, Srinagar, Jammu and Kashmir, India
| | - Anjum H Rather
- Nanostructured and Biomimetic Lab, Department of Nanotechnology, University of Kashmir Hazratbal, Srinagar, Jammu and Kashmir, India
| | - Taha U Wani
- Nanostructured and Biomimetic Lab, Department of Nanotechnology, University of Kashmir Hazratbal, Srinagar, Jammu and Kashmir, India
| | - Sami-Ullah Rather
- Department of Chemical and Materials Engineering, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Touseef Amna
- Department of Biology, Faculty of Science, Albaha University, Albaha, Saudi Arabia
| | - M Shamshi Hassan
- Department of Chemistry, Faculty of Science, Albaha University, Albaha, Saudi Arabia
| | - Faheem A Sheikh
- Nanostructured and Biomimetic Lab, Department of Nanotechnology, University of Kashmir Hazratbal, Srinagar, Jammu and Kashmir, India
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9
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Gong S, Hu X, Chen S, Sun B, Wu JL, Li N. Dual roles of drug or its metabolite-protein conjugate: Cutting-edge strategy of drug discovery using shotgun proteomics. Med Res Rev 2022; 42:1704-1734. [PMID: 35638460 DOI: 10.1002/med.21889] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Revised: 03/24/2022] [Accepted: 05/04/2022] [Indexed: 11/11/2022]
Abstract
Many drugs can bind directly to proteins or be bioactivated by metabolizing enzymes to form reactive metabolites (RMs) that rapidly bind to proteins to form drug-protein conjugates or metabolite-protein conjugates (DMPCs). The close relationship between DMPCs and idiosyncratic adverse drug reactions (IADRs) has been recognized; drug discovery teams tend to avoid covalent interactions in drug discovery projects. Covalent interactions in DMPCs can provide high potency and long action duration and conquer the intractable targets, inspiring drug design, and development. This forms the dual role feature of DMPCs. Understanding the functional implications of DMPCs in IADR control and therapeutic applications requires precise identification of these conjugates from complex biological samples. While classical biochemical methods have contributed significantly to DMPC detection in the past decades, the low abundance and low coverage of DMPCs have become a bottleneck in this field. An emerging transformation toward shotgun proteomics is on the rise. The evolving shotgun proteomics techniques offer improved reproducibility, throughput, specificity, operability, and standardization. Here, we review recent progress in the systematic discovery of DMPCs using shotgun proteomics. Furthermore, the applications of shotgun proteomics supporting drug development, toxicity mechanism investigation, and drug repurposing processes are also reviewed and prospected.
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Affiliation(s)
- Shilin Gong
- State Key Laboratory of Quality Research in Chinese Medicine, Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Taipa, Macau
| | - Xiaolan Hu
- State Key Laboratory of Quality Research in Chinese Medicine, Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Taipa, Macau
| | - Shengshuang Chen
- State Key Laboratory of Quality Research in Chinese Medicine, Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Taipa, Macau
| | - Baoqing Sun
- State Key Laboratory of Respiratory Disease, National Respiratory Medical Center, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Jian-Lin Wu
- State Key Laboratory of Quality Research in Chinese Medicine, Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Taipa, Macau
| | - Na Li
- State Key Laboratory of Quality Research in Chinese Medicine, Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Taipa, Macau
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Sharma KB, Aggarwal S, Yadav AK, Vrati S, Kalia M. Studying Autophagy Using a TMT-Based Quantitative Proteomics Approach. Methods Mol Biol 2022; 2445:183-203. [PMID: 34972993 DOI: 10.1007/978-1-0716-2071-7_12] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Maintenance of cellular homeostasis through regulated degradation of proteins and organelles is a defining feature of autophagy. This process itself is tightly regulated in a series of well-defined biochemical reactions governed largely by the highly conserved ATG protein family. Given its crucial role in regulating protein levels under both basal and stress conditions such as starvation and infection, genetic or pharmacological perturbation of autophagy results in massive changes in the cellular proteome and impacts nearly every biological process. Therefore, studying autophagy perturbations at a global scale assumes prime importance. In recent years, quantitative mass spectrometry (MS)-based proteomics has emerged as a powerful approach to explore biological processes through global proteome quantification analysis. Tandem mass tag (TMT)-based MS proteomics is one such robust quantitative technique that can examine relative protein abundances in multiple samples (parallel multiplexing). Investigating autophagy through TMT-based MS approach can give great insights into autophagy-regulated biological processes, protein-protein interaction networks, spatiotemporal protein dynamics, and identification of new autophagy substrates. This chapter provides a detailed protocol for studying the impact of a dysfunctional autophagy pathway on the cellular proteome and pathways in a healthy vs. disease (virus infection) condition using a 16-plex TMT-based quantitative proteomics approach. We also provide a pipeline on data processing and analysis using available web-based tools.
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Affiliation(s)
- Kiran Bala Sharma
- Regional Centre for Biotechnology, NCR Biotech Science Cluster, Faridabad, Haryana, India
| | - Suruchi Aggarwal
- Translational Health Science & Technology Institute, NCR Biotech Science Cluster, Faridabad, Haryana, India
| | - Amit Kumar Yadav
- Translational Health Science & Technology Institute, NCR Biotech Science Cluster, Faridabad, Haryana, India
| | - Sudhanshu Vrati
- Regional Centre for Biotechnology, NCR Biotech Science Cluster, Faridabad, Haryana, India.
| | - Manjula Kalia
- Regional Centre for Biotechnology, NCR Biotech Science Cluster, Faridabad, Haryana, India.
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11
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Novel sequential immunocapture microflow LC/MS/MS approach to measuring PTH-Fc protein in human serum. Bioanalysis 2021; 14:137-149. [PMID: 34894717 DOI: 10.4155/bio-2021-0233] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
The quantitation of PTH-Fc in circulation by ligand binding assay presented a significant challenge due to the extremely low doses of administration, interference from the endogenous. A robust LC-MS/MS method to quantify the extremely low concentration of PTH-Fc in human serum utilized sequential immunoaffinity enrichment at PTH and Fc domains in conjunction with microflow LC-MS/MS technology significantly improved the sensitivity and selectivity. The assay displayed a quantitation range of 0.025-5.0 ng/ml and acceptable intraday and interday precision (%CV ≤ 15%) and accuracy (%bias ≤ ±15%) and can be routinely used for pharmacokinetic measurement of the drug. The novel sequential immunocapture workflow described herein can be applied to the quantitation of other recombinant therapeutic proteins to support clinical studies.
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12
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Chen Y, Fang Z, Zhou J, Qin H, Ye M. Mirror-Cutting-Based Digestion Strategy Enables the In-Depth and Accuracy Characterization of N-Linked Protein Glycosylation. J Proteome Res 2021; 20:4948-4958. [PMID: 34636569 DOI: 10.1021/acs.jproteome.1c00333] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
N-linked glycosylation plays important roles in multiple physiological and pathological processes, while the analysis coverage is still limited due to the insufficient digestion of glycoproteins, as well as incomplete ion fragments for intact glycopeptide determination. Herein, a mirror-cutting-based digestion strategy was proposed by combining two orthogonal proteases of LysargiNase and trypsin to characterize the macro- and micro-heterogeneity of protein glycosylation. Using the above two proteases, the b- or y-ion series of peptide sequences were, respectively, enhanced in MS/MS, generating the complementary spectra for peptide sequence identification. More than 27% (489/1778) of the site-specific glycoforms identified by LysargiNase digestion were not covered by trypsin digestion, suggesting the elevated coverage of protein sequences and site-specific glycoforms by the mirror-cutting method. Totally, 10,935 site-specific glycoforms were identified from mouse brain tissues in the 18 h MS analysis, which significantly enhanced the coverage of protein glycosylation. Intriguingly, 27 mannose-6-phosphate (M6P) glycoforms were determined with core fucosylation, and 23 of them were found with the "Y-HexNAc-Fuc" ions after manual checking. This is hitherto the first report of M6P and fucosylation co-modifications of glycopeptides, in which the mechanism and function still needs further exploration. The mirror-cutting digestion strategy also has great application potential in the exploration of missing glycoproteins from other complex samples to provide rich resources for glycobiology research.
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Affiliation(s)
- Yao Chen
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Science, Dalian 116023, China.,University of Chinese Academy of Sciences, Beijing 100049, China
| | - Zheng Fang
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Science, Dalian 116023, China.,University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jiahua Zhou
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Science, Dalian 116023, China.,University of Chinese Academy of Sciences, Beijing 100049, China
| | - Hongqiang Qin
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Science, Dalian 116023, China
| | - Mingliang Ye
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Science, Dalian 116023, China
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13
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A dual enzyme-containing microreactor for consecutive digestion based on hydrophilic ZIF-90 with size-selective sheltering. Colloids Surf B Biointerfaces 2021; 197:111422. [DOI: 10.1016/j.colsurfb.2020.111422] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2020] [Revised: 10/10/2020] [Accepted: 10/13/2020] [Indexed: 12/15/2022]
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14
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Illiano A, Pinto G, Melchiorre C, Carpentieri A, Faraco V, Amoresano A. Protein Glycosylation Investigated by Mass Spectrometry: An Overview. Cells 2020; 9:E1986. [PMID: 32872358 PMCID: PMC7564411 DOI: 10.3390/cells9091986] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2020] [Revised: 08/14/2020] [Accepted: 08/24/2020] [Indexed: 12/16/2022] Open
Abstract
The protein glycosylation is a post-translational modification of crucial importance for its involvement in molecular recognition, protein trafficking, regulation, and inflammation. Indeed, abnormalities in protein glycosylation are correlated with several disease states such as cancer, inflammatory diseases, and congenial disorders. The understanding of cellular mechanisms through the elucidation of glycan composition encourages researchers to find analytical solutions for their detection. Actually, the multiplicity and diversity of glycan structures bond to the proteins, the variations in polarity of the individual saccharide residues, and the poor ionization efficiencies make their detection much trickier than other kinds of biopolymers. An overview of the most prominent techniques based on mass spectrometry (MS) for protein glycosylation (glycoproteomics) studies is here presented. The tricks and pre-treatments of samples are discussed as a crucial step prodromal to the MS analysis to improve the glycan ionization efficiency. Therefore, the different instrumental MS mode is also explored for the qualitative and quantitative analysis of glycopeptides and the glycans structural composition, thus contributing to the elucidation of biological mechanisms.
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Affiliation(s)
- Anna Illiano
- Department of Chemical Sciences, University of Naples Federico II, Via Cinthia 26, 80126 Napoles, Italy; (A.I.); (G.P.); (C.M.); (A.C.); (A.A.)
- CEINGE Advanced Biotechnology, University of Naples Federico II, Via Cinthia 26, 80126 Napoles, Italy
| | - Gabriella Pinto
- Department of Chemical Sciences, University of Naples Federico II, Via Cinthia 26, 80126 Napoles, Italy; (A.I.); (G.P.); (C.M.); (A.C.); (A.A.)
| | - Chiara Melchiorre
- Department of Chemical Sciences, University of Naples Federico II, Via Cinthia 26, 80126 Napoles, Italy; (A.I.); (G.P.); (C.M.); (A.C.); (A.A.)
| | - Andrea Carpentieri
- Department of Chemical Sciences, University of Naples Federico II, Via Cinthia 26, 80126 Napoles, Italy; (A.I.); (G.P.); (C.M.); (A.C.); (A.A.)
| | - Vincenza Faraco
- Department of Chemical Sciences, University of Naples Federico II, Via Cinthia 26, 80126 Napoles, Italy; (A.I.); (G.P.); (C.M.); (A.C.); (A.A.)
| | - Angela Amoresano
- Department of Chemical Sciences, University of Naples Federico II, Via Cinthia 26, 80126 Napoles, Italy; (A.I.); (G.P.); (C.M.); (A.C.); (A.A.)
- Istituto Nazionale Biostrutture e Biosistemi—Consorzio Interuniversitario, Viale delle Medaglie d’Oro, 305, 00136 Rome, Italy
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15
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The Power of Three in Cannabis Shotgun Proteomics: Proteases, Databases and Search Engines. Proteomes 2020; 8:proteomes8020013. [PMID: 32549361 PMCID: PMC7356525 DOI: 10.3390/proteomes8020013] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2020] [Revised: 06/12/2020] [Accepted: 06/12/2020] [Indexed: 11/29/2022] Open
Abstract
Cannabis research has taken off since the relaxation of legislation, yet proteomics is still lagging. In 2019, we published three proteomics methods aimed at optimizing protein extraction, protein digestion for bottom-up and middle-down proteomics, as well as the analysis of intact proteins for top-down proteomics. The database of Cannabis sativa proteins used in these studies was retrieved from UniProt, the reference repositories for proteins, which is incomplete and therefore underrepresents the genetic diversity of this non-model species. In this fourth study, we remedy this shortcoming by searching larger databases from various sources. We also compare two search engines, the oldest, SEQUEST, and the most popular, Mascot. This shotgun proteomics experiment also utilizes the power of parallel digestions with orthogonal proteases of increasing selectivity, namely chymotrypsin, trypsin/Lys-C and Asp-N. Our results show that the larger the database the greater the list of accessions identified but the longer the duration of the search. Using orthogonal proteases and different search algorithms increases the total number of proteins identified, most of them common despite differing proteases and algorithms, but many of them unique as well.
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16
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Wang L, Cheng J, McNutt JE, Morin GB, Chen DDY. Dynamic pH barrage junction focusing of amino acids, peptides, and digested monoclonal antibodies in capillary electrophoresis-mass spectrometry. Electrophoresis 2020; 41:1832-1842. [PMID: 32436592 DOI: 10.1002/elps.202000076] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Revised: 05/05/2020] [Accepted: 05/07/2020] [Indexed: 01/28/2023]
Abstract
Dynamic pH barrage junction focusing in CE enables effective signal enhancement, quantitative capture efficiencies, and straightforward optimization. The method is a technical variant of dynamic pH junction focusing. CE separation with dynamic pH barrage junction focusing is compatible with both optical and mass spectrometric detection. We developed a CE-MS/MS method using hydrophilic polyethyleneimine-coated capillaries and validated it for the qualitative analysis of amino acids, peptides, and tryptic peptides of digested monoclonal antibodies. The S/N of extracted ion electropherograms of zwitterionic analytes were enhanced by approximately two orders of magnitude with a tradeoff of a shortened separation window. Online focusing improved the MS signal intensity of a diluted antibody digest, enabling more precursor ions to be analyzed with subsequent tandem mass spectrometric identification. It also broadened the concentration range of protein digest samples for which adequate sequence coverage data can be obtained. With only 0.9 ng of digested infliximab sample loaded into the capillary, 76% and 100% sequence coverage was realized for antibody heavy and light chains, respectively, after online focusing. Full coverage was achieved with 9 ng of injected digest.
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Affiliation(s)
- Lingyu Wang
- Department of Chemistry, University of British Columbia, Vancouver, BC, Canada
| | - Jianhui Cheng
- Department of Chemistry, University of British Columbia, Vancouver, BC, Canada
| | - Julie E McNutt
- Department of Chemistry, University of British Columbia, Vancouver, BC, Canada
| | | | - David D Y Chen
- Department of Chemistry, University of British Columbia, Vancouver, BC, Canada
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17
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Johnson SR, Rikli HG. Aspartic Acid Isomerization Characterized by High Definition Mass Spectrometry Significantly Alters the Bioactivity of a Novel Toxin from Poecilotheria. Toxins (Basel) 2020; 12:E207. [PMID: 32218140 PMCID: PMC7232244 DOI: 10.3390/toxins12040207] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2020] [Revised: 03/20/2020] [Accepted: 03/23/2020] [Indexed: 11/25/2022] Open
Abstract
Research in toxinology has created a pharmacological paradox. With an estimated 220,000 venomous animals worldwide, the study of peptidyl toxins provides a vast number of effector molecules. However, due to the complexity of the protein-protein interactions, there are fewer than ten venom-derived molecules on the market. Structural characterization and identification of post-translational modifications are essential to develop biological lead structures into pharmaceuticals. Utilizing advancements in mass spectrometry, we have created a high definition approach that fuses conventional high-resolution MS-MS with ion mobility spectrometry (HDMSE) to elucidate these primary structure characteristics. We investigated venom from ten species of "tiger" spider (Genus: Poecilotheria) and discovered they contain isobaric conformers originating from non-enzymatic Asp isomerization. One conformer pair conserved in five of ten species examined, denominated PcaTX-1a and PcaTX-1b, was found to be a 36-residue peptide with a cysteine knot, an amidated C-terminus, and isoAsp33Asp substitution. Although the isomerization of Asp has been implicated in many pathologies, this is the first characterization of Asp isomerization in a toxin and demonstrates the isomerized product's diminished physiological effects. This study establishes the value of a HDMSE approach to toxin screening and characterization.
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Affiliation(s)
- Stephen R. Johnson
- Carbon Dynamics Institute LLC, Sherman, IL 62684, USA
- Chemistry Department, University of Illinois Springfield, Springfield, IL 62703, USA
| | - Hillary G. Rikli
- College of Liberal Arts & Sciences, University of Illinois Springfield, Springfield, IL 62703, USA;
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18
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Hornburg D, Kruse T, Anderl F, Daschkin C, Semper RP, Klar K, Guenther A, Mejías-Luque R, Schneiderhan-Marra N, Mann M, Meissner F, Gerhard M. A mass spectrometry guided approach for the identification of novel vaccine candidates in gram-negative pathogens. Sci Rep 2019; 9:17401. [PMID: 31758014 PMCID: PMC6874673 DOI: 10.1038/s41598-019-53493-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2019] [Accepted: 10/27/2019] [Indexed: 12/20/2022] Open
Abstract
Vaccination is the most effective method to prevent infectious diseases. However, approaches to identify novel vaccine candidates are commonly laborious and protracted. While surface proteins are suitable vaccine candidates and can elicit antibacterial antibody responses, systematic approaches to define surfomes from gram-negatives have rarely been successful. Here we developed a combined discovery-driven mass spectrometry and computational strategy to identify bacterial vaccine candidates and validate their immunogenicity using a highly prevalent gram-negative pathogen, Helicobacter pylori, as a model organism. We efficiently isolated surface antigens by enzymatic cleavage, with a design of experiment based strategy to experimentally dissect cell surface-exposed from cytosolic proteins. From a total of 1,153 quantified bacterial proteins, we thereby identified 72 surface exposed antigens and further prioritized candidates by computational homology inference within and across species. We next tested candidate-specific immune responses. All candidates were recognized in sera from infected patients, and readily induced antibody responses after vaccination of mice. The candidate jhp_0775 induced specific B and T cell responses and significantly reduced colonization levels in mouse therapeutic vaccination studies. In infected humans, we further show that jhp_0775 is immunogenic and activates IFNγ secretion from peripheral CD4+ and CD8+ T cells. Our strategy provides a generic preclinical screening, selection and validation process for novel vaccine candidates against gram-negative bacteria, which could be employed to other gram-negative pathogens.
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Affiliation(s)
- Daniel Hornburg
- Max-Planck-Institute for Biochemistry, Martinsried, Germany
- Stanford University, School of Medicine, San Francisco, USA
| | - Tobias Kruse
- Institut für Medizinische Mikrobiologie, Immunologie und Hygiene, Technische Universität München, Munich, Germany
- ImevaX GmbH, Munich, Germany
| | - Florian Anderl
- Institut für Medizinische Mikrobiologie, Immunologie und Hygiene, Technische Universität München, Munich, Germany
- ImevaX GmbH, Munich, Germany
| | - Christina Daschkin
- Institut für Medizinische Mikrobiologie, Immunologie und Hygiene, Technische Universität München, Munich, Germany
| | - Raphaela P Semper
- Institut für Medizinische Mikrobiologie, Immunologie und Hygiene, Technische Universität München, Munich, Germany
- German Center for infection research, partner site Munich, Munich, Germany
| | | | - Anna Guenther
- NMI Natural and Medical Sciences Institute, University of Tübingen, Reutlingen, Germany
| | - Raquel Mejías-Luque
- Institut für Medizinische Mikrobiologie, Immunologie und Hygiene, Technische Universität München, Munich, Germany
- German Center for infection research, partner site Munich, Munich, Germany
| | | | - Matthias Mann
- Max-Planck-Institute for Biochemistry, Martinsried, Germany
| | - Felix Meissner
- Max-Planck-Institute for Biochemistry, Martinsried, Germany.
| | - Markus Gerhard
- Institut für Medizinische Mikrobiologie, Immunologie und Hygiene, Technische Universität München, Munich, Germany.
- ImevaX GmbH, Munich, Germany.
- German Center for infection research, partner site Munich, Munich, Germany.
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19
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Vincent D, Ezernieks V, Rochfort S, Spangenberg G. A Multiple Protease Strategy to Optimise the Shotgun Proteomics of Mature Medicinal Cannabis Buds. Int J Mol Sci 2019; 20:ijms20225630. [PMID: 31717952 PMCID: PMC6888629 DOI: 10.3390/ijms20225630] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2019] [Revised: 10/31/2019] [Accepted: 11/09/2019] [Indexed: 12/30/2022] Open
Abstract
Earlier this year we published a method article aimed at optimising protein extraction from mature buds of medicinal cannabis for trypsin-based shotgun proteomics (Vincent, D., et al. Molecules2019, 24, 659). We then developed a top-down proteomics (TDP) method (Vincent, D., et al. Proteomes2019, 7, 33). This follow-up study aims at optimising the digestion of medicinal cannabis proteins for identification purposes by bottom-up and middle-down proteomics (BUP and MDP). Four proteases, namely a mixture of trypsin/LysC, GluC, and chymotrypsin, which target different amino acids (AAs) and therefore are orthogonal and cleave proteins more or less frequently, were tested both on their own as well as sequentially or pooled, followed by nLC-MS/MS analyses of the peptide digests. Bovine serum albumin (BSA, 66 kDa) was used as a control of digestion efficiency. With this multiple protease strategy, BSA was reproducibly 97% sequenced, with peptides ranging from 0.7 to 6.4 kD containing 5 to 54 AA residues with 0 to 6 miscleavages. The proteome of mature apical buds from medicinal cannabis was explored more in depth with the identification of 27,123 peptides matching 494 unique accessions corresponding to 229 unique proteins from Cannabis sativa and close relatives, including 130 (57%) additional annotations when the list is compared to that of our previous BUP study (Vincent, D., et al. Molecules2019, 24, 659). Almost half of the medicinal cannabis proteins were identified with 100% sequence coverage, with peptides composed of 7 to 91 AA residues with up to 9 miscleavages and ranging from 0.6 to 10 kDa, thus falling into the MDP domain. Many post-translational modifications (PTMs) were identified, such as oxidation, phosphorylations, and N-terminus acetylations. This method will pave the way for deeper proteome exploration of the reproductive organs of medicinal cannabis, and therefore for molecular phenotyping within breeding programs.
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20
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Hinkle JD, D'Ippolito RA, Panepinto MC, Wang WH, Bai DL, Shabanowitz J, Hunt DF. Unambiguous Sequence Characterization of a Monoclonal Antibody in a Single Analysis Using a Nonspecific Immobilized Enzyme Reactor. Anal Chem 2019; 91:13547-13554. [PMID: 31584792 DOI: 10.1021/acs.analchem.9b02666] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Accurate sequence characterization is essential for the development of therapeutic antibodies by the pharmaceutical industry. Presented here is a methodology to obtain comprehensive sequence analysis of a monoclonal antibody. An enzyme reactor of immobilized Aspergillopepsin I, a highly stable nonspecific protease, was used to cleave reduced antibody subunits into a peptide profile ranging from 1 to 20 kDa. Utilizing the Thermo Orbitrap Fusion's unique instrument architecture combined with state-of-the-art instrument control software allowed for dynamic instrument methods that optimally characterize eluting peptides based on their size and charge density. Using a data-dependent instrument method, both collisional dissociation and electron transfer dissociation were used to fragment the appropriate charge state of analyte peptides. The instrument layout also allowed for scans to be taken in parallel using both the ion trap and Orbitrap concurrently, thus allowing larger peptides to be analyzed in high resolution using the Orbitrap while simultaneously analyzing tryptic-like peptides using the ion trap. We harnessed these capabilities to develop a custom method to optimally fragment the eluting peptides based on their mass and charge density. Using this approach, we obtained 100% sequence coverage of the total antibody in a single chromatographic analysis, enabling unambiguous sequence assignment of all residues.
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Affiliation(s)
- Joshua D Hinkle
- Department of Chemistry , University of Virginia , Charlottesville , Virginia 22904 , United States
| | - Robert A D'Ippolito
- Department of Chemistry , University of Virginia , Charlottesville , Virginia 22904 , United States
| | - Maria C Panepinto
- Department of Chemistry , University of Virginia , Charlottesville , Virginia 22904 , United States
| | - Wei-Han Wang
- Department of Chemistry , University of Virginia , Charlottesville , Virginia 22904 , United States
| | - Dina L Bai
- Department of Chemistry , University of Virginia , Charlottesville , Virginia 22904 , United States
| | - Jeffrey Shabanowitz
- Department of Chemistry , University of Virginia , Charlottesville , Virginia 22904 , United States
| | - Donald F Hunt
- Department of Chemistry , University of Virginia , Charlottesville , Virginia 22904 , United States.,Department of Pathology , University of Virginia , Charlottesville , Virginia 22908 , United States
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21
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Wang Y, Liu D, Crowell LE, Love KR, Wu SL, Hancock WS. The application of HPLC/MS analysis with a multi-enzyme digest strategy to characterize different interferon product variants produced from Pichia pastoris. Amino Acids 2019; 51:1353-1363. [PMID: 31446487 DOI: 10.1007/s00726-019-02772-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2019] [Accepted: 08/11/2019] [Indexed: 11/28/2022]
Abstract
Interferons are signaling proteins that belong to the large class of cytokines and human interferons which are classified based on the type of receptor interactions: type I, II and III. IFNα2b belongs to the type I interferon class with a major therapeutic application for the treatment of hepatitis B and C infections. A recombinant form of IFNα2b expressed in E. coli, known as IntronA, has been approved by US Food and Drug Administration (FDA). IFN γ, also known as type II interferon, plays a significant role in the inhibition of viral replication. Actimmune® is a US Food and Drug Administration (FDA) approved version of IFN γ for the indication of reducing infections associated with chronic granulomatous disease and severe malignant osteopetrosis. In this study we have applied advanced analytical methods for the characterization of IFNα2b and IFN γ produced from Pichia pastoris. The multi-enzyme digestion approach has been developed to allow measurement of 100% sequence coverage and detailed analysis of post-translational variants and degradation products. In this manner, we identified the following variants in IFN α2b: N-terminal residual leader sequence, an amino acid substitution, oxidation of methionine residues and two sites of high mannose N-glycosylation. In the Pichia IFN γ produced material, our approach detected variants resulting from glycosylation, C-terminal proteolysis, oxidation of methionine residues and deamidation. In this manner, the analytical program was able to support rapid process development as well as identify product variants and degradation products in the resulting product.
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Affiliation(s)
- Yu Wang
- Barnett Institute and Department of Chemistry and Chemical Biology, Northeastern University, 360 Huntington Avenue, Boston, MA, 02115, USA.
| | - Di Liu
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, 500 Main Street, Cambridge, MA, 02142, USA
| | - Laura E Crowell
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, 500 Main Street, Cambridge, MA, 02142, USA
| | - Kerry R Love
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, 500 Main Street, Cambridge, MA, 02142, USA
| | - Shiaw-Lin Wu
- BioAnalytix Inc., 790 Memorial Drive, Cambridge, MA, 02139, USA
| | - William S Hancock
- Barnett Institute and Department of Chemistry and Chemical Biology, Northeastern University, 360 Huntington Avenue, Boston, MA, 02115, USA
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22
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Dapic I, Baljeu-Neuman L, Uwugiaren N, Kers J, Goodlett DR, Corthals GL. Proteome analysis of tissues by mass spectrometry. MASS SPECTROMETRY REVIEWS 2019; 38:403-441. [PMID: 31390493 DOI: 10.1002/mas.21598] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/20/2019] [Accepted: 06/17/2019] [Indexed: 06/10/2023]
Abstract
Tissues and biofluids are important sources of information used for the detection of diseases and decisions on patient therapies. There are several accepted methods for preservation of tissues, among which the most popular are fresh-frozen and formalin-fixed paraffin embedded methods. Depending on the preservation method and the amount of sample available, various specific protocols are available for tissue processing for subsequent proteomic analysis. Protocols are tailored to answer various biological questions, and as such vary in lysis and digestion conditions, as well as duration. The existence of diverse tissue-sample protocols has led to confusion in how to choose the best protocol for a given tissue and made it difficult to compare results across sample types. Here, we summarize procedures used for tissue processing for subsequent bottom-up proteomic analysis. Furthermore, we compare protocols for their variations in the composition of lysis buffers, digestion procedures, and purification steps. For example, reports have shown that lysis buffer composition plays an important role in the profile of extracted proteins: the most common are tris(hydroxymethyl)aminomethane, radioimmunoprecipitation assay, and ammonium bicarbonate buffers. Although, trypsin is the most commonly used enzyme for proteolysis, in some protocols it is supplemented with Lys-C and/or chymotrypsin, which will often lead to an increase in proteome coverage. Data show that the selection of the lysis procedure might need to be tissue-specific to produce distinct protocols for individual tissue types. Finally, selection of the procedures is also influenced by the amount of sample available, which range from biopsies or the size of a few dozen of mm2 obtained with laser capture microdissection to much larger amounts that weight several milligrams.
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Affiliation(s)
- Irena Dapic
- International Centre for Cancer Vaccine Science, University of Gdansk, Gdansk, Poland
| | | | - Naomi Uwugiaren
- International Centre for Cancer Vaccine Science, University of Gdansk, Gdansk, Poland
| | - Jesper Kers
- Department of Pathology, Amsterdam Infection & Immunity Institute (AI&II), Amsterdam Cardiovascular Sciences (ACS), Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
- van 't Hoff Institute for Molecular Sciences, University of Amsterdam, Amsterdam, The Netherlands
- Ragon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology and Harvard University, Cambridge, MA
| | - David R Goodlett
- International Centre for Cancer Vaccine Science, University of Gdansk, Gdansk, Poland
- University of Maryland, 20N. Pine Street, Baltimore, MD 21201
| | - Garry L Corthals
- van 't Hoff Institute for Molecular Sciences, University of Amsterdam, Amsterdam, The Netherlands
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23
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Jiang T, Yu N, Kim J, Murgo JR, Kissai M, Ravichandran K, Miracco EJ, Presnyak V, Hua S. Oligonucleotide Sequence Mapping of Large Therapeutic mRNAs via Parallel Ribonuclease Digestions and LC-MS/MS. Anal Chem 2019; 91:8500-8506. [PMID: 31129964 DOI: 10.1021/acs.analchem.9b01664] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Characterization of mRNA sequences is a critical aspect of mRNA drug development and regulatory filing. Herein, we developed a novel bottom-up oligonucleotide sequence mapping workflow combining multiple endonucleases that cleave mRNA at different frequencies. RNase T1, colicin E5, and mazF were applied in parallel to provide complementary sequence coverage for large mRNAs. Combined use of multiple endonucleases resulted in significantly improved sequence coverage: greater than 70% sequence coverage was achieved on mRNAs near 3000 nucleotides long. Oligonucleotide mapping simulations with large human RNA databases demonstrate that the proposed workflow can positively identify a single correct sequence from hundreds of similarly sized sequences. In addition, the workflow is sensitive and specific enough to detect minor sequence impurities such as single nucleotide polymorphisms (SNPs) with a sensitivity of less than 1%. LC-MS/MS-based oligonucleotide sequence mapping can serve as an orthogonal sequence characterization method to techniques such as Sanger sequencing or next-generation sequencing (NGS), providing high-throughput sequence identification and sensitive impurity detection.
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Affiliation(s)
- Tao Jiang
- Moderna Inc. , 500 Technology Square , Cambridge , Massachusetts 02139 , United States
| | - Ningxi Yu
- Department of Chemistry , University of Cincinnati , Cincinnati , Ohio 45221 , United States
| | - Jaeah Kim
- Department of Pharmaceutical and Biomedical Sciences, College of Pharmacy , University of Georgia , Athens , Georgia 30602 , United States
| | - John-Ross Murgo
- Moderna Inc. , 500 Technology Square , Cambridge , Massachusetts 02139 , United States
| | - Mildred Kissai
- Moderna Inc. , 500 Technology Square , Cambridge , Massachusetts 02139 , United States
| | - Kanchana Ravichandran
- Moderna Inc. , 500 Technology Square , Cambridge , Massachusetts 02139 , United States
| | - Edward J Miracco
- Moderna Inc. , 500 Technology Square , Cambridge , Massachusetts 02139 , United States
| | - Vladimir Presnyak
- Moderna Inc. , 500 Technology Square , Cambridge , Massachusetts 02139 , United States
| | - Serenus Hua
- Moderna Inc. , 500 Technology Square , Cambridge , Massachusetts 02139 , United States
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24
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Morsa D, Baiwir D, La Rocca R, Zimmerman TA, Hanozin E, Grifnée E, Longuespée R, Meuwis MA, Smargiasso N, Pauw ED, Mazzucchelli G. Multi-Enzymatic Limited Digestion: The Next-Generation Sequencing for Proteomics? J Proteome Res 2019; 18:2501-2513. [DOI: 10.1021/acs.jproteome.9b00044] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Affiliation(s)
- Denis Morsa
- Mass Spectrometry Laboratory, MolSys Research Unit, University of Liege, Liege 4000, Belgium
- GIGA Proteomics Facility, University of Liege, Liege 4000, Belgium
| | - Dominique Baiwir
- Mass Spectrometry Laboratory, MolSys Research Unit, University of Liege, Liege 4000, Belgium
- GIGA Proteomics Facility, University of Liege, Liege 4000, Belgium
| | - Raphaël La Rocca
- Mass Spectrometry Laboratory, MolSys Research Unit, University of Liege, Liege 4000, Belgium
| | - Tyler A. Zimmerman
- Mass Spectrometry Laboratory, MolSys Research Unit, University of Liege, Liege 4000, Belgium
| | - Emeline Hanozin
- Mass Spectrometry Laboratory, MolSys Research Unit, University of Liege, Liege 4000, Belgium
| | - Elodie Grifnée
- Mass Spectrometry Laboratory, MolSys Research Unit, University of Liege, Liege 4000, Belgium
| | - Rémi Longuespée
- Mass Spectrometry Laboratory, MolSys Research Unit, University of Liege, Liege 4000, Belgium
| | - Marie-Alice Meuwis
- Mass Spectrometry Laboratory, MolSys Research Unit, University of Liege, Liege 4000, Belgium
- Department of Hepato-Gastroenterology and Digestive Oncology, CHU, Liege 4000, Belgium
- Laboratory of Translational Gastroenterology, GIGA, Liege 4000, Belgium
| | - Nicolas Smargiasso
- Mass Spectrometry Laboratory, MolSys Research Unit, University of Liege, Liege 4000, Belgium
| | - Edwin De Pauw
- Mass Spectrometry Laboratory, MolSys Research Unit, University of Liege, Liege 4000, Belgium
| | - Gabriel Mazzucchelli
- Mass Spectrometry Laboratory, MolSys Research Unit, University of Liege, Liege 4000, Belgium
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25
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Zhang B, Whiteaker JR, Hoofnagle AN, Baird GS, Rodland KD, Paulovich AG. Clinical potential of mass spectrometry-based proteogenomics. Nat Rev Clin Oncol 2019; 16:256-268. [PMID: 30487530 PMCID: PMC6448780 DOI: 10.1038/s41571-018-0135-7] [Citation(s) in RCA: 130] [Impact Index Per Article: 26.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Cancer genomics research aims to advance personalized oncology by finding and targeting specific genetic alterations associated with cancers. In genome-driven oncology, treatments are selected for individual patients on the basis of the findings of tumour genome sequencing. This personalized approach has prolonged the survival of subsets of patients with cancer. However, many patients do not respond to the predicted therapies based on the genomic profiles of their tumours. Furthermore, studies pairing genomic and proteomic analyses of samples from the same tumours have shown that the proteome contains novel information that cannot be discerned through genomic analysis alone. This observation has led to the concept of proteogenomics, in which both types of data are leveraged for a more complete view of tumour biology that might enable patients to be more successfully matched to effective treatments than they would using genomics alone. In this Perspective, we discuss the added value of proteogenomics over the current genome-driven approach to the clinical characterization of cancers and summarize current efforts to incorporate targeted proteomic measurements based on selected/multiple reaction monitoring (SRM/MRM) mass spectrometry into the clinical laboratory to facilitate clinical proteogenomics.
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Affiliation(s)
- Bing Zhang
- Department of Molecular and Human Genetics, Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX, USA
| | - Jeffrey R Whiteaker
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Andrew N Hoofnagle
- Department of Medicine, University of Washington, Seattle, WA, USA
- Department of Laboratory Medicine, University of Washington, Seattle, WA, USA
| | - Geoffrey S Baird
- Department of Laboratory Medicine, University of Washington, Seattle, WA, USA
- Department of Pathology, University of Washington, Seattle, WA, USA
| | - Karin D Rodland
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA
- Department of Cell, Development and Cancer Biology, Oregon Health & Sciences University, Portland, OR, USA
| | - Amanda G Paulovich
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
- Division of Medical Oncology, University of Washington School of Medicine, Seattle, WA, USA.
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26
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Yang W, Ao M, Hu Y, Li QK, Zhang H. Mapping the O-glycoproteome using site-specific extraction of O-linked glycopeptides (EXoO). Mol Syst Biol 2018; 14:e8486. [PMID: 30459171 PMCID: PMC6243375 DOI: 10.15252/msb.20188486] [Citation(s) in RCA: 91] [Impact Index Per Article: 15.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2018] [Revised: 10/16/2018] [Accepted: 10/17/2018] [Indexed: 01/30/2023] Open
Abstract
Protein glycosylation is one of the most abundant post-translational modifications. However, detailed analysis of O-linked glycosylation, a major type of protein glycosylation, has been severely impeded by the scarcity of suitable methodologies. Here, a chemoenzymatic method is introduced for the site-specific extraction of O-linked glycopeptides (EXoO), which enabled the mapping of over 3,000 O-linked glycosylation sites and definition of their glycans on over 1,000 proteins in human kidney tissues, T cells, and serum. This large-scale localization of O-linked glycosylation sites demonstrated that EXoO is an effective method for defining the site-specific O-linked glycoproteome in different types of sample. Detailed structural analysis of the sites identified revealed conserved motifs and topological orientations facing extracellular space, the cell surface, the lumen of the Golgi, and the endoplasmic reticulum (ER). EXoO was also able to reveal significant differences in the O-linked glycoproteome of tumor and normal kidney tissues pointing to its broader use in clinical diagnostics and therapeutics.
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Affiliation(s)
- Weiming Yang
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Minghui Ao
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Yingwei Hu
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Qing Kay Li
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Hui Zhang
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
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27
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Wu Z, Huang J, Lu J, Zhang X. Reversible Lysine Derivatization Enabling Improved Arg-C Digestion, a Highly Specific Arg-C Digestion Using Trypsin. Anal Chem 2018; 90:1554-1559. [DOI: 10.1021/acs.analchem.7b04410] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Zhen Wu
- State Key Laboratory of Genetic
Engineering, Department of Biochemistry, School of Life Sciences, Fudan University, Shanghai 200438, China
| | - Jichang Huang
- State Key Laboratory of Genetic
Engineering, Department of Biochemistry, School of Life Sciences, Fudan University, Shanghai 200438, China
| | - Jianan Lu
- State Key Laboratory of Genetic
Engineering, Department of Biochemistry, School of Life Sciences, Fudan University, Shanghai 200438, China
| | - Xumin Zhang
- State Key Laboratory of Genetic
Engineering, Department of Biochemistry, School of Life Sciences, Fudan University, Shanghai 200438, China
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28
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Abstract
In-gel digestion of protein spots derived from two-dimensional gels and their subsequent identification by mass spectrometry is involved in a multitude of mass spectrometry-driven proteomic experiments, including fluorescence difference gel electrophoresis (DIGE). This type of proteomic methodology has been involved in the establishment of comparative proteome maps and in the identification of differentially expressed proteins and protein isoforms in health and disease. Most in-gel digestion protocols follow a number of common steps including excision of the protein spots of interest, de-staining, reduction and alkylation (for silver-stained gels), dehydration and overnight digestion with the proteolytic enzyme of choice. While trypsin has been a mainstay of peptide digestion for many years, it does have its shortcomings, particularly related to incomplete peptide digestion, and this has led to a rise in popularity for other proteolytic enzymes either used alone or in combination. This chapter discusses the alternative enzymes available and describes the process of in-gel digestion using the enzyme trypsin.
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Affiliation(s)
- Sandra Murphy
- Department of Biology, Maynooth University, Maynooth, Co. Kildare, Ireland
| | - Kay Ohlendieck
- Department of Biology, Maynooth University, Maynooth, Co. Kildare, Ireland.
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29
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Zhang Y, Li Q, Huang J, Wu Z, Huang J, Huang L, Li Y, Ye J, Zhang X. An Approach to Incorporate Multi-Enzyme Digestion into C-TAILS for C-Terminomics Studies. Proteomics 2017; 18. [PMID: 29152854 DOI: 10.1002/pmic.201700034] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2017] [Revised: 10/18/2017] [Indexed: 11/07/2022]
Abstract
Protein C-termini study is still a challenging task and far behind its counterpart, N-termini study. MS based C-terminomics study is often hampered by the low ionization efficiency of C-terminal peptides and the lack of efficient enrichment methods. We previously optimized the C-terminal amine-based isotope labeling of substrates (C-TAILS) method and identified 369 genuine protein C-termini in Escherichia coli. A key limitation of C-TAILS is that the prior protection of amines and carboxylic groups at protein level makes Arg-C as the only specific enzyme in practice. Herein, we report an approach combining multi-enzyme digestion and C-TAILS, which significantly increases the identification rate of C-terminal peptides and consequently improves the applicability of C-TAILS in biological studies. We carry out a systematic study and confirm that the omission of the prior amine protection at protein level has a negligible influence and allows the application of multi-enzyme digestion. We successfully apply five different enzyme digestions to C-TAILS, including trypsin, Arg-C, Lys-C, Lys-N, and Lysarginase. As a result, we identify a total of 722 protein C-termini in E. coli, which is at least 66% more than the results using any single enzyme. Moreover, the favored enzyme and enzyme combination are discovered. Data are available via ProteomeXchange with identifier PXD004275.
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Affiliation(s)
- Yang Zhang
- State Key Laboratory of Genetic Engineering, Department of Biochemistry, School of Life Sciences, Fudan University, Shanghai, China
| | - Qingqing Li
- State Key Laboratory of Genetic Engineering, Department of Biochemistry, School of Life Sciences, Fudan University, Shanghai, China
| | - Jingnan Huang
- State Key Laboratory of Genetic Engineering, Department of Biochemistry, School of Life Sciences, Fudan University, Shanghai, China
| | - Zhen Wu
- State Key Laboratory of Genetic Engineering, Department of Biochemistry, School of Life Sciences, Fudan University, Shanghai, China
| | - Jichang Huang
- State Key Laboratory of Genetic Engineering, Department of Biochemistry, School of Life Sciences, Fudan University, Shanghai, China
| | - Lin Huang
- State Key Laboratory of Genetic Engineering, Department of Biochemistry, School of Life Sciences, Fudan University, Shanghai, China
| | - Yanhong Li
- State Key Laboratory of Genetic Engineering, Department of Biochemistry, School of Life Sciences, Fudan University, Shanghai, China
| | - Juanying Ye
- State Key Laboratory of Genetic Engineering, Department of Biochemistry, School of Life Sciences, Fudan University, Shanghai, China
| | - Xumin Zhang
- State Key Laboratory of Genetic Engineering, Department of Biochemistry, School of Life Sciences, Fudan University, Shanghai, China
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30
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Wang Y, Chen Y, Zhang Y, Wei W, Li Y, Zhang T, He F, Gao Y, Xu P. Multi-Protease Strategy Identifies Three PE2 Missing Proteins in Human Testis Tissue. J Proteome Res 2017; 16:4352-4363. [PMID: 28959888 DOI: 10.1021/acs.jproteome.7b00340] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Although 5 years of the missing proteins (MPs) study have been completed, searching for MPs remains one of the core missions of the Chromosome-Centric Human Proteome Project (C-HPP). Following the next-50-MPs challenge of the C-HPP, we have focused on the testis-enriched MPs by various strategies since 2015. On the basis of the theoretical analysis of MPs (2017-01, neXtProt) using multiprotease digestion, we found that nonconventional proteases (e.g. LysargiNase, GluC) could improve the peptide diversity and sequence coverage compared with Trypsin. Therefore, a multiprotease strategy was used for searching more MPs in the same human testis tissues separated by 10% SDS-PAGE, followed by high resolution LC-MS/MS system (Q Exactive HF). A total of 7838 proteins were identified. Among them, three PE2 MPs in neXtProt 2017-01 have been identified: beta-defensin 123 ( Q8N688 , chr 20q), cancer/testis antigen family 45 member A10 ( P0DMU9 , chr Xq), and Histone H2A-Bbd type 2/3 ( P0C5Z0 , chr Xq). However, because only one unique peptide of ≥9 AA was identified in beta-defensin 123 and Histone H2A-Bbd type 2/3, respectively, further analysis indicates that each falls under the exceptions clause of the HPP Guidelines v2.1. After a spectrum quality check, isobaric PTM and single amino acid variant (SAAV) filtering, and verification with a synthesized peptide, and based on overlapping peptides from different proteases, these three MPs should be considered as exemplary examples of MPs found by exceptional criteria. Other MPs were considered as candidates but need further validation. All MS data sets have been deposited to the ProteomeXchange with identifier PXD006465.
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Affiliation(s)
- Yihao Wang
- State Key Laboratory of Proteomics, National Center for Protein Sciences Beijing, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine , Beijing 102206, China.,Department of Pharmacology and Toxicology, Beijing Institute of Radiation Medicine , Beijing 100850, China
| | - Yang Chen
- State Key Laboratory of Proteomics, National Center for Protein Sciences Beijing, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine , Beijing 102206, China
| | - Yao Zhang
- State Key Laboratory of Biocontrol and Guangdong Provincial Key Laboratory of Plant Resources, College of Ecology and Evolution, Sun Yat-Sen University , Guangzhou 510275, China
| | - Wei Wei
- State Key Laboratory of Proteomics, National Center for Protein Sciences Beijing, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine , Beijing 102206, China
| | - Yanchang Li
- State Key Laboratory of Proteomics, National Center for Protein Sciences Beijing, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine , Beijing 102206, China
| | - Tao Zhang
- State Key Laboratory of Proteomics, National Center for Protein Sciences Beijing, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine , Beijing 102206, China
| | - Fuchu He
- State Key Laboratory of Proteomics, National Center for Protein Sciences Beijing, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine , Beijing 102206, China
| | - Yue Gao
- Department of Pharmacology and Toxicology, Beijing Institute of Radiation Medicine , Beijing 100850, China
| | - Ping Xu
- State Key Laboratory of Proteomics, National Center for Protein Sciences Beijing, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine , Beijing 102206, China.,Key Laboratory of Combinatorial Biosynthesis and Drug Discovery of Ministry of Education, School of Pharmaceutical Sciences, Wuhan University , Wuhan 430072, China.,Graduate School, Anhui Medical University , Hefei 230032, China.,Tianjin Baodi Hospital , Tianjin 301800, China
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31
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Ribeiro IC, Leclercq CC, Simões N, Toureiro A, Duarte I, Freire JB, Chaves MM, Renaut J, Pinheiro C. Identification of chickpea seed proteins resistant to simulated in vitro human digestion. J Proteomics 2017; 169:143-152. [PMID: 28634118 DOI: 10.1016/j.jprot.2017.06.009] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2017] [Revised: 04/20/2017] [Accepted: 06/12/2017] [Indexed: 12/30/2022]
Abstract
Proteins and peptides able to resist gastrointestinal digestion and reach the intestinal mucosa have the potential to influence human health. Chickpea (Cicer arietinum L.) seed proteins are able to resist cooking (86.9% total protein) and/or in vitro simulated human digestion (15.9% total protein resists soaking, cooking and digestion with pepsin and pancreatin). To identify and characterize proteins resisting digestion we made use of different MS methodologies. The efficiency of several proteases (trypsin, AspN, chymotrypsin and LysC) was tested, and two technologies were employed (MALDI-MS/MS and LC-nESI-MS/MS). Digestion with trypsin and AspN were most successful for the identification of seed proteins. When analyzed by MALDI- MS/MS, trypsin allowed the identification of at least one protein in 60% of the polypeptide bands, while AspN allows the identification in 48%. The use of LC-nESI-MS/MS, allowed the identification of much more proteins/polypeptides from digested seeds (232 vs 17 using trypsin). The majority of the proteins found to be able to resist simulated digestion were members of the 7S vicilin and 11S legumin seed storage protein classes, which are reported to contain bio-active functions. In addition, we have found proteins that had not yet been described as potentially able to cause an impact on human health. SIGNIFICANCE This is the first proteomic study to analyze the effect of processing and simulated human gastrointestinal digestion on the proteome of chickpea seed. Chickpea is reported to have anti-nutritional effects as well as nutraceutical properties, so the identification and characterization of the proteins able to resist digestion is crucial to understand the targets underlying such properties.
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Affiliation(s)
- I C Ribeiro
- Instituto de Tecnologia Química e Biológica, Universidade NOVA de Lisboa, Av. da República, EAN, 2781-901 Oeiras, Portugal
| | - C C Leclercq
- Luxembourg Institute of Science and Technology, 5, Avenue des Hauts-Forneaux, L-4362 Esch/Alzette, Luxembourg
| | - N Simões
- INIAV, Elvas, Apartado 6, 7350-951 Elvas, Portugal
| | - A Toureiro
- INIAV, Elvas, Apartado 6, 7350-951 Elvas, Portugal
| | - I Duarte
- INIAV, Elvas, Apartado 6, 7350-951 Elvas, Portugal
| | - J B Freire
- LEAF, Instituto Superior de Agronomia, Universidade de Lisboa, Tapada da Ajuda, 1349-017 Lisboa, Portugal
| | - M M Chaves
- Instituto de Tecnologia Química e Biológica, Universidade NOVA de Lisboa, Av. da República, EAN, 2781-901 Oeiras, Portugal
| | - J Renaut
- Luxembourg Institute of Science and Technology, 5, Avenue des Hauts-Forneaux, L-4362 Esch/Alzette, Luxembourg
| | - C Pinheiro
- Instituto de Tecnologia Química e Biológica, Universidade NOVA de Lisboa, Av. da República, EAN, 2781-901 Oeiras, Portugal; DCV - Faculdade de Ciências e Tecnologia, Universidade NOVA de Lisboa, 2829-516 Caparica, Portugal.
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32
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Liu JZ, Duan J, Ni M, Liu Z, Qiu WL, Whitham SA, Qian WJ. S-Nitrosylation inhibits the kinase activity of tomato phosphoinositide-dependent kinase 1 (PDK1). J Biol Chem 2017; 292:19743-19751. [PMID: 28972151 DOI: 10.1074/jbc.m117.803882] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2017] [Revised: 09/13/2017] [Indexed: 01/01/2023] Open
Abstract
It is well known that the reactive oxygen species NO can trigger cell death in plants and other organisms, but the underlying molecular mechanisms are not well understood. Here we provide evidence that NO may trigger cell death in tomato (Solanum lycopersicum) by inhibiting the activity of phosphoinositide-dependent kinase 1 (SlPDK1), a conserved negative regulator of cell death in yeasts, mammals, and plants, via S-nitrosylation. Biotin-switch assays indicated that SlPDK1 is a target of S-nitrosylation. Moreover, the kinase activity of SlPDK1 was inhibited by S-nitrosoglutathione in a concentration-dependent manner, indicating that SlPDK1 activity is abrogated by S-nitrosylation. The S-nitrosoglutathione-induced inhibition was reversible in the presence of a reducing agent but additively enhanced by hydrogen peroxide (H2O2). Our LC-MS/MS analyses further indicated that SlPDK1 is primarily S-nitrosylated on a cysteine residue at position 128 (Cys128), and substitution of Cys128 with serine completely abolished SlPDK1 kinase activity, suggesting that S-nitrosylation of Cys128 is responsible for SlPDK1 inhibition. In summary, our results establish a potential link between NO-triggered cell death and inhibition of the kinase activity of tomato PDK1.
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Affiliation(s)
- Jian-Zhong Liu
- From the College of Chemistry and Life Sciences, Zhejiang Normal University, 688 Yingbin Road, Jinhua, Zhejiang 321004, China,
| | - Jicheng Duan
- Integrative Omics, Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99352, and
| | - Min Ni
- From the College of Chemistry and Life Sciences, Zhejiang Normal University, 688 Yingbin Road, Jinhua, Zhejiang 321004, China
| | - Zhen Liu
- From the College of Chemistry and Life Sciences, Zhejiang Normal University, 688 Yingbin Road, Jinhua, Zhejiang 321004, China
| | - Wen-Li Qiu
- the Department of Plant Pathology and Microbiology, Iowa State University, Ames, Iowa 50011
| | - Steven A Whitham
- the Department of Plant Pathology and Microbiology, Iowa State University, Ames, Iowa 50011
| | - Wei-Jun Qian
- Integrative Omics, Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99352, and
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33
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Application of nanocomposite polymer hydrogels for ultra-sensitive fluorescence detection of proteins in gel electrophoresis. Trends Analyt Chem 2017. [DOI: 10.1016/j.trac.2017.05.003] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
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34
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Trevisan-Silva D, Bednaski AV, Fischer JSG, Veiga SS, Bandeira N, Guthals A, Marchini FK, Leprevost FV, Barbosa VC, Senff-Ribeiro A, Carvalho PC. A multi-protease, multi-dissociation, bottom-up-to-top-down proteomic view of the Loxosceles intermedia venom. Sci Data 2017; 4:170090. [PMID: 28696408 PMCID: PMC5505115 DOI: 10.1038/sdata.2017.90] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2016] [Accepted: 05/12/2017] [Indexed: 12/15/2022] Open
Abstract
Venoms are a rich source for the discovery of molecules with biotechnological applications, but their analysis is challenging even for state-of-the-art proteomics. Here we report on a large-scale proteomic assessment of the venom of Loxosceles intermedia, the so-called brown spider. Venom was extracted from 200 spiders and fractioned into two aliquots relative to a 10 kDa cutoff mass. Each of these was further fractioned and digested with trypsin (4 h), trypsin (18 h), pepsin (18 h), and chymotrypsin (18 h), then analyzed by MudPIT on an LTQ-Orbitrap XL ETD mass spectrometer fragmenting precursors by CID, HCD, and ETD. Aliquots of undigested samples were also analyzed. Our experimental design allowed us to apply spectral networks, thus enabling us to obtain meta-contig assemblies, and consequently de novo sequencing of practically complete proteins, culminating in a deep proteome assessment of the venom. Data are available via ProteomeXchange, with identifier PXD005523.
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Affiliation(s)
- Dilza Trevisan-Silva
- Department of Cell Biology, Federal University of Paraná, Curitiba 81531-980, Brazil
| | - Aline V Bednaski
- Department of Cell Biology, Federal University of Paraná, Curitiba 81531-980, Brazil
| | - Juliana S G Fischer
- Computational Mass Spectrometry &Proteomics Group, Carlos Chagas Institute, Fiocruz, Curitiba 81.350-010, Brazil
| | - Silvio S Veiga
- Department of Cell Biology, Federal University of Paraná, Curitiba 81531-980, Brazil
| | - Nuno Bandeira
- Center for Computational Mass Spectrometry, University of California, San Diego 92093-0404, USA
| | - Adrian Guthals
- Center for Computational Mass Spectrometry, University of California, San Diego 92093-0404, USA
| | - Fabricio K Marchini
- Functional Genomics Laboratory, Carlos Chagas Institute, Fiocruz, Curitiba 81.350-010, Brazil.,Mass Spectrometry Facility RPT02H, Carlos Chagas Institute, Fiocruz, Curitiba 81.350-010, Brazil
| | - Felipe V Leprevost
- Computational Mass Spectrometry &Proteomics Group, Carlos Chagas Institute, Fiocruz, Curitiba 81.350-010, Brazil
| | - Valmir C Barbosa
- Systems Engineering and Computer Science Program, COPPE, Federal University of Rio de Janeiro, Rio de Janeiro 21941-914, Brazil
| | - Andrea Senff-Ribeiro
- Department of Cell Biology, Federal University of Paraná, Curitiba 81531-980, Brazil
| | - Paulo C Carvalho
- Computational Mass Spectrometry &Proteomics Group, Carlos Chagas Institute, Fiocruz, Curitiba 81.350-010, Brazil.,Laboratory of Toxinology, Fiocruz, Rio de Janeiro 21040-900, Brazil
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35
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Zhang T, de Vries MP, Permentier HP, Bischoff R. Specific Affinity Enrichment of Electrochemically Cleaved Peptides Based on Cu(II)-Mediated Spirolactone Tagging. Anal Chem 2017; 89:7123-7129. [PMID: 28593756 PMCID: PMC5510089 DOI: 10.1021/acs.analchem.7b01039] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2017] [Accepted: 06/08/2017] [Indexed: 12/15/2022]
Abstract
Specific digestion of proteins is an essential step for mass spectrometry-based proteomics, and the chemical labeling of the resulting peptides is often used for peptide enrichment or the introduction of desirable tags. Electrochemical oxidation yielding specific cleavage C-terminal to tyrosine (Tyr) and tryptophan (Trp) residues provides a potential alternative to enzymatic digestion and a possibility for further chemical labeling by introducing reactive spirolactone moieties. However, spirolactone-containing peptides suffer from low stability due to hydrolysis and intramolecular side reactions. We found that Cu(II) ions stabilize the spirolactone and prevent intramolecular side reactions during chemical labeling, allowing efficient chemical tagging with a reduced excess of labeling reagent without intramolecular side reactions. On the basis of this reaction, we developed an analytical procedure combining electrochemical digestion, Cu(II)-mediated spirolactone biotinylation, and enrichment by avidin affinity chromatography with mass spectrometry. The method was optimized with the tripeptide LWL and subsequently applied to chicken egg white lysozyme, in which one biotinylated electrochemistry (EC)-cleaved peptide was identified after affinity enrichment. This proof-of-principle shows that specific enrichment of electrochemically cleaved spirolactone-containing peptides can be used for protein identification and notably that inclusion of Cu(II) ions is essential for stabilizing spirolactones for subsequent biotinylation.
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Affiliation(s)
- Tao Zhang
- Department
of Analytical Biochemistry and Interfaculty Mass Spectrometry Center, University of Groningen, A. Deusinglaan 1, 9713 AV, Groningen, The Netherlands
| | - Marcel P. de Vries
- Department
of Pediatrics, Center for Liver, Digestive and Metabolic Diseases, University Medical Center Groningen, University of
Groningen, Hanzeplein
1, 9713 GZ, Groningen, The Netherlands
| | - Hjalmar P. Permentier
- Department
of Analytical Biochemistry and Interfaculty Mass Spectrometry Center, University of Groningen, A. Deusinglaan 1, 9713 AV, Groningen, The Netherlands
| | - Rainer Bischoff
- Department
of Analytical Biochemistry and Interfaculty Mass Spectrometry Center, University of Groningen, A. Deusinglaan 1, 9713 AV, Groningen, The Netherlands
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36
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Hu H, Khatri K, Zaia J. Algorithms and design strategies towards automated glycoproteomics analysis. MASS SPECTROMETRY REVIEWS 2017; 36:475-498. [PMID: 26728195 PMCID: PMC4931994 DOI: 10.1002/mas.21487] [Citation(s) in RCA: 71] [Impact Index Per Article: 10.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/10/2015] [Accepted: 11/30/2015] [Indexed: 05/09/2023]
Abstract
Glycoproteomics involves the study of glycosylation events on protein sequences ranging from purified proteins to whole proteome scales. Understanding these complex post-translational modification (PTM) events requires elucidation of the glycan moieties (monosaccharide sequences and glycosidic linkages between residues), protein sequences, as well as site-specific attachment of glycan moieties onto protein sequences, in a spatial and temporal manner in a variety of biological contexts. Compared with proteomics, bioinformatics for glycoproteomics is immature and many researchers still rely on tedious manual interpretation of glycoproteomics data. As sample preparation protocols and analysis techniques have matured, the number of publications on glycoproteomics and bioinformatics has increased substantially; however, the lack of consensus on tool development and code reuse limits the dissemination of bioinformatics tools because it requires significant effort to migrate a computational tool tailored for one method design to alternative methods. This review discusses algorithms and methods in glycoproteomics, and refers to the general proteomics field for potential solutions. It also introduces general strategies for tool integration and pipeline construction in order to better serve the glycoproteomics community. © 2016 Wiley Periodicals, Inc. Mass Spec Rev 36:475-498, 2017.
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Affiliation(s)
- Han Hu
- Bioinformatics Program, Boston University, Boston, Massachusetts 02215, USA
- Center for Biomedical Mass Spectrometry, Department of Biochemistry, Boston University School of Medicine, Boston University, Boston, Massachusetts 02118, USA
| | - Kshitij Khatri
- Center for Biomedical Mass Spectrometry, Department of Biochemistry, Boston University School of Medicine, Boston University, Boston, Massachusetts 02118, USA
| | - Joseph Zaia
- Center for Biomedical Mass Spectrometry, Department of Biochemistry, Boston University School of Medicine, Boston University, Boston, Massachusetts 02118, USA
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37
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Vlastaridis P, Kyriakidou P, Chaliotis A, Van de Peer Y, Oliver SG, Amoutzias GD. Estimating the total number of phosphoproteins and phosphorylation sites in eukaryotic proteomes. Gigascience 2017; 6:1-11. [PMID: 28327990 PMCID: PMC5466708 DOI: 10.1093/gigascience/giw015] [Citation(s) in RCA: 123] [Impact Index Per Article: 17.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2016] [Accepted: 12/20/2016] [Indexed: 12/03/2022] Open
Abstract
Background Phosphorylation is the most frequent post-translational modification made to proteins and may regulate protein activity as either a molecular digital switch or a rheostat. Despite the cornucopia of high-throughput (HTP) phosphoproteomic data in the last decade, it remains unclear how many proteins are phosphorylated and how many phosphorylation sites (p-sites) can exist in total within a eukaryotic proteome. We present the first reliable estimates of the total number of phosphoproteins and p-sites for four eukaryotes (human, mouse, Arabidopsis, and yeast). Results In all, 187 HTP phosphoproteomic datasets were filtered, compiled, and studied along with two low-throughput (LTP) compendia. Estimates of the number of phosphoproteins and p-sites were inferred by two methods: Capture-Recapture, and fitting the saturation curve of cumulative redundant vs. cumulative non-redundant phosphoproteins/p-sites. Estimates were also adjusted for different levels of noise within the individual datasets and other confounding factors. We estimate that in total, 13 000, 11 000, and 3000 phosphoproteins and 230 000, 156 000, and 40 000 p-sites exist in human, mouse, and yeast, respectively, whereas estimates for Arabidopsis were not as reliable. Conclusions Most of the phosphoproteins have been discovered for human, mouse, and yeast, while the dataset for Arabidopsis is still far from complete. The datasets for p-sites are not as close to saturation as those for phosphoproteins. Integration of the LTP data suggests that current HTP phosphoproteomics appears to be capable of capturing 70 % to 95 % of total phosphoproteins, but only 40 % to 60 % of total p-sites.
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Affiliation(s)
- Panayotis Vlastaridis
- Bioinformatics Laboratory, Department of Biochemistry and Biotechnology, University of Thessaly, Larisa, 41500, Greece
| | - Pelagia Kyriakidou
- Bioinformatics Laboratory, Department of Biochemistry and Biotechnology, University of Thessaly, Larisa, 41500, Greece
| | - Anargyros Chaliotis
- Bioinformatics Laboratory, Department of Biochemistry and Biotechnology, University of Thessaly, Larisa, 41500, Greece
| | - Yves Van de Peer
- Department of Plant Systems Biology, VIB and Department of Plant Biotechnology and Bioinformatics, Ghent University, B-9052 Ghent, Belgium.,Bioinformatics Institute Ghent, Technologiepark 927, B-9052 Ghent, Belgium.,Department of Genetics, Genomics Research Institute, University of Pretoria, Pretoria 0028, South Africa
| | - Stephen G Oliver
- Cambridge Systems Biology Centre & Department of Biochemistry, University of Cambridge, Cambridge CB2 1GA, UK
| | - Grigoris D Amoutzias
- Bioinformatics Laboratory, Department of Biochemistry and Biotechnology, University of Thessaly, Larisa, 41500, Greece
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38
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Davis S, Charles PD, He L, Mowlds P, Kessler BM, Fischer R. Expanding Proteome Coverage with CHarge Ordered Parallel Ion aNalysis (CHOPIN) Combined with Broad Specificity Proteolysis. J Proteome Res 2017; 16:1288-1299. [PMID: 28164708 PMCID: PMC5363888 DOI: 10.1021/acs.jproteome.6b00915] [Citation(s) in RCA: 60] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
The "deep" proteome has been accessible by mass spectrometry for some time. However, the number of proteins identified in cells of the same type has plateaued at ∼8000-10 000 without ID transfer from reference proteomes/data. Moreover, limited sequence coverage hampers the discrimination of protein isoforms when using trypsin as standard protease. Multienzyme approaches appear to improve sequence coverage and subsequent isoform discrimination. Here we expanded proteome and protein sequence coverage in MCF-7 breast cancer cells to an as yet unmatched depth by employing a workflow that addresses current limitations in deep proteome analysis in multiple stages: We used (i) gel-aided sample preparation (GASP) and combined trypsin/elastase digests to increase peptide orthogonality, (ii) concatenated high-pH prefractionation, and (iii) CHarge Ordered Parallel Ion aNalysis (CHOPIN), available on an Orbitrap Fusion (Lumos) mass spectrometer, to achieve 57% median protein sequence coverage in 13 728 protein groups (8949 Unigene IDs) in a single cell line. CHOPIN allows the use of both detectors in the Orbitrap on predefined precursor types that optimizes parallel ion processing, leading to the identification of a total of 179 549 unique peptides covering the deep proteome in unprecedented detail.
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Affiliation(s)
- Simon Davis
- Target Discovery Institute, Nuffield Department of Medicine, University of Oxford , Roosevelt Drive, Oxford OX3 7FZ, United Kingdom
| | - Philip D Charles
- Target Discovery Institute, Nuffield Department of Medicine, University of Oxford , Roosevelt Drive, Oxford OX3 7FZ, United Kingdom
| | - Lin He
- Bioinformatics Solutions, Inc. , 470 Weber Street North Suite 204, Waterloo, Ontario N2L 6J2, Canada
| | - Peter Mowlds
- Thermo Fisher, Inc. , Stafford House, 1 Boundary Park, Hemel Hampstead HP2 7GE, United Kingdom
| | - Benedikt M Kessler
- Target Discovery Institute, Nuffield Department of Medicine, University of Oxford , Roosevelt Drive, Oxford OX3 7FZ, United Kingdom
| | - Roman Fischer
- Target Discovery Institute, Nuffield Department of Medicine, University of Oxford , Roosevelt Drive, Oxford OX3 7FZ, United Kingdom
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39
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Golghalyani V, Neupärtl M, Wittig I, Bahr U, Karas M. ArgC-Like Digestion: Complementary or Alternative to Tryptic Digestion? J Proteome Res 2017; 16:978-987. [DOI: 10.1021/acs.jproteome.6b00921] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Affiliation(s)
- Vahid Golghalyani
- Institute
of Pharmaceutical Chemistry, Goethe-University, Frankfurt am Main 60438, Germany
| | - Moritz Neupärtl
- Institute
of Pharmaceutical Chemistry, Goethe-University, Frankfurt am Main 60438, Germany
| | - Ilka Wittig
- Functional
Proteomics, Centre for Biochemistry, Medical School, Goethe-University, Frankfurt 60590, Germany
- Cluster
of Excellence “Macromolecular Complexes”, Goethe University, Frankfurt am Main 60438, Germany
- German
Center of Cardiovascular Research (DZHK), Partner site RheinMain, Frankfurt 60590, Germany
| | - Ute Bahr
- Institute
of Pharmaceutical Chemistry, Goethe-University, Frankfurt am Main 60438, Germany
| | - Michael Karas
- Institute
of Pharmaceutical Chemistry, Goethe-University, Frankfurt am Main 60438, Germany
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40
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41
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Kim MS, Zhong J, Pandey A. Common errors in mass spectrometry-based analysis of post-translational modifications. Proteomics 2016; 16:700-14. [PMID: 26667783 DOI: 10.1002/pmic.201500355] [Citation(s) in RCA: 92] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2015] [Revised: 11/05/2015] [Accepted: 12/08/2015] [Indexed: 12/29/2022]
Abstract
Mass spectrometry (MS) is a powerful tool to analyze complex mixtures of proteins in a high-throughput fashion. Proteome analysis has already become a routine task in biomedical research with the emergence of proteomics core facilities in most research institutions. Post-translational modifications (PTMs) represent a mechanism by which complex biological processes are orchestrated dynamically at the systems level. MS is rapidly becoming popular to discover new modifications and novel sites of known PTMs, revolutionizing the current understanding of diverse signaling pathways and biological processes. However, MS-based analysis of PTMs has its own caveats and pitfalls that can lead to erroneous conclusions. Here, we review the most common errors in MS-based PTM analyses with the goal of adopting strategies that maximize correct interpretation in the context of biological questions that are being addressed. Finally, we provide suggestions that should help mass spectrometrists, bioinformaticians and biologists to perform and interpret MS-based PTM analyses more accurately.
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Affiliation(s)
- Min-Sik Kim
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Jun Zhong
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Akhilesh Pandey
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.,Departments of Biological Chemistry, Pathology and Oncology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
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42
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Evolution of a mass spectrometry-grade protease with PTM-directed specificity. Proc Natl Acad Sci U S A 2016; 113:14686-14691. [PMID: 27940920 DOI: 10.1073/pnas.1609925113] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Mapping posttranslational modifications (PTMs), which diversely modulate biological functions, represents a significant analytical challenge. The centerpiece technology for PTM site identification, mass spectrometry (MS), requires proteolytic cleavage in the vicinity of a PTM to yield peptides for sequencing. This requirement catalyzed our efforts to evolve MS-grade mutant PTM-directed proteases. Citrulline, a PTM implicated in epigenetic and immunological function, made an ideal first target, because citrullination eliminates arginyl tryptic sites. Bead-displayed trypsin mutant genes were translated in droplets, the mutant proteases were challenged to cleave bead-bound fluorogenic probes of citrulline-dependent proteolysis, and the resultant beads (1.3 million) were screened. The most promising mutant efficiently catalyzed citrulline-dependent peptide bond cleavage (kcat/KM = 6.9 × 105 M-1⋅s-1). The resulting C-terminally citrullinated peptides generated characteristic isotopic patterns in MALDI-TOF MS, and both a fragmentation product y1 ion corresponding to citrulline (176.1030 m/z) and diagnostic peak pairs in the extracted ion chromatograms of LC-MS/MS analysis. Using these signatures, we identified citrullination sites in protein arginine deiminase 4 (12 sites) and in fibrinogen (25 sites, two previously unknown). The unique mass spectral features of PTM-dependent proteolytic digest products promise a generalized PTM site-mapping strategy based on a toolbox of such mutant proteases, which are now accessible by laboratory evolution.
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43
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Wang B, Shangguan L, Wang S, Zhang L, Zhang W, Liu F. Preparation and application of immobilized enzymatic reactors for consecutive digestion with two enzymes. J Chromatogr A 2016; 1477:22-29. [DOI: 10.1016/j.chroma.2016.11.027] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2016] [Revised: 11/14/2016] [Accepted: 11/18/2016] [Indexed: 11/26/2022]
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44
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Parr MK, Montacir O, Montacir H. Physicochemical characterization of biopharmaceuticals. J Pharm Biomed Anal 2016; 130:366-389. [DOI: 10.1016/j.jpba.2016.05.028] [Citation(s) in RCA: 49] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2016] [Revised: 05/16/2016] [Accepted: 05/17/2016] [Indexed: 12/26/2022]
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45
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Li S, Dabir A, Misal SA, Tang H, Radivojac P, Reilly JP. Impact of Amidination on Peptide Fragmentation and Identification in Shotgun Proteomics. J Proteome Res 2016; 15:3656-3665. [PMID: 27615690 DOI: 10.1021/acs.jproteome.6b00468] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
Peptide amidination labeling using S-methyl thioacetimidate (SMTA) is investigated in an attempt to increase the number and types of peptides that can be detected in a bottom-up proteomics experiment. This derivatization method affects the basicity of lysine residues and is shown here to significantly impact the idiosyncracies of peptide fragmentation and peptide detectability. The unique and highly reproducible fragmentation properties of SMTA-labeled peptides, such as the strong propensity for forming b1 fragment ions, can be further exploited to modify the scoring of peptide-spectrum pairs and improve peptide identification. To this end, we have developed a supervised postprocessing algorithm to exploit these characteristics of peptides labeled by SMTA. Our experiments show that although the overall number of identifications are similar, the SMTA modification enabled the detection of 16-26% peptides not previously observed in comparable CID/HCD tandem mass spectrometry experiments without SMTA labeling.
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Affiliation(s)
- Sujun Li
- School of Informatics and Computing, Indiana University , Bloomington, Indiana 47405, United States
| | - Aditi Dabir
- Department of Chemistry, Indiana University , Bloomington, Indiana 47405, United States
| | - Santosh A Misal
- Department of Chemistry, Indiana University , Bloomington, Indiana 47405, United States
| | - Haixu Tang
- School of Informatics and Computing, Indiana University , Bloomington, Indiana 47405, United States
| | - Predrag Radivojac
- School of Informatics and Computing, Indiana University , Bloomington, Indiana 47405, United States
| | - James P Reilly
- Department of Chemistry, Indiana University , Bloomington, Indiana 47405, United States
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Ruprecht B, Roesli C, Lemeer S, Kuster B. MALDI-TOF and nESI Orbitrap MS/MS identify orthogonal parts of the phosphoproteome. Proteomics 2016; 16:1447-56. [PMID: 26990019 DOI: 10.1002/pmic.201500523] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2015] [Revised: 03/02/2016] [Accepted: 03/11/2016] [Indexed: 01/01/2023]
Abstract
Phosphorylation is a reversible posttranslational protein modification which plays a pivotal role in intracellular signaling. Despite extensive efforts, phosphorylation site mapping of proteomes is still incomplete motivating the exploration of alternative methods that complement existing workflows. In this study, we compared tandem mass spectrometry (MS/MS) on matrix assisted laser desorption/ionization time-of-flight (MALDI-TOF) and nano-electrospray ionization (nESI) Orbitrap instruments with respect to their ability to identify phosphopeptides from complex proteome digests. Phosphopeptides were enriched from tryptic digests of cell lines using Fe-IMAC column chromatography and subjected to LC-MS/MS analysis. We found that the two analytical workflows exhibited considerable orthogonality. For instance, MALDI-TOF MS/MS favored the identification of phosphopeptides encompassing clear motif signatures for acidic residue directed kinases. The extent of orthogonality of the two LC-MS/MS systems was comparable to that of using alternative proteases such as Asp-N, Arg-C, chymotrypsin, Glu-C and Lys-C on just one LC-MS/MS instrument. Notably, MALDI-TOF MS/MS identified an unexpectedly high number and percentage of phosphotyrosine sites (∼20% of all sites), possibly as a direct consequence of more efficient ionization. The data clearly show that LC-MALDI MS/MS can be a useful complement to LC-nESI MS/MS for phosphoproteome mapping and particularly so for acidic and phosphotyrosine containing peptides.
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Affiliation(s)
- Benjamin Ruprecht
- Chair of Proteomics and Bioanalytics, Technische Universität München, Freising, Germany.,Center for Protein Science Munich (CIPSM), Freising, Germany
| | - Christoph Roesli
- HI-STEM - Heidelberg, Institute for Stem Cell Technology and Experimental Medicine gemeinnützige GmbH, Heidelberg, Germany.,German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Simone Lemeer
- Chair of Proteomics and Bioanalytics, Technische Universität München, Freising, Germany.,Center for Protein Science Munich (CIPSM), Freising, Germany
| | - Bernhard Kuster
- Chair of Proteomics and Bioanalytics, Technische Universität München, Freising, Germany.,Center for Protein Science Munich (CIPSM), Freising, Germany.,German Cancer Research Center (DKFZ), Heidelberg, Germany.,German Cancer Consortium (DKTK), Heidelberg, Germany.,Bavarian Biomolecular Mass Spectrometry Center, Technische Universität München, Freising, Germany
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47
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Wu F, Zhao M, Zhang Y, Su N, Xiong Z, Xu P. Recombinant acetylated trypsin demonstrates superior stability and higher activity than commercial products in quantitative proteomics studies. RAPID COMMUNICATIONS IN MASS SPECTROMETRY : RCM 2016; 30:1059-1066. [PMID: 27003043 DOI: 10.1002/rcm.7535] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/12/2015] [Revised: 01/31/2016] [Accepted: 02/09/2016] [Indexed: 06/05/2023]
Abstract
RATIONALE Trypsin is an important digestive enzyme in peptide sample preparation for proteomics. It digests proteins at the C-terminal of Arg or Lys residues. The majority of commercial products are obtained from animal sources. In a previous study, we reported the production process for recombinant trypsin (r-trypsin) and acetylated trypsin (r-Ac-trypsin). In this paper, we want to evaluate whether the r-trypsin and r-Ac-trypsin are suitable for proteomics research. METHODS The trypsins used in this research were first normalized to the same concentration and used for further evaluation. The stability and buffer compatibility (2M urea, 0.1% SDS and 10% acetonitrile) were compared and visualized by sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE). The digestion efficiency and specificity were compared based on a simple protein substrate, human serum albumin (HSA) and a complex proteomic sample, yeast lysate. The acquisition of proteomics data was achieved by ultra-high performance liquid chromatography (UPLC) connected to an LTQ Orbitrap Velos mass spectrometer. RESULTS r-Ac-trypsin demonstrated similar tolerance to 2 M urea and 10% acetonitrile but weaker 0.1% SDS tolerance than commercial trypsins. Based on simple protein sample HSA, the activity and specificity of r-Ac-trypsin were similar to that of commercial trypsins. However, it demonstrated superior activity and specificity on complicated samples like yeast lysate. More interestingly, the newly developed r-Ac-trypsin was more resistant to autolysis, which enabled more complete digestion of proteomic samples. CONCLUSIONS The r-Ac-trypsin described here is a recombinant product. In addition it showed similar or superior properties such as stability activity and specificity to commercial products. It can be used in peptide sample preparation in proteomics studies.
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Affiliation(s)
- Feilin Wu
- Life Science College, Southwest Forestry University, Kunming, 650224, P.R. China
- State Key Laboratory of Proteomics, National Engineering Research Center for Protein Drugs, Beijing Proteome Research Center, National Center for Protein Sciences Beijing, Beijing Institute of Radiation Medicine, Beijing, 102206, P.R. China
| | - Mingzhi Zhao
- State Key Laboratory of Proteomics, National Engineering Research Center for Protein Drugs, Beijing Proteome Research Center, National Center for Protein Sciences Beijing, Beijing Institute of Radiation Medicine, Beijing, 102206, P.R. China
| | - Yao Zhang
- State Key Laboratory of Proteomics, National Engineering Research Center for Protein Drugs, Beijing Proteome Research Center, National Center for Protein Sciences Beijing, Beijing Institute of Radiation Medicine, Beijing, 102206, P.R. China
- Institute of Microbiology, Chinese Academy of Science, Beijing, 100101, China
| | - Na Su
- State Key Laboratory of Proteomics, National Engineering Research Center for Protein Drugs, Beijing Proteome Research Center, National Center for Protein Sciences Beijing, Beijing Institute of Radiation Medicine, Beijing, 102206, P.R. China
| | - Zhi Xiong
- Life Science College, Southwest Forestry University, Kunming, 650224, P.R. China
| | - Ping Xu
- State Key Laboratory of Proteomics, National Engineering Research Center for Protein Drugs, Beijing Proteome Research Center, National Center for Protein Sciences Beijing, Beijing Institute of Radiation Medicine, Beijing, 102206, P.R. China
- Key Laboratory of Combinatorial Biosynthesis and Drug Discovery (Wuhan University), Ministry of Education, and Wuhan University School of Pharmaceutical Sciences, Wuhan, 430071, P.R. China
- Anhui Medical University, Hefei, 230032, Anhui, P.R. China
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48
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Abstract
Protein digestion using a dedicated protease represents a key element in a typical mass spectrometry (MS)-based shotgun proteomics experiment. Up to now, digestion has been predominantly performed with trypsin, mainly because of its high specificity, widespread availability and ease of use. Lately, it has become apparent that the sole use of trypsin in bottom-up proteomics may impose certain limits in our ability to grasp the full proteome, missing out particular sites of post-translational modifications, protein segments or even subsets of proteins. To overcome this problem, the proteomics community has begun to explore alternative proteases to complement trypsin. However, protocols, as well as expected results generated from these alternative proteases, have not been systematically documented. Therefore, here we provide an optimized protocol for six alternative proteases that have already shown promise in their applicability in proteomics, namely chymotrypsin, LysC, LysN, AspN, GluC and ArgC. This protocol is formulated to promote ease of use and robustness, which enable parallel digestion with each of the six tested proteases. We present data on protease availability and usage including recommendations for reagent preparation. We additionally describe the appropriate MS data analysis methods and the anticipated results in the case of the analysis of a single protein (BSA) and a more complex cellular lysate (Escherichia coli). The digestion protocol presented here is convenient and robust and can be completed in ∼2 d.
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49
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Hinneburg H, Stavenhagen K, Schweiger-Hufnagel U, Pengelley S, Jabs W, Seeberger PH, Silva DV, Wuhrer M, Kolarich D. The Art of Destruction: Optimizing Collision Energies in Quadrupole-Time of Flight (Q-TOF) Instruments for Glycopeptide-Based Glycoproteomics. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2016; 27:507-19. [PMID: 26729457 PMCID: PMC4756043 DOI: 10.1007/s13361-015-1308-6] [Citation(s) in RCA: 98] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/29/2015] [Revised: 11/06/2015] [Accepted: 11/09/2015] [Indexed: 05/12/2023]
Abstract
In-depth site-specific investigations of protein glycosylation are the basis for understanding the biological function of glycoproteins. Mass spectrometry-based N- and O-glycopeptide analyses enable determination of the glycosylation site, site occupancy, as well as glycan varieties present on a particular site. However, the depth of information is highly dependent on the applied analytical tools, including glycopeptide fragmentation regimes and automated data analysis. Here, we used a small set of synthetic disialylated, biantennary N-glycopeptides to systematically tune Q-TOF instrument parameters towards optimal energy stepping collision induced dissociation (CID) of glycopeptides. A linear dependency of m/z-ratio and optimal fragmentation energy was found, showing that with increasing m/z-ratio, more energy is required for glycopeptide fragmentation. Based on these optimized fragmentation parameters, a method combining lower- and higher-energy CID was developed, allowing the online acquisition of glycan and peptide-specific fragments within a single tandem MS experiment. We validated this method analyzing a set of human immunoglobulins (IgA1+2, sIgA, IgG1+2, IgE, IgD, IgM) as well as bovine fetuin. These optimized fragmentation parameters also enabled software-assisted glycopeptide assignment of both N- and O-glycopeptides including information about the most abundant glycan compositions, peptide sequence and putative structures. Twenty-six out of 30 N-glycopeptides and four out of five O-glycopeptides carrying >110 different glycoforms could be identified by this optimized LC-ESI tandem MS method with minimal user input. The Q-TOF based glycopeptide analysis platform presented here opens the way to a range of different applications in glycoproteomics research as well as biopharmaceutical development and quality control.
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Affiliation(s)
- Hannes Hinneburg
- Department of Biomolecular Systems, Max Planck Institute of Colloids and Interfaces, 14424, Potsdam, Germany
- Institute of Chemistry and Biochemistry, Freie Universität Berlin, Arnimallee 22, 14195, Berlin, Germany
| | - Kathrin Stavenhagen
- Division of BioAnalytical Chemistry, VU University Amsterdam, Amsterdam, The Netherlands
| | | | | | | | - Peter H Seeberger
- Department of Biomolecular Systems, Max Planck Institute of Colloids and Interfaces, 14424, Potsdam, Germany
- Institute of Chemistry and Biochemistry, Freie Universität Berlin, Arnimallee 22, 14195, Berlin, Germany
| | - Daniel Varón Silva
- Department of Biomolecular Systems, Max Planck Institute of Colloids and Interfaces, 14424, Potsdam, Germany
| | - Manfred Wuhrer
- Division of BioAnalytical Chemistry, VU University Amsterdam, Amsterdam, The Netherlands
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands
| | - Daniel Kolarich
- Department of Biomolecular Systems, Max Planck Institute of Colloids and Interfaces, 14424, Potsdam, Germany.
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50
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Sample Preparation for Mass Spectrometry-Based Proteomics; from Proteomes to Peptides. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2016; 919:43-62. [DOI: 10.1007/978-3-319-41448-5_3] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/03/2022]
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