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Bashyal A, Brodbelt JS. Uncommon posttranslational modifications in proteomics: ADP-ribosylation, tyrosine nitration, and tyrosine sulfation. MASS SPECTROMETRY REVIEWS 2024; 43:289-326. [PMID: 36165040 PMCID: PMC10040477 DOI: 10.1002/mas.21811] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Revised: 09/06/2022] [Accepted: 09/07/2022] [Indexed: 06/16/2023]
Abstract
Posttranslational modifications (PTMs) are covalent modifications of proteins that modulate the structure and functions of proteins and regulate biological processes. The development of various mass spectrometry-based proteomics workflows has facilitated the identification of hundreds of PTMs and aided the understanding of biological significance in a high throughput manner. Improvements in sample preparation and PTM enrichment techniques, instrumentation for liquid chromatography-tandem mass spectrometry (LC-MS/MS), and advanced data analysis tools enhance the specificity and sensitivity of PTM identification. Highly prevalent PTMs like phosphorylation, glycosylation, acetylation, ubiquitinylation, and methylation are extensively studied. However, the functions and impact of less abundant PTMs are not as well understood and underscore the need for analytical methods that aim to characterize these PTMs. This review focuses on the advancement and analytical challenges associated with the characterization of three less common but biologically relevant PTMs, specifically, adenosine diphosphate-ribosylation, tyrosine sulfation, and tyrosine nitration. The advantages and disadvantages of various enrichment, separation, and MS/MS techniques utilized to identify and localize these PTMs are described.
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Affiliation(s)
- Aarti Bashyal
- Department of Chemistry, The University of Texas at Austin, Austin, Texas, USA
| | - Jennifer S Brodbelt
- Department of Chemistry, The University of Texas at Austin, Austin, Texas, USA
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2
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Kasai T, Kuraoka S, Higashi H, Delanghe B, Aikawa M, Singh SA. A Combined Gas-Phase Separation Strategy for ADP-ribosylated Peptides. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2023; 34:2136-2145. [PMID: 37589412 PMCID: PMC10557377 DOI: 10.1021/jasms.3c00129] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/07/2023] [Revised: 06/13/2023] [Accepted: 06/21/2023] [Indexed: 08/18/2023]
Abstract
ADP-ribosylation (ADPr) is a post-translational modification that is best studied using mass spectrometry. Method developments that are permissive with low inputs or baseline levels of protein ribosylation represent the next frontier in the field. High-field asymmetric waveform ion mobility spectrometry (FAIMS) reduces peptide complexity in the gas phase, providing a means to achieve maximal ADPr peptide sequencing depth. We therefore investigated the extent to which FAIMS with or without traditional gas-phase fractionation-separation (GPS) can increase the number of ADPr peptides. We examined ADPr peptides enriched from mouse spleens. We gleaned additional insight by also reporting findings from the corresponding non-ADPr peptide contaminants and the peptide inputs for ADPr peptide enrichment. At increasingly higher negative compensation voltages, ADPr peptides were more stable, whereas the non-ADPr peptides were filtered out. A combination of 3 GPS survey scans, each with 8 compensation voltages, resulted in 790 high-confidence ADPr peptides, compared to 90 with GPS alone. A simplified acquisition strategy requiring only two injections corresponding to two MS1 scan ranges coupled to optimized compensation voltage settings provided 402 ADPr peptides corresponding to 234 ADPr proteins. We conclude that our combined GPS strategy is a valuable addition to any ADP-ribosylome workflow. The data are available via ProteomeXchange with identifier PXD040898.
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Affiliation(s)
- Taku Kasai
- Center
for Interdisciplinary Cardiovascular Sciences, Division of Cardiovascular
Medicine, Department of Medicine, Brigham
and Women’s Hospital, Harvard Medical School, Boston, Massachusetts 02115, United States
| | - Shiori Kuraoka
- Center
for Interdisciplinary Cardiovascular Sciences, Division of Cardiovascular
Medicine, Department of Medicine, Brigham
and Women’s Hospital, Harvard Medical School, Boston, Massachusetts 02115, United States
| | - Hideyuki Higashi
- Center
for Interdisciplinary Cardiovascular Sciences, Division of Cardiovascular
Medicine, Department of Medicine, Brigham
and Women’s Hospital, Harvard Medical School, Boston, Massachusetts 02115, United States
| | | | - Masanori Aikawa
- Center
for Interdisciplinary Cardiovascular Sciences, Division of Cardiovascular
Medicine, Department of Medicine, Brigham
and Women’s Hospital, Harvard Medical School, Boston, Massachusetts 02115, United States
- Center
for Excellence in Vascular Biology, Division of Cardiovascular Medicine,
Brigham and Women’s Hospital, Harvard
Medical School, Boston, Massachusetts 02115, United States
- Channing
Division of Network Medicine, Department of Medicine, Brigham and
Women’s Hospital, Harvard Medical
School, Boston, Massachusetts 02115, United States
| | - Sasha A. Singh
- Center
for Interdisciplinary Cardiovascular Sciences, Division of Cardiovascular
Medicine, Department of Medicine, Brigham
and Women’s Hospital, Harvard Medical School, Boston, Massachusetts 02115, United States
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Polasky DA, Geiszler DJ, Yu F, Li K, Teo GC, Nesvizhskii AI. MSFragger-Labile: A Flexible Method to Improve Labile PTM Analysis in Proteomics. Mol Cell Proteomics 2023; 22:100538. [PMID: 37004988 PMCID: PMC10182319 DOI: 10.1016/j.mcpro.2023.100538] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Revised: 03/24/2023] [Accepted: 03/28/2023] [Indexed: 04/03/2023] Open
Abstract
Posttranslational modifications of proteins play essential roles in defining and regulating the functions of the proteins they decorate, making identification of these modifications critical to understanding biology and disease. Methods for enriching and analyzing a wide variety of biological and chemical modifications of proteins have been developed using mass spectrometry-based proteomics, largely relying on traditional database search methods to identify the resulting mass spectra of modified peptides. These database search methods treat modifications as static attachments of a mass to particular position in the peptide sequence, but many modifications undergo fragmentation in tandem mass spectrometry experiments alongside, or instead of, the peptide backbone. While this fragmentation can confound traditional search methods, it also offers unique opportunities for improved searches that incorporate modification-specific fragment ions. Here, we present a new labile mode in the MSFragger search engine that provides the flexibility to tailor modification-centric searches to the fragmentation observed. We show that labile mode can dramatically improve spectrum identification rates of phosphopeptides, RNA-crosslinked peptides, and ADP-ribosylated peptides. Each of these modifications presents distinct fragmentation characteristics, showcasing the flexibility of MSFragger labile mode to improve search for a wide variety of biological and chemical modifications.
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Affiliation(s)
- Daniel A Polasky
- Department of Pathology, University of Michigan, Ann Arbor, Michigan, USA.
| | - Daniel J Geiszler
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, USA
| | - Fengchao Yu
- Department of Pathology, University of Michigan, Ann Arbor, Michigan, USA
| | - Kai Li
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, USA
| | - Guo Ci Teo
- Department of Pathology, University of Michigan, Ann Arbor, Michigan, USA
| | - Alexey I Nesvizhskii
- Department of Pathology, University of Michigan, Ann Arbor, Michigan, USA; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, USA.
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Singh SA, Kuraoka S, Pestana DVS, Nasir W, Delanghe B, Aikawa M. The RiboMaP Spectral Annotation Method Applied to Various ADP-Ribosylome Studies Including INF-γ-Stimulated Human Cells and Mouse Tissues. Front Cardiovasc Med 2022; 9:851351. [PMID: 35419443 PMCID: PMC8996112 DOI: 10.3389/fcvm.2022.851351] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2022] [Accepted: 03/02/2022] [Indexed: 11/13/2022] Open
Abstract
ADP-ribosylation is a post-translational modification that is catalyzed by the ADP-ribosyltransferase enzyme family. Major emphasis to date has been ADP-ribosylation's role in cancer; however, there is growing interest in its role in inflammation and cardiovascular disease. Despite a recent boom in ADP-ribosylation mass spectrometry-based proteomics, there are limited computational resources to evaluate the quality of reported ADP-ribosylated (ADPr) proteins. We recently developed a novel mass spectral annotation strategy (RiboMaP) that facilitates identification and reporting of ADPr peptides and proteins. This strategy can monitor the fragmentation properties of ADPr peptide-unique fragment ions, termed m-ions and p-ions, that in turn provide spectral quality scores for candidate ADP-ribosyl peptides. In this study, we leveraged the availability of publicly available ADP-ribosylome data, acquired on various mass spectrometers, to evaluate the broader applicability of RiboMaP. We observed that fragmentation spectra of ADPr peptides vary considerably across datasets; nonetheless, RiboMaP improves ADPr peptide spectral annotation across all studies. We then reanalyzed our own previously published in vitro ADP-ribosylome data to determine common responses to the pro-inflammatory cytokine, IFN-γ. We conclude that despite these recent advances in the field of ADPr proteomics, studies in the context of inflammation and cardiovascular disease still require further bench-to-informatics workflow development in order to capture ADPr signaling events related to inflammatory pathways.
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Affiliation(s)
- Sasha A. Singh
- Department of Medicine, Center for Interdisciplinary Cardiovascular Sciences, Brigham Women's Hospital and Harvard Medical School, Boston, MA, United States
| | - Shiori Kuraoka
- Department of Medicine, Center for Interdisciplinary Cardiovascular Sciences, Brigham Women's Hospital and Harvard Medical School, Boston, MA, United States
| | - Diego Vinicius Santinelli Pestana
- Department of Medicine, Center for Interdisciplinary Cardiovascular Sciences, Brigham Women's Hospital and Harvard Medical School, Boston, MA, United States
| | - Waqas Nasir
- Thermo Fisher Scientific (Bremen) GmbH, Bremen, Germany
| | | | - Masanori Aikawa
- Department of Medicine, Center for Interdisciplinary Cardiovascular Sciences, Brigham Women's Hospital and Harvard Medical School, Boston, MA, United States
- Division of Cardiovascular Medicine, Center for Excellence in Vascular Biology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States
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