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Kweon HK, Kong AT, Hersberger KE, Huang S, Nesvizhskii AI, Wang Y, Hakansson K, Andrews PC. Sulfoproteomics Workflow with Precursor Ion Accurate Mass Shift Analysis Reveals Novel Tyrosine Sulfoproteins in the Golgi. J Proteome Res 2024; 23:71-83. [PMID: 38112105 PMCID: PMC11218929 DOI: 10.1021/acs.jproteome.3c00323] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2023]
Abstract
Tyrosine sulfation in the Golgi of secreted and membrane proteins is an important post-translational modification (PTM). However, its labile nature has limited analysis by mass spectrometry (MS), a major reason why no sulfoproteome studies have been previously reported. Here, we show that a phosphoproteomics experimental workflow, which includes serial enrichment followed by high resolution, high mass accuracy MS, and tandem MS (MS/MS) analysis, enables sulfopeptide coenrichment and identification via accurate precursor ion mass shift open MSFragger database search. This approach, supported by manual validation, allows the confident identification of sulfotyrosine-containing peptides in the presence of high levels of phosphorylated peptides, thus enabling these two sterically and ionically similar isobaric PTMs to be distinguished and annotated in a single proteomic analysis. We applied this approach to isolated interphase and mitotic rat liver Golgi membranes and identified 67 tyrosine sulfopeptides, corresponding to 26 different proteins. This work discovered 23 new sulfoproteins with functions related to, for example, Ca2+-binding, glycan biosynthesis, and exocytosis. In addition, we report the first preliminary evidence for crosstalk between sulfation and phosphorylation in the Golgi, with implications for functional control.
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Affiliation(s)
- Hye Kyong Kweon
- Department of Chemistry, University of Michigan, Ann Arbor, Michigan 48109-1055, United States
- Department of Biological Chemistry, University of Michigan Medical School, Ann Arbor, Michigan 48109-0600, United States
| | - Andy T Kong
- Department of Pathology, University of Michigan, Ann Arbor, Michigan 48109-5602, United States
| | - Katherine E Hersberger
- Department of Chemistry, University of Michigan, Ann Arbor, Michigan 48109-1055, United States
| | - Shijiao Huang
- Department of Molecular, Cellular, and Developmental Biology, University of Michigan, Ann Arbor, Michigan 48109-1085, United States
| | - Alexey I Nesvizhskii
- Department of Pathology, University of Michigan, Ann Arbor, Michigan 48109-5602, United States
- Department of Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, Michigan 48109-2218, United States
| | - Yanzhuang Wang
- Department of Molecular, Cellular, and Developmental Biology, University of Michigan, Ann Arbor, Michigan 48109-1085, United States
| | - Kristina Hakansson
- Department of Chemistry, University of Michigan, Ann Arbor, Michigan 48109-1055, United States
| | - Philip C Andrews
- Department of Chemistry, University of Michigan, Ann Arbor, Michigan 48109-1055, United States
- Department of Biological Chemistry, University of Michigan Medical School, Ann Arbor, Michigan 48109-0600, United States
- Department of Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, Michigan 48109-2218, United States
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Daly L, Byrne DP, Perkins S, Brownridge PJ, McDonnell E, Jones AR, Eyers PA, Eyers CE. Custom Workflow for the Confident Identification of Sulfotyrosine-Containing Peptides and Their Discrimination from Phosphopeptides. J Proteome Res 2023; 22:3754-3772. [PMID: 37939282 PMCID: PMC10696596 DOI: 10.1021/acs.jproteome.3c00425] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Revised: 09/30/2023] [Accepted: 10/13/2023] [Indexed: 11/10/2023]
Abstract
Protein tyrosine sulfation (sY) is a post-translational modification (PTM) catalyzed by Golgi-resident tyrosyl protein sulfo transferases (TPSTs). Information on sY in humans is currently limited to ∼50 proteins, with only a handful having verified sites of sulfation. As such, the contribution of sulfation to the regulation of biological processes remains poorly defined. Mass spectrometry (MS)-based proteomics is the method of choice for PTM analysis but has yet to be applied for systematic investigation of the "sulfome", primarily due to issues associated with discrimination of sY-containing from phosphotyrosine (pY)-containing peptides. In this study, we developed an MS-based workflow for sY-peptide characterization, incorporating optimized Zr4+ immobilized metal-ion affinity chromatography (IMAC) and TiO2 enrichment strategies. Extensive characterization of a panel of sY- and pY-peptides using an array of fragmentation regimes (CID, HCD, EThcD, ETciD, UVPD) highlighted differences in the generation of site-determining product ions and allowed us to develop a strategy for differentiating sulfated peptides from nominally isobaric phosphopeptides based on low collision energy-induced neutral loss. Application of our "sulfomics" workflow to a HEK-293 cell extracellular secretome facilitated identification of 21 new sulfotyrosine-containing proteins, several of which we validate enzymatically, and reveals new interplay between enzymes relevant to both protein and glycan sulfation.
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Affiliation(s)
- Leonard
A. Daly
- Centre
for Proteome Research, Institute of Systems, Molecular & Integrative
Biology, University of Liverpool, Crown Street, Liverpool L69 7ZB, U.K.
- Department
of Biochemistry, Cell & Systems Biology, Institute of Systems,
Molecular & Integrative Biology, University
of Liverpool, Crown Street, Liverpool L69 7ZB, U.K.
| | - Dominic P. Byrne
- Department
of Biochemistry, Cell & Systems Biology, Institute of Systems,
Molecular & Integrative Biology, University
of Liverpool, Crown Street, Liverpool L69 7ZB, U.K.
| | - Simon Perkins
- Computational
Biology Facility, Institute of Systems, Molecular & Integrative
Biology, University of Liverpool, Crown Street, Liverpool L69 7ZB, U.K.
| | - Philip J. Brownridge
- Centre
for Proteome Research, Institute of Systems, Molecular & Integrative
Biology, University of Liverpool, Crown Street, Liverpool L69 7ZB, U.K.
| | - Euan McDonnell
- Department
of Biochemistry, Cell & Systems Biology, Institute of Systems,
Molecular & Integrative Biology, University
of Liverpool, Crown Street, Liverpool L69 7ZB, U.K.
- Computational
Biology Facility, Institute of Systems, Molecular & Integrative
Biology, University of Liverpool, Crown Street, Liverpool L69 7ZB, U.K.
| | - Andrew R. Jones
- Department
of Biochemistry, Cell & Systems Biology, Institute of Systems,
Molecular & Integrative Biology, University
of Liverpool, Crown Street, Liverpool L69 7ZB, U.K.
- Computational
Biology Facility, Institute of Systems, Molecular & Integrative
Biology, University of Liverpool, Crown Street, Liverpool L69 7ZB, U.K.
| | - Patrick A. Eyers
- Department
of Biochemistry, Cell & Systems Biology, Institute of Systems,
Molecular & Integrative Biology, University
of Liverpool, Crown Street, Liverpool L69 7ZB, U.K.
| | - Claire E. Eyers
- Centre
for Proteome Research, Institute of Systems, Molecular & Integrative
Biology, University of Liverpool, Crown Street, Liverpool L69 7ZB, U.K.
- Department
of Biochemistry, Cell & Systems Biology, Institute of Systems,
Molecular & Integrative Biology, University
of Liverpool, Crown Street, Liverpool L69 7ZB, U.K.
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