1
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Felčíková K, Hovan A, Polák M, Loginov DS, Holotová V, Díaz C, Kožár T, Lee O, Varhač R, Novák P, Bánó G, Sedlák E. Design of AsLOV2 domain as a carrier of light-induced dissociable FMN photosensitizer. Protein Sci 2024; 33:e4921. [PMID: 38501448 PMCID: PMC10949324 DOI: 10.1002/pro.4921] [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: 09/13/2023] [Revised: 01/09/2024] [Accepted: 01/25/2024] [Indexed: 03/20/2024]
Abstract
Flavin mononucleotide (FMN) is a highly efficient photosensitizer (PS) yielding singlet oxygen (1 O2 ). However, its 1 O2 production efficiency significantly decreases upon isoalloxazine ring encapsulation into the protein matrix in genetically encoded photosensitizers (GEPS). Reducing isoalloxazine ring interactions with surrounding amino acids by protein engineering may increase 1 O2 production efficiency GEPS, but at the same time weakened native FMN-protein interactions may cause undesirable FMN dissociation. Here, in contrast, we intentionally induce the FMN release by light-triggered sulfur oxidation of strategically placed cysteines (oxidation-prone amino acids) in the isoalloxazine-binding site due to significantly increased volume of the cysteinyl side residue(s). As a proof of concept, in three variants of the LOV2 domain of Avena sativa (AsLOV2), namely V416C, T418C, and V416C/T418C, the effective 1 O2 production strongly correlated with the efficiency of irradiation-induced FMN dissociation (wild type (WT) < V416C < T418C < V416C/T418C). This alternative approach enables us: (i) to overcome the low 1 O2 production efficiency of flavin-based GEPSs without affecting native isoalloxazine ring-protein interactions and (ii) to utilize AsLOV2, due to its inherent binding propensity to FMN, as a PS vehicle, which is released at a target by light irradiation.
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Affiliation(s)
- Kristína Felčíková
- Department of Biophysics, Faculty of ScienceP.J. Šafárik UniversityKošiceSlovakia
| | - Andrej Hovan
- Department of Biophysics, Faculty of ScienceP.J. Šafárik UniversityKošiceSlovakia
| | - Marek Polák
- Institute of Microbiology ‐ BioCeV, Academy of Sciences of the Czech RepublicPragueCzech Republic
- Department of Biochemistry, Faculty of ScienceCharles UniversityPragueCzech Republic
| | - Dmitry S. Loginov
- Institute of Microbiology ‐ BioCeV, Academy of Sciences of the Czech RepublicPragueCzech Republic
| | - Veronika Holotová
- Center for Interdisciplinary Biosciences, Technology and Innovation ParkP.J. Šafárik UniversityKošiceSlovakia
| | - Carlos Díaz
- Center for Interdisciplinary Biosciences, Technology and Innovation ParkP.J. Šafárik UniversityKošiceSlovakia
| | - Tibor Kožár
- Center for Interdisciplinary Biosciences, Technology and Innovation ParkP.J. Šafárik UniversityKošiceSlovakia
| | - One‐Sun Lee
- Center for Interdisciplinary Biosciences, Technology and Innovation ParkP.J. Šafárik UniversityKošiceSlovakia
| | - Rastislav Varhač
- Department of Biochemistry, Faculty of ScienceP.J. Šafárik UniversityKošiceSlovakia
| | - Petr Novák
- Institute of Microbiology ‐ BioCeV, Academy of Sciences of the Czech RepublicPragueCzech Republic
| | - Gregor Bánó
- Department of Biophysics, Faculty of ScienceP.J. Šafárik UniversityKošiceSlovakia
| | - Erik Sedlák
- Center for Interdisciplinary Biosciences, Technology and Innovation ParkP.J. Šafárik UniversityKošiceSlovakia
- Department of Biochemistry, Faculty of ScienceP.J. Šafárik UniversityKošiceSlovakia
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2
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Jain R, Dhillon NS, Kanchustambham VL, Lodowski DT, Farquhar ER, Kiselar J, Chance MR. Evaluating Mass Spectrometry-Based Hydroxyl Radical Protein Footprinting of a Benchtop Flash Oxidation System against a Synchrotron X-ray Beamline. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2024; 35:476-486. [PMID: 38335063 DOI: 10.1021/jasms.3c00368] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/12/2024]
Abstract
Hydroxyl radical protein footprinting (HRPF) using synchrotron X-ray radiation (XFP) and mass spectrometry is a well-validated structural biology method that provides critical insights into macromolecular structural dynamics, such as determining binding sites, measuring affinity, and mapping epitopes. Numerous alternative sources for generating the hydroxyl radicals (•OH) needed for HRPF, such as laser photolysis and plasma irradiation, complement synchrotron-based HRPF, and a recently developed commercially available instrument based on flash lamp photolysis, the FOX system, enables access to laboratory benchtop HRPF. Here, we evaluate performing HRPF experiments in-house with a benchtop FOX instrument compared to synchrotron-based X-ray footprinting at the NSLS-II XFP beamline. Using lactate oxidase (LOx) as a model system, we carried out •OH labeling experiments using both instruments, followed by nanoLC-MS/MS bottom-up peptide mass mapping. Experiments were performed under high glucose concentrations to mimic the highly scavenging conditions present in biological buffers and human clinical samples, where less •OH are available for reaction with the biomolecule(s) of interest. The performance of the FOX and XFP HRPF methods was compared, and we found that tuning the •OH dosage enabled optimal labeling coverage for both setups under physiologically relevant highly scavenging conditions. Our study demonstrates the complementarity of FOX and XFP labeling approaches, demonstrating that benchtop instruments such as the FOX photolysis system can increase both the throughput and the accessibility of the HRPF technique.
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Affiliation(s)
- Rohit Jain
- Center for Synchrotron Biosciences, School of Medicine, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, Ohio 44106, United States
- Center for Proteomics and Bioinformatics, School of Medicine, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, Ohio 44106, United States
- Department of Nutrition, School of Medicine, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, Ohio 44106, United States
| | - Nanak S Dhillon
- Center for Proteomics and Bioinformatics, School of Medicine, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, Ohio 44106, United States
- Department of Nutrition, School of Medicine, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, Ohio 44106, United States
| | - Vijaya Lakshmi Kanchustambham
- Center for Synchrotron Biosciences, School of Medicine, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, Ohio 44106, United States
- Department of Nutrition, School of Medicine, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, Ohio 44106, United States
| | - David T Lodowski
- Center for Proteomics and Bioinformatics, School of Medicine, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, Ohio 44106, United States
- Department of Nutrition, School of Medicine, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, Ohio 44106, United States
| | - Erik R Farquhar
- Center for Synchrotron Biosciences, School of Medicine, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, Ohio 44106, United States
- Department of Nutrition, School of Medicine, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, Ohio 44106, United States
| | - Janna Kiselar
- Center for Proteomics and Bioinformatics, School of Medicine, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, Ohio 44106, United States
- Department of Nutrition, School of Medicine, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, Ohio 44106, United States
| | - Mark R Chance
- Center for Synchrotron Biosciences, School of Medicine, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, Ohio 44106, United States
- Center for Proteomics and Bioinformatics, School of Medicine, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, Ohio 44106, United States
- Department of Nutrition, School of Medicine, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, Ohio 44106, United States
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3
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Zakopcanik M, Kavan D, Novak P, Loginov DS. Quantifying the Impact of the Peptide Identification Framework on the Results of Fast Photochemical Oxidation of Protein Analysis. J Proteome Res 2024; 23:609-617. [PMID: 38158558 PMCID: PMC10845142 DOI: 10.1021/acs.jproteome.3c00390] [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: 06/30/2023] [Revised: 10/17/2023] [Accepted: 12/06/2023] [Indexed: 01/03/2024]
Abstract
Fast Photochemical Oxidation of Proteins (FPOP) is a promising technique for studying protein structure and dynamics. The quality of insight provided by FPOP depends on the reliability of the determination of the modification site. This study investigates the performance of two search engines, Mascot and PEAKS, for the data processing of FPOP analyses. Comparison of Mascot and PEAKS of the hemoglobin--haptoglobin Bruker timsTOF data set (PXD021621) revealed greater consistency in the Mascot identification of modified peptides, with around 26% of the IDs being mutual for all three replicates, compared to approximately 22% for PEAKS. The intersection between Mascot and PEAKS results revealed a limited number (31%) of shared modified peptides. Principal Component Analysis (PCA) using the peptide-spectrum match (PSM) score, site probability, and peptide intensity was applied to evaluate the results, and the analyses revealed distinct clusters of modified peptides. Mascot showed the ability to assess confident site determination, even with lower PSM scores. However, high PSM scores from PEAKS did not guarantee a reliable determination of the modification site. Fragmentation coverage of the modification position played a crucial role in Mascot assignments, while the AScore localizations from PEAKS often become ambiguous because the software employs MS/MS merging.
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Affiliation(s)
- Marek Zakopcanik
- Institute
of Microbiology, The Czech Academy of Sciences, 14220 Prague, Czech Republic
- Department
of Biochemistry, Faculty of Science, Charles
University, 12820 Prague, Czech Republic
| | - Daniel Kavan
- Institute
of Microbiology, The Czech Academy of Sciences, 14220 Prague, Czech Republic
| | - Petr Novak
- Institute
of Microbiology, The Czech Academy of Sciences, 14220 Prague, Czech Republic
| | - Dmitry S. Loginov
- Institute
of Microbiology, The Czech Academy of Sciences, 14220 Prague, Czech Republic
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4
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Polák M, Černý J, Novák P. Isotopic Depletion Increases the Spatial Resolution of FPOP Top-Down Mass Spectrometry Analysis. Anal Chem 2024; 96:1478-1487. [PMID: 38226459 PMCID: PMC10831798 DOI: 10.1021/acs.analchem.3c03759] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Revised: 11/08/2023] [Accepted: 12/15/2023] [Indexed: 01/17/2024]
Abstract
Protein radical labeling, like fast photochemical oxidation of proteins (FPOP), coupled to a top-down mass spectrometry (MS) analysis offers an alternative analytical method for probing protein structure or protein interaction with other biomolecules, for instance, proteins and DNA. However, with the increasing mass of studied analytes, the MS/MS spectra become complex and exhibit a low signal-to-noise ratio. Nevertheless, these difficulties may be overcome by protein isotope depletion. Thus, we aimed to use protein isotope depletion to analyze FPOP-oxidized samples by top-down MS analysis. For this purpose, we prepared isotopically natural (IN) and depleted (ID) forms of the FOXO4 DNA binding domain (FOXO4-DBD) and studied the protein-DNA interaction interface with double-stranded DNA, the insulin response element (IRE), after exposing the complex to hydroxyl radicals. As shown by comparing tandem mass spectra of natural and depleted proteins, the ID form increased the signal-to-noise ratio of useful fragment ions, thereby enhancing the sequence coverage by more than 19%. This improvement in the detection of fragment ions enabled us to detect 22 more oxidized residues in the ID samples than in the IN sample. Moreover, less common modifications were detected in the ID sample, including the formation of ketones and lysine carbonylation. Given the higher quality of ID top-down MSMS data set, these results provide more detailed information on the complex formation between transcription factors and DNA-response elements. Therefore, our study highlights the benefits of isotopic depletion for quantitative top-down proteomics. Data are available via ProteomeXchange with the identifier PXD044447.
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Affiliation(s)
- Marek Polák
- Institute
of Microbiology of the Czech Academy of Sciences, 14220 Prague, Czech Republic
- Department
of Biochemistry, Faculty of Science, Charles
University, 12843 Prague, Czech Republic
| | - Jiří Černý
- Laboratory
of Structural Bioinformatics of Proteins, Institute of Biotechnology of the Czech Academy of Sciences, 14220 Prague, Czech Republic
| | - Petr Novák
- Institute
of Microbiology of the Czech Academy of Sciences, 14220 Prague, Czech Republic
- Department
of Biochemistry, Faculty of Science, Charles
University, 12843 Prague, Czech Republic
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5
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Polák M, Palasser M, Kádek A, Kavan D, Wootton CA, Delsuc MA, Breuker K, Novák P, van Agthoven MA. Top-Down Proteoform Analysis by 2D MS with Quadrupolar Detection. Anal Chem 2023; 95:16123-16130. [PMID: 37877738 PMCID: PMC10633810 DOI: 10.1021/acs.analchem.3c02225] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Revised: 09/26/2023] [Accepted: 10/04/2023] [Indexed: 10/26/2023]
Abstract
Two-dimensional mass spectrometry (2D MS) is a multiplexed tandem mass spectrometry method that does not rely on ion isolation to correlate the precursor and fragment ions. On a Fourier transform ion cyclotron resonance mass spectrometer (FT-ICR MS), 2D MS instead uses the modulation of precursor ion radii inside the ICR cell before fragmentation and yields 2D mass spectra that show the fragmentation patterns of all the analytes. In this study, we perform 2D MS for the first time with quadrupolar detection in a dynamically harmonized ICR cell. We discuss the advantages of quadrupolar detection in 2D MS and how we adapted existing data processing techniques for accurate frequency-to-mass conversion. We apply 2D MS with quadrupolar detection to the top-down analysis of covalently labeled ubiquitin with ECD fragmentation, and we develop a workflow for label-free relative quantification of biomolecule isoforms in 2D MS.
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Affiliation(s)
- Marek Polák
- Institute
of Microbiology of the Czech Academy of Sciences, Prague 14220, Czech Republic
- Faculty
of Science, Charles University, Prague 12843, Czech Republic
| | - Michael Palasser
- Center
for Chemistry and Biomedicine, University
of Innsbruck, Innrain 80/82, 6020 Innsbruck, Austria
| | - Alan Kádek
- Institute
of Microbiology of the Czech Academy of Sciences, Prague 14220, Czech Republic
| | - Daniel Kavan
- Institute
of Microbiology of the Czech Academy of Sciences, Prague 14220, Czech Republic
- Faculty
of Science, Charles University, Prague 12843, Czech Republic
| | | | - Marc-André Delsuc
- Institut
de Génétique et de Biologie Moléculaire et Cellulaire,
INSERM, U596, CNRS, UMR7104, Université de Strasbourg, 1 rue Laurent Fries, 67404 Illkirch-Graffenstaden, France
| | - Kathrin Breuker
- Center
for Chemistry and Biomedicine, University
of Innsbruck, Innrain 80/82, 6020 Innsbruck, Austria
| | - Petr Novák
- Institute
of Microbiology of the Czech Academy of Sciences, Prague 14220, Czech Republic
- Faculty
of Science, Charles University, Prague 12843, Czech Republic
| | - Maria A. van Agthoven
- Institute
of Microbiology of the Czech Academy of Sciences, Prague 14220, Czech Republic
- Center
for Chemistry and Biomedicine, University
of Innsbruck, Innrain 80/82, 6020 Innsbruck, Austria
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Jiang R, Rempel DL, Gross ML. MALDI Peptide Mapping for Fast Analysis in Protein Footprinting. INTERNATIONAL JOURNAL OF MASS SPECTROMETRY 2023; 490:117080. [PMID: 38465269 PMCID: PMC10923600 DOI: 10.1016/j.ijms.2023.117080] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/12/2024]
Abstract
Although protein footprinting results are commonly obtained by ESI-based LC-MS/MS, a more rapid-turnaround alternative approach is desirable to expand the scope of protein footprinting and facilitate routine analysis such as monitoring protein high order structure in quality control or checking epitope maps. Considering that MALDI is a faster procedure that can be easily adapted for high-throughput analysis, we explore here the feasibility of developing a MALDI-based analysis "portfolio" of bottom-up peptide mass mapping for footprinting. The approach was applied to several model proteins that were submitted to two footprinting strategies, FPOP and GEE labeling, and their performance was evaluated. We found adequate coverage that can be improved with automatic off-line separation and spotting, demonstrating the capability to footprint accurately protein conformational change, showing that MALDI may be useful for selected applications in protein footprinting.
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Affiliation(s)
- Ruidong Jiang
- Department of Chemistry, Washington University in St. Louis, St. Louis, MO 63130, USA
| | - Don L Rempel
- Department of Chemistry, Washington University in St. Louis, St. Louis, MO 63130, USA
| | - Michael L Gross
- Department of Chemistry, Washington University in St. Louis, St. Louis, MO 63130, USA
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Liang Z, Prentice BM. Quantification of pharmaceutical compounds in tissue and plasma samples using selective ion accumulation with multiple mass isolation windows. JOURNAL OF MASS SPECTROMETRY : JMS 2023; 58:e4958. [PMID: 37431164 PMCID: PMC11193884 DOI: 10.1002/jms.4958] [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: 02/17/2023] [Revised: 05/13/2023] [Accepted: 06/09/2023] [Indexed: 07/12/2023]
Abstract
Quantification of pharmaceutical compounds using matrix-assisted laser desorption/ionization (MALDI) mass spectrometry (MS) is an alternative to traditional liquid chromatography (LC)-MS techniques. Benefits of MALDI-based approaches include rapid analysis times for liquid samples and imaging mass spectrometry capabilities for tissue samples. As in most quantification experiments, the use of internal standards can compensate for spot-to-spot and shot-to-shot variability associated with MALDI sampling. However, the lack of chromatographic separation in traditional MALDI analyses results in diminished peak capacity due to the chemical noise background, which can be detrimental to the dynamic range and limit of detection of these approaches. These issues can be mitigated by using a hybrid mass spectrometer equipped with a quadrupole mass filter (QMF) that can be used to fractionate ions based on their mass-to-charge ratios. When the masses of the analytes and internal standards are sufficiently disparate in mass, it can be beneficial to effect multiple narrow mass isolation windows using the QMF, as opposed to a single wide mass isolation window, to minimize chemical noise while allowing for internal standard normalization. Herein, we demonstrate a MALDI MS quantification workflow incorporating multiple sequential mass isolation windows enabled on a QMF, which divides the total number of MALDI laser shots into multiple segments (i.e., one segment for each mass isolation window). This approach is illustrated through the quantitative analysis of the pharmaceutical compound enalapril in human plasma samples as well as the simultaneous quantification of three pharmaceutical compounds (enalapril, ramipril, and verapamil). Results show a decrease in the limit of detection, relative standard deviations below 10%, and accuracy above 85% for drug quantification using multiple mass isolation windows. This approach has also been applied to the quantification of enalapril in brain tissue from a rat dosed in vitro. The average concentration of enalapril determined by imaging mass spectrometry is in agreement with the concentration determined by LC-MS, giving an accuracy of 104%.
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Affiliation(s)
- Zhongling Liang
- Department of Chemistry, University of Florida, Gainesville, FL 32611
| | - Boone M. Prentice
- Department of Chemistry, University of Florida, Gainesville, FL 32611
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Seeing the complete picture: proteins in top-down mass spectrometry. Essays Biochem 2022; 67:283-300. [PMID: 36468679 DOI: 10.1042/ebc20220098] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2022] [Revised: 11/11/2022] [Accepted: 11/14/2022] [Indexed: 12/12/2022]
Abstract
Abstract
Top-down protein mass spectrometry can provide unique insights into protein sequence and structure, including precise proteoform identification and study of protein–ligand and protein–protein interactions. In contrast with the commonly applied bottom-up approach, top-down approaches do not include digestion of the protein of interest into small peptides, but instead rely on the ionization and subsequent fragmentation of intact proteins. As such, it is fundamentally the only way to fully characterize the composition of a proteoform. Here, we provide an overview of how a top-down protein mass spectrometry experiment is performed and point out recent applications from the literature to the reader. While some parts of the top-down workflow are broadly applicable, different research questions are best addressed with specific experimental designs. The most important divide is between studies that prioritize sequence information (i.e., proteoform identification) versus structural information (e.g., conformational studies, or mapping protein–protein or protein–ligand interactions). Another important consideration is whether to work under native or denaturing solution conditions, and the overall complexity of the sample also needs to be taken into account, as it determines whether (chromatographic) separation is required prior to MS analysis. In this review, we aim to provide enough information to support both newcomers and more experienced readers in the decision process of how to answer a potential research question most efficiently and to provide an overview of the methods that exist to answer these questions.
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