1
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Zhang S, Le Blanc JCY, Larsen B, Colwill K, Burton L, Guna M, Gingras AC, Tate S. High-resolution quadrupole improves spectral purity and reduces interference from non-target ions in isobaric multiplexed quantitative proteomics. Anal Chim Acta 2024; 1325:343135. [PMID: 39244297 DOI: 10.1016/j.aca.2024.343135] [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] [Received: 05/30/2024] [Accepted: 08/19/2024] [Indexed: 09/09/2024]
Abstract
BACKGROUND Mass spectrometry (MS)-based proteomics is a powerful tool for identifying and quantifying proteins. However, chimeric spectra caused by the fragmentation of multiple precursors within the same isolation window impair the accuracy of peptide identification and isobaric mass tag-based quantification. While there have been advances in computational deconvolution of chimeric spectra and methods to further separate the peptides by ion mobility or through MSn, the use of narrower isolation windows to decrease the fraction of chimeric species remains to be fully explored. RESULTS We present results obtained on a SCIEX TripleTOF instrument where the quadrupole was optimized and tuned for precursor isolation at 0.1 Da (FWHH). Using a three-proteome model (trypsin digest of protein lysates from yeast, human and E. coli) and 8-plex iTRAQ labeling to document the interference effect, we investigated the impact of co-fragmentation on spectral purity, identification accuracy and quantification accuracy. The narrow quadrupole isolation window significantly improved the spectral purity and reduced the interference of non-target precursors on quantification accuracy. The high-resolution isolation strategy also reduced the number of false identifications caused by chimeric spectra. While these improvements came at the cost of sensitivity loss, combining high-resolution isolation with other advanced techniques, including ion mobility, may result in improved accuracy in identification and quantification. SIGNIFICANCE Compared to standard-resolution quadrupole isolation (0.7 Da), high-resolution quadrupole isolation (0.1 Da) significantly improved the spectral purity and quantification accuracy while reducing the number of potential false identifications caused by chimeric spectra, thus showing excellent potential for further development to analyze clinical proteomics samples, for which high accuracy is essential.
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Affiliation(s)
- Shen Zhang
- SCIEX, Vaughan, Ontario, L4K 4V8, Canada; Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Sinai Health, Toronto, Ontario, M5G 1X5, Canada; NHC Key Laboratory of Human Stem Cell and Reproductive Engineering, School of Basic Medical Sciences, Central South University, Changsha, Hunan, 410075, China; Clinical Research Center for Reproduction and Genetics in Hunan Province, Reproductive and Genetic Hospital of CITIC-XIANGYA, Changsha, Hunan, 410000, China.
| | | | - Brett Larsen
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Sinai Health, Toronto, Ontario, M5G 1X5, Canada
| | - Karen Colwill
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Sinai Health, Toronto, Ontario, M5G 1X5, Canada
| | | | | | - Anne-Claude Gingras
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Sinai Health, Toronto, Ontario, M5G 1X5, Canada; Department of Molecular Genetics, University of Toronto, Toronto, Ontario, M5G 1X8, Canada.
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2
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Wang Z, Liu PK, Li L. A Tutorial Review of Labeling Methods in Mass Spectrometry-Based Quantitative Proteomics. ACS MEASUREMENT SCIENCE AU 2024; 4:315-337. [PMID: 39184361 PMCID: PMC11342459 DOI: 10.1021/acsmeasuresciau.4c00007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/13/2024] [Revised: 04/01/2024] [Accepted: 04/03/2024] [Indexed: 08/27/2024]
Abstract
Recent advancements in mass spectrometry (MS) have revolutionized quantitative proteomics, with multiplex isotope labeling emerging as a key strategy for enhancing accuracy, precision, and throughput. This tutorial review offers a comprehensive overview of multiplex isotope labeling techniques, including precursor-based, mass defect-based, reporter ion-based, and hybrid labeling methods. It details their fundamental principles, advantages, and inherent limitations along with strategies to mitigate the limitation of ratio-distortion. This review will also cover the applications and latest progress in these labeling techniques across various domains, including cancer biomarker discovery, neuroproteomics, post-translational modification analysis, cross-linking MS, and single-cell proteomics. This Review aims to provide guidance for researchers on selecting appropriate methods for their specific goals while also highlighting the potential future directions in this rapidly evolving field.
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Affiliation(s)
- Zicong Wang
- School
of Pharmacy, University of Wisconsin—Madison, Madison, Wisconsin 53705, United States
| | - Peng-Kai Liu
- Biophysics
Graduate program, University of Wisconsin—Madison, Madison, Wisconsin 53705, United States
| | - Lingjun Li
- School
of Pharmacy, University of Wisconsin—Madison, Madison, Wisconsin 53705, United States
- Biophysics
Graduate program, University of Wisconsin—Madison, Madison, Wisconsin 53705, United States
- Department
of Chemistry, University of Wisconsin—Madison, Madison, Wisconsin 53706, United States
- Lachman
Institute for Pharmaceutical Development, School of Pharmacy, University of Wisconsin—Madison, Madison, Wisconsin 53705, United States
- Wisconsin
Center for NanoBioSystems, School of Pharmacy, University of Wisconsin—Madison, Madison, Wisconsin 53705, United States
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3
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Langella O, Renne T, Balliau T, Davanture M, Brehmer S, Zivy M, Blein-Nicolas M, Rusconi F. Full Native timsTOF PASEF-Enabled Quantitative Proteomics with the i2MassChroQ Software Package. J Proteome Res 2024; 23:3353-3366. [PMID: 39016325 DOI: 10.1021/acs.jproteome.3c00732] [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: 07/18/2024]
Abstract
Ion mobility mass spectrometry has become popular in proteomics lately, in particular because the Bruker timsTOF instruments have found significant adoption in proteomics facilities. The Bruker's implementation of the ion mobility dimension generates massive amounts of mass spectrometric data that require carefully designed software both to extract meaningful information and to perform processing tasks at reasonable speed. In a historical move, the Bruker company decided to harness the skills of the scientific software development community by releasing to the public the timsTOF data file format specification. As a proteomics facility that has been developing Free Open Source Software (FOSS) solutions since decades, we took advantage of this opportunity to implement the very first FOSS proteomics complete solution to natively read the timsTOF data, low-level process them, and explore them in an integrated quantitative proteomics software environment. We dubbed our software i2MassChroQ because it implements a (peptide)identification-(protein)inference-mass-chromatogram-quantification processing workflow. The software benchmarking results reported in this paper show that i2MassChroQ performed better than competing software on two critical characteristics: (1) feature extraction capability and (2) protein quantitative dynamic range. Altogether, i2MassChroQ yielded better quantified protein numbers, both in a technical replicate MS runs setting and in a differential protein abundance analysis setting.
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Affiliation(s)
- Olivier Langella
- GQE-Le Moulon, Université Paris-Saclay, INRAE, CNRS, AgroParisTech, IDEEV, 12, Route 128, Gif-sur-Yvette F-91272, France
| | - Thomas Renne
- GQE-Le Moulon, Université Paris-Saclay, INRAE, CNRS, AgroParisTech, IDEEV, 12, Route 128, Gif-sur-Yvette F-91272, France
| | - Thierry Balliau
- GQE-Le Moulon, Université Paris-Saclay, INRAE, CNRS, AgroParisTech, IDEEV, 12, Route 128, Gif-sur-Yvette F-91272, France
| | - Marlène Davanture
- GQE-Le Moulon, Université Paris-Saclay, INRAE, CNRS, AgroParisTech, IDEEV, 12, Route 128, Gif-sur-Yvette F-91272, France
| | - Sven Brehmer
- Bruker Software Development, Bruker Daltonics GmbH & Co. KG, Bremen D-28359, Germany
| | - Michel Zivy
- GQE-Le Moulon, Université Paris-Saclay, INRAE, CNRS, AgroParisTech, IDEEV, 12, Route 128, Gif-sur-Yvette F-91272, France
| | - Mélisande Blein-Nicolas
- GQE-Le Moulon, Université Paris-Saclay, INRAE, CNRS, AgroParisTech, IDEEV, 12, Route 128, Gif-sur-Yvette F-91272, France
| | - Filippo Rusconi
- GQE-Le Moulon, Université Paris-Saclay, INRAE, CNRS, AgroParisTech, IDEEV, 12, Route 128, Gif-sur-Yvette F-91272, France
- INSERM, UMR-S 1138, Centre de Recherche des Cordeliers, Paris F-75005, France
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4
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Alves G, Ogurtsov AY, Porterfield H, Maity T, Jenkins LM, Sacks DB, Yu YK. Multiplexing the Identification of Microorganisms via Tandem Mass Tag Labeling Augmented by Interference Removal through a Novel Modification of the Expectation Maximization Algorithm. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2024; 35:1138-1155. [PMID: 38740383 PMCID: PMC11157548 DOI: 10.1021/jasms.3c00445] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Revised: 04/12/2024] [Accepted: 04/17/2024] [Indexed: 05/16/2024]
Abstract
Having fast, accurate, and broad spectrum methods for the identification of microorganisms is of paramount importance to public health, research, and safety. Bottom-up mass spectrometer-based proteomics has emerged as an effective tool for the accurate identification of microorganisms from microbial isolates. However, one major hurdle that limits the deployment of this tool for routine clinical diagnosis, and other areas of research such as culturomics, is the instrument time required for the mass spectrometer to analyze a single sample, which can take ∼1 h per sample, when using mass spectrometers that are presently used in most institutes. To address this issue, in this study, we employed, for the first time, tandem mass tags (TMTs) in multiplex identifications of microorganisms from multiple TMT-labeled samples in one MS/MS experiment. A difficulty encountered when using TMT labeling is the presence of interference in the measured intensities of TMT reporter ions. To correct for interference, we employed in the proposed method a modified version of the expectation maximization (EM) algorithm that redistributes the signal from ion interference back to the correct TMT-labeled samples. We have evaluated the sensitivity and specificity of the proposed method using 94 MS/MS experiments (covering a broad range of protein concentration ratios across TMT-labeled channels and experimental parameters), containing a total of 1931 true positive TMT-labeled channels and 317 true negative TMT-labeled channels. The results of the evaluation show that the proposed method has an identification sensitivity of 93-97% and a specificity of 100% at the species level. Furthermore, as a proof of concept, using an in-house-generated data set composed of some of the most common urinary tract pathogens, we demonstrated that by using the proposed method the mass spectrometer time required per sample, using a 1 h LC-MS/MS run, can be reduced to 10 and 6 min when samples are labeled with TMT-6 and TMT-10, respectively. The proposed method can also be used along with Orbitrap mass spectrometers that have faster MS/MS acquisition rates, like the recently released Orbitrap Astral mass spectrometer, to further reduce the mass spectrometer time required per sample.
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Affiliation(s)
- Gelio Alves
- National
Center for Biotechnology Information, National Library of Medicine,
National Institutes of Health, Bethesda, Maryland 20894, United States
| | - Aleksey Y. Ogurtsov
- National
Center for Biotechnology Information, National Library of Medicine,
National Institutes of Health, Bethesda, Maryland 20894, United States
| | - Harry Porterfield
- Department
of Laboratory Medicine, Clinical Center, National Institutes of Health, Bethesda, Maryland 20892, United States
| | - Tapan Maity
- Laboratory
of Cell Biology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892, United States
| | - Lisa M. Jenkins
- Laboratory
of Cell Biology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892, United States
| | - David B. Sacks
- Department
of Laboratory Medicine, Clinical Center, National Institutes of Health, Bethesda, Maryland 20892, United States
| | - Yi-Kuo Yu
- National
Center for Biotechnology Information, National Library of Medicine,
National Institutes of Health, Bethesda, Maryland 20894, United States
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5
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Peters-Clarke TM, Coon JJ, Riley NM. Instrumentation at the Leading Edge of Proteomics. Anal Chem 2024; 96:7976-8010. [PMID: 38738990 DOI: 10.1021/acs.analchem.3c04497] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/14/2024]
Affiliation(s)
- Trenton M Peters-Clarke
- Department of Chemistry, University of Wisconsin─Madison, Madison, Wisconsin 53706, United States
- Department of Biomolecular Chemistry, University of Wisconsin─Madison, Madison, Wisconsin 53706, United States
| | - Joshua J Coon
- Department of Chemistry, University of Wisconsin─Madison, Madison, Wisconsin 53706, United States
- Department of Biomolecular Chemistry, University of Wisconsin─Madison, Madison, Wisconsin 53706, United States
- Morgridge Institute for Research, Madison, Wisconsin 53715, United States
| | - Nicholas M Riley
- Department of Chemistry, University of Washington, Seattle, Washington 98195, United States
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6
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Bautista-Valle MV, Camacho-Vazquez C, Elizalde-Contreras JM, Monribot-Villanueva JL, Limón AMV, Bojórquez-Velázquez E, Zamora-Briseño JA, Jorrin-Novo JV, Ruiz-May E. Comparing and integrating TMT-SPS-MS3 and label-free quantitative approaches for proteomics scrutiny in recalcitrant Mango (Mangifera indica L.) peel tissue during postharvest period. Proteomics 2024; 24:e2300239. [PMID: 37681534 DOI: 10.1002/pmic.202300239] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Revised: 08/14/2023] [Accepted: 08/18/2023] [Indexed: 09/09/2023]
Abstract
Despite substantial advances in the use of proteomic technologies, their widespread application in fruit tissues of non-model and recalcitrant species remains limited. This hampers the understanding of critical molecular events during the postharvest period of fleshy tropical fruits. Therefore, we evaluated label-free quantitation (LFQ) and TMT-SPS-MS3 (TMT) approaches to analyse changes in the protein profile of mango peels during postharvest period. We compared two extraction methods (phenol and chloroform/methanol) and two peptide fractionation schemes (SCX and HPRP). We accurately identified 3065 proteins, of which, 1492 were differentially accumulated over at 6 days after harvesting (DAH). Both LFQ and TMT approaches share 210 differential proteins including cell wall proteins associated with fruit softening, as well as aroma and flavour-related proteins, which were increased during postharvest period. The phenolic protein extraction and the high-pH reverse-phase peptide fractionation was the most effective pipeline for relative quantification. Nevertheless, the information provided by the other tested strategies was significantly complementary. Besides, LFQ spectra allowed us to track down intact N-glycopeptides corroborating N-glycosylations on the surface of a desiccation-related protein. This work represents the largest proteomic comparison of mango peels during postharvest period made so far, shedding light on the molecular foundation of edible fruit during ripening.
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Affiliation(s)
- Mirna V Bautista-Valle
- Red de Estudios Moleculares Avanzados, Clúster Científico y Tecnológico BioMimic®, Instituto de Ecología A.C. (INECOL), Carretera Antigua a Coatepec No. 351, Xalapa, Veracruz, México
| | - Carolina Camacho-Vazquez
- Red de Estudios Moleculares Avanzados, Clúster Científico y Tecnológico BioMimic®, Instituto de Ecología A.C. (INECOL), Carretera Antigua a Coatepec No. 351, Xalapa, Veracruz, México
| | - José M Elizalde-Contreras
- Red de Estudios Moleculares Avanzados, Clúster Científico y Tecnológico BioMimic®, Instituto de Ecología A.C. (INECOL), Carretera Antigua a Coatepec No. 351, Xalapa, Veracruz, México
| | - Juan Luis Monribot-Villanueva
- Red de Estudios Moleculares Avanzados, Clúster Científico y Tecnológico BioMimic®, Instituto de Ecología A.C. (INECOL), Carretera Antigua a Coatepec No. 351, Xalapa, Veracruz, México
| | - Abraham M Vidal Limón
- Red de Estudios Moleculares Avanzados, Clúster Científico y Tecnológico BioMimic®, Instituto de Ecología A.C. (INECOL), Carretera Antigua a Coatepec No. 351, Xalapa, Veracruz, México
| | - Esaú Bojórquez-Velázquez
- Red de Estudios Moleculares Avanzados, Clúster Científico y Tecnológico BioMimic®, Instituto de Ecología A.C. (INECOL), Carretera Antigua a Coatepec No. 351, Xalapa, Veracruz, México
| | - Jesús Alejandro Zamora-Briseño
- Red de Estudios Moleculares Avanzados, Clúster Científico y Tecnológico BioMimic®, Instituto de Ecología A.C. (INECOL), Carretera Antigua a Coatepec No. 351, Xalapa, Veracruz, México
| | - Jesús V Jorrin-Novo
- Department of Biochemistry and Molecular Biology, ETSIAM, University of Cordoba, Cordoba, Spain
| | - Eliel Ruiz-May
- Red de Estudios Moleculares Avanzados, Clúster Científico y Tecnológico BioMimic®, Instituto de Ecología A.C. (INECOL), Carretera Antigua a Coatepec No. 351, Xalapa, Veracruz, México
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7
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Wu Z, Bonneil É, Belford M, Boeser C, Dunyach JJ, Thibault P. Targeted Mass Spectrometry Analyses of Somatic Mutations in Colorectal Cancer Specimens Using Differential Ion Mobility. J Proteome Res 2024; 23:644-652. [PMID: 38153093 DOI: 10.1021/acs.jproteome.3c00444] [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: 12/29/2023]
Abstract
Identification of K-Ras and B-Raf mutations in colorectal cancer (CRC) is essential to predict patients' response to anti-EGFR therapy and formulate appropriate therapeutic strategies to improve prognosis and survival. Here, we combined parallel reaction monitoring (PRM) with high-field asymmetric waveform ion mobility (FAIMS) to enhance mass spectrometry sensitivity and improve the identification of low-abundance K-Ras and B-Raf mutations in biological samples without immunoaffinity enrichment. In targeted LC-MS/MS analyses, FAIMS reduced the occurrence of interfering ions and enhanced precursor ion purity, resulting in a 3-fold improvement in the detection limit for K-Ras and B-Raf mutated peptides. In addition, the ion mobility separation of isomeric peptides using FAIMS facilitated the unambiguous identification of K-Ras G12D and G13D peptides. The application of targeted LC-MS/MS analyses using FAIMS is demonstrated for the detection and quantitation of B-Raf V600E, K-Ras G12D, G13D, and G12V in CRC cell lines and primary specimens.
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Affiliation(s)
- Zhaoguan Wu
- Institute for Research in Immunology and Cancer (IRIC) Université de Montréal, Montréal H3T 1J4, Canada
- Department of Chemistry, Université de Montréal, MIL Campus, Montréal H2 V 0B3, Canada
| | - Éric Bonneil
- Institute for Research in Immunology and Cancer (IRIC) Université de Montréal, Montréal H3T 1J4, Canada
| | - Michael Belford
- ThermoFisher Scientific, San Jose, California 95134, United States
| | - Cornelia Boeser
- ThermoFisher Scientific, San Jose, California 95134, United States
| | | | - Pierre Thibault
- Institute for Research in Immunology and Cancer (IRIC) Université de Montréal, Montréal H3T 1J4, Canada
- Department of Chemistry, Université de Montréal, MIL Campus, Montréal H2 V 0B3, Canada
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8
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Pade LR, Stepler KE, Portero EP, DeLaney K, Nemes P. Biological mass spectrometry enables spatiotemporal 'omics: From tissues to cells to organelles. MASS SPECTROMETRY REVIEWS 2024; 43:106-138. [PMID: 36647247 PMCID: PMC10668589 DOI: 10.1002/mas.21824] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 09/14/2022] [Accepted: 09/17/2022] [Indexed: 06/17/2023]
Abstract
Biological processes unfold across broad spatial and temporal dimensions, and measurement of the underlying molecular world is essential to their understanding. Interdisciplinary efforts advanced mass spectrometry (MS) into a tour de force for assessing virtually all levels of the molecular architecture, some in exquisite detection sensitivity and scalability in space-time. In this review, we offer vignettes of milestones in technology innovations that ushered sample collection and processing, chemical separation, ionization, and 'omics analyses to progressively finer resolutions in the realms of tissue biopsies and limited cell populations, single cells, and subcellular organelles. Also highlighted are methodologies that empowered the acquisition and analysis of multidimensional MS data sets to reveal proteomes, peptidomes, and metabolomes in ever-deepening coverage in these limited and dynamic specimens. In pursuit of richer knowledge of biological processes, we discuss efforts pioneering the integration of orthogonal approaches from molecular and functional studies, both within and beyond MS. With established and emerging community-wide efforts ensuring scientific rigor and reproducibility, spatiotemporal MS emerged as an exciting and powerful resource to study biological systems in space-time.
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Affiliation(s)
- Leena R. Pade
- Department of Chemistry & Biochemistry, University of Maryland, 8051 Regents Drive, College Park, MD 20742
| | - Kaitlyn E. Stepler
- Department of Chemistry & Biochemistry, University of Maryland, 8051 Regents Drive, College Park, MD 20742
| | - Erika P. Portero
- Department of Chemistry & Biochemistry, University of Maryland, 8051 Regents Drive, College Park, MD 20742
| | - Kellen DeLaney
- Department of Chemistry & Biochemistry, University of Maryland, 8051 Regents Drive, College Park, MD 20742
| | - Peter Nemes
- Department of Chemistry & Biochemistry, University of Maryland, 8051 Regents Drive, College Park, MD 20742
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9
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Mikhael A, Hardie D, Smith D, Pětrošová H, Ernst RK, Goodlett DR. Structural Elucidation of Intact Rough-type Lipopolysaccharides Using Field Asymmetric Ion Mobility Spectrometry and Kendrick Mass Defect Plots. Anal Chem 2023; 95:16796-16800. [PMID: 37943784 PMCID: PMC10666081 DOI: 10.1021/acs.analchem.3c02947] [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: 07/05/2023] [Accepted: 09/15/2023] [Indexed: 11/12/2023]
Abstract
Lipopolysaccharides (LPSs) are a hallmark virulence factor of Gram-negative bacteria. They are complex, structurally heterogeneous mixtures due to variations in number, type, and position of their simplest units: fatty acids and monosaccharides. Thus, LPS structural characterization by traditional mass spectrometry (MS) methods is challenging. Here, we describe the benefits of field asymmetric ion mobility spectrometry (FAIMS) for analysis of an intact R-type lipopolysaccharide complex mixture (lipooligosaccharide; LOS). Structural characterization was performed using Escherichia coli J5 (Rc mutant) LOS, a TLR4 agonist widely used in glycoconjugate vaccine research. FAIMS gas-phase fractionation improved the (S/N) ratio and number of detected LOS species. Additionally, FAIMS allowed the separation of overlapping isobars facilitating their tandem MS characterization and unequivocal structural assignments. In addition to FAIMS gas-phase fractionation benefits, extra sorting of the structurally related LOS molecules was further accomplished using Kendrick mass defect (KMD) plots. Notably, a custom KMD base unit of [Na-H] created a highly organized KMD plot that allowed identification of interesting and novel structural differences across the different LOS ion families, i.e., ions with different acylation degrees, oligosaccharides composition, and chemical modifications. Defining the composition of a single LOS ion by tandem MS along with the organized KMD plot structural network was sufficient to deduce the composition of 181 LOS species out of 321 species present in the mixture. The combination of FAIMS and KMD plots allowed in-depth characterization of the complex LOS mixture and uncovered a wealth of novel information about its structural variations.
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Affiliation(s)
- Abanoub Mikhael
- Department
of Biochemistry and Microbiology, University
of Victoria, Victoria, British Columbia V8W 2Y2, Canada
- University
of Victoria Genome British Columbia Proteomics Centre, Victoria, British Columbia V8Z 7X8, Canada
| | - Darryl Hardie
- University
of Victoria Genome British Columbia Proteomics Centre, Victoria, British Columbia V8Z 7X8, Canada
| | - Derek Smith
- University
of Victoria Genome British Columbia Proteomics Centre, Victoria, British Columbia V8Z 7X8, Canada
| | - Helena Pětrošová
- Department
of Biochemistry and Microbiology, University
of Victoria, Victoria, British Columbia V8W 2Y2, Canada
- University
of Victoria Genome British Columbia Proteomics Centre, Victoria, British Columbia V8Z 7X8, Canada
| | - Robert K. Ernst
- Department
of Microbial Pathogenesis, University of
Maryland—Baltimore, Baltimore, Maryland 21201, United States
| | - David R. Goodlett
- Department
of Biochemistry and Microbiology, University
of Victoria, Victoria, British Columbia V8W 2Y2, Canada
- University
of Victoria Genome British Columbia Proteomics Centre, Victoria, British Columbia V8Z 7X8, Canada
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10
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Will A, Oliinyk D, Bleiholder C, Meier F. Peptide collision cross sections of 22 post-translational modifications. Anal Bioanal Chem 2023; 415:6633-6645. [PMID: 37758903 PMCID: PMC10598134 DOI: 10.1007/s00216-023-04957-4] [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: 12/23/2022] [Revised: 07/13/2023] [Accepted: 08/23/2023] [Indexed: 09/29/2023]
Abstract
Recent advances have rekindled the interest in ion mobility as an additional dimension of separation in mass spectrometry (MS)-based proteomics. Ion mobility separates ions according to their size and shape in the gas phase. Here, we set out to investigate the effect of 22 different post-translational modifications (PTMs) on the collision cross section (CCS) of peptides. In total, we analyzed ~4300 pairs of matching modified and unmodified peptide ion species by trapped ion mobility spectrometry (TIMS). Linear alignment based on spike-in reference peptides resulted in highly reproducible CCS values with a median coefficient of variation of 0.26%. On a global level, we observed a redistribution in the m/z vs. ion mobility space for modified peptides upon changes in their charge state. Pairwise comparison between modified and unmodified peptides of the same charge state revealed median shifts in CCS between -1.4% (arginine citrullination) and +4.5% (O-GlcNAcylation). In general, increasing modified peptide masses were correlated with higher CCS values, in particular within homologous PTM series. However, investigating the ion populations in more detail, we found that the change in CCS can vary substantially for a given PTM and is partially correlated with the gas phase structure of its unmodified counterpart. In conclusion, our study shows PTM- and sequence-specific effects on the cross section of peptides, which could be further leveraged for proteome-wide PTM analysis.
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Affiliation(s)
- Andreas Will
- Functional Proteomics, Jena University Hospital, Am Klinikum 1, 07747, Jena, Germany
| | - Denys Oliinyk
- Functional Proteomics, Jena University Hospital, Am Klinikum 1, 07747, Jena, Germany
| | - Christian Bleiholder
- Department of Chemistry and Biochemistry, Florida State University, Tallahassee, FL, 32304, USA
| | - Florian Meier
- Functional Proteomics, Jena University Hospital, Am Klinikum 1, 07747, Jena, Germany.
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11
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Rangel-Angarita V, Mahoney KE, Kwon C, Sarker R, Lucas TM, Malaker SA. False-Positive Glycopeptide Identification via In-FAIMS Fragmentation. JACS AU 2023; 3:2498-2509. [PMID: 37772174 PMCID: PMC10523363 DOI: 10.1021/jacsau.3c00264] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/28/2023] [Revised: 08/24/2023] [Accepted: 09/01/2023] [Indexed: 09/30/2023]
Abstract
High-field asymmetric waveform ion mobility spectrometry (FAIMS) separates glycopeptides in the gas phase prior to mass spectrometry (MS) analysis, thus offering the potential to analyze glycopeptides without prior enrichment. Several studies have demonstrated the ability of FAIMS to enhance glycopeptide detection but have primarily focused on N-glycosylation. Here, we evaluated FAIMS for O-glycoprotein and mucin-domain glycoprotein analysis using samples of varying complexity. We demonstrated that FAIMS was useful in increasingly complex samples as it allowed for the identification of more glycosylated species. However, during our analyses, we observed a phenomenon called "in FAIMS fragmentation" (IFF) akin to in source fragmentation but occurring during FAIMS separation. FAIMS experiments showed a 2- to 5-fold increase in spectral matches from IFF compared with control experiments. These results were also replicated in previously published data, indicating that this is likely a systemic occurrence when using FAIMS. Our study highlights that although there are potential benefits to using FAIMS separation, caution must be exercised in data analysis because of prevalent IFF, which may limit its applicability in the broader field of O-glycoproteomics.
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Affiliation(s)
- Valentina Rangel-Angarita
- Department of Chemistry, Yale University, 275 Prospect Street, New
Haven, Connecticut 06511, United States
| | - Keira E. Mahoney
- Department of Chemistry, Yale University, 275 Prospect Street, New
Haven, Connecticut 06511, United States
| | - Catherine Kwon
- Department of Chemistry, Yale University, 275 Prospect Street, New
Haven, Connecticut 06511, United States
| | - Raibat Sarker
- Department of Chemistry, Yale University, 275 Prospect Street, New
Haven, Connecticut 06511, United States
| | - Taryn M. Lucas
- Department of Chemistry, Yale University, 275 Prospect Street, New
Haven, Connecticut 06511, United States
| | - Stacy A. Malaker
- Department of Chemistry, Yale University, 275 Prospect Street, New
Haven, Connecticut 06511, United States
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12
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Mikhael A, Hardie D, Smith D, Pětrošová H, Ernst RK, Goodlett DR. Structural Elucidation of Intact Rough-Type Lipopolysaccharides using Field Asymmetric Ion Mobility Spectrometry and Kendrick Mass Defect Plots. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.06.21.545950. [PMID: 37461651 PMCID: PMC10349945 DOI: 10.1101/2023.06.21.545950] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 07/24/2023]
Abstract
Lipopolysaccharide (LPS) is a hallmark virulence factor of Gram-negative bacteria. It is a complex, structurally heterogeneous mixture due to variations in number, type, and position of its simplest units: fatty acids and monosaccharides. Thus, LPS structural characterization by traditional mass spectrometry (MS) methods is challenging. Here, we describe the benefits of field asymmetric ion mobility spectrometry (FAIMS) for analysis of intact R-type lipopolysaccharide complex mixture (lipooligosaccharide; LOS). Structural characterization was performed using Escherichia coli J5 (Rc mutant) LOS, a TLR4 agonist widely used in glycoconjugate vaccine research. FAIMS gas phase fractionation improved the (S/N) ratio and number of detected LOS species. Additionally, FAIMS allowed the separation of overlapping isobars facilitating their tandem MS characterization and unequivocal structural assignments. In addition to FAIMS gas phase fractionation benefits, extra sorting of the structurally related LOS molecules was further accomplished using Kendrick mass defect (KMD) plots. Notably, a custom KMD base unit of [NaH] created a highly organized KMD plot that allowed identification of interesting and novel structural differences across the different LOS ion families; i.e., ions with different acylation degrees, oligosaccharides composition, and chemical modifications. Defining the composition of a single LOS ion by tandem MS along with the organized KMD plot structural network was sufficient to deduce the composition of 179 LOS species out of 321 species present in the mixture. The combination of FAIMS and KMD plots allowed in-depth characterization of the complex LOS mixture and uncovered a wealth of novel information about its structural variations.
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Affiliation(s)
- Abanoub Mikhael
- Department of Biochemistry and Microbiology, University of Victoria, Victoria, British Columbia V8W 2Y2, Canada
- University of Victoria Genome British Columbia Proteomics Centre, Victoria, British Columbia V8Z 7X8, Canada
| | - Darryl Hardie
- University of Victoria Genome British Columbia Proteomics Centre, Victoria, British Columbia V8Z 7X8, Canada
| | - Derek Smith
- University of Victoria Genome British Columbia Proteomics Centre, Victoria, British Columbia V8Z 7X8, Canada
| | - Helena Pětrošová
- Department of Biochemistry and Microbiology, University of Victoria, Victoria, British Columbia V8W 2Y2, Canada
- University of Victoria Genome British Columbia Proteomics Centre, Victoria, British Columbia V8Z 7X8, Canada
| | - Robert K Ernst
- Department of Microbial Pathogenesis, University of Maryland - Baltimore, Baltimore, MD, 21201 USA
| | - David R Goodlett
- Department of Biochemistry and Microbiology, University of Victoria, Victoria, British Columbia V8W 2Y2, Canada
- University of Victoria Genome British Columbia Proteomics Centre, Victoria, British Columbia V8Z 7X8, Canada
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13
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Weiner S, Blennow K, Zetterberg H, Gobom J. Next-generation proteomics technologies in Alzheimer's disease: from clinical research to routine diagnostics. Expert Rev Proteomics 2023; 20:143-150. [PMID: 37701966 DOI: 10.1080/14789450.2023.2255752] [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: 05/21/2023] [Accepted: 08/18/2023] [Indexed: 09/14/2023]
Abstract
INTRODUCTION Clinical proteomics studies of Alzheimer's disease (AD) research aim to identify biomarkers useful for clinical research, diagnostics, and improve our understanding of the pathological processes involved in the disease. The rapidly increasing performance of proteomics technologies is likely to have great impact on AD research. AREAS COVERED We review recent proteomics approaches that have advanced the field of clinical AD research. Specifically, we discuss the application of targeted mass spectrometry (MS), labeling-based and label-free MS-based as well as affinity-based proteomics to AD biomarker development, underpinning their importance with the latest impactful clinical studies. We evaluate how proteomics technologies have been adapted to meet current challenges. Finally, we discuss the limitations and potential of proteomics techniques and whether their scope might extend beyond current research-based applications. EXPERT OPINION To date, proteomics technologies in the AD field have been largely limited to AD biomarker discovery. The recent development of the first successful disease-modifying treatments of AD will further increase the need for blood biomarkers for early, accurate diagnosis, and CSF biomarkers that reflect specific pathological processes. Proteomics has the potential to meet these requirements and to progress into clinical routine practice, provided that current limitations are overcome.
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Affiliation(s)
- Sophia Weiner
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Neurodegenerative Disease, UCL Institute of Neurology, Dementia Research Institute at UCL, London, UK
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
- Hong Kong Center for Neurodegenerative Diseases, Clear Water Bay, Hong Kong, China
| | - Johan Gobom
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
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14
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Ai L, Binek A, Kreimer S, Ayres M, Stotland A, Van Eyk JE. High-Field Asymmetric Waveform Ion Mobility Spectrometry: Practical Alternative for Cardiac Proteome Sample Processing. J Proteome Res 2023; 22:2124-2130. [PMID: 37040897 PMCID: PMC10243111 DOI: 10.1021/acs.jproteome.3c00027] [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: 01/12/2023] [Indexed: 04/13/2023]
Abstract
Heart tissue sample preparation for mass spectrometry (MS) analysis that includes prefractionation reduces the cellular protein dynamic range and increases the relative abundance of nonsarcomeric proteins. We previously described "IN-Sequence" (IN-Seq) where heart tissue lysate is sequentially partitioned into three subcellular fractions to increase the proteome coverage more than a single direct tissue analysis by mass spectrometry. Here, we report an adaptation of the high-field asymmetric ion mobility spectrometry (FAIMS) coupled to mass spectrometry, and the establishment of a simple one step sample preparation coupled with gas-phase fractionation. The FAIMS approach substantially reduces manual sample handling, significantly shortens the MS instrument processing time, and produces unique protein identification and quantification approximating the commonly used IN-Seq method in less time.
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Affiliation(s)
- Lizhuo Ai
- Department
of Biomedical Sciences, Cedars-Sinai Medical
Center, Los Angeles, California 90048, United States
- Advanced
Clinical Biosystems Research Institute, Smidt Heart institute, Cedars-Sinai Medical Center, Los Angeles, California 90048, United States
| | - Aleksandra Binek
- Advanced
Clinical Biosystems Research Institute, Smidt Heart institute, Cedars-Sinai Medical Center, Los Angeles, California 90048, United States
| | - Simion Kreimer
- Advanced
Clinical Biosystems Research Institute, Smidt Heart institute, Cedars-Sinai Medical Center, Los Angeles, California 90048, United States
| | - Matthew Ayres
- Advanced
Clinical Biosystems Research Institute, Smidt Heart institute, Cedars-Sinai Medical Center, Los Angeles, California 90048, United States
| | - Aleksandr Stotland
- Advanced
Clinical Biosystems Research Institute, Smidt Heart institute, Cedars-Sinai Medical Center, Los Angeles, California 90048, United States
| | - Jennifer E. Van Eyk
- Department
of Biomedical Sciences, Cedars-Sinai Medical
Center, Los Angeles, California 90048, United States
- Advanced
Clinical Biosystems Research Institute, Smidt Heart institute, Cedars-Sinai Medical Center, Los Angeles, California 90048, United States
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15
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Peng J, Chan C, Zhang S, Sklavounos AA, Olson ME, Scott EY, Hu Y, Rajesh V, Li BB, Chamberlain MD, Zhang S, Peng H, Wheeler AR. All-in-One digital microfluidics pipeline for proteomic sample preparation and analysis. Chem Sci 2023; 14:2887-2900. [PMID: 36937585 PMCID: PMC10016607 DOI: 10.1039/d3sc00560g] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Accepted: 02/07/2023] [Indexed: 02/24/2023] Open
Abstract
Highly sensitive and reproducible analysis of samples containing low amounts of protein is restricted by sample loss and the introduction of contaminants during processing. Here, we report an All-in-One digital microfluidic (DMF) pipeline for proteomic sample reduction, alkylation, digestion, isotopic labeling and analysis. The system features end-to-end automation, with integrated thermal control for digestion, optimized droplet additives for sample manipulation and analysis, and an automated interface to liquid chromatography with tandem mass spectrometry (HPLC-MS/MS). Dimethyl labeling was integrated into the pipeline to allow for relative quantification of the trace samples at the nanogram level, and the new pipeline was applied to evaluating cancer cell lines and cancer tissue samples. Several known proteins (including HSP90AB1, HSPB1, LDHA, ENO1, PGK1, KRT18, and AKR1C2) and pathways were observed between model breast cancer cell lines related to hormone response, cell metabolism, and cell morphology. Furthermore, differentially quantified proteins (such as PGS2, UGDH, ASPN, LUM, COEA1, and PRELP) were found in comparisons of healthy and cancer breast tissues, suggesting potential utility of the All-in-One pipeline for the emerging application of proteomic cancer sub-typing. In sum, the All-in-One pipeline represents a powerful new tool for automated proteome processing and analysis, with the potential to be useful for evaluating mass-limited samples for a wide range of applications.
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Affiliation(s)
- Jiaxi Peng
- Department of Chemistry, University of Toronto 80 St. George Street Toronto ON M5S 3H6 Canada +1-416-946-3865 +1-416-946-3866
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto 160 College Street Toronto ON M5S 3E1 Canada
- Institute of Biomedical Engineering, University of Toronto 164 College Street Toronto ON M5S 3G9 Canada
| | - Calvin Chan
- Department of Chemistry, University of Toronto 80 St. George Street Toronto ON M5S 3H6 Canada +1-416-946-3865 +1-416-946-3866
| | - Shuailong Zhang
- Department of Chemistry, University of Toronto 80 St. George Street Toronto ON M5S 3H6 Canada +1-416-946-3865 +1-416-946-3866
- School of Mechatronical Engineering, Beijing Institute of Technology Beijing 100081 China
- Beijing Advanced Innovation Center for Intelligent Robots and Systems, Beijing Institute of Technology Beijing 100081 China
| | - Alexandros A Sklavounos
- Department of Chemistry, University of Toronto 80 St. George Street Toronto ON M5S 3H6 Canada +1-416-946-3865 +1-416-946-3866
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto 160 College Street Toronto ON M5S 3E1 Canada
| | - Maxwell E Olson
- Department of Chemistry, University of Toronto 80 St. George Street Toronto ON M5S 3H6 Canada +1-416-946-3865 +1-416-946-3866
| | - Erica Y Scott
- Department of Chemistry, University of Toronto 80 St. George Street Toronto ON M5S 3H6 Canada +1-416-946-3865 +1-416-946-3866
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto 160 College Street Toronto ON M5S 3E1 Canada
- Institute of Biomedical Engineering, University of Toronto 164 College Street Toronto ON M5S 3G9 Canada
| | - Yechen Hu
- Department of Chemistry, University of Toronto 80 St. George Street Toronto ON M5S 3H6 Canada +1-416-946-3865 +1-416-946-3866
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto 160 College Street Toronto ON M5S 3E1 Canada
- Institute of Biomedical Engineering, University of Toronto 164 College Street Toronto ON M5S 3G9 Canada
| | - Vigneshwar Rajesh
- Department of Chemistry, University of Toronto 80 St. George Street Toronto ON M5S 3H6 Canada +1-416-946-3865 +1-416-946-3866
| | - Bingyu B Li
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto 160 College Street Toronto ON M5S 3E1 Canada
- Institute of Biomedical Engineering, University of Toronto 164 College Street Toronto ON M5S 3G9 Canada
| | - M Dean Chamberlain
- Department of Chemistry, University of Toronto 80 St. George Street Toronto ON M5S 3H6 Canada +1-416-946-3865 +1-416-946-3866
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto 160 College Street Toronto ON M5S 3E1 Canada
- Institute of Biomedical Engineering, University of Toronto 164 College Street Toronto ON M5S 3G9 Canada
- Saskatchewan Cancer Agency, University of Saskatchewan 107 Wiggins Road Saskatoon SK S7N 5E5 Canada
| | - Shen Zhang
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital 600 University Avenue Toronto ON M5G 1X5 Canada
- Clinical Research Center for Reproduction and Genetics in Hunan Province, Reproductive and Genetic Hospital of CITIC-XIANGYA Changsha Hunan 410000 China
| | - Hui Peng
- Department of Chemistry, University of Toronto 80 St. George Street Toronto ON M5S 3H6 Canada +1-416-946-3865 +1-416-946-3866
- School of Environment, University of Toronto 33 Willcocks Street Toronto ON M5S 3E8 Canada
| | - Aaron R Wheeler
- Department of Chemistry, University of Toronto 80 St. George Street Toronto ON M5S 3H6 Canada +1-416-946-3865 +1-416-946-3866
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto 160 College Street Toronto ON M5S 3E1 Canada
- Institute of Biomedical Engineering, University of Toronto 164 College Street Toronto ON M5S 3G9 Canada
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16
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Schlossarek D, Zhang Y, Sokolowska EM, Fernie AR, Luzarowski M, Skirycz A. Don't let go: co-fractionation mass spectrometry for untargeted mapping of protein-metabolite interactomes. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2023; 113:904-914. [PMID: 36575913 DOI: 10.1111/tpj.16084] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Revised: 12/20/2022] [Accepted: 12/23/2022] [Indexed: 06/17/2023]
Abstract
The chemical complexity of metabolomes goes hand in hand with their functional diversity. Small molecules have many essential roles, many of which are executed by binding and modulating the function of a protein partner. The complex and dynamic protein-metabolite interaction (PMI) network underlies most if not all biological processes, but remains under-characterized. Herein, we highlight how co-fractionation mass spectrometry (CF-MS), a well-established approach to map protein assemblies, can be used for proteome and metabolome identification of the PMIs. We will review recent CF-MS studies, discuss the main advantages and limitations, summarize the available CF-MS guidelines, and outline future challenges and opportunities.
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Affiliation(s)
- Dennis Schlossarek
- Depeartment One, Max-Planck-Institute of Molecular Plant Physiology, 14476, Potsdam, Germany
| | - Youjun Zhang
- Depeartment One, Max-Planck-Institute of Molecular Plant Physiology, 14476, Potsdam, Germany
| | - Ewelina M Sokolowska
- Depeartment One, Max-Planck-Institute of Molecular Plant Physiology, 14476, Potsdam, Germany
| | - Alisdair R Fernie
- Depeartment One, Max-Planck-Institute of Molecular Plant Physiology, 14476, Potsdam, Germany
| | - Marcin Luzarowski
- Center for Molecular Biology Heidelberg, Heidelberg University, Heidelberg, Germany
| | - Aleksandra Skirycz
- Depeartment One, Max-Planck-Institute of Molecular Plant Physiology, 14476, Potsdam, Germany
- Boyce Thompson Institute, Ithaca, NY, 14850, USA
- School of Integrative Plant Science, Cornell University, Ithaca, NY, 14850, USA
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17
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Tian X, Permentier HP, Bischoff R. Chemical isotope labeling for quantitative proteomics. MASS SPECTROMETRY REVIEWS 2023; 42:546-576. [PMID: 34091937 PMCID: PMC10078755 DOI: 10.1002/mas.21709] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/29/2021] [Revised: 03/22/2021] [Accepted: 05/17/2021] [Indexed: 05/05/2023]
Abstract
Advancements in liquid chromatography and mass spectrometry over the last decades have led to a significant development in mass spectrometry-based proteome quantification approaches. An increasingly attractive strategy is multiplex isotope labeling, which significantly improves the accuracy, precision and throughput of quantitative proteomics in the data-dependent acquisition mode. Isotope labeling-based approaches can be classified into MS1-based and MS2-based quantification. In this review, we give an overview of approaches based on chemical isotope labeling and discuss their principles, benefits, and limitations with the goal to give insights into fundamental questions and provide a useful reference for choosing a method for quantitative proteomics. As a perspective, we discuss the current possibilities and limitations of multiplex, isotope labeling approaches for the data-independent acquisition mode, which is increasing in popularity.
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Affiliation(s)
- Xiaobo Tian
- Department of Analytical Biochemistry and Interfaculty Mass Spectrometry Center, Groningen Research Institute of PharmacyUniversity of GroningenGroningenThe Netherlands
| | - Hjalmar P. Permentier
- Department of Analytical Biochemistry and Interfaculty Mass Spectrometry Center, Groningen Research Institute of PharmacyUniversity of GroningenGroningenThe Netherlands
| | - Rainer Bischoff
- Department of Analytical Biochemistry and Interfaculty Mass Spectrometry Center, Groningen Research Institute of PharmacyUniversity of GroningenGroningenThe Netherlands
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18
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John A, M Bader S, Madiedo Soler N, Wiradiputri K, Tichkule S, Smyth ST, Ralph SA, Jex AR, Scott NE, Tonkin CJ, Goddard-Borger ED. Conservation, abundance, glycosylation profile, and localization of the TSP protein family in Cryptosporidium parvum. J Biol Chem 2023; 299:103006. [PMID: 36775128 PMCID: PMC10034466 DOI: 10.1016/j.jbc.2023.103006] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2022] [Revised: 02/05/2023] [Accepted: 02/06/2023] [Indexed: 02/12/2023] Open
Abstract
Cryptosporidium parvum is a zoonotic apicomplexan parasite and a common cause of diarrheal disease worldwide. The development of vaccines to prevent or limit infection remains an important goal for tackling cryptosporidiosis. At present, the only approved vaccine against any apicomplexan parasite targets a conserved adhesin possessing a thrombospondin repeat domain. C. parvum possesses 12 orthologous thrombospondin repeat domain-containing proteins known as CpTSP1-12, though little is known about these potentially important antigens. Here, we explore the architecture and conservation of the CpTSP protein family, as well as their abundance at the protein level within the sporozoite stage of the life cycle. We examine the glycosylation states of these proteins using a combination of glycopeptide enrichment techniques to demonstrate that these proteins are modified with C-, O-, and N-linked glycans. Using expansion microscopy, and an antibody against the C-linked mannose that is unique to the CpTSP protein family within C. parvum, we show that these proteins are found both on the cell surface and in structures that resemble the secretory pathway of C. parvum sporozoites. Finally, we generated a polyclonal antibody against CpTSP1 to show that it is found at the cell surface and within micronemes, in a pattern reminiscent of other apicomplexan motility-associated adhesins, and is present both in sporozoites and meronts. This work sheds new light on an understudied family of C. parvum proteins that are likely to be important to both parasite biology and the development of vaccines against cryptosporidiosis.
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Affiliation(s)
- Alan John
- The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia; Department of Medical Biology, University of Melbourne, Parkville, Victoria, Australia
| | - Stefanie M Bader
- The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia; Department of Medical Biology, University of Melbourne, Parkville, Victoria, Australia
| | - Niccolay Madiedo Soler
- The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia; Department of Medical Biology, University of Melbourne, Parkville, Victoria, Australia
| | - Kharizta Wiradiputri
- The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia; Department of Medical Biology, University of Melbourne, Parkville, Victoria, Australia
| | - Swapnil Tichkule
- The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia; Department of Medical Biology, University of Melbourne, Parkville, Victoria, Australia
| | - Sean T Smyth
- The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia; Department of Medical Biology, University of Melbourne, Parkville, Victoria, Australia
| | - Stuart A Ralph
- Department of Biochemistry and Pharmacology, Bio21 Molecular Science and Biotechnology Institute, University of Melbourne, Parkville, Victoria, Australia
| | - Aaron R Jex
- The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia; Department of Medical Biology, University of Melbourne, Parkville, Victoria, Australia
| | - Nichollas E Scott
- Department of Microbiology and Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Parkville, Victoria, Australia.
| | - Christopher J Tonkin
- The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia; Department of Medical Biology, University of Melbourne, Parkville, Victoria, Australia.
| | - Ethan D Goddard-Borger
- The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia; Department of Medical Biology, University of Melbourne, Parkville, Victoria, Australia.
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19
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Multidimensional separation and analysis of alpha-1-acid glycoprotein N-glycopeptides using high-field asymmetric waveform ion mobility spectrometry (FAIMS) and nano-liquid chromatography tandem mass spectrometry. Anal Bioanal Chem 2023; 415:379-390. [PMID: 36401639 DOI: 10.1007/s00216-022-04435-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Revised: 10/17/2022] [Accepted: 11/09/2022] [Indexed: 11/21/2022]
Abstract
Bottom-up nLC-MS/MS-based glycoprotein mass spectrometry workflows rely on the generation of a mixture of non-glycosylated and glycosylated peptides via proteolysis of glycoproteins. Such methods are challenged by suppression of hydrophilic glycopeptide ions by more abundant, hydrophobic, and readily ionizable non-glycosylated peptides. Commercially available high-field asymmetric waveform ion mobility spectrometry (FAIMS) devices have recently been introduced and present a potential benefit for glycoproteomic workflows by enabling orthogonal separation of non-glycosylated peptides and glycopeptides following chromatographic separation, and prior to MS/MS analysis. However, knowledge is lacking regarding optimal FAIMS conditions for glycopeptide analyses. Here, we document optimal FAIMS compensation voltages for the transmission and analysis of human alpha-1-acid glycoprotein (AGP) tryptic N-glycopeptide ions. Further, we evaluate the effect of FAIMS on AGP glycopeptide assignment confidence by comparing the number of assigned glycopeptides at different confidence levels using a standard nLC-MS/MS method or an otherwise identical method employing FAIMS. Optimized methods will potentiate glycoproteomic analyses by increasing the number of unique glycopeptide identifications and the confidence of glycopeptide assignments. Data are available via ProteomeXchange with identifier PXD036667. Analysis of alpha-1-acid glycoprotein (AGP) tryptic digests via nLC-FAIMS-MS/MS (top) led to the establishment of ideal FAIMS voltages for the analysis of AGP N-glycopeptides (bottom), suggesting that FAIMS can improve the depth of glycoproteome characterization. Pairs of CV magnitudes are shown along the x-axis.
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20
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High-end ion mobility mass spectrometry: A current review of analytical capacity in omics applications and structural investigations. Trends Analyt Chem 2022. [DOI: 10.1016/j.trac.2022.116761] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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21
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Deng W, Sha J, Xue F, Jami-Alahmadi Y, Plath K, Wohlschlegel J. High-Field Asymmetric Waveform Ion Mobility Spectrometry Interface Enhances Parallel Reaction Monitoring on an Orbitrap Mass Spectrometer. Anal Chem 2022; 94:15939-15947. [PMID: 36347042 PMCID: PMC9685594 DOI: 10.1021/acs.analchem.2c01287] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Accepted: 10/26/2022] [Indexed: 11/09/2022]
Abstract
High-field asymmetric waveform ion mobility spectrometry (FAIMS) enables gas-phase separations on a chromatographic time scale and has become a useful tool for proteomic applications. Despite its emerging utility, however, the molecular determinants underlying peptide separation by FAIMS have not been systematically investigated. Here, we characterize peptide transmission in a FAIMS device across a broad range of compensation voltages (CVs) and used machine learning to identify charge state and three-dimensional (3D) electrostatic peptide potential as major contributors to peptide intensity at a given CV. We also demonstrate that the machine learning model can be used to predict optimized CV values for peptides, which significantly improves parallel reaction monitoring workflows. Together, these data provide insight into peptide separation by FAIMS and highlight its utility in targeted proteomic applications.
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Affiliation(s)
- Weixian Deng
- David
Geffen School of Medicine, Department of Biological Chemistry, University of California Los Angeles, Los Angeles, California 90095, United States
- Molecular
Biology Interdepartmental Graduate Program, University of California Los Angeles, Los Angeles, California 90095, United States
| | - Jihui Sha
- David
Geffen School of Medicine, Department of Biological Chemistry, University of California Los Angeles, Los Angeles, California 90095, United States
| | - Fanglei Xue
- University
of Technology Sydney, Ultimo, New South Wales 2007, Australia
| | - Yasaman Jami-Alahmadi
- David
Geffen School of Medicine, Department of Biological Chemistry, University of California Los Angeles, Los Angeles, California 90095, United States
| | - Kathrin Plath
- David
Geffen School of Medicine, Department of Biological Chemistry, University of California Los Angeles, Los Angeles, California 90095, United States
| | - James Wohlschlegel
- David
Geffen School of Medicine, Department of Biological Chemistry, University of California Los Angeles, Los Angeles, California 90095, United States
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22
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Paulo JA. Isobaric labeling: Expanding the breadth, accuracy, depth, and diversity of sample multiplexing. Proteomics 2022; 22:e2200328. [PMID: 36089831 PMCID: PMC10777124 DOI: 10.1002/pmic.202200328] [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: 08/25/2022] [Revised: 08/25/2022] [Accepted: 08/26/2022] [Indexed: 11/10/2022]
Abstract
Isobaric labeling has rapidly become a predominant strategy for proteome-wide abundance measurements. Coupled to mass spectrometry, sample multiplexing techniques using isobaric labeling are unparalleled for profiling proteins and posttranslational modifications across multiple samples in a single experiment. Here, I highlight aspects of isobaric labeling in the context of expanding the breadth of multiplexing, improving quantitative accuracy and proteome depth, and developing a wide range of diverse applications. I underscore two facets that enhance quantitative accuracy and reproducibility, specifically the availability of quality control standards for isobaric labeling experiments and the evolution of data acquisition methods. I also emphasize the necessity for standardized methodologies, particularly for emerging high-throughput workflows. Future developments in sample multiplexing will further strengthen the importance of isobaric labeling for comprehensive proteome profiling.
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Affiliation(s)
- Joao A Paulo
- Department of Cell Biology, Blavatnik Institute at Harvard Medical School, Boston, Massachusetts, USA
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23
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Wu Z, Bonneil É, Belford M, Boeser C, Ruiz Cuevas MV, Lemieux S, Dunyach JJ, Thibault P. Proteogenomics and Differential Ion Mobility Enable the Exploration of the Mutational Landscape in Colon Cancer Cells. Anal Chem 2022; 94:12086-12094. [PMID: 35995421 PMCID: PMC9454824 DOI: 10.1021/acs.analchem.2c02056] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Accepted: 08/15/2022] [Indexed: 11/29/2022]
Abstract
The sensitivity and depth of proteomic analyses are limited by isobaric ions and interferences that preclude the identification of low abundance peptides. Extensive sample fractionation is often required to extend proteome coverage when sample amount is not a limitation. Ion mobility devices provide a viable alternate approach to resolve confounding ions and improve peak capacity and mass spectrometry (MS) sensitivity. Here, we report the integration of differential ion mobility with segmented ion fractionation (SIFT) to enhance the comprehensiveness of proteomic analyses. The combination of differential ion mobility and SIFT, where narrow windows of ∼m/z 100 are acquired in turn, is found particularly advantageous in the analysis of protein digests and typically provided more than 60% gain in identification compared to conventional single-shot LC-MS/MS. The application of this approach is further demonstrated for the analysis of tryptic digests from different colorectal cancer cell lines where the enhanced sensitivity enabled the identification of single amino acid variants that were correlated with the corresponding transcriptomic data sets.
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Affiliation(s)
- Zhaoguan Wu
- Institute for Research
in Immunology and Cancer (IRIC), Université
de Montréal, Montréal, Quebec 514 343-6910, Canada
- Department of Chemistry, Université
de Montréal, Montréal, Quebec 514 343-6910, Canada
| | - Éric Bonneil
- Institute for Research
in Immunology and Cancer (IRIC), Université
de Montréal, Montréal, Quebec 514 343-6910, Canada
| | - Michael Belford
- ThermoFisher Scientific, San Jose, California 95134, United States
| | - Cornelia Boeser
- ThermoFisher Scientific, San Jose, California 95134, United States
| | - Maria Virginia Ruiz Cuevas
- Institute for Research
in Immunology and Cancer (IRIC), Université
de Montréal, Montréal, Quebec 514 343-6910, Canada
- Department
of Biochemistry, Université de Montréal, Montréal, Quebec 514 343-6910, Canada
| | - Sébastien Lemieux
- Institute for Research
in Immunology and Cancer (IRIC), Université
de Montréal, Montréal, Quebec 514 343-6910, Canada
- Department
of Biochemistry, Université de Montréal, Montréal, Quebec 514 343-6910, Canada
| | | | - Pierre Thibault
- Institute for Research
in Immunology and Cancer (IRIC), Université
de Montréal, Montréal, Quebec 514 343-6910, Canada
- Department of Chemistry, Université
de Montréal, Montréal, Quebec 514 343-6910, Canada
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24
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Abstract
Paleoproteomics, the study of ancient proteins, is a rapidly growing field at the intersection of molecular biology, paleontology, archaeology, paleoecology, and history. Paleoproteomics research leverages the longevity and diversity of proteins to explore fundamental questions about the past. While its origins predate the characterization of DNA, it was only with the advent of soft ionization mass spectrometry that the study of ancient proteins became truly feasible. Technological gains over the past 20 years have allowed increasing opportunities to better understand preservation, degradation, and recovery of the rich bioarchive of ancient proteins found in the archaeological and paleontological records. Growing from a handful of studies in the 1990s on individual highly abundant ancient proteins, paleoproteomics today is an expanding field with diverse applications ranging from the taxonomic identification of highly fragmented bones and shells and the phylogenetic resolution of extinct species to the exploration of past cuisines from dental calculus and pottery food crusts and the characterization of past diseases. More broadly, these studies have opened new doors in understanding past human-animal interactions, the reconstruction of past environments and environmental changes, the expansion of the hominin fossil record through large scale screening of nondiagnostic bone fragments, and the phylogenetic resolution of the vertebrate fossil record. Even with these advances, much of the ancient proteomic record still remains unexplored. Here we provide an overview of the history of the field, a summary of the major methods and applications currently in use, and a critical evaluation of current challenges. We conclude by looking to the future, for which innovative solutions and emerging technology will play an important role in enabling us to access the still unexplored "dark" proteome, allowing for a fuller understanding of the role ancient proteins can play in the interpretation of the past.
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Affiliation(s)
- Christina Warinner
- Department
of Anthropology, Harvard University, Cambridge, Massachusetts 02138, United States
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig 04103, Germany
| | - Kristine Korzow Richter
- Department
of Anthropology, Harvard University, Cambridge, Massachusetts 02138, United States
| | - Matthew J. Collins
- Department
of Archaeology, Cambridge University, Cambridge CB2 3DZ, United Kingdom
- Section
for Evolutionary Genomics, Globe Institute,
University of Copenhagen, Copenhagen 1350, Denmark
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25
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The addition of FAIMS increases targeted proteomics sensitivity from FFPE tumor biopsies. Sci Rep 2022; 12:13876. [PMID: 35974054 PMCID: PMC9381555 DOI: 10.1038/s41598-022-16358-1] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Accepted: 07/08/2022] [Indexed: 12/02/2022] Open
Abstract
Mass spectrometry-based targeted proteomics allows objective protein quantitation of clinical biomarkers from a single section of formalin-fixed, paraffin-embedded (FFPE) tumor tissue biopsies. We combined high-field asymmetric waveform ion mobility spectrometry (FAIMS) and parallel reaction monitoring (PRM) to increase assay sensitivity. The modular nature of the FAIMS source allowed direct comparison of the performance of FAIMS-PRM to PRM. Limits of quantitation were determined by spiking synthetic peptides into a human spleen matrix. In addition, 20 clinical samples were analyzed using FAIMS-PRM and the quantitation of HER2 was compared with that obtained with the Ventana immunohistochemistry assay. FAIMS-PRM improved the overall signal-to-noise ratio over that from PRM and increased assay sensitivity in FFPE tissue analysis for four (HER2, EGFR, cMET, and KRAS) of five proteins of clinical interest. FAIMS-PRM enabled sensitive quantitation of basal HER2 expression in breast cancer samples classified as HER2 negative by immunohistochemistry. Furthermore, we determined the degree of FAIMS-dependent background reduction and showed that this correlated with an improved lower limit of quantitation with FAIMS. FAIMS-PRM is anticipated to benefit clinical trials in which multiple biomarker questions must be addressed and the availability of tumor biopsy samples is limited.
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26
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Proteomic Discovery and Validation of Novel Fluid Biomarkers for Improved Patient Selection and Prediction of Clinical Outcomes in Alzheimer’s Disease Patient Cohorts. Proteomes 2022; 10:proteomes10030026. [PMID: 35997438 PMCID: PMC9397030 DOI: 10.3390/proteomes10030026] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2022] [Revised: 07/13/2022] [Accepted: 07/23/2022] [Indexed: 01/25/2023] Open
Abstract
Alzheimer’s disease (AD) is an irreversible neurodegenerative disease characterized by progressive cognitive decline. The two cardinal neuropathological hallmarks of AD include the buildup of cerebral β amyloid (Aβ) plaques and neurofibrillary tangles of hyperphosphorylated tau. The current disease-modifying treatments are still not effective enough to lower the rate of cognitive decline. There is an urgent need to identify early detection and disease progression biomarkers that can facilitate AD drug development. The current established readouts based on the expression levels of amyloid beta, tau, and phospho-tau have shown many discrepancies in patient samples when linked to disease progression. There is an urgent need to identify diagnostic and disease progression biomarkers from blood, cerebrospinal fluid (CSF), or other biofluids that can facilitate the early detection of the disease and provide pharmacodynamic readouts for new drugs being tested in clinical trials. Advances in proteomic approaches using state-of-the-art mass spectrometry are now being increasingly applied to study AD disease mechanisms and identify drug targets and novel disease biomarkers. In this report, we describe the application of quantitative proteomic approaches for understanding AD pathophysiology, summarize the current knowledge gained from proteomic investigations of AD, and discuss the development and validation of new predictive and diagnostic disease biomarkers.
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27
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Muqaku B, Oeckl P. Peptidomic Approaches and Observations in Neurodegenerative Diseases. Int J Mol Sci 2022; 23:ijms23137332. [PMID: 35806335 PMCID: PMC9266836 DOI: 10.3390/ijms23137332] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Revised: 06/16/2022] [Accepted: 06/28/2022] [Indexed: 02/04/2023] Open
Abstract
Mass spectrometry (MS), with its immense technological developments over the last two decades, has emerged as an unavoidable technique in analyzing biomolecules such as proteins and peptides. Its multiplexing capability and explorative approach make it a valuable tool for analyzing complex clinical samples concerning biomarker research and investigating pathophysiological mechanisms. Peptides regulate various biological processes, and several of them play a critical role in many disease-related pathological conditions. One important example in neurodegenerative diseases is the accumulation of amyloid-beta peptides (Aβ) in the brain of Alzheimer’s disease (AD) patients. When investigating brain function and brain-related pathologies, such as neurodegenerative diseases, cerebrospinal fluid (CSF) represents the most suitable sample because of its direct contact with the brain. In this review, we evaluate publications applying peptidomics analysis to CSF samples, focusing on neurodegenerative diseases. We describe the methodology of peptidomics analysis and give an overview of the achievements of CSF peptidomics over the years. Finally, publications reporting peptides regulated in AD are discussed.
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Affiliation(s)
- Besnik Muqaku
- German Center for Neurodegenerative Diseases (DZNE e.V.), 89081 Ulm, Germany;
| | - Patrick Oeckl
- German Center for Neurodegenerative Diseases (DZNE e.V.), 89081 Ulm, Germany;
- Department of Neurology, Ulm University Hospital, 89081 Ulm, Germany
- Correspondence: ; Tel.: +49-731-500-63143
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28
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te Brinke E, Arrizabalaga-Larrañaga A, Blokland MH. Insights of ion mobility spectrometry and its application on food safety and authenticity: A review. Anal Chim Acta 2022; 1222:340039. [DOI: 10.1016/j.aca.2022.340039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Revised: 06/01/2022] [Accepted: 06/03/2022] [Indexed: 11/01/2022]
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29
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Skowronek P, Meier F. High-Throughput Mass Spectrometry-Based Proteomics with dia-PASEF. METHODS IN MOLECULAR BIOLOGY (CLIFTON, N.J.) 2022; 2456:15-27. [PMID: 35612732 DOI: 10.1007/978-1-0716-2124-0_2] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Ion mobility separation is becoming an integral part in mass spectrometry-based proteomics. Here we describe the use of a trapped ion mobility-quadrupole time-of-flight (TIMS-QTOF) mass spectrometer for high-throughput label-free quantification with data-independent acquisition. The parallel accumulation-serial fragmentation (PASEF) operation mode positions the mass-selecting quadrupole as a function of the TIMS separation, which allows highly efficient data-independent acquisition schemes (dia-PASEF), but also increases complexity in the method design. We provide a step-by-step protocol for instrument setup, method design, data acquisition and ion mobility-aware, library-based data analysis with Spectronaut. We highlight key acquisition parameters and illustrate their optimization for short gradients. Using the EvosepOne liquid chromatography system, we demonstrate expected results for the analysis of a human cancer cell line at a throughput of 60 samples per day, leading to the quantification of about 6000 protein groups with very high reproducibility. Importantly, the protocol can be readily adapted to other gradients and sample types such as modified peptides.
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Affiliation(s)
- Patricia Skowronek
- Department Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany
| | - Florian Meier
- Department Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany. .,Functional Proteomics, Jena University Hospital, Jena, Germany.
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30
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Purves RW, Souster K, West M, Huda AM, Fisher CME, Belford MW, Shurmer BO. Improved Thyreostatic Drug Detection in Animal Tissues Using Liquid Chromatography-High-Field Asymmetric Waveform Ion Mobility Spectrometry-Mass Spectrometry. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2022; 70:4785-4791. [PMID: 35060701 DOI: 10.1021/acs.jafc.1c06937] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Thyreostatic drugs (thyreostats) interfere with thyroid function and have been used illegally in animals slaughtered for food. Thyreostat use leads to poorer quality meat, and the drug residues can cause adverse effects in humans. These drugs, with the exception of thiouracil, do not occur naturally and require sensitive methodologies for their detection in animal tissues. Because thyreostats are low-molecular-weight polar analytes, liquid chromatography-mass spectrometry (LC-MS) is typically used for detection and, in particular, triple quadrupole mass spectrometry with selective reaction monitoring (i.e., LC-SRM). However, LC-SRM thyreostat methods suffer from chemical background noise and endogenous interferences arising from the complex tissue matrix. An improved high-field asymmetric waveform ion mobility spectrometry interface (FAIMS Pro), which separates ions based on differential ion mobility, was combined with LC-SRM to minimize these interferences. Using the same samples and conditions, LC-FAIMS-SRM showed improvements in the signal-to-noise ratio (S/N) of up to 50 times compared with our validated LC-SRM method. In addition, wider linear ranges, including substantial improvements in the lower limit of quantification (approximately an order of magnitude for tapazole and methylthiouracil), were observed with LC-FAIMS-SRM.
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Affiliation(s)
- Randy W Purves
- Centre for Veterinary Drug Residues, Canadian Food Inspection Agency, Saskatoon, Saskatchewan S7N 2R3, Canada
| | - Kim Souster
- Centre for Veterinary Drug Residues, Canadian Food Inspection Agency, Saskatoon, Saskatchewan S7N 2R3, Canada
| | - Michelle West
- Centre for Veterinary Drug Residues, Canadian Food Inspection Agency, Saskatoon, Saskatchewan S7N 2R3, Canada
| | - Azhar M Huda
- Centre for Veterinary Drug Residues, Canadian Food Inspection Agency, Saskatoon, Saskatchewan S7N 2R3, Canada
| | - Caleb M E Fisher
- Centre for Veterinary Drug Residues, Canadian Food Inspection Agency, Saskatoon, Saskatchewan S7N 2R3, Canada
| | - Michael W Belford
- Thermo Fisher Scientific, 355 River Oaks Parkway, San Jose, California 95134, United States
| | - Bryn O Shurmer
- Centre for Veterinary Drug Residues, Canadian Food Inspection Agency, Saskatoon, Saskatchewan S7N 2R3, Canada
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31
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Abstract
Proteins are the molecular effectors of the information encoded in the genome. Proteomics aims at understanding the molecular functions of proteins in their biological context. In contrast to transcriptomics and genomics, the study of proteomes provides deeper insight into the dynamic regulatory layers encoded at the protein level, such as posttranslational modifications, subcellular localization, cell signaling, and protein-protein interactions. Currently, mass spectrometry (MS)-based proteomics is the technology of choice for studying proteomes at a system-wide scale, contributing to clinical biomarker discovery and fundamental molecular biology. MS technologies are continuously being developed to fulfill the requirements of speed, resolution, and quantitative accuracy, enabling the acquisition of comprehensive proteomes. In this review, we present how MS technology and acquisition methods have evolved to meet the requirements of cutting-edge proteomics research, which is describing the human proteome and its dynamic posttranslational modifications with unprecedented depth. Finally, we provide a perspective on studying proteomes at single-cell resolution. Expected final online publication date for the Annual Review of Genomics and Human Genetics, Volume 23 is October 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.
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Affiliation(s)
- Ana Martinez-Val
- Novo Nordisk Foundation Center for Protein Research, Proteomics Program, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark;
| | - Ulises H Guzmán
- Novo Nordisk Foundation Center for Protein Research, Proteomics Program, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark;
| | - Jesper V Olsen
- Novo Nordisk Foundation Center for Protein Research, Proteomics Program, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark;
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32
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Sinn L, Giese SH, Stuiver M, Rappsilber J. Leveraging Parameter Dependencies in High-Field Asymmetric Waveform Ion-Mobility Spectrometry and Size Exclusion Chromatography for Proteome-wide Cross-Linking Mass Spectrometry. Anal Chem 2022; 94:4627-4634. [PMID: 35276035 PMCID: PMC8943524 DOI: 10.1021/acs.analchem.1c04373] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Accepted: 12/21/2021] [Indexed: 11/29/2022]
Abstract
Ion-mobility spectrometry shows great promise to tackle analytically challenging research questions by adding another separation dimension to liquid chromatography-mass spectrometry. The understanding of how analyte properties influence ion mobility has increased through recent studies, but no clear rationale for the design of customized experimental settings has emerged. Here, we leverage machine learning to deepen our understanding of field asymmetric waveform ion-mobility spectrometry for the analysis of cross-linked peptides. Knowing that predominantly m/z and then the size and charge state of an analyte influence the separation, we found ideal compensation voltages correlating with the size exclusion chromatography fraction number. The effect of this relationship on the analytical depth can be substantial as exploiting it allowed us to almost double unique residue pair detections in a proteome-wide cross-linking experiment. Other applications involving liquid- and gas-phase separation may also benefit from considering such parameter dependencies.
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Affiliation(s)
- Ludwig
R. Sinn
- Bioanalytics,
Institute of Biotechnology, Technische Universität
Berlin, 13355 Berlin, Germany
| | - Sven H. Giese
- Bioanalytics,
Institute of Biotechnology, Technische Universität
Berlin, 13355 Berlin, Germany
- Data
Analytics and Computational Statistics, Hasso Plattner Institute for Digital Engineering, 14482 Potsdam, Germany
- Digital
Engineering Faculty, University of Potsdam, 14469 Potsdam, Germany
| | - Marchel Stuiver
- Bioanalytics,
Institute of Biotechnology, Technische Universität
Berlin, 13355 Berlin, Germany
| | - Juri Rappsilber
- Bioanalytics,
Institute of Biotechnology, Technische Universität
Berlin, 13355 Berlin, Germany
- Wellcome
Centre for Cell Biology, School of Biological Sciences, University of Edinburgh, Edinburgh EH9 3BF, U.K.
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33
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Wippel HH, Chavez JD, Tang X, Bruce JE. Quantitative interactome analysis with chemical cross-linking and mass spectrometry. Curr Opin Chem Biol 2022; 66:102076. [PMID: 34393043 PMCID: PMC8837725 DOI: 10.1016/j.cbpa.2021.06.011] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Revised: 06/17/2021] [Accepted: 06/23/2021] [Indexed: 01/03/2023]
Abstract
Structural plasticity and dynamic protein-protein interactions are critical determinants of protein function within living systems. Quantitative chemical cross-linking with mass spectrometry (qXL-MS) is an emerging technology able to provide information on changes in protein conformations and interactions. Importantly, qXL-MS is applicable to complex biological systems, including living cells and tissues, thereby providing insights into proteins within their native environments. Here, we present an overview of recent technological developments and applications involving qXL-MS, including design and synthesis of isotope-labeled cross-linkers, development of new liquid chromatography-MS methodologies, and computational developments enabling interpretation of the data.
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Affiliation(s)
- Helisa H Wippel
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Juan D Chavez
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Xiaoting Tang
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - James E Bruce
- Department of Genome Sciences, University of Washington, Seattle, WA, USA.
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34
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Pfeiffer CT, Paulo JA, Gygi SP, Rockman HA. Proximity labeling for investigating protein-protein interactions. Methods Cell Biol 2022; 169:237-266. [PMID: 35623704 PMCID: PMC10782847 DOI: 10.1016/bs.mcb.2021.12.006] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
The study of protein complexes and protein-protein interactions is of great importance due to their fundamental roles in cellular function. Proximity labeling, often coupled with mass spectrometry, has become a powerful and versatile tool for studying protein-protein interactions by enriching and identifying proteins in the vicinity of a specified protein-of-interest. Here, we describe and compare traditional approaches to investigate protein-protein interactions to current day state-of-the-art proximity labeling methods. We focus on the wide array of proximity labeling strategies and underscore studies using diverse model systems to address numerous biological questions. In addition, we highlight current advances in mass spectrometry-based technology that exhibit promise in improving the depth and breadth of the data acquired in proximity labeling experiments. In all, we show the diversity of proximity labeling strategies and emphasize the broad range of applications and biological inquiries that can be addressed using this technology.
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Affiliation(s)
- Conrad T Pfeiffer
- Department of Medicine, Duke University Medical Center, Durham, NC, United States
| | - Joao A Paulo
- Department of Cell Biology, Harvard Medical School, Boston, MA, United States
| | - Steven P Gygi
- Department of Cell Biology, Harvard Medical School, Boston, MA, United States
| | - Howard A Rockman
- Department of Medicine, Duke University Medical Center, Durham, NC, United States; Department of Cell Biology, Duke University Medical Center, Durham, NC, United States.
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35
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Ang CS, Sacharz J, Leeming MG, Nie S, Varshney S, Scott NE, Williamson NA. Getting more out of FLAG-Tag co-immunoprecipitation mass spectrometry experiments using FAIMS. J Proteomics 2022; 254:104473. [PMID: 34990820 DOI: 10.1016/j.jprot.2021.104473] [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: 07/25/2021] [Revised: 12/15/2021] [Accepted: 12/29/2021] [Indexed: 10/19/2022]
Abstract
Co-immunoprecipitation of proteins coupled to mass spectrometry is critical for the understanding of protein interaction networks. In instances where a suitable antibody is not available, it is common to graft synthetic tags onto a target protein sequence thereby allowing the use of commercially available antibodies for affinity purification. A common approach is through FLAG-Tag co-immunoprecipitation. To allow the selective elution of protein complexes, competitive displacement using a large molar excess of the tag peptides is often carried out. Yet, this creates downstream challenges for the mass spectrometry analysis due to the presence of large quantities of these peptides. Here, we demonstrate that Field Asymmetric Ion Mobility Spectrometry (FAIMS), a gas phase ion separation device prior to mass spectrometry analysis can be applied to FLAG-Tag co-immunoprecipitation experiments to increase the depth of protein coverage. By excluding these abundant tag peptides, we were able to observe deeper coverage of interacting proteins and as a result, deeper biological insights, without the need for additional sample handling or altering sample preparation protocols. SIGNIFICANCE: We have shown that application of FAIMS separation in the gas phase can increase the proteome coverage of Flag-Tagged co-immunoprecipitation mass spectrometry experiments versus one without FAIMS. We were able to observe deeper coverage of interacting proteins and as a result, deeper biological insights, without additional sample handling, fractionation, machine run time or modifying the sample preparation protocol.
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Affiliation(s)
- Ching-Seng Ang
- Bio21 Mass Spectrometry and Proteomics Facility, The University of Melbourne, Parkville, Victoria 3052, Australia.
| | - Joanna Sacharz
- Department of Biochemistry and Molecular Biology, Bio21 Molecular Science and Biotechnology Institute, University of Melbourne, Parkville, 3052, Victoria, Australia
| | - Michael G Leeming
- Bio21 Mass Spectrometry and Proteomics Facility, The University of Melbourne, Parkville, Victoria 3052, Australia
| | - Shuai Nie
- Bio21 Mass Spectrometry and Proteomics Facility, The University of Melbourne, Parkville, Victoria 3052, Australia
| | - Swati Varshney
- Bio21 Mass Spectrometry and Proteomics Facility, The University of Melbourne, Parkville, Victoria 3052, Australia
| | - Nichollas E Scott
- Department of Microbiology and Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne 3000, Australia
| | - Nicholas A Williamson
- Bio21 Mass Spectrometry and Proteomics Facility, The University of Melbourne, Parkville, Victoria 3052, Australia.
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36
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Eckert S, Chang YC, Bayer FP, The M, Kuhn PH, Weichert W, Kuster B. Evaluation of Disposable Trap Column nanoLC-FAIMS-MS/MS for the Proteomic Analysis of FFPE Tissue. J Proteome Res 2021; 20:5402-5411. [PMID: 34735149 DOI: 10.1021/acs.jproteome.1c00695] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Proteomic biomarker discovery using formalin-fixed paraffin-embedded (FFPE) tissue requires robust workflows to support the analysis of large cohorts of patient samples. It also requires finding a reasonable balance between achieving a high proteomic depth and limiting the overall analysis time. To this end, we evaluated the merits of online coupling of single-use disposable trap column nanoflow liquid chromatography, high-field asymmetric-waveform ion-mobility spectrometry (FAIMS), and tandem mass spectrometry (nLC-FAIMS-MS/MS). The data show that ≤600 ng of peptide digest should be loaded onto the chromatographic part of the system. Careful characterization of the FAIMS settings enabled the choice of optimal combinations of compensation voltages (CVs) as a function of the employed LC gradient time. We found nLC-FAIMS-MS/MS to be on par with StageTip-based off-line basic pH reversed-phase fractionation in terms of proteomic depth and reproducibility of protein quantification (coefficient of variation ≤15% for 90% of all proteins) but requiring 50% less sample and substantially reducing sample handling. Using FFPE materials from the lymph node, lung, and prostate tissue as examples, we show that nLC-FAIMS-MS/MS can identify 5000-6000 proteins from the respective tissue within a total of 3 h of analysis time.
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Affiliation(s)
- Stephan Eckert
- Chair of Proteomics and Bioanalytics, Technical University of Munich (TUM), Freising 85354, Germany.,Institute of Pathology, Technical University of Munich (TUM), Munich 81675, Germany.,German Cancer Consortium (DKTK), Partner-Site Munich and German Cancer Research Center (DKFZ), Heidelberg 69120, Germany
| | - Yun-Chien Chang
- Chair of Proteomics and Bioanalytics, Technical University of Munich (TUM), Freising 85354, Germany
| | - Florian P Bayer
- Chair of Proteomics and Bioanalytics, Technical University of Munich (TUM), Freising 85354, Germany
| | - Matthew The
- Chair of Proteomics and Bioanalytics, Technical University of Munich (TUM), Freising 85354, Germany
| | - Peer-Hendrik Kuhn
- Institute of Pathology, Technical University of Munich (TUM), Munich 81675, Germany.,German Cancer Consortium (DKTK), Partner-Site Munich and German Cancer Research Center (DKFZ), Heidelberg 69120, Germany
| | - Wilko Weichert
- Institute of Pathology, Technical University of Munich (TUM), Munich 81675, Germany.,German Cancer Consortium (DKTK), Partner-Site Munich and German Cancer Research Center (DKFZ), Heidelberg 69120, Germany
| | - Bernhard Kuster
- Chair of Proteomics and Bioanalytics, Technical University of Munich (TUM), Freising 85354, Germany.,German Cancer Consortium (DKTK), Partner-Site Munich and German Cancer Research Center (DKFZ), Heidelberg 69120, Germany.,Bavarian Biomolecular Mass Spectrometry Center (BayBioMS), Technical University of Munich (TUM), Freising 85354, Germany
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37
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Liu X, Fields R, Schweppe DK, Paulo JA. Strategies for mass spectrometry-based phosphoproteomics using isobaric tagging. Expert Rev Proteomics 2021; 18:795-807. [PMID: 34652972 DOI: 10.1080/14789450.2021.1994390] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
INTRODUCTION Protein phosphorylation is a primary mechanism of signal transduction in cellular systems. Isobaric tagging can be used to investigate alterations in phosphorylation events in sample multiplexing experiments where quantification extends across all conditions. As such, innovations in tandem mass tag methods can facilitate the expansion of the depth and breadth of phosphoproteomic analyses. AREAS COVERED This review discusses the current state of tandem mass tag-centric phosphoproteomics and highlights advances in reagent chemistry, instrumentation, data acquisition, and data analysis. We stress that approaches for phosphoproteomic investigations require high-specificity enrichment, sensitive detection, and accurate phosphorylation site localization. EXPERT OPINION Tandem mass tag-centric phosphoproteomics will continue to be an important conduit for our understanding of signal transduction in living organisms. We anticipate that progress in phosphopeptide enrichment methodologies, enhancements in instrumentation and data acquisition technologies, and further refinements in analytical strategies will be key to the discovery of biologically relevant findings from phosphoproteomics studies.
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Affiliation(s)
- Xinyue Liu
- Department of Cell Biology, Harvard Medical School, Boston, USA
| | - Rose Fields
- Department of Genome Sciences, University of Washington, Seattle, USA
| | - Devin K Schweppe
- Department of Genome Sciences, University of Washington, Seattle, USA
| | - Joao A Paulo
- Department of Cell Biology, Harvard Medical School, Boston, USA
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38
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Identification of tumor antigens with immunopeptidomics. Nat Biotechnol 2021; 40:175-188. [PMID: 34635837 DOI: 10.1038/s41587-021-01038-8] [Citation(s) in RCA: 94] [Impact Index Per Article: 31.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2020] [Accepted: 07/29/2021] [Indexed: 12/18/2022]
Abstract
The identification of actionable tumor antigens is indispensable for the development of several cancer immunotherapies, including T cell receptor-transduced T cells and patient-specific mRNA or peptide vaccines. Most known tumor antigens have been identified through extensive molecular characterization and are considered canonical if they derive from protein-coding regions of the genome. By eluting human leukocyte antigen-bound peptides from tumors and subjecting these to mass spectrometry analysis, the peptides can be identified by matching the resulting spectra against reference databases. Recently, mass-spectrometry-based immunopeptidomics has enabled the discovery of noncanonical antigens-antigens derived from sequences outside protein-coding regions or generated by noncanonical antigen-processing mechanisms. Coupled with transcriptomics and ribosome profiling, this method enables the identification of thousands of noncanonical peptides, of which a substantial fraction may be detected exclusively in tumors. Spectral matching against the immense noncanonical reference may generate false positives. However, sensitive mass spectrometry, analytical validation and advanced bioinformatics solutions are expected to uncover the full landscape of presented antigens and clinically relevant targets.
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39
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Gutierrez-Reyes CD, Jiang P, Atashi M, Bennett A, Yu A, Peng W, Zhong J, Mechref Y. Advances in mass spectrometry-based glycoproteomics: An update covering the period 2017-2021. Electrophoresis 2021; 43:370-387. [PMID: 34614238 DOI: 10.1002/elps.202100188] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Revised: 08/30/2021] [Accepted: 09/25/2021] [Indexed: 12/23/2022]
Abstract
Protein glycosylation is one of the most common posttranslational modifications, and plays an essential role in a wide range of biological processes such as immune response, intercellular signaling, inflammation, host-pathogen interaction, and protein stability. Glycoproteomics is a proteomics subfield dedicated to identifying and characterizing the glycans and glycoproteins in a given cell or tissue. Aberrant glycosylation has been associated with various diseases such as Alzheimer's disease, viral infections, inflammation, immune deficiencies, congenital disorders, and cancers. However, glycoproteomic analysis remains challenging because of the low abundance, site-specific heterogeneity, and poor ionization efficiency of glycopeptides during LC-MS analyses. Therefore, the development of sensitive and accurate approaches to efficiently characterize protein glycosylation is crucial. Methods such as metabolic labeling, enrichment, and derivatization of glycopeptides, coupled with different mass spectrometry techniques and bioinformatics tools, have been developed to achieve sophisticated levels of quantitative and qualitative analyses of glycoproteins. This review attempts to update the recent developments in the field of glycoproteomics reported between 2017 and 2021.
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Affiliation(s)
| | - Peilin Jiang
- Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, Texas, USA
| | - Mojgan Atashi
- Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, Texas, USA
| | - Andrew Bennett
- Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, Texas, USA
| | - Aiying Yu
- Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, Texas, USA
| | - Wenjing Peng
- Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, Texas, USA
| | - Jieqiang Zhong
- Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, Texas, USA
| | - Yehia Mechref
- Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, Texas, USA
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40
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Meier F, Park MA, Mann M. Trapped Ion Mobility Spectrometry and Parallel Accumulation-Serial Fragmentation in Proteomics. Mol Cell Proteomics 2021; 20:100138. [PMID: 34416385 PMCID: PMC8453224 DOI: 10.1016/j.mcpro.2021.100138] [Citation(s) in RCA: 67] [Impact Index Per Article: 22.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Revised: 08/05/2021] [Accepted: 08/11/2021] [Indexed: 12/14/2022] Open
Abstract
Recent advances in efficiency and ease of implementation have rekindled interest in ion mobility spectrometry, a technique that separates gas phase ions by their size and shape and that can be hybridized with conventional LC and MS. Here, we review the recent development of trapped ion mobility spectrometry (TIMS) coupled to TOF mass analysis. In particular, the parallel accumulation-serial fragmentation (PASEF) operation mode offers unique advantages in terms of sequencing speed and sensitivity. Its defining feature is that it synchronizes the release of ions from the TIMS device with the downstream selection of precursors for fragmentation in a TIMS quadrupole TOF configuration. As ions are compressed into narrow ion mobility peaks, the number of peptide fragment ion spectra obtained in data-dependent or targeted analyses can be increased by an order of magnitude without compromising sensitivity. Taking advantage of the correlation between ion mobility and mass, the PASEF principle also multiplies the efficiency of data-independent acquisition. This makes the technology well suited for rapid proteome profiling, an increasingly important attribute in clinical proteomics, as well as for ultrasensitive measurements down to single cells. The speed and accuracy of TIMS and PASEF also enable precise measurements of collisional cross section values at the scale of more than a million data points and the development of neural networks capable of predicting them based only on peptide sequences. Peptide collisional cross section values can differ for isobaric sequences or positional isomers of post-translational modifications. This additional information may be leveraged in real time to direct data acquisition or in postprocessing to increase confidence in peptide identifications. These developments make TIMS quadrupole TOF PASEF a powerful and expandable platform for proteomics and beyond.
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Affiliation(s)
- Florian Meier
- Department Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany; Functional Proteomics, Jena University Hospital, Jena, Germany.
| | - Melvin A Park
- Bruker Daltonics Inc, Billerica, Massachusetts, USA.
| | - Matthias Mann
- Department Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany.
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41
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Klaeger S, Apffel A, Clauser KR, Sarkizova S, Oliveira G, Rachimi S, Le PM, Tarren A, Chea V, Abelin JG, Braun DA, Ott PA, Keshishian H, Hacohen N, Keskin DB, Wu CJ, Carr SA. Optimized liquid and gas phase fractionation increases HLA-peptidome coverage for primary cell and tissue samples. Mol Cell Proteomics 2021; 20:100133. [PMID: 34391888 PMCID: PMC8724927 DOI: 10.1016/j.mcpro.2021.100133] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Revised: 07/08/2021] [Accepted: 08/01/2021] [Indexed: 12/20/2022] Open
Abstract
Mass spectrometry is the most effective method to directly identify peptides presented on HLA molecules. However, current standard approaches often use 500 million or more cells as input to achieve high coverage of the immunopeptidome and therefore these methods are not compatible with the often limited amounts of tissue available from clinical tumor samples. Here, we evaluated microscaled basic reversed-phase fractionation to separate HLA peptide samples off-line followed by ion mobility coupled to LC-MS/MS for analysis. The combination of these two separation methods enabled identification of 20% to 50% more peptides compared to samples analyzed without either prior fractionation or use of ion mobility alone. We demonstrate coverage of HLA immunopeptidomes with up to 8,107 distinct peptides starting with as few as 100 million cells. The increased sensitivity obtained using our methods can provide data useful to improve HLA binding prediction algorithms as well as to enable detection of clinically relevant epitopes such as neoantigens.
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Affiliation(s)
- Susan Klaeger
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.
| | - Annie Apffel
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | | | | | - Giacomo Oliveira
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | | | - Phuong M Le
- Translational Immunogenomics Laboratory, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Anna Tarren
- Translational Immunogenomics Laboratory, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Vipheaviny Chea
- Translational Immunogenomics Laboratory, Dana-Farber Cancer Institute, Boston, MA, USA
| | | | - David A Braun
- Broad Institute of MIT and Harvard, Cambridge, MA, USA; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA; Harvard Medical School, Boston, MA, USA; Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Patrick A Ott
- Broad Institute of MIT and Harvard, Cambridge, MA, USA; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA; Harvard Medical School, Boston, MA, USA; Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | | | - Nir Hacohen
- Broad Institute of MIT and Harvard, Cambridge, MA, USA; Massachusetts General Hospital Cancer Center, Boston, MA, USA
| | - Derin B Keskin
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA; Translational Immunogenomics Laboratory, Dana-Farber Cancer Institute, Boston, MA, USA; Health Informatics Lab, Metropolitan College, Boston University, Boston, MA, USA
| | - Catherine J Wu
- Broad Institute of MIT and Harvard, Cambridge, MA, USA; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA; Harvard Medical School, Boston, MA, USA; Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Steven A Carr
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.
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42
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Sharma R, Lunge A, Mangla N, Agarwal N. Proteomic Landscape of a Drug-Tolerant Persister Subpopulation of Mycobacterium tuberculosis. J Proteome Res 2021; 20:4415-4426. [PMID: 34343006 DOI: 10.1021/acs.jproteome.1c00348] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Persisters are a subpopulation of bacteria that resist killing by antibiotics, even though they are genetically similar to their drug-susceptible counterpart. Like in several other bacteria, persisters are also reported in the human pathogen Mycobacterium tuberculosis (Mtb). Stochastic formation of Mtb persisters with a high level of antimicrobial tolerance set the stage for subsequent multidrug-resistant mutations. Despite significant advancement in our understanding, much remains to be learnt about the biology of this drug-recalcitrant bacterial subpopulation. Most of the information pertaining to the metabolic evolution required for emergence of drug tolerance in tuberculosis (TB) pathogens has come from transcriptional, metabolomic, and mutagenesis studies. Since proteins are the key functional molecules regulating the majority of metabolic activities in the cell, investigation of the whole-cell protein expression profile will further provide valuable insights into the physiology of Mtb persisters. We performed a quantitative proteomic analysis of Mtb H37Rv cultured under an in vitro persistence model to identify the proteomic profile of the phenotypic drug-tolerant bacterial population. Our study reveals that proteins related to intermediary metabolism and respiration, cell-wall and cell processes, lipid metabolism, information pathways, and virulence, detoxification and adaptation functional categories are primarily modulated in the persister subpopulation. Further, we demonstrate that various surface-localized mycobacterial membrane protein large (MmpL) proteins, which exhibit a high level of expression in Mtb persisters, are crucial for the mycobacterial survival during persistent growth state. A drug-induced persister subpopulation of Mtb exhibit various differentially regulated proteins that might be critical in mitigating the antimicrobial effect of drugs and can be further explored to develop novel anti-TB agents. The peptide identifications and tandem mass spectra (MS/MS) have been deposited to the ProteomeXchange Consortium via the PRIDE partner repository with the dataset identifier PXD013621.
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Affiliation(s)
- Rishabh Sharma
- NCR Biotech Science Cluster, Translational Health Science and Technology Institute, 3rd Milestone, Faridabad-Gurgaon Expressway, Faridabad, 121001 Haryana, India
| | - Ajitesh Lunge
- NCR Biotech Science Cluster, Translational Health Science and Technology Institute, 3rd Milestone, Faridabad-Gurgaon Expressway, Faridabad, 121001 Haryana, India.,Jawaharlal Nehru University, New Mehrauli Road, New Delhi, 110067 Delhi, India
| | - Nikita Mangla
- NCR Biotech Science Cluster, Translational Health Science and Technology Institute, 3rd Milestone, Faridabad-Gurgaon Expressway, Faridabad, 121001 Haryana, India.,Jawaharlal Nehru University, New Mehrauli Road, New Delhi, 110067 Delhi, India
| | - Nisheeth Agarwal
- NCR Biotech Science Cluster, Translational Health Science and Technology Institute, 3rd Milestone, Faridabad-Gurgaon Expressway, Faridabad, 121001 Haryana, India
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43
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Winkels K, Koudelka T, Tholey A. Quantitative Top-Down Proteomics by Isobaric Labeling with Thiol-Directed Tandem Mass Tags. J Proteome Res 2021; 20:4495-4506. [PMID: 34338531 DOI: 10.1021/acs.jproteome.1c00460] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
While identification-centric (qualitative) top-down proteomics (TDP) has seen rapid progress in the recent past, the quantification of intact proteoforms within complex proteomes is still challenging. The by far mostly applied approach is label-free quantification, which, however, provides limited multiplexing capacity, and its use in combination with multidimensional separation is encountered with a number of problems. Isobaric labeling, which is a standard quantification approach in bottom-up proteomics, circumvents these limitations. Here, we introduce the application of thiol-directed isobaric labeling for quantitative TDP. For this purpose, we analyzed the labeling efficiency and optimized tandem mass spectrometry parameters for optimal backbone fragmentation for identification and reporter ion formation for quantification. Two different separation schemes, gel-eluted liquid fraction entrapment electrophoresis × liquid chromatography-mass spectrometry (LC-MS) and high/low-pH LC-MS, were employed for the analyses of either Escherichia coli (E. coli) proteomes or combined E. coli/yeast samples (two-proteome interference model) to study potential ratio compression. While the thiol-directed labeling introduces a bias in the quantifiable proteoforms, being restricted to Cys-containing proteoforms, our approach showed excellent accuracy in quantification, which is similar to that achievable in bottom-up proteomics. For example, 876 proteoforms could be quantified with high accuracy in an E. coli lysate. The LC-MS data were deposited to the ProteomeXchange with the dataset identifier PXD026310.
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Affiliation(s)
- Konrad Winkels
- Systematic Proteome Research & Bioanalytics, Institute for Experimental Medicine, Christian-Albrechts-Universität zu Kiel, Kiel 24105, Germany
| | - Tomas Koudelka
- Systematic Proteome Research & Bioanalytics, Institute for Experimental Medicine, Christian-Albrechts-Universität zu Kiel, Kiel 24105, Germany
| | - Andreas Tholey
- Systematic Proteome Research & Bioanalytics, Institute for Experimental Medicine, Christian-Albrechts-Universität zu Kiel, Kiel 24105, Germany
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44
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Pfammatter S, Wu Z, Bonneil E, Bailey DJ, Prasad S, Belford M, Rochon J, Picard P, Lacoursière J, Dunyach JJ, Thibault P. Integration of Segmented Ion Fractionation and Differential Ion Mobility on a Q-Exactive Hybrid Quadrupole Orbitrap Mass Spectrometer. Anal Chem 2021; 93:9817-9825. [PMID: 34213903 DOI: 10.1021/acs.analchem.1c01376] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
High-field asymmetric waveform ion mobility spectrometry (FAIMS) has gained popularity in the proteomics field for its capability to improve mass spectrometry sensitivity and to decrease peptide co-fragmentation. The recent implementation of FAIMS on Tribrid Orbitrap instruments enhanced proteome coverage and increased the precision of quantitative measurements. However, the FAIMS interface has not been available on older generation Orbitrap mass spectrometers such as the Q-Exactive. Here, we report the integration of the FAIMS Pro device with embedded electrical and gas connections to a Q-Exactive HF mass spectrometer. Proteomic experiments performed on HeLa tryptic digests with the modified mass spectrometer improved signal to noise and reduced interfering ions, resulting in an increase of 42% in peptide identification. FAIMS was also combined with segmented ion fractionation where 100 m/z windows were obtained in turn to further increase the depth of proteome analysis by reducing the proportion of chimeric MS/MS spectra from 50 to 27%. We also demonstrate the application of FAIMS to improve quantitative measurements when using isobaric peptide labeling. FAIMS experiments performed on a two-proteome model revealed that FAIMS Pro provided a 65% improvement in quantification accuracy compared to conventional LC-MS/MS experiments.
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Affiliation(s)
- Sibylle Pfammatter
- Institute for Research in Immunology and Cancer (IRIC)Université de Montréal, Montréal, Quebec H3C 3J7, Canada.,Department of Chemistry, Université de Montréal, Montréal, Quebec H3C 3J7, Canada
| | - Zhaoguan Wu
- Institute for Research in Immunology and Cancer (IRIC)Université de Montréal, Montréal, Quebec H3C 3J7, Canada.,Department of Chemistry, Université de Montréal, Montréal, Quebec H3C 3J7, Canada
| | - Eric Bonneil
- Institute for Research in Immunology and Cancer (IRIC)Université de Montréal, Montréal, Quebec H3C 3J7, Canada
| | - Derek J Bailey
- ThermoFisher Scientific, San Jose, California 95134, United States
| | - Satendra Prasad
- ThermoFisher Scientific, San Jose, California 95134, United States
| | - Michael Belford
- ThermoFisher Scientific, San Jose, California 95134, United States
| | | | - Pierre Picard
- Phytronix Technologies, Québec, Quebec G1P 2J7, Canada
| | | | | | - Pierre Thibault
- Institute for Research in Immunology and Cancer (IRIC)Université de Montréal, Montréal, Quebec H3C 3J7, Canada.,Department of Chemistry, Université de Montréal, Montréal, Quebec H3C 3J7, Canada
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45
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Popow O, Liu X, Haigis KM, Gygi SP, Paulo JA. A Compendium of Murine (Phospho)Peptides Encompassing Different Isobaric Labeling and Data Acquisition Strategies. J Proteome Res 2021; 20:3678-3688. [PMID: 34043369 PMCID: PMC8254770 DOI: 10.1021/acs.jproteome.1c00247] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Targeted mass spectrometry-based assays typically rely on previously acquired large data sets for peptide target selection. Such repositories are widely available for unlabeled peptides. However, they are less common for isobaric tagged peptides. Here we have assembled two series of six data sets originating from a mouse embryonic fibroblast cell line (NIH/3T3). One series is of peptides derived from a tryptic digest of a whole cell proteome and a second from enriched phosphopeptides. These data sets encompass three labeling approaches (unlabeled, TMT11-labeled, and TMTpro16-labeled) and two data acquisition strategies (ion trap MS2 with and without FAIMS-based gas phase separation). We identified a total of 1 509 526 peptide-spectrum matches which covered 11 482 proteins from the whole cell proteome tryptic digest, and 188 849 phosphopeptides from the phosphopeptide enrichment. The data sets were of similar depth, and while overlap across data sets was modest, protein overlap was high, thus reinforcing the comprehensiveness of these data sets. The data also supported FAIMS as a means to increase data set depth. These data sets provide a rich resource of peptides that may be used as starting points for targeted assays. Future data sets may be compiled for any genome-sequenced organism using the technologies and strategies highlighted herein. The data have been deposited in the ProteomeXchange Consortium with data set identifier PXD024298.
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Affiliation(s)
- Olesja Popow
- Department of Cancer Biology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts 02115, United States
| | - Xinyue Liu
- Department of Cell Biology, Harvard Medical School, Boston, Massachusetts 02115, United States
| | - Kevin M Haigis
- Department of Cancer Biology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts 02115, United States
| | - Steven P Gygi
- Department of Cell Biology, Harvard Medical School, Boston, Massachusetts 02115, United States
| | - Joao A Paulo
- Department of Cell Biology, Harvard Medical School, Boston, Massachusetts 02115, United States
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46
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Taylor HB, Klaeger S, Clauser KR, Sarkizova S, Weingarten-Gabbay S, Graham DB, Carr SA, Abelin JG. MS-Based HLA-II Peptidomics Combined With Multiomics Will Aid the Development of Future Immunotherapies. Mol Cell Proteomics 2021; 20:100116. [PMID: 34146720 PMCID: PMC8327157 DOI: 10.1016/j.mcpro.2021.100116] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Revised: 06/02/2021] [Accepted: 06/03/2021] [Indexed: 12/25/2022] Open
Abstract
Immunotherapies have emerged to treat diseases by selectively modulating a patient's immune response. Although the roles of T and B cells in adaptive immunity have been well studied, it remains difficult to select targets for immunotherapeutic strategies. Because human leukocyte antigen class II (HLA-II) peptides activate CD4+ T cells and regulate B cell activation, proliferation, and differentiation, these peptide antigens represent a class of potential immunotherapy targets and biomarkers. To better understand the molecular basis of how HLA-II antigen presentation is involved in disease progression and treatment, systematic HLA-II peptidomics combined with multiomic analyses of diverse cell types in healthy and diseased states is required. For this reason, MS-based innovations that facilitate investigations into the interplay between disease pathologies and the presentation of HLA-II peptides to CD4+ T cells will aid in the development of patient-focused immunotherapies.
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Affiliation(s)
- Hannah B Taylor
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
| | - Susan Klaeger
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
| | - Karl R Clauser
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
| | | | - Shira Weingarten-Gabbay
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA; Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts, USA
| | - Daniel B Graham
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA; Center for Computational and Integrative Biology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA; Department of Molecular Biology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Steven A Carr
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
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47
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Fang P, Ji Y, Silbern I, Viner R, Oellerich T, Pan KT, Urlaub H. Evaluation and Optimization of High-Field Asymmetric Waveform Ion-Mobility Spectrometry for Multiplexed Quantitative Site-Specific N-Glycoproteomics. Anal Chem 2021; 93:8846-8855. [PMID: 34133129 DOI: 10.1021/acs.analchem.1c00802] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
The heterogeneity and complexity of glycosylation hinder the depth of site-specific glycoproteomics analysis. High-field asymmetric-waveform ion-mobility spectrometry (FAIMS) has been shown to improve the scope of bottom-up proteomics. The benefits of FAIMS for quantitative N-glycoproteomics have not been investigated yet. In this work, we optimized FAIMS settings for N-glycopeptide identification, with or without the tandem mass tag (TMT) label. The optimized FAIMS approach significantly increased the identification of site-specific N-glycopeptides derived from the purified immunoglobulin M (IgM) protein or human lymphoma cells. We explored in detail the changes in FAIMS mobility caused by N-glycopeptides with different characteristics, including TMT labeling, charge state, glycan type, peptide sequence, glycan size, and precursor m/z. Importantly, FAIMS also improved multiplexed N-glycopeptide quantification, both with the standard MS2 acquisition method and with our recently developed Glyco-SPS-MS3 method. The combination of FAIMS and Glyco-SPS-MS3 methods provided the highest quantitative accuracy and precision. Our results demonstrate the advantages of FAIMS for improved mass spectrometry-based qualitative and quantitative N-glycoproteomics.
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Affiliation(s)
- Pan Fang
- Bioanalytical Mass Spectrometry Group, Max Planck Institute for Biophysical Chemistry, 37077 Göttingen, Germany
| | - Yanlong Ji
- Bioanalytical Mass Spectrometry Group, Max Planck Institute for Biophysical Chemistry, 37077 Göttingen, Germany
- Hematology/Oncology, Department of Medicine II, Johann Wolfgang Goethe University, 60590 Frankfurt am Main, Germany
- Frankfurt Cancer Institute, Goethe University, 60596, Frankfurt am Main, Germany
| | - Ivan Silbern
- Bioanalytical Mass Spectrometry Group, Max Planck Institute for Biophysical Chemistry, 37077 Göttingen, Germany
- Institute of Clinical Chemistry, University Medical Center Göttingen, 37075 Göttingen, Germany
| | - Rosa Viner
- Thermo Fisher Scientific, 95134 San Jose, California, United States
| | - Thomas Oellerich
- Hematology/Oncology, Department of Medicine II, Johann Wolfgang Goethe University, 60590 Frankfurt am Main, Germany
- Frankfurt Cancer Institute, Goethe University, 60596, Frankfurt am Main, Germany
- German Cancer Consortium/German Cancer Research Center, 69120 Heidelberg, Germany
| | - Kuan-Ting Pan
- Bioanalytical Mass Spectrometry Group, Max Planck Institute for Biophysical Chemistry, 37077 Göttingen, Germany
- Hematology/Oncology, Department of Medicine II, Johann Wolfgang Goethe University, 60590 Frankfurt am Main, Germany
- Frankfurt Cancer Institute, Goethe University, 60596, Frankfurt am Main, Germany
| | - Henning Urlaub
- Bioanalytical Mass Spectrometry Group, Max Planck Institute for Biophysical Chemistry, 37077 Göttingen, Germany
- Institute of Clinical Chemistry, University Medical Center Göttingen, 37075 Göttingen, Germany
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48
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Chang CH, Yeung D, Spicer V, Ogata K, Krokhin O, Ishihama Y. Sequence-Specific Model for Predicting Peptide Collision Cross Section Values in Proteomic Ion Mobility Spectrometry. J Proteome Res 2021; 20:3600-3610. [PMID: 34133192 DOI: 10.1021/acs.jproteome.1c00185] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
The contribution of peptide amino acid sequence to collision cross section values (CCS) has been investigated using a dataset of ∼134 000 peptides of four different charge states (1+ to 4+). The migration data were acquired using a two-dimensional liquid chromatography (LC)/trapped ion mobility spectrometry/quadrupole/time-of-flight mass spectrometry (MS) analysis of HeLa cell digests created using seven different proteases and was converted to CCS values. Following the previously reported modeling approaches using intrinsic size parameters (ISP), we extended this methodology to encode the position of individual residues within a peptide sequence. A generalized prediction model was built by dividing the dataset into eight groups (four charges for both tryptic/nontryptic peptides). Position-dependent ISPs were independently optimized for the eight subsets of peptides, resulting in prediction accuracy of ∼0.981 for the entire population of peptides. We find that ion mobility is strongly affected by the peptide's ability to solvate the positively charged sites. Internal positioning of polar residues and proline leads to decreased CCS values as they improve charge solvation; conversely, this ability decreases with increasing peptide charge due to electrostatic repulsion. Furthermore, higher helical propensity and peptide hydrophobicity result in a preferential formation of extended structures with higher than predicted CCS values. Finally, acidic/basic residues exhibit position-dependent ISP behavior consistent with electrostatic interaction with the peptide macrodipole, which affects the peptide helicity. The MS raw data files have been deposited with the ProteomeXchange Consortium via the jPOST partner repository (http://jpostdb.org) with the dataset identifiers PXD021440/JPST000959, PXD022800/JPST001017, and PXD026087/ JPST001176.
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Affiliation(s)
- Chih-Hsiang Chang
- Graduate School of Pharmaceutical Sciences, Kyoto University, Kyoto 606-8501, Japan
| | - Darien Yeung
- Department of Biochemistry and Medical Genetics, University of Manitoba, Winnipeg, Manitoba R3E 0J9, Canada
- Manitoba Centre for Proteomics and Systems Biology, University of Manitoba, Winnipeg, Manitoba R3E 3P4, Canada
- Department of Internal Medicine, University of Manitoba, Winnipeg, Manitoba R3E 3P4, Canada
| | - Victor Spicer
- Manitoba Centre for Proteomics and Systems Biology, University of Manitoba, Winnipeg, Manitoba R3E 3P4, Canada
| | - Kosuke Ogata
- Graduate School of Pharmaceutical Sciences, Kyoto University, Kyoto 606-8501, Japan
| | - Oleg Krokhin
- Department of Biochemistry and Medical Genetics, University of Manitoba, Winnipeg, Manitoba R3E 0J9, Canada
- Manitoba Centre for Proteomics and Systems Biology, University of Manitoba, Winnipeg, Manitoba R3E 3P4, Canada
- Department of Internal Medicine, University of Manitoba, Winnipeg, Manitoba R3E 3P4, Canada
- Department of Chemistry, University of Manitoba, 360 Parker Building, Winnipeg, Manitoba R3T 2N2, Canada
| | - Yasushi Ishihama
- Graduate School of Pharmaceutical Sciences, Kyoto University, Kyoto 606-8501, Japan
- Laboratory of Clinical and Analytical Chemistry, National Institute of Biomedical Innovation, Health and Nutrition, Ibaraki, Osaka 567-0085, Japan
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Multiplexed complexome profiling using tandem mass tags. BIOCHIMICA ET BIOPHYSICA ACTA-BIOENERGETICS 2021; 1862:148448. [PMID: 34015258 DOI: 10.1016/j.bbabio.2021.148448] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 01/04/2021] [Revised: 05/05/2021] [Accepted: 05/13/2021] [Indexed: 12/28/2022]
Abstract
Complexome profiling is a rapidly spreading, powerful technique to gain insight into the nature of protein complexes. It identifies and quantifies protein complexes separated into multiple fractions of increasing molecular mass using mass spectrometry-based, label-free bottom-up proteomics. Complexome profiling enables a sophisticated and thorough characterization of the composition, molecular mass, assembly, and interactions of protein complexes. However, in practice, its application is limited by the large number of samples it generates and the related time of mass spectrometry analyses. Here, we report an improved process workflow that implements tandem mass tags for multiplexing complexome profiling. This workflow substantially reduces the number of samples and measuring time without compromising protein identification or quantification reliability. In profiles from mitochondrial fractions of cells recovering from chloramphenicol treatment, tandem mass tags-multiplexed complexome profiling exhibited migration patterns of mature ATP synthase (complex V) and assembly intermediates that were consistent in composition and abundance with profiles obtained by the label-free approach. Reporter ion quantifications of proteins and complexes unaffected by the chloramphenicol treatment presented less variation in comparison to the label-free method. Incorporation of tandem mass tags enabled an efficient and robust complexome profiling analysis and may foster broader application for protein complex profiling in biomedical research and diagnostics.
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50
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Fulcher JM, Makaju A, Moore RJ, Zhou M, Bennett DA, De Jager PL, Qian WJ, Paša-Tolić L, Petyuk VA. Enhancing Top-Down Proteomics of Brain Tissue with FAIMS. J Proteome Res 2021; 20:2780-2795. [PMID: 33856812 PMCID: PMC8672206 DOI: 10.1021/acs.jproteome.1c00049] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
Proteomic investigations of Alzheimer's and Parkinson's disease have provided valuable insights into neurodegenerative disorders. Thus far, these investigations have largely been restricted to bottom-up approaches, hindering the degree to which one can characterize a protein's "intact" state. Top-down proteomics (TDP) overcomes this limitation; however, it is typically limited to observing only the most abundant proteoforms and of a relatively small size. Therefore, fractionation techniques are commonly used to reduce sample complexity. Here, we investigate gas-phase fractionation through high-field asymmetric waveform ion mobility spectrometry (FAIMS) within TDP. Utilizing a high complexity sample derived from Alzheimer's disease (AD) brain tissue, we describe how the addition of FAIMS to TDP can robustly improve the depth of proteome coverage. For example, implementation of FAIMS with external compensation voltage (CV) stepping at -50, -40, and -30 CV could more than double the mean number of non-redundant proteoforms, genes, and proteome sequence coverage compared to without FAIMS. We also found that FAIMS can influence the transmission of proteoforms and their charge envelopes based on their size. Importantly, FAIMS enabled the identification of intact amyloid beta (Aβ) proteoforms, including the aggregation-prone Aβ1-42 variant which is strongly linked to AD. Raw data and associated files have been deposited to the ProteomeXchange Consortium via the MassIVE data repository with data set identifier PXD023607.
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Affiliation(s)
- James M Fulcher
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99352, United States
| | - Aman Makaju
- Life Sciences Mass Spectrometry Unit, Thermo Fisher Scientific, San Jose, California 95134, United States
| | - Ronald J Moore
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99352, United States
| | - Mowei Zhou
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington 99354, United States
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois 60612, United States
| | - Philip L De Jager
- Department of Neurology, Center for Translational & Computational Neuroimmunology, Columbia University Medical Center, New York, New York 10032, United States
| | - Wei-Jun Qian
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99352, United States
| | - Ljiljana Paša-Tolić
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington 99354, United States
| | - Vladislav A Petyuk
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99352, United States
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