1
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Botticelli L, Bakhtina AA, Kaiser NK, Keller A, McNutt S, Bruce JE, Chu F. Chemical cross-linking and mass spectrometry enabled systems-level structural biology. Curr Opin Struct Biol 2024; 87:102872. [PMID: 38936319 PMCID: PMC11283951 DOI: 10.1016/j.sbi.2024.102872] [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: 04/06/2024] [Revised: 05/22/2024] [Accepted: 06/04/2024] [Indexed: 06/29/2024]
Abstract
Structural information on protein-protein interactions (PPIs) is essential for improved understanding of regulatory interactome networks that confer various physiological and pathological responses. Additionally, maladaptive PPIs constitute desirable therapeutic targets due to inherently high disease state specificity. Recent advances in chemical cross-linking strategies coupled with mass spectrometry (XL-MS) have positioned XL-MS as a promising technology to not only elucidate the molecular architecture of individual protein assemblies, but also to characterize proteome-wide PPI networks. Moreover, quantitative in vivo XL-MS provides a new capability for the visualization of cellular interactome dynamics elicited by drug treatments, disease states, or aging effects. The emerging field of XL-MS based complexomics enables unique insights on protein moonlighting and protein complex remodeling. These techniques provide complimentary information necessary for in-depth structural interactome studies to better comprehend how PPIs mediate function in living systems.
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Affiliation(s)
- Luke Botticelli
- Department of Molecular, Cellular, and Biomedical Sciences, University of New Hampshire, Durham, NH, USA
| | - Anna A Bakhtina
- Department of Genome Sciences, University of Washington, Seattle WA, USA
| | - Nathan K Kaiser
- Department of Genome Sciences, University of Washington, Seattle WA, USA
| | - Andrew Keller
- Department of Genome Sciences, University of Washington, Seattle WA, USA
| | - Seth McNutt
- Department of Molecular, Cellular, and Biomedical Sciences, University of New Hampshire, Durham, NH, USA
| | - James E Bruce
- Department of Genome Sciences, University of Washington, Seattle WA, USA.
| | - Feixia Chu
- Department of Molecular, Cellular, and Biomedical Sciences, University of New Hampshire, Durham, NH, USA.
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2
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Chen ZA, Rappsilber J. Protein structure dynamics by crosslinking mass spectrometry. Curr Opin Struct Biol 2023; 80:102599. [PMID: 37104977 DOI: 10.1016/j.sbi.2023.102599] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Revised: 03/22/2023] [Accepted: 03/27/2023] [Indexed: 04/29/2023]
Abstract
Crosslinking mass spectrometry captures protein structures in solution. The crosslinks reveal spatial proximities as distance restraints, but do not easily reveal which of these restraints derive from the same protein conformation. This superposition can be reduced by photo-crosslinking, and adding information from protein structure models, or quantitative crosslinking reveals conformation-specific crosslinks. As a consequence, crosslinking MS has proven useful already in the context of multiple dynamic protein systems. We foresee a breakthrough in the resolution and scale of studying protein dynamics when crosslinks are used to guide deep-learning-based protein modelling. Advances in crosslinking MS, such as photoactivatable crosslinking and in-situ crosslinking, will then reveal protein conformation dynamics in the cellular context, at a pseudo-atomic resolution, and plausibly in a time-resolved manner.
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Affiliation(s)
- Zhuo Angel Chen
- Technische Universität Berlin, Chair of Bioanalytics, 10623 Berlin, Germany
| | - Juri Rappsilber
- Technische Universität Berlin, Chair of Bioanalytics, 10623 Berlin, Germany; Si-M/"Der Simulierte Mensch", a Science Framework of Technische Universität Berlin and Charité - Universitätsmedizin Berlin, 10623 Berlin, Germany; Wellcome Centre for Cell Biology, University of Edinburgh, Edinburgh EH9 3BF, UK.
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3
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Chavez JD, Park SG, Mohr JP, Bruce JE. Applications and advancements of FT-ICR-MS for interactome studies. MASS SPECTROMETRY REVIEWS 2022; 41:248-261. [PMID: 33289940 PMCID: PMC8184889 DOI: 10.1002/mas.21675] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/12/2020] [Revised: 10/16/2020] [Accepted: 10/16/2020] [Indexed: 05/05/2023]
Abstract
The set of all intra- and intermolecular interactions, collectively known as the interactome, is currently an unmet challenge for any analytical method, but if measured, could provide unparalleled insight on molecular function in living systems. Developments and applications of chemical cross-linking and high-performance mass spectrometry technologies are beginning to reveal details on how proteins interact in cells and how protein conformations and interactions inside cells change with phenotype or during drug treatment or other perturbations. A major contributor to these advances is Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR-MS) technology and its implementation with accurate mass measurements on cross-linked peptide-pair precursor and fragment ions to enable improved identification methods. However, these applications place increased demands on mass spectrometer performance in terms of high-resolution spectral acquisition rates for on-line MSn experiments. Moreover, FT-ICR-MS also offers unique opportunities to develop and implement parallel ICR cells for multiplexed signal acquisition and the potential to greatly advance accurate mass acquisition rates for interactome studies. This review highlights our efforts to exploit accurate mass FT-ICR-MS technologies with chemical cross-linking and developments being pursued to realize parallel MS array capabilities that will further advance visualization of the interactome.
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Affiliation(s)
- Juan D. Chavez
- Department of Genome Sciences, University of Washington, Seattle, WA 98109
| | - Sung-Gun Park
- Department of Genome Sciences, University of Washington, Seattle, WA 98109
| | - Jared P. Mohr
- Department of Genome Sciences, University of Washington, Seattle, WA 98109
| | - James E. Bruce
- Department of Genome Sciences, University of Washington, Seattle, WA 98109
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4
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Yu C, Wang X, Huang L. Developing a Targeted Quantitative Strategy for Sulfoxide-Containing MS-Cleavable Cross-Linked Peptides to Probe Conformational Dynamics of Protein Complexes. Anal Chem 2022; 94:4390-4398. [PMID: 35193351 DOI: 10.1021/acs.analchem.1c05298] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
In recent years, cross-linking mass spectrometry (XL-MS) has made enormous strides as a technology for probing protein-protein interactions (PPIs) and elucidating architectures of multisubunit assemblies. To define conformational and interaction dynamics of protein complexes under different physiological conditions, various quantitative cross-linking mass spectrometry (QXL-MS) strategies based on stable isotope labeling have been developed. These QXL-MS approaches have effectively allowed comparative analysis of cross-links to determine their relative abundance changes at global scales. Although successful, it remains challenging to consistently obtain quantitative measurements on low-abundant cross-links. Therefore, targeted QXL-MS is needed to enable MS "Western" analysis of cross-links to enhance sensitivity and reliability in quantitation. To this end, we have established a robust parallel reaction monitoring (PRM)-based targeted QXL-MS platform using sulfoxide-containing MS-cleavable cross-linker disuccinimidyl sulfoxide (DSSO), permitting label-free comparative analysis of selected cross-links across multiple samples. In addition, we have applied this methodology to study phosphorylation-dependent conformational dynamics of the human 26S proteasome. The PRM-based targeted QXL-MS analytical platform described here is applicable for all sulfoxide-containing MS-cleavable cross-linkers and can be directly adopted for comparative studies of protein-protein interactions in various cellular contexts.
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Affiliation(s)
- Clinton Yu
- Department of Physiology & Biophysics, University of California, Irvine, Medical Science I, D233, Irvine, California 92697-4560, United States
| | - Xiaorong Wang
- Department of Physiology & Biophysics, University of California, Irvine, Medical Science I, D233, Irvine, California 92697-4560, United States
| | - Lan Huang
- Department of Physiology & Biophysics, University of California, Irvine, Medical Science I, D233, Irvine, California 92697-4560, United States
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5
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Wippel HH, Chavez JD, Keller AD, Bruce JE. Multiplexed Isobaric Quantitative Cross-Linking Reveals Drug-Induced Interactome Changes in Breast Cancer Cells. Anal Chem 2022; 94:2713-2722. [PMID: 35107270 PMCID: PMC8969885 DOI: 10.1021/acs.analchem.1c02208] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
Abstract
The study of protein structures and interactions is critical to understand their function. Chemical cross-linking of proteins with mass spectrometry (XL-MS) is a rapidly developing structural biology technique able to provide valuable insight into protein conformations and interactions, even as they exist within their native cellular environment. Quantitative analysis of cross-links can reveal protein conformational and interaction changes that occur as a result of altered biological states, environmental conditions, or pharmacological perturbations. Our laboratory recently developed an isobaric quantitative protein interaction reporter (iqPIR) cross-linking strategy for comparative interactome studies. This strategy relies on isotope encoded chemical cross-linkers that have the same molecular mass yet produce unique and specific isotope signatures upon fragmentation in the mass spectrometer which can be used for quantitative analysis of cross-linked peptides. The initial set of iqPIR molecules allowed for binary comparisons. Here, we describe the in vivo application of an extended set of six iqPIR reagents (6-plex iqPIR), allowing multiplexed quantitative interactome analysis of up to six biological samples in a single LC-MS acquisition. Multiplexed iqPIR is demonstrated on MCF-7 breast cancer cells treated with five different Hsp90 inhibitors revealing large scale protein conformational and interaction changes specific to the molecular class of the inhibitors.
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Affiliation(s)
| | | | - Andrew D. Keller
- 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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6
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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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7
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Klykov O, Kopylov M, Carragher B, Heck AJR, Noble AJ, Scheltema RA. Label-free visual proteomics: Coupling MS- and EM-based approaches in structural biology. Mol Cell 2022; 82:285-303. [PMID: 35063097 PMCID: PMC8842845 DOI: 10.1016/j.molcel.2021.12.027] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2021] [Revised: 12/14/2021] [Accepted: 12/20/2021] [Indexed: 01/22/2023]
Abstract
Combining diverse experimental structural and interactomic methods allows for the construction of comprehensible molecular encyclopedias of biological systems. Typically, this involves merging several independent approaches that provide complementary structural and functional information from multiple perspectives and at different resolution ranges. A particularly potent combination lies in coupling structural information from cryoelectron microscopy or tomography (cryo-EM or cryo-ET) with interactomic and structural information from mass spectrometry (MS)-based structural proteomics. Cryo-EM/ET allows for sub-nanometer visualization of biological specimens in purified and near-native states, while MS provides bioanalytical information for proteins and protein complexes without introducing additional labels. Here we highlight recent achievements in protein structure and interactome determination using cryo-EM/ET that benefit from additional MS analysis. We also give our perspective on how combining cryo-EM/ET and MS will continue bridging gaps between molecular and cellular studies by capturing and describing 3D snapshots of proteomes and interactomes.
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Affiliation(s)
- Oleg Klykov
- National Center for In-situ Tomographic Ultramicroscopy, Simons Electron Microscopy Center, New York Structural Biology Center, New York, NY, USA; Department of Biochemistry and Molecular Biophysics, Columbia University, New York, NY, USA
| | - Mykhailo Kopylov
- National Center for In-situ Tomographic Ultramicroscopy, Simons Electron Microscopy Center, New York Structural Biology Center, New York, NY, USA
| | - Bridget Carragher
- National Center for In-situ Tomographic Ultramicroscopy, Simons Electron Microscopy Center, New York Structural Biology Center, New York, NY, USA; Department of Biochemistry and Molecular Biophysics, Columbia University, New York, NY, USA
| | - Albert J R Heck
- Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, University of Utrecht, 3584 CH Utrecht, the Netherlands; Netherlands Proteomics Center, 3584 CH Utrecht, the Netherlands
| | - Alex J Noble
- National Center for In-situ Tomographic Ultramicroscopy, Simons Electron Microscopy Center, New York Structural Biology Center, New York, NY, USA.
| | - Richard A Scheltema
- Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, University of Utrecht, 3584 CH Utrecht, the Netherlands; Netherlands Proteomics Center, 3584 CH Utrecht, the Netherlands.
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8
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Trahan C, Oeffinger M. Targeted Cross-Linking Mass Spectrometry on Single-Step Affinity Purified Molecular Complexes in the Yeast Saccharomyces cerevisiae. Methods Mol Biol 2022; 2456:185-210. [PMID: 35612743 DOI: 10.1007/978-1-0716-2124-0_13] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
Protein cross-linking mass spectrometry (XL-MS) has been developed into a powerful and robust tool that is now well implemented and routinely used by an increasing number of laboratories. While bulk cross-linking of complexes provides useful information on whole complexes, it is limiting for the probing of specific protein "neighbourhoods," or vicinity interactomes. For example, it is not unusual to find cross-linked peptide pairs that are disproportionately overrepresented compared to the surface areas of complexes, while very few or no cross-links are identified in other regions. When studying dynamic complexes along their pathways, some vicinity cross-links may be of too low abundance in the pool of heterogenous complexes of interest to be efficiently identified by standard XL-MS. In this chapter, we describe a targeted XL-MS approach from single-step affinity purified (ssAP) complexes that enables the investigation of specific protein "neighbourhoods" within molecular complexes in yeast, using a small cross-linker anchoring tag, the CH-tag. One advantage of this method over a general cross-linking strategy is the possibility to significantly enrich for localized anchored-cross-links within complexes, thus yielding a higher sensitivity to detect highly dynamic or low abundance protein interactions within a specific protein "neighbourhood" occurring along the pathway of a selected bait protein. Moreover, many variations of the method can be employed; the ssAP-tag and the CH-tag can either be fused to the same or different proteins in the complex, or the CH-tag can be fused to multiple protein components in the same cell line to explore dynamic vicinity interactions along a pathway.
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Affiliation(s)
- Christian Trahan
- Institut de recherches cliniques de Montréal, Montréal, QC, Canada
| | - Marlene Oeffinger
- Institut de recherches cliniques de Montréal, Montréal, QC, Canada.
- Département de biochimie, Faculté de médecine, Université de Montréal, Montréal, QC, Canada.
- Faculty of Medicine, Division of Experimental Medicine, McGill University, Montréal, QC, Canada.
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9
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Chavez JD, Keller A, Wippel HH, Mohr JP, Bruce JE. Multiplexed Cross-Linking with Isobaric Quantitative Protein Interaction Reporter Technology. Anal Chem 2021; 93:16759-16768. [PMID: 34882395 PMCID: PMC9014865 DOI: 10.1021/acs.analchem.1c02209] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Chemical cross-linking with mass spectrometry (XL-MS) has emerged as a useful technique for interrogating protein structures and interactions. When combined with quantitative proteomics strategies, protein conformational and interaction dynamics can be probed. Quantitative XL-MS has been demonstrated with the use of stable isotopes incorporated metabolically or into the cross-linker molecules. Isotope-labeled cross-linkers have primarily utilized deuterium and rely on MS1-based quantitation of precursor ion extracted ion chromatograms. Recently the development and application of isobaric quantitative protein interaction reporter (iqPIR) cross-linkers were reported, which utilize 13C and 15N isotope labels. Quantitation is accomplished using relative fragment ion isotope abundances in tandem mass spectra. Here we describe the synthesis and initial evaluation of a multiplexed set of iqPIR molecules, allowing for up to six cross-linked samples to be quantified simultaneously. To analyze data for such cross-linkers, the two-channel mode of iqPIR quantitative analysis was adapted to accommodate any number of channels with defined ion isotope peak mass offsets. The summed ion peak intensities in the overlapping channel isotope envelopes are apportioned among the channels to minimize the difference with respect to the predicted ion isotope envelopes. The result is accurate and reproducible relative quantitation enabling direct comparison among six differentially labeled cross-linked samples. The approach described here is generally extensible for the iqPIR strategy, accommodating future iqPIR reagent design, and enables large-scale in vivo quantitative XL-MS investigation of the interactome.
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Affiliation(s)
| | | | - Helisa H. Wippel
- Department of Genome Sciences, University of Washington, Seattle, WA
| | - Jared P. Mohr
- Department of Genome Sciences, University of Washington, Seattle, WA
| | - James E. Bruce
- Department of Genome Sciences, University of Washington, Seattle, WA
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10
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Piersimoni L, Kastritis PL, Arlt C, Sinz A. Cross-Linking Mass Spectrometry for Investigating Protein Conformations and Protein-Protein Interactions─A Method for All Seasons. Chem Rev 2021; 122:7500-7531. [PMID: 34797068 DOI: 10.1021/acs.chemrev.1c00786] [Citation(s) in RCA: 110] [Impact Index Per Article: 36.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Mass spectrometry (MS) has become one of the key technologies of structural biology. In this review, the contributions of chemical cross-linking combined with mass spectrometry (XL-MS) for studying three-dimensional structures of proteins and for investigating protein-protein interactions are outlined. We summarize the most important cross-linking reagents, software tools, and XL-MS workflows and highlight prominent examples for characterizing proteins, their assemblies, and interaction networks in vitro and in vivo. Computational modeling plays a crucial role in deriving 3D-structural information from XL-MS data. Integrating XL-MS with other techniques of structural biology, such as cryo-electron microscopy, has been successful in addressing biological questions that to date could not be answered. XL-MS is therefore expected to play an increasingly important role in structural biology in the future.
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Affiliation(s)
- Lolita Piersimoni
- Department of Pharmaceutical Chemistry & Bioanalytics, Institute of Pharmacy, Kurt-Mothes-Strasse 3, D-06120 Halle (Saale), Germany.,Center for Structural Mass Spectrometry, Kurt-Mothes-Strasse 3, D-06120 Halle (Saale), Germany
| | - Panagiotis L Kastritis
- Interdisciplinary Research Center HALOmem, Charles Tanford Protein Center, Kurt-Mothes-Strasse 3a, D-06120 Halle (Saale), Germany.,Institute of Biochemistry and Biotechnology, Martin Luther University Halle-Wittenberg, Kurt-Mothes-Strasse 3, D-06120 Halle (Saale), Germany.,Biozentrum, Weinbergweg 22, D-06120 Halle (Saale), Germany
| | - Christian Arlt
- Department of Pharmaceutical Chemistry & Bioanalytics, Institute of Pharmacy, Kurt-Mothes-Strasse 3, D-06120 Halle (Saale), Germany.,Center for Structural Mass Spectrometry, Kurt-Mothes-Strasse 3, D-06120 Halle (Saale), Germany
| | - Andrea Sinz
- Department of Pharmaceutical Chemistry & Bioanalytics, Institute of Pharmacy, Kurt-Mothes-Strasse 3, D-06120 Halle (Saale), Germany.,Center for Structural Mass Spectrometry, Kurt-Mothes-Strasse 3, D-06120 Halle (Saale), Germany
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11
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Yugandhar K, Zhao Q, Gupta S, Xiong D, Yu H. Progress in methodologies and quality-control strategies in protein cross-linking mass spectrometry. Proteomics 2021; 21:e2100145. [PMID: 34647422 DOI: 10.1002/pmic.202100145] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2021] [Accepted: 10/04/2021] [Indexed: 11/10/2022]
Abstract
Deciphering the interaction networks and structural dynamics of proteins is pivotal to better understanding their biological functions. Cross-linking mass spectrometry (XL-MS) is a powerful and increasingly popular technology that provides information about protein-protein interactions and their structural constraints for individual proteins and multiprotein complexes on a proteome-scale. In this review, we first assess the coverage and depth of the XL-MS technique by utilizing publicly available datasets. We then delve into the progress in XL-MS experimental and computational methodologies and examine different quality-control strategies reported in the literature. Finally, we discuss the progress in XL-MS applications along with the scope for future improvements.
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Affiliation(s)
- Kumar Yugandhar
- Department of Computational Biology, Cornell University, New York, USA.,Weill Institute for Cell and Molecular Biology, Cornell University, New York, USA
| | - Qiuye Zhao
- Department of Computational Biology, Cornell University, New York, USA.,Weill Institute for Cell and Molecular Biology, Cornell University, New York, USA
| | - Shobhita Gupta
- Department of Computational Biology, Cornell University, New York, USA.,Weill Institute for Cell and Molecular Biology, Cornell University, New York, USA
| | - Dapeng Xiong
- Department of Computational Biology, Cornell University, New York, USA.,Weill Institute for Cell and Molecular Biology, Cornell University, New York, USA
| | - Haiyuan Yu
- Department of Computational Biology, Cornell University, New York, USA.,Weill Institute for Cell and Molecular Biology, Cornell University, New York, USA
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12
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Chavez JD, Wippel HH, Tang X, Keller A, Bruce JE. In-Cell Labeling and Mass Spectrometry for Systems-Level Structural Biology. Chem Rev 2021; 122:7647-7689. [PMID: 34232610 PMCID: PMC8966414 DOI: 10.1021/acs.chemrev.1c00223] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Biological systems have evolved to utilize proteins to accomplish nearly all functional roles needed to sustain life. A majority of biological functions occur within the crowded environment inside cells and subcellular compartments where proteins exist in a densely packed complex network of protein-protein interactions. The structural biology field has experienced a renaissance with recent advances in crystallography, NMR, and CryoEM that now produce stunning models of large and complex structures previously unimaginable. Nevertheless, measurements of such structural detail within cellular environments remain elusive. This review will highlight how advances in mass spectrometry, chemical labeling, and informatics capabilities are merging to provide structural insights on proteins, complexes, and networks that exist inside cells. Because of the molecular detection specificity provided by mass spectrometry and proteomics, these approaches provide systems-level information that not only benefits from conventional structural analysis, but also is highly complementary. Although far from comprehensive in their current form, these approaches are currently providing systems structural biology information that can uniquely reveal how conformations and interactions involving many proteins change inside cells with perturbations such as disease, drug treatment, or phenotypic differences. With continued advancements and more widespread adaptation, systems structural biology based on in-cell labeling and mass spectrometry will provide an even greater wealth of structural knowledge.
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Affiliation(s)
- Juan D Chavez
- Department of Genome Sciences, University of Washington, Seattle, Washington 98109, United States
| | - Helisa H Wippel
- Department of Genome Sciences, University of Washington, Seattle, Washington 98109, United States
| | - Xiaoting Tang
- Department of Genome Sciences, University of Washington, Seattle, Washington 98109, United States
| | - Andrew Keller
- Department of Genome Sciences, University of Washington, Seattle, Washington 98109, United States
| | - James E Bruce
- Department of Genome Sciences, University of Washington, Seattle, Washington 98109, United States
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13
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Tang X, Wippel HH, Chavez JD, Bruce JE. Crosslinking mass spectrometry: A link between structural biology and systems biology. Protein Sci 2021; 30:773-784. [PMID: 33594738 DOI: 10.1002/pro.4045] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Revised: 02/11/2021] [Accepted: 02/12/2021] [Indexed: 12/12/2022]
Abstract
Protein structure underpins functional roles in all biological processes; therefore, improved understanding of protein structures is of fundamental importance in nearly all biological and biomedical research areas. Traditional techniques such as X-ray crystallography and more recently, cryo-EM, can reveal structural features on isolated proteins/protein complexes at atomic resolution level and have become indispensable tools for structural biology. Crosslinking mass spectrometry (XL-MS), on the other hand, is an emerging technique capable of capturing transient and dynamic information on protein interactions and assemblies in their native environment. The combination of XL-MS with traditional techniques holds potential for bridging the gap between structural biology and systems biology approaches. Such a combination will enable visualization of protein structures and interactions within the crowded macromolecular environment in living systems that can dramatically increase understanding of biological functions. In this review, we first discuss general strategies of XL-MS and then survey recent examples to show how qualitative and quantitative XL-MS studies can be integrated with available protein structural data to better understand biological function at systems level.
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Affiliation(s)
- Xiaoting Tang
- Department of Genome Sciences, University of Washington, Seattle, Washington, USA
| | - Helisa H Wippel
- Department of Genome Sciences, University of Washington, Seattle, Washington, USA
| | - Juan D Chavez
- Department of Genome Sciences, University of Washington, Seattle, Washington, USA
| | - James E Bruce
- Department of Genome Sciences, University of Washington, Seattle, Washington, USA
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14
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Chavez JD, Keller A, Mohr JP, Bruce JE. Isobaric Quantitative Protein Interaction Reporter Technology for Comparative Interactome Studies. Anal Chem 2020; 92:14094-14102. [PMID: 32969639 DOI: 10.1021/acs.analchem.0c03128] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Chemical cross-linking with mass spectrometry (XL-MS) has emerged as a useful tool for the large-scale study of protein structures and interactions from complex biological samples including intact cells and tissues. Quantitative XL-MS (qXL-MS) provides unique information on protein conformational and interaction changes resulting from perturbations such as drug treatment and disease state. Previous qXL-MS studies relied on the incorporation of stable isotopes into the cross-linker (primarily deuterium) or metabolic labeling with SILAC. Here, we introduce isobaric quantitative protein interaction reporter (iqPIR) technology which utilizes stable isotopes selectively incorporated into the cross-linker design, allowing for isobaric cross-linked peptide pairs originating from different samples to display distinct quantitative isotope signatures in tandem mass spectra. This enables improved quantitation of cross-linked peptide levels from proteome-wide samples because of the reduced complexity of tandem mass spectra relative to MS1 spectra. In addition, because of the isotope incorporation in the reporter and the residual components of the cross-linker that remain on released peptides, each fragmentation spectrum can offer multiple independent opportunities and, therefore, improved confidence for quantitative assessment of the cross-linker pair level. Finally, in addition to providing information on solvent accessibility of lysine sites, dead end iqPIR cross-linked products can provide protein abundance and/or lysine site modification level information all from a single in vivo cross-linking experiment.
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Affiliation(s)
- Juan D Chavez
- Department of Genome Sciences, University of Washington, Seattle 98195, Washington, United States
| | - Andrew Keller
- Department of Genome Sciences, University of Washington, Seattle 98195, Washington, United States
| | - Jared P Mohr
- Department of Genome Sciences, University of Washington, Seattle 98195, Washington, United States
| | - James E Bruce
- Department of Genome Sciences, University of Washington, Seattle 98195, Washington, United States
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15
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Liu XR, Zhang MM, Gross ML. Mass Spectrometry-Based Protein Footprinting for Higher-Order Structure Analysis: Fundamentals and Applications. Chem Rev 2020; 120:4355-4454. [PMID: 32319757 PMCID: PMC7531764 DOI: 10.1021/acs.chemrev.9b00815] [Citation(s) in RCA: 130] [Impact Index Per Article: 32.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
Proteins adopt different higher-order structures (HOS) to enable their unique biological functions. Understanding the complexities of protein higher-order structures and dynamics requires integrated approaches, where mass spectrometry (MS) is now positioned to play a key role. One of those approaches is protein footprinting. Although the initial demonstration of footprinting was for the HOS determination of protein/nucleic acid binding, the concept was later adapted to MS-based protein HOS analysis, through which different covalent labeling approaches "mark" the solvent accessible surface area (SASA) of proteins to reflect protein HOS. Hydrogen-deuterium exchange (HDX), where deuterium in D2O replaces hydrogen of the backbone amides, is the most common example of footprinting. Its advantage is that the footprint reflects SASA and hydrogen bonding, whereas one drawback is the labeling is reversible. Another example of footprinting is slow irreversible labeling of functional groups on amino acid side chains by targeted reagents with high specificity, probing structural changes at selected sites. A third footprinting approach is by reactions with fast, irreversible labeling species that are highly reactive and footprint broadly several amino acid residue side chains on the time scale of submilliseconds. All of these covalent labeling approaches combine to constitute a problem-solving toolbox that enables mass spectrometry as a valuable tool for HOS elucidation. As there has been a growing need for MS-based protein footprinting in both academia and industry owing to its high throughput capability, prompt availability, and high spatial resolution, we present a summary of the history, descriptions, principles, mechanisms, and applications of these covalent labeling approaches. Moreover, their applications are highlighted according to the biological questions they can answer. This review is intended as a tutorial for MS-based protein HOS elucidation and as a reference for investigators seeking a MS-based tool to address structural questions in protein science.
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Affiliation(s)
| | | | - Michael L. Gross
- Department of Chemistry, Washington University in St. Louis, St. Louis, MO, USA, 63130
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16
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Zhong X, Wu X, Schweppe DK, Chavez JD, Mathay M, Eng JK, Keller A, Bruce JE. In Vivo Cross-Linking MS Reveals Conservation in OmpA Linkage to Different Classes of β-Lactamase Enzymes. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2020; 31:190-195. [PMID: 32031408 PMCID: PMC7970438 DOI: 10.1021/jasms.9b00021] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/06/2023]
Abstract
Molecular interactions between two different classes of β-lactamase enzymes and outer membrane protein A (OmpA) were studied by in vivo chemical cross-linking of a multi-drug-resistant strain of Acinetobacter baumannii AB5075. Class A β-lactamase blaGES-11 and Class D β-lactamase Oxa23, responsible for hydrolysis of different types of β-lactam antibiotics, were found to be cross-linked to similar lysine sites of the periplasmic domain of outer membrane protein OmpA, despite low sequence homology between the two enzymes. The findings from in vivo XL-MS suggest that the interacting surfaces between both β-lactamase enzymes and OmpA are conserved during molecular evolution, and the OmpA C-terminus domain serves an important function of anchoring different types of β-lactamase enzymes in the periplasmic space.
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Affiliation(s)
| | | | | | | | | | | | | | - James E. Bruce
- Corresponding Author: Tel: (206) 543-0220. Fax: (206) 616-0008.
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17
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Ihling CH, Springorum P, Iacobucci C, Hage C, Götze M, Schäfer M, Sinz A. The Isotope-Labeled, MS-Cleavable Cross-Linker Disuccinimidyl Dibutyric Urea for Improved Cross-Linking/Mass Spectrometry Studies. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2020; 31:183-189. [PMID: 32031397 DOI: 10.1021/jasms.9b00008] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Previous studies have shown the benefits of the amine-reactive, CID-MS/MS-cleavable cross-linker disuccinimidyl dibutyric urea (DSBU) for structural proteomics studies via cross-linking/MS (XL-MS). To further facilitate the automation of XL-MS experiments, we synthesized a deuterated (D12) version of the DSBU cross-linker combining the advantages of MS-cleavable linkers and isotope labeling. The rationale of conducting XL-MS with a mixture of unlabeled and stable isotope-labeled DSBU is to obtain characteristic mass differences at the MS level indicating cross-linked species. These cross-linked species can then be selected for fragmentation by collisional activation. At the MS/MS level, the characteristic 26-u doublets arising from cleavage of the central urea group in DSBU confirm the amino acid sequences of cross-linked peptides as well as the exact cross-linking sites. D12-labeled DSBU was tested on three systems with increasing complexity: (i) bovine serum albumin as purified protein, (ii) Escherichia coli ribosome as large, multimeric protein assembly, and (iii) Drosophila embryo extract as complete proteome. We demonstrate the benefits arising from the use of isotope-labeled DSBU for an automated assignment of cross-linked products. Combining isotope labeling and MS cleavability in one cross-linker resulted in higher cross-link identification numbers especially for highly complex protein mixtures.
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Affiliation(s)
- Christian H Ihling
- Institute of Pharmacy , Martin Luther University Halle-Wittenberg, Charles Tanford Protein Center , Kurt-Mothes-Str. 3a , D-06120 Halle/Saale , Germany
| | - Patrizia Springorum
- Institute of Pharmacy , Martin Luther University Halle-Wittenberg, Charles Tanford Protein Center , Kurt-Mothes-Str. 3a , D-06120 Halle/Saale , Germany
| | - Claudio Iacobucci
- Institute of Pharmacy , Martin Luther University Halle-Wittenberg, Charles Tanford Protein Center , Kurt-Mothes-Str. 3a , D-06120 Halle/Saale , Germany
| | - Christoph Hage
- Institute of Pharmacy , Martin Luther University Halle-Wittenberg, Charles Tanford Protein Center , Kurt-Mothes-Str. 3a , D-06120 Halle/Saale , Germany
| | - Michael Götze
- Institute of Biochemistry , Martin Luther University Halle-Wittenberg, Charles Tanford Protein Center , Kurt-Mothes-Str. 3a , D-06120 Halle (Saale) , Germany
| | - Mathias Schäfer
- Department of Chemistry , University Cologne , Greinstr. 4 , D-50939 Köln , Germany
| | - Andrea Sinz
- Institute of Pharmacy , Martin Luther University Halle-Wittenberg, Charles Tanford Protein Center , Kurt-Mothes-Str. 3a , D-06120 Halle/Saale , Germany
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18
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Chavez JD, Keller A, Zhou B, Tian R, Bruce JE. Cellular Interactome Dynamics during Paclitaxel Treatment. Cell Rep 2019; 29:2371-2383.e5. [PMID: 31747606 PMCID: PMC6910234 DOI: 10.1016/j.celrep.2019.10.063] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2019] [Revised: 09/23/2019] [Accepted: 10/15/2019] [Indexed: 12/12/2022] Open
Abstract
Cell-cycle inhibitors, including paclitaxel, are among the most widely used and effective cancer therapies. However, several challenges limit the success of paclitaxel, including drug resistance and toxic side effects. Paclitaxel is thought to act primarily by stabilizing microtubules, locking cells in a mitotic state. However, the resulting cytotoxicity and tumor shrinkage rates observed cannot be fully explained by this mechanism alone. Here we apply quantitative chemical cross-linking with mass spectrometry analysis to paclitaxel-treated cells. Our results provide large-scale measurements of relative protein levels and, perhaps more importantly, changes to protein conformations and interactions that occur upon paclitaxel treatment. Drug concentration-dependent changes are revealed in known drug targets including tubulins, as well as many other proteins and protein complexes involved in apoptotic signaling and cellular homeostasis. As such, this study provides insight into systems-level changes to protein structures and interactions that occur with paclitaxel treatment.
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Affiliation(s)
- Juan D Chavez
- Department of Genome Sciences, University of Washington, Seattle, WA 98105, USA
| | - Andrew Keller
- Department of Genome Sciences, University of Washington, Seattle, WA 98105, USA
| | - Bo Zhou
- Department of Bioengineering, University of Washington, Seattle, WA 98105, USA; Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA 98105, USA; Mitochondria and Metabolism Center, University of Washington, Seattle, WA 98105, USA
| | - Rong Tian
- Department of Bioengineering, University of Washington, Seattle, WA 98105, USA; Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA 98105, USA; Mitochondria and Metabolism Center, University of Washington, Seattle, WA 98105, USA
| | - James E Bruce
- Department of Genome Sciences, University of Washington, Seattle, WA 98105, USA.
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19
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Huang R, Zhu W, Wu Y, Chen J, Yu J, Jiang B, Chen H, Chen W. A novel mass spectrometry-cleavable, phosphate-based enrichable and multi-targeting protein cross-linker. Chem Sci 2019; 10:6443-6447. [PMID: 31341596 PMCID: PMC6611067 DOI: 10.1039/c9sc00893d] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2019] [Accepted: 05/23/2019] [Indexed: 12/13/2022] Open
Abstract
Chemical cross-linking mass spectrometry (XL-MS) is a powerful technology for obtaining protein structural information and studying protein-protein interactions. We report phospho-bisvinylsulfone (pBVS) as a novel water-soluble, MS-cleavable, phosphate-based enrichable and multi-targeting cross-linker. In this approach, the fragmentation of pBVS cross-linked peptides occurs in situ through retro-Michael addition. The phosphate group is successfully used as a small affinity tag to isolate cross-linked peptides from the highly abundant non-cross-linked peptides. In addition, the linker targets multiple types of amino acid residues, including cysteine, lysine and histidine. This method was applied to cross-link bovine serum albumin (BSA), myoglobin and Lbcpf1 demonstrating the ability to yield accurate and abundant information to facilitate protein structure elucidation.
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Affiliation(s)
- Rong Huang
- Shanghai Institute for Advanced Immunochemical Studies , ShanghaiTech University , 393 Middle Huaxia Road , Pudong , Shanghai 201210 , China . ; ;
- University of Chinese Academy of Sciences , 19A Yuquan Road, Shijingshan District , Beijing , 100049 , China
| | - Wei Zhu
- Shanghai Institute for Advanced Immunochemical Studies , ShanghaiTech University , 393 Middle Huaxia Road , Pudong , Shanghai 201210 , China . ; ;
| | - Yue Wu
- Shanghai Institute for Advanced Immunochemical Studies , ShanghaiTech University , 393 Middle Huaxia Road , Pudong , Shanghai 201210 , China . ; ;
| | - Jiakang Chen
- Shanghai Institute for Advanced Immunochemical Studies , ShanghaiTech University , 393 Middle Huaxia Road , Pudong , Shanghai 201210 , China . ; ;
| | - Jianghui Yu
- Shanghai Institute for Advanced Immunochemical Studies , ShanghaiTech University , 393 Middle Huaxia Road , Pudong , Shanghai 201210 , China . ; ;
- University of Chinese Academy of Sciences , 19A Yuquan Road, Shijingshan District , Beijing , 100049 , China
| | - Biao Jiang
- Shanghai Institute for Advanced Immunochemical Studies , ShanghaiTech University , 393 Middle Huaxia Road , Pudong , Shanghai 201210 , China . ; ;
| | - Hongli Chen
- Shanghai Institute for Advanced Immunochemical Studies , ShanghaiTech University , 393 Middle Huaxia Road , Pudong , Shanghai 201210 , China . ; ;
| | - Wenzhang Chen
- Shanghai Institute for Advanced Immunochemical Studies , ShanghaiTech University , 393 Middle Huaxia Road , Pudong , Shanghai 201210 , China . ; ;
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20
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Chavez JD, Mohr JP, Mathay M, Zhong X, Keller A, Bruce JE. Systems structural biology measurements by in vivo cross-linking with mass spectrometry. Nat Protoc 2019; 14:2318-2343. [PMID: 31270507 DOI: 10.1038/s41596-019-0181-3] [Citation(s) in RCA: 45] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2018] [Accepted: 04/18/2019] [Indexed: 12/23/2022]
Abstract
This protocol describes a workflow for utilizing large-scale cross-linking with mass spectrometry (XL-MS) to make systems-level structural biology measurements in complex biological samples, including cells, isolated organelles, and tissue samples. XL-MS is a structural biology technique that provides information on the molecular structure of proteins and protein complexes using chemical probes that report the proximity of probe-reactive amino acids within proteins, typically lysine residues. Information gained through XL-MS studies is often complementary to more traditional methods, such as X-ray crystallography, nuclear magnetic resonance, and cryo-electron microscopy. The use of MS-cleavable cross-linkers, including protein interaction reporter (PIR) technologies, enables XL-MS studies on protein structures and interactions in extremely complex biological samples, including intact living cells. PIR cross-linkers are designed to contain chemical bonds at specific locations within the cross-linker molecule that can be selectively cleaved by collision-induced dissociation or UV light. When broken, these bonds release the intact peptides that were cross-linked, as well as a reporter ion. Conservation of mass dictates that the sum of the two released peptide masses and the reporter mass equals the measured precursor mass. This relationship is used to identify cross-linked peptide pairs. Release of the individual peptides permits accurate measurement of their masses and independent amino acid sequence determination by tandem MS, allowing the use of standard proteomics search engines such as Comet for peptide sequence assignment, greatly simplifying data analysis of cross-linked peptide pairs. Search results are processed with XLinkProphet for validation and can be uploaded into XlinkDB for interaction network and structural analysis.
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Affiliation(s)
- Juan D Chavez
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Jared P Mohr
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Martin Mathay
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Xuefei Zhong
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Andrew Keller
- 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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21
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Ser Z, Cifani P, Kentsis A. Optimized Cross-Linking Mass Spectrometry for in Situ Interaction Proteomics. J Proteome Res 2019; 18:2545-2558. [PMID: 31083951 DOI: 10.1021/acs.jproteome.9b00085] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Recent development of mass spectrometer cleavable protein cross-linkers and algorithms for their spectral identification now permits large-scale cross-linking mass spectrometry (XL-MS). Here, we optimized the use of cleavable disuccinimidyl sulfoxide (DSSO) cross-linker for labeling native protein complexes in live human cells. We applied a generalized linear mixture model to calibrate cross-link peptide-spectra matching (CSM) scores to control the sensitivity and specificity of large-scale XL-MS. Using specific CSM score thresholds to control the false discovery rate, we found that higher-energy collisional dissociation (HCD) and electron transfer dissociation (ETD) can both be effective for large-scale XL-MS protein interaction mapping. We found that the coverage of protein-protein interaction maps is significantly improved through the use of multiple proteases. In addition, the use of focused sample-specific search databases can be used to improve the specificity of cross-linked peptide spectral matching. Application of this approach to human chromatin labeled in live cells recapitulated known and revealed new protein interactions of nucleosomes and other chromatin-associated complexes in situ. This optimized approach for mapping native protein interactions should be useful for a wide range of biological problems.
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Affiliation(s)
| | | | - Alex Kentsis
- Department of Pediatrics, Pharmacology, and Physiology & Biophysics, Weill Cornell Medical College , Cornell University , New York , New York 10065 , United States
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22
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Chen ZA, Rappsilber J. Quantitative cross-linking/mass spectrometry to elucidate structural changes in proteins and their complexes. Nat Protoc 2019; 14:171-201. [PMID: 30559374 DOI: 10.1038/s41596-018-0089-3] [Citation(s) in RCA: 42] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Quantitative cross-linking/mass spectrometry (QCLMS/QXL-MS) probes structural changes of proteins in solution. This method has revealed induced conformational changes, composition shifts in conformational ensembles and changes in protein interactions. It illuminates different structural states of proteins or protein complexes by comparing which residue pairs can be cross-linked in these states. Cross-links provide information about structural changes that may be inaccessible by alternative technologies. Small local conformational changes affect relative abundances of nearby cross-links, whereas larger conformational changes cause new cross-links to be formed. Distinguishing between minor and major changes requires a robust analysis based on carefully selected replicates and, when using isotope-labeled cross-linkers, replicated analysis with a permutated isotope-labeling scheme. A label-free workflow allows for application of a wide range of cross-linking chemistries and enables parallel comparison of multiple conformations. In this protocol, we demonstrate both label-free and isotope-labeled cross-linker-based workflows using the cross-linker bis(sulfosuccinimidyl)suberate (BS3). The software XiSearch, developed by our group, is used to identify cross-linked residue pairs, although the workflow is not limited to this search software. The open-access software Skyline is used for automated quantitation. Note that additional manual correction greatly enhances quantitation accuracy. The protocol has been applied to purified multi-protein complexes but is not necessarily limited to that level of sample complexity. Optimizing the cross-linker/protein ratio and fractionating peptides increase the data density of quantified cross-links, and thus the resolution of QCLMS. The entire procedure takes ~1-3 weeks.
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Affiliation(s)
- Zhuo A Chen
- Bioanalytics, Institute of Biotechnology, Technische Universität Berlin, Berlin, Germany.,Wellcome Centre for Cell Biology, University of Edinburgh, Edinburgh, UK
| | - Juri Rappsilber
- Bioanalytics, Institute of Biotechnology, Technische Universität Berlin, Berlin, Germany. .,Wellcome Centre for Cell Biology, University of Edinburgh, Edinburgh, UK.
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23
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Yu C, Wang X, Huszagh AS, Viner R, Novitsky E, Rychnovsky SD, Huang L. Probing H 2O 2-mediated Structural Dynamics of the Human 26S Proteasome Using Quantitative Cross-linking Mass Spectrometry (QXL-MS). Mol Cell Proteomics 2019; 18:954-967. [PMID: 30723094 DOI: 10.1074/mcp.tir119.001323] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2019] [Indexed: 12/15/2022] Open
Abstract
Cytotoxic protein aggregation-induced impairment of cell function and homeostasis are hallmarks of age-related neurodegenerative pathologies. As proteasomal degradation represents the major clearance pathway for oxidatively damaged proteins, a detailed understanding of the molecular events underlying its stress response is critical for developing strategies to maintain cell viability and function. Although the 26S proteasome has been shown to disassemble during oxidative stress, its conformational dynamics remains unclear. To this end, we have developed a new quantitative cross-linking mass spectrometry (QXL-MS) workflow to explore the structural dynamics of proteasome complexes in response to oxidative stress. This strategy comprises SILAC-based metabolic labeling, HB tag-based affinity purification, a 2-step cross-linking reaction consisting of mild in vivo formaldehyde and on-bead DSSO cross-linking, and multi-stage tandem mass spectrometry (MSn) to identify and quantify cross-links. This integrated workflow has been successfully applied to explore the molecular events underlying oxidative stress-dependent proteasomal regulation by comparative analyses of proteasome complex topologies from treated and untreated cells. Our results show that H2O2 treatment weakens the 19S-20S interaction within the 26S proteasome, along with reorganizations within the 19S and 20S subcomplexes. Altogether, this work sheds light on the mechanistic response of the 26S to acute oxidative stress, suggesting an intermediate proteasomal state(s) before H2O2-mediated dissociation of the 26S. The QXL-MS strategy presented here can be applied to study conformational changes of other protein complexes under different physiological conditions.
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Affiliation(s)
- Clinton Yu
- From the ‡Department of Physiology & Biophysics, University of California, Irvine, Irvine, CA 92694
| | - Xiaorong Wang
- From the ‡Department of Physiology & Biophysics, University of California, Irvine, Irvine, CA 92694
| | - Alexander Scott Huszagh
- From the ‡Department of Physiology & Biophysics, University of California, Irvine, Irvine, CA 92694
| | - Rosa Viner
- §Thermo Fisher, 355 River Oaks Parkway, San Jose, CA 95134
| | - Eric Novitsky
- ¶Department of Chemistry, University of California, Irvine, Irvine, CA 92694
| | - Scott D Rychnovsky
- ¶Department of Chemistry, University of California, Irvine, Irvine, CA 92694
| | - Lan Huang
- From the ‡Department of Physiology & Biophysics, University of California, Irvine, Irvine, CA 92694;.
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24
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Klykov O, Steigenberger B, Pektaş S, Fasci D, Heck AJR, Scheltema RA. Efficient and robust proteome-wide approaches for cross-linking mass spectrometry. Nat Protoc 2018; 13:2964-2990. [DOI: 10.1038/s41596-018-0074-x] [Citation(s) in RCA: 107] [Impact Index Per Article: 17.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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25
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A cross-linking/mass spectrometry workflow based on MS-cleavable cross-linkers and the MeroX software for studying protein structures and protein–protein interactions. Nat Protoc 2018; 13:2864-2889. [DOI: 10.1038/s41596-018-0068-8] [Citation(s) in RCA: 114] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
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26
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Chen ZA, Rappsilber J. Protein Dynamics in Solution by Quantitative Crosslinking/Mass Spectrometry. Trends Biochem Sci 2018; 43:908-920. [PMID: 30318267 PMCID: PMC6240160 DOI: 10.1016/j.tibs.2018.09.003] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2018] [Revised: 08/20/2018] [Accepted: 09/12/2018] [Indexed: 01/09/2023]
Abstract
The dynamics of protein structures and their interactions are responsible for many cellular processes. The rearrangements and interactions of proteins, which are often transient, occur in solution and may require a biological environment that is difficult to maintain in traditional structural biological approaches. Quantitative crosslinking/mass spectrometry (QCLMS) has emerged as an excellent method to fill this gap. Numerous recent applications of the technique have demonstrated that protein dynamics can now be studied in solution at sufficient resolution to gain valuable biological insights, suggesting that extending these investigations to native environments is possible. These breakthroughs have been based on the maturation of CLMS at large, and its recent fusion with quantitative proteomics. We provide here an overview of the current state of the technique, the available workflows and their applications, and remaining challenges. In-solution dynamics of protein structures and their interactions can be studied by QCLMS. Successful applications of QCLMS provide insights into multiple different biological processes. Recent advances in QCLMS allow analyses in the context of native cellular environments, including living cells. Alternative workflows allow researchers to tailor the analysis to their biological question. Progress in data processing now offers this technique to researchers with limited initial expertise in crosslinking and quantitative proteomics.
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Affiliation(s)
- Zhuo A Chen
- 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, University of Edinburgh, Edinburgh EH9 3BF, UK.
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27
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Kaur U, Meng H, Lui F, Ma R, Ogburn RN, Johnson JHR, Fitzgerald MC, Jones LM. Proteome-Wide Structural Biology: An Emerging Field for the Structural Analysis of Proteins on the Proteomic Scale. J Proteome Res 2018; 17:3614-3627. [PMID: 30222357 DOI: 10.1021/acs.jproteome.8b00341] [Citation(s) in RCA: 48] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Over the past decade, a suite of new mass-spectrometry-based proteomics methods has been developed that now enables the conformational properties of proteins and protein-ligand complexes to be studied in complex biological mixtures, from cell lysates to intact cells. Highlighted here are seven of the techniques in this new toolbox. These techniques include chemical cross-linking (XL-MS), hydroxyl radical footprinting (HRF), Drug Affinity Responsive Target Stability (DARTS), Limited Proteolysis (LiP), Pulse Proteolysis (PP), Stability of Proteins from Rates of Oxidation (SPROX), and Thermal Proteome Profiling (TPP). The above techniques all rely on conventional bottom-up proteomics strategies for peptide sequencing and protein identification. However, they have required the development of unconventional proteomic data analysis strategies. Discussed here are the current technical challenges associated with these different data analysis strategies as well as the relative analytical capabilities of the different techniques. The new biophysical capabilities that the above techniques bring to bear on proteomic research are also highlighted in the context of several different application areas in which these techniques have been used, including the study of protein ligand binding interactions (e.g., protein target discovery studies and protein interaction network analyses) and the characterization of biological states.
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Affiliation(s)
- Upneet Kaur
- Department of Pharmaceutical Sciences , University of Maryland , Baltimore , Maryland 21201 , United States
| | - He Meng
- Department of Chemistry , Duke University , Durham , North Carolina 27708-0346 , United States
| | | | - Renze Ma
- Department of Chemistry , Duke University , Durham , North Carolina 27708-0346 , United States
| | - Ryenne N Ogburn
- Department of Chemistry , Duke University , Durham , North Carolina 27708-0346 , United States
| | - Julia H R Johnson
- Department of Chemistry , Duke University , Durham , North Carolina 27708-0346 , United States
| | - Michael C Fitzgerald
- Department of Chemistry , Duke University , Durham , North Carolina 27708-0346 , United States
| | - Lisa M Jones
- Department of Pharmaceutical Sciences , University of Maryland , Baltimore , Maryland 21201 , United States
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28
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Chavez JD, Bruce JE. Chemical cross-linking with mass spectrometry: a tool for systems structural biology. Curr Opin Chem Biol 2018; 48:8-18. [PMID: 30172868 DOI: 10.1016/j.cbpa.2018.08.006] [Citation(s) in RCA: 95] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2018] [Revised: 08/09/2018] [Accepted: 08/10/2018] [Indexed: 01/14/2023]
Abstract
Biological processes supporting life are orchestrated by a highly dynamic array of protein structures and interactions comprising the interactome. Defining the interactome, visualizing how structures and interactions change and function to support life is essential to improved understanding of fundamental molecular processes, but represents a challenge unmet by any single analytical technique. Chemical cross-linking with mass spectrometry provides identification of proximal amino acid residues within proteins and protein complexes, yielding low resolution structural information. This approach has predominantly been employed to provide structural insight on isolated protein complexes, and has been particularly useful for molecules that are recalcitrant to conventional structural biology studies. Here we discuss recent developments in cross-linking and mass spectrometry technologies that are providing large-scale or systems-level interactome data with successful applications to isolated organelles, cell lysates, virus particles, intact bacterial and mammalian cultured cells and tissue samples.
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Affiliation(s)
- Juan D Chavez
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA
| | - James E Bruce
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA.
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29
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Tokmina-Lukaszewska M, Patterson A, Berry L, Scott L, Balasubramanian N, Bothner B. The Role of Mass Spectrometry in Structural Studies of Flavin-Based Electron Bifurcating Enzymes. Front Microbiol 2018; 9:1397. [PMID: 30026733 PMCID: PMC6041385 DOI: 10.3389/fmicb.2018.01397] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2018] [Accepted: 06/07/2018] [Indexed: 12/01/2022] Open
Abstract
For decades, biologists and biochemists have taken advantage of atomic resolution structural models of proteins from X-ray crystallography, nuclear magnetic resonance spectroscopy, and more recently cryo-electron microscopy. However, not all proteins relent to structural analyses using these approaches, and as the depth of knowledge increases, additional data elucidating a mechanistic understanding of protein function is desired. Flavin-based electron bifurcating enzymes, which are responsible for producing high energy compounds through the simultaneous endergonic and exergonic reduction of two intercellular electron carriers (i.e., NAD+ and ferredoxin) are one class of proteins that have challenged structural biologists and in which there is great interest to understand the mechanism behind electron gating. A limited number of X-ray crystallography projects have been successful; however, it is clear that to understand how these enzymes function, techniques that can reveal detailed in solution information about protein structure, dynamics, and interactions involved in the bifurcating reaction are needed. In this review, we cover a general set of mass spectrometry-based techniques that, combined with protein modeling, are capable of providing information on both protein structure and dynamics. Techniques discussed include surface labeling, covalent cross-linking, native mass spectrometry, and hydrogen/deuterium exchange. We cover how biophysical data can be used to validate computationally generated protein models and develop mechanistic explanations for regulation and performance of enzymes and protein complexes. Our focus will be on flavin-based electron bifurcating enzymes, but the broad applicability of the techniques will be showcased.
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Affiliation(s)
| | - Angela Patterson
- Department of Chemistry and Biochemistry, Montana State University, Bozeman, MT, United States
| | - Luke Berry
- Department of Chemistry and Biochemistry, Montana State University, Bozeman, MT, United States
| | - Liam Scott
- Department of Chemistry and Biochemistry, Montana State University, Bozeman, MT, United States
| | | | - Brian Bothner
- Department of Chemistry and Biochemistry, Montana State University, Bozeman, MT, United States
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Chavez JD, Lee CF, Caudal A, Keller A, Tian R, Bruce JE. Chemical Crosslinking Mass Spectrometry Analysis of Protein Conformations and Supercomplexes in Heart Tissue. Cell Syst 2018; 6:136-141.e5. [PMID: 29199018 PMCID: PMC5799023 DOI: 10.1016/j.cels.2017.10.017] [Citation(s) in RCA: 95] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2017] [Revised: 09/05/2017] [Accepted: 10/25/2017] [Indexed: 12/16/2022]
Abstract
While modern structural biology technologies have greatly expanded the size and type of protein complexes that can now be studied, the ability to derive large-scale structural information on proteins and complexes as they exist within tissues is practically nonexistent. Here, we demonstrate the application of crosslinking mass spectrometry to identify protein structural features and interactions in tissue samples, providing systems structural biology insight into protein complexes as they exist in the mouse heart. This includes insights into multiple conformational states of sarcomere proteins, as well as interactions among OXPHOS complexes indicative of supercomplex assembly. The extension of crosslinking mass spectrometry analysis into the realm of tissues opens the door to increasing our understanding of protein structures and interactions within the context of the greater biological system.
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Affiliation(s)
- Juan D Chavez
- Department of Genome Sciences, University of Washington, Seattle, WA 98105, USA
| | - Chi Fung Lee
- Department of Bioengineering, University of Washington, Seattle, WA 98105, USA; Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA 98105, USA; Mitochondria and Metabolism Center, University of Washington, Seattle, WA 98105, USA
| | - Arianne Caudal
- Department of Bioengineering, University of Washington, Seattle, WA 98105, USA; Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA 98105, USA; Mitochondria and Metabolism Center, University of Washington, Seattle, WA 98105, USA
| | - Andrew Keller
- Department of Genome Sciences, University of Washington, Seattle, WA 98105, USA
| | - Rong Tian
- Department of Bioengineering, University of Washington, Seattle, WA 98105, USA; Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA 98105, USA; Mitochondria and Metabolism Center, University of Washington, Seattle, WA 98105, USA
| | - James E Bruce
- Department of Genome Sciences, University of Washington, Seattle, WA 98105, USA.
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Yu C, Huang L. Cross-Linking Mass Spectrometry: An Emerging Technology for Interactomics and Structural Biology. Anal Chem 2018; 90:144-165. [PMID: 29160693 PMCID: PMC6022837 DOI: 10.1021/acs.analchem.7b04431] [Citation(s) in RCA: 222] [Impact Index Per Article: 37.0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Affiliation(s)
- Clinton Yu
- Department of Physiology & Biophysics, University of California, Irvine, Irvine, CA 92697
| | - Lan Huang
- Department of Physiology & Biophysics, University of California, Irvine, Irvine, CA 92697
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