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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He Y, Li Y, Zhao L, Ying G, Lu G, Zhang L, Zhang Z. An Optimized Miniaturized Filter-Aided Sample Preparation Method for Sensitive Cross-Linking Mass Spectrometry Analysis of Microscale Samples. Anal Chem 2024. [PMID: 39007547 DOI: 10.1021/acs.analchem.4c01600] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/16/2024]
Abstract
Cross-linking mass spectrometry (XL-MS) is a powerful tool for elucidating protein structures and protein-protein interactions (PPIs) at the global scale. However, sensitive XL-MS analysis of mass-limited samples remains challenging, due to serious sample loss during sample preparation of the low-abundance cross-linked peptides. Herein, an optimized miniaturized filter-aided sample preparation (O-MICROFASP) method was presented for sensitive XL-MS analysis of microscale samples. By systematically investigating and optimizing crucial experimental factors, this approach dramatically improves the XL identification of low and submicrogram samples. Compared with the conventional FASP method, more than 7.4 times cross-linked peptides were identified from single-shot analysis of 1 μg DSS cross-linked HeLa cell lysates (440 vs 59). The number of cross-linked peptides identified from 0.5 μg HeLa cell lysates was increased by 58% when further reducing the surface area of the filter to 0.058 mm2 in the microreactor. To deepen the identification coverage of XL-proteome, five different types of cross-linkers were used and each μg of cross-linked HeLa cell lysates was processed by O-MICROFASP integrated with tip-based strong cation exchange (SCX) fractionation. Up to 2741 unique cross-linked peptides were identified from the 5 μg HeLa cell lysates, representing 2579 unique K-K linkages on 1092 proteins. About 96% of intraprotein cross-links were within the maximal distance restraints of 26 Å, and 75% of the identified PPIs reported by the STRING database were with high confidence (scores ≥0.9), confirming the high validity of the identified cross-links for protein structural mapping and PPI analysis. This study demonstrates that O-MICROFASP is a universal and efficient method for proteome-wide XL-MS analysis of microscale samples with high sensitivity and reliability.
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Affiliation(s)
- Yu He
- Institute of Drug Discovery Technology, Ningbo University, Ningbo, Zhejiang 315211, China
| | - Yang Li
- Institute of Drug Discovery Technology, Ningbo University, Ningbo, Zhejiang 315211, China
| | - Lili Zhao
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Science, Dalian, Liaoning 116023, China
| | - Guojin Ying
- Institute of Drug Discovery Technology, Ningbo University, Ningbo, Zhejiang 315211, China
| | - Gang Lu
- Institute of Drug Discovery Technology, Ningbo University, Ningbo, Zhejiang 315211, China
| | - Lihua Zhang
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Science, Dalian, Liaoning 116023, China
| | - Zhenbin Zhang
- Institute of Drug Discovery Technology, Ningbo University, Ningbo, Zhejiang 315211, China
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3
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Roeselová A, Maslen SL, Shivakumaraswamy S, Pellowe GA, Howell S, Joshi D, Redmond J, Kjær S, Skehel JM, Balchin D. Mechanism of chaperone coordination during cotranslational protein folding in bacteria. Mol Cell 2024; 84:2455-2471.e8. [PMID: 38908370 DOI: 10.1016/j.molcel.2024.06.002] [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: 01/22/2024] [Revised: 04/12/2024] [Accepted: 06/01/2024] [Indexed: 06/24/2024]
Abstract
Protein folding is assisted by molecular chaperones that bind nascent polypeptides during mRNA translation. Several structurally distinct classes of chaperones promote de novo folding, suggesting that their activities are coordinated at the ribosome. We used biochemical reconstitution and structural proteomics to explore the molecular basis for cotranslational chaperone action in bacteria. We found that chaperone binding is disfavored close to the ribosome, allowing folding to precede chaperone recruitment. Trigger factor recognizes compact folding intermediates that expose an extensive unfolded surface, and dictates DnaJ access to nascent chains. DnaJ uses a large surface to bind structurally diverse intermediates and recruits DnaK to sequence-diverse solvent-accessible sites. Neither Trigger factor, DnaJ, nor DnaK destabilize cotranslational folding intermediates. Instead, the chaperones collaborate to protect incipient structure in the nascent polypeptide well beyond the ribosome exit tunnel. Our findings show how the chaperone network selects and modulates cotranslational folding intermediates.
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Affiliation(s)
- Alžběta Roeselová
- Protein Biogenesis Laboratory, The Francis Crick Institute, London NW1 1AT, UK
| | - Sarah L Maslen
- Proteomics Science Technology Platform, The Francis Crick Institute, London NW1 1AT, UK
| | | | - Grant A Pellowe
- Protein Biogenesis Laboratory, The Francis Crick Institute, London NW1 1AT, UK
| | - Steven Howell
- Proteomics Science Technology Platform, The Francis Crick Institute, London NW1 1AT, UK
| | - Dhira Joshi
- Chemical Biology Science Technology Platform, The Francis Crick Institute, London NW1 1AT, UK
| | - Joanna Redmond
- Chemical Biology Science Technology Platform, The Francis Crick Institute, London NW1 1AT, UK
| | - Svend Kjær
- Structural Biology Science Technology Platform, The Francis Crick Institute, London NW1 1AT, UK
| | - J Mark Skehel
- Proteomics Science Technology Platform, The Francis Crick Institute, London NW1 1AT, UK
| | - David Balchin
- Protein Biogenesis Laboratory, The Francis Crick Institute, London NW1 1AT, UK.
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4
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Jiang T, Wan G, Zhang H, Gyawali YP, Underbakke ES, Feng C. Mapping the Intersubunit Interdomain FMN-Heme Interactions in Neuronal Nitric Oxide Synthase by Targeted Quantitative Cross-Linking Mass Spectrometry. Biochemistry 2024; 63:1395-1411. [PMID: 38747545 DOI: 10.1021/acs.biochem.4c00157] [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] [Indexed: 05/29/2024]
Abstract
Nitric oxide synthase (NOS) in mammals is a family of multidomain proteins in which interdomain electron transfer (IET) is controlled by domain-domain interactions. Calmodulin (CaM) binds to the canonical CaM-binding site in the linker region between the FMN and heme domains of NOS and allows tethered FMN domain motions, enabling an intersubunit FMN-heme IET in the output state for NO production. Our previous cross-linking mass spectrometric (XL MS) results demonstrated site-specific protein dynamics in the CaM-responsive regions of rat neuronal NOS (nNOS) reductase construct, a monomeric protein [Jiang et al., Biochemistry, 2023, 62, 2232-2237]. In this work, we have extended our combined approach of XL MS structural mapping and AlphaFold structural prediction to examine the homodimeric nNOS oxygenase/FMN (oxyFMN) construct, an established model of the NOS output state. We employed parallel reaction monitoring (PRM) based quantitative XL MS (qXL MS) to assess the CaM-induced changes in interdomain dynamics and interactions. Intersubunit cross-links were identified by mapping the cross-links onto top AlphaFold structural models, which was complemented by comparing their relative abundances in the cross-linked dimeric and monomeric bands. Furthermore, contrasting the CaM-free and CaM-bound nNOS samples shows that CaM enables the formation of the intersubunit FMN-heme docking complex and that CaM binding induces extensive, allosteric conformational changes across the NOS regions. Moreover, the observed cross-links sites specifically respond to changes in ionic strength. This indicates that interdomain salt bridges are responsible for stabilizing and orienting the output state for efficient FMN-heme IET. Taken together, our targeted qXL MS results have revealed that CaM and ionic strength modulate specific dynamic changes in the CaM/FMN/heme complexes, particularly in the context of intersubunit interdomain FMN-heme interactions.
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Affiliation(s)
- Ting Jiang
- Department of Pharmaceutical Sciences, College of Pharmacy, University of New Mexico, Albuquerque, New Mexico 87131, United States
| | - Guanghua Wan
- Department of Pharmaceutical Sciences, College of Pharmacy, University of New Mexico, Albuquerque, New Mexico 87131, United States
| | - Haikun Zhang
- Department of Pharmaceutical Sciences, College of Pharmacy, University of New Mexico, Albuquerque, New Mexico 87131, United States
| | - Yadav Prasad Gyawali
- Department of Pharmaceutical Sciences, College of Pharmacy, University of New Mexico, Albuquerque, New Mexico 87131, United States
| | - Eric S Underbakke
- Roy J. Carver Department of Biochemistry, Biophysics and Molecular Biology, Iowa State University, Ames, Iowa 50011, United States
| | - Changjian Feng
- Department of Pharmaceutical Sciences, College of Pharmacy, University of New Mexico, Albuquerque, New Mexico 87131, United States
- Department of Chemistry and Chemical Biology, University of New Mexico, Albuquerque, New Mexico 87131, United States
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5
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Rojas Echeverri JC, Hause F, Iacobucci C, Ihling CH, Tänzler D, Shulman N, Riffle M, MacLean BX, Sinz A. A Workflow for Improved Analysis of Cross-Linking Mass Spectrometry Data Integrating Parallel Accumulation-Serial Fragmentation with MeroX and Skyline. Anal Chem 2024; 96:7373-7379. [PMID: 38696819 PMCID: PMC11099889 DOI: 10.1021/acs.analchem.4c00829] [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: 02/13/2024] [Revised: 04/24/2024] [Accepted: 04/29/2024] [Indexed: 05/04/2024]
Abstract
Cross-linking mass spectrometry (XL-MS) has evolved into a pivotal technique for probing protein interactions. This study describes the implementation of Parallel Accumulation-Serial Fragmentation (PASEF) on timsTOF instruments, enhancing the detection and analysis of protein interactions by XL-MS. Addressing the challenges in XL-MS, such as the interpretation of complex spectra, low abundant cross-linked peptides, and a data acquisition bias, our current study integrates a peptide-centric approach for the analysis of XL-MS data and presents the foundation for integrating data-independent acquisition (DIA) in XL-MS with a vendor-neutral and open-source platform. A novel workflow is described for processing data-dependent acquisition (DDA) of PASEF-derived information. For this, software by Bruker Daltonics is used, enabling the conversion of these data into a format that is compatible with MeroX and Skyline software tools. Our approach significantly improves the identification of cross-linked products from complex mixtures, allowing the XL-MS community to overcome current analytical limitations.
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Affiliation(s)
- Juan Camilo Rojas Echeverri
- Department
of Pharmaceutical Chemistry and Bioanalytics, Martin-Luther-University Halle-Wittenberg, 06120 Halle, Germany
- Center
for Structural Mass Spectrometry, Martin-Luther-University
Halle-Wittenberg, 06120 Halle, Germany
| | - Frank Hause
- Department
of Pharmaceutical Chemistry and Bioanalytics, Martin-Luther-University Halle-Wittenberg, 06120 Halle, Germany
- Center
for Structural Mass Spectrometry, Martin-Luther-University
Halle-Wittenberg, 06120 Halle, Germany
- Institute
for Molecular Medicine, Martin-Luther-University
Halle-Wittenberg, 06120 Halle, Germany
| | - Claudio Iacobucci
- Department
of Pharmaceutical Chemistry and Bioanalytics, Martin-Luther-University Halle-Wittenberg, 06120 Halle, Germany
- Center
for Structural Mass Spectrometry, Martin-Luther-University
Halle-Wittenberg, 06120 Halle, Germany
- Department
of Physical and Chemical Sciences, University
of L’Aquila, 67100 L’Aquila, Italy
| | - Christian H. Ihling
- Department
of Pharmaceutical Chemistry and Bioanalytics, Martin-Luther-University Halle-Wittenberg, 06120 Halle, Germany
- Center
for Structural Mass Spectrometry, Martin-Luther-University
Halle-Wittenberg, 06120 Halle, Germany
| | - Dirk Tänzler
- Department
of Pharmaceutical Chemistry and Bioanalytics, Martin-Luther-University Halle-Wittenberg, 06120 Halle, Germany
- Center
for Structural Mass Spectrometry, Martin-Luther-University
Halle-Wittenberg, 06120 Halle, Germany
| | - Nicholas Shulman
- Department
of Genome Sciences, University of Washington, Seattle, Washington 98195, United States
| | - Michael Riffle
- Department
of Biochemistry, University of Washington, Seattle, Washington 98195, United States
| | - Brendan X. MacLean
- Department
of Genome Sciences, University of Washington, Seattle, Washington 98195, United States
| | - Andrea Sinz
- Department
of Pharmaceutical Chemistry and Bioanalytics, Martin-Luther-University Halle-Wittenberg, 06120 Halle, Germany
- Center
for Structural Mass Spectrometry, Martin-Luther-University
Halle-Wittenberg, 06120 Halle, Germany
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6
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Gizardin-Fredon H, Santo PE, Chagot ME, Charpentier B, Bandeiras TM, Manival X, Hernandez-Alba O, Cianférani S. Denaturing mass photometry for rapid optimization of chemical protein-protein cross-linking reactions. Nat Commun 2024; 15:3516. [PMID: 38664367 PMCID: PMC11045720 DOI: 10.1038/s41467-024-47732-4] [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: 01/22/2024] [Accepted: 04/11/2024] [Indexed: 04/28/2024] Open
Abstract
Chemical cross-linking reactions (XL) are an important strategy for studying protein-protein interactions (PPIs), including low abundant sub-complexes, in structural biology. However, choosing XL reagents and conditions is laborious and mostly limited to analysis of protein assemblies that can be resolved using SDS-PAGE. To overcome these limitations, we develop here a denaturing mass photometry (dMP) method for fast, reliable and user-friendly optimization and monitoring of chemical XL reactions. The dMP is a robust 2-step protocol that ensures 95% of irreversible denaturation within only 5 min. We show that dMP provides accurate mass identification across a broad mass range (30 kDa-5 MDa) along with direct label-free relative quantification of all coexisting XL species (sub-complexes and aggregates). We compare dMP with SDS-PAGE and observe that, unlike the benchmark, dMP is time-efficient (3 min/triplicate), requires significantly less material (20-100×) and affords single molecule sensitivity. To illustrate its utility for routine structural biology applications, we show that dMP affords screening of 20 XL conditions in 1 h, accurately identifying and quantifying all coexisting species. Taken together, we anticipate that dMP will have an impact on ability to structurally characterize more PPIs and macromolecular assemblies, expected final complexes but also sub-complexes that form en route.
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Affiliation(s)
- Hugo Gizardin-Fredon
- Laboratoire de Spectrométrie de Masse BioOrganique, IPHC UMR 7178, Université de Strasbourg, CNRS, Strasbourg, France
- Infrastructure Nationale de Protéomique ProFI - FR2048, Strasbourg, France
| | - Paulo E Santo
- iBET, Instituto de Biologia Experimental e Tecnológica, Apartado 12, 2781-901, Oeiras, Portugal
- Instituto de Tecnologia Química e Biológica António Xavier, Universidade Nova de Lisboa, Av. da República, 2780-157, Oeiras, Portugal
| | | | | | - Tiago M Bandeiras
- iBET, Instituto de Biologia Experimental e Tecnológica, Apartado 12, 2781-901, Oeiras, Portugal
- Instituto de Tecnologia Química e Biológica António Xavier, Universidade Nova de Lisboa, Av. da República, 2780-157, Oeiras, Portugal
| | | | - Oscar Hernandez-Alba
- Laboratoire de Spectrométrie de Masse BioOrganique, IPHC UMR 7178, Université de Strasbourg, CNRS, Strasbourg, France
- Infrastructure Nationale de Protéomique ProFI - FR2048, Strasbourg, France
| | - Sarah Cianférani
- Laboratoire de Spectrométrie de Masse BioOrganique, IPHC UMR 7178, Université de Strasbourg, CNRS, Strasbourg, France.
- Infrastructure Nationale de Protéomique ProFI - FR2048, Strasbourg, France.
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7
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Castel J, Delaux S, Hernandez-Alba O, Cianférani S. Recent advances in structural mass spectrometry methods in the context of biosimilarity assessment: from sequence heterogeneities to higher order structures. J Pharm Biomed Anal 2023; 236:115696. [PMID: 37713983 DOI: 10.1016/j.jpba.2023.115696] [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: 06/28/2023] [Revised: 08/31/2023] [Accepted: 09/01/2023] [Indexed: 09/17/2023]
Abstract
Biotherapeutics and their biosimilar versions have been flourishing in the biopharmaceutical market for several years. Structural and functional characterization is needed to achieve analytical biosimilarity through the assessment of critical quality attributes as required by regulatory authorities. The role of analytical strategies, particularly mass spectrometry-based methods, is pivotal to gathering valuable information for the in-depth characterization of biotherapeutics and biosimilarity assessment. Structural mass spectrometry methods (native MS, HDX-MS, top-down MS, etc.) provide information ranging from primary sequence assessment to higher order structure evaluation. This review focuses on recent developments and applications in structural mass spectrometry for biotherapeutic and biosimilar characterization.
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Affiliation(s)
- Jérôme Castel
- Laboratoire de Spectrométrie de Masse Bio-Organique, IPHC UMR 7178, Université de Strasbourg, CNRS, Strasbourg 67087, France; Infrastructure Nationale de Protéomique ProFI, FR2048 CNRS CEA, Strasbourg 67087, France
| | - Sarah Delaux
- Laboratoire de Spectrométrie de Masse Bio-Organique, IPHC UMR 7178, Université de Strasbourg, CNRS, Strasbourg 67087, France; Infrastructure Nationale de Protéomique ProFI, FR2048 CNRS CEA, Strasbourg 67087, France
| | - Oscar Hernandez-Alba
- Laboratoire de Spectrométrie de Masse Bio-Organique, IPHC UMR 7178, Université de Strasbourg, CNRS, Strasbourg 67087, France; Infrastructure Nationale de Protéomique ProFI, FR2048 CNRS CEA, Strasbourg 67087, France
| | - Sarah Cianférani
- Laboratoire de Spectrométrie de Masse Bio-Organique, IPHC UMR 7178, Université de Strasbourg, CNRS, Strasbourg 67087, France; Infrastructure Nationale de Protéomique ProFI, FR2048 CNRS CEA, Strasbourg 67087, France.
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8
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Mandal K, Wicaksono G, Yu C, Adams JJ, Hoopmann MR, Temple WC, Izgutdina A, Escobar BP, Gorelik M, Ihling CH, Nix MA, Naik A, Xie WH, Hübner J, Rollins LA, Reid SM, Ramos E, Kasap C, Steri V, Serrano JAC, Salangsang F, Phojanakong P, McMillan M, Gavallos V, Leavitt AD, Logan AC, Rooney CM, Eyquem J, Sinz A, Huang BJ, Stieglitz E, Smith CC, Moritz RL, Sidhu SS, Huang L, Wiita AP. Structural surfaceomics reveals an AML-specific conformation of integrin β 2 as a CAR T cellular therapy target. NATURE CANCER 2023; 4:1592-1609. [PMID: 37904046 PMCID: PMC10663162 DOI: 10.1038/s43018-023-00652-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Accepted: 09/12/2023] [Indexed: 11/01/2023]
Abstract
Safely expanding indications for cellular therapies has been challenging given a lack of highly cancer-specific surface markers. Here we explore the hypothesis that tumor cells express cancer-specific surface protein conformations that are invisible to standard target discovery pipelines evaluating gene or protein expression, and these conformations can be identified and immunotherapeutically targeted. We term this strategy integrating cross-linking mass spectrometry with glycoprotein surface capture 'structural surfaceomics'. As a proof of principle, we apply this technology to acute myeloid leukemia (AML), a hematologic malignancy with dismal outcomes and no known optimal immunotherapy target. We identify the activated conformation of integrin β2 as a structurally defined, widely expressed AML-specific target. We develop and characterize recombinant antibodies to this protein conformation and show that chimeric antigen receptor T cells eliminate AML cells and patient-derived xenografts without notable toxicity toward normal hematopoietic cells. Our findings validate an AML conformation-specific target antigen and demonstrate a tool kit for applying these strategies more broadly.
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Affiliation(s)
- Kamal Mandal
- Department of Laboratory Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Gianina Wicaksono
- Department of Laboratory Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Clinton Yu
- Department of Physiology and Biophysics, University of California Irvine, Irvine, CA, USA
| | - Jarrett J Adams
- The Donnelly Centre, University of Toronto, Toronto, Ontario, Canada
- School of Pharmacy, University of Waterloo, Kitchener, Ontario, Canada
| | | | - William C Temple
- Department of Pediatrics, Division of Hematology/Oncology, University of California San Francisco, San Francisco, CA, USA
- Department of Pediatrics, Division of Allergy, Immunology, and Bone Marrow Transplantation, University of California San Francisco, San Francisco, CA, USA
| | - Adila Izgutdina
- Department of Laboratory Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Bonell Patiño Escobar
- Department of Laboratory Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Maryna Gorelik
- The Donnelly Centre, University of Toronto, Toronto, Ontario, Canada
| | - Christian H Ihling
- Department of Pharmaceutical Chemistry and Bioanalytics, Institute of Pharmacy, Martin-Luther University Halle-Wittenberg, Halle, Germany
| | - Matthew A Nix
- Department of Laboratory Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Akul Naik
- Department of Laboratory Medicine, University of California San Francisco, San Francisco, CA, USA
| | - William H Xie
- UCSF/Gladstone Institute for Genomic Immunology, San Francisco, CA, USA
| | - Juwita Hübner
- Department of Pediatrics, Division of Hematology/Oncology, University of California San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA
| | - Lisa A Rollins
- Center for Cell and Gene Therapy, Baylor College of Medicine, Houston Methodist Hospital-Texas Children's Hospital, Houston, TX, USA
| | - Sandy M Reid
- Center for Cell and Gene Therapy, Baylor College of Medicine, Houston Methodist Hospital-Texas Children's Hospital, Houston, TX, USA
| | - Emilio Ramos
- Department of Laboratory Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Corynn Kasap
- Department of Medicine, Division of Hematology/Oncology, University of California San Francisco, San Francisco, CA, USA
| | - Veronica Steri
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA
| | - Juan Antonio Camara Serrano
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA
| | - Fernando Salangsang
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA
| | - Paul Phojanakong
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA
| | - Melanie McMillan
- Department of Laboratory Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Victor Gavallos
- Department of Laboratory Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Andrew D Leavitt
- Department of Laboratory Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Aaron C Logan
- Department of Medicine, Division of Hematology/Oncology, University of California San Francisco, San Francisco, CA, USA
| | - Cliona M Rooney
- Center for Cell and Gene Therapy, Baylor College of Medicine, Houston Methodist Hospital-Texas Children's Hospital, Houston, TX, USA
| | - Justin Eyquem
- UCSF/Gladstone Institute for Genomic Immunology, San Francisco, CA, USA
- Department of Medicine, Division of Hematology/Oncology, University of California San Francisco, San Francisco, CA, USA
| | - Andrea Sinz
- Department of Pharmaceutical Chemistry and Bioanalytics, Institute of Pharmacy, Martin-Luther University Halle-Wittenberg, Halle, Germany
| | - Benjamin J Huang
- Department of Pediatrics, Division of Hematology/Oncology, University of California San Francisco, San Francisco, CA, USA
| | - Elliot Stieglitz
- Department of Pediatrics, Division of Hematology/Oncology, University of California San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA
| | - Catherine C Smith
- Department of Medicine, Division of Hematology/Oncology, University of California San Francisco, San Francisco, CA, USA
| | | | - Sachdev S Sidhu
- The Donnelly Centre, University of Toronto, Toronto, Ontario, Canada
- School of Pharmacy, University of Waterloo, Kitchener, Ontario, Canada
| | - Lan Huang
- Department of Physiology and Biophysics, University of California Irvine, Irvine, CA, USA
| | - Arun P Wiita
- Department of Laboratory Medicine, University of California San Francisco, San Francisco, CA, USA.
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA.
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA.
- Chan Zuckerberg Biohub San Francisco, San Francisco, CA, USA.
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9
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Hao Y, Chen M, Huang X, Xu H, Wu P, Chen S. 4D-diaXLMS: Proteome-wide Four-Dimensional Data-Independent Acquisition Workflow for Cross-Linking Mass Spectrometry. Anal Chem 2023; 95:14077-14085. [PMID: 37691250 DOI: 10.1021/acs.analchem.3c02824] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/12/2023]
Abstract
Cross-linking mass spectrometry (XL-MS) is a powerful tool for examining protein structures and interactions. Nevertheless, analysis of low-abundance cross-linked peptides is often limited in the data-dependent acquisition (DDA) mode due to its semistochastic nature. To address this issue, we introduced a workflow called 4D-diaXLMS, representing the first-ever application of four-dimensional data-independent acquisition for proteome-wide cross-linking analysis. Cross-linking studies of the HeLa cell proteome were evaluated using the classical cross-linker disuccinimidyl suberate as an example. Compared with the DDA analysis, 4D-diaXLMS exhibited marked improvement in the identification coverage of cross-linked peptides, with a total increase of 36% in single-shot analysis across all 16 SCX fractions. This advantage was further amplified when reducing the fraction number to 8 and 4, resulting in 125 and 149% improvements, respectively. Using 4D-diaXLMS, up to 83% of the cross-linked peptides were repeatedly identified in three replicates, more than twice the 38% in the DDA mode. Furthermore, 4D-diaXLMS showed good performance in the quantitative analysis of yeast cross-linked peptides even in a 15-fold excess amount of HeLa cell matrix, with a low coefficient of variation and high quantitative accuracies in all concentrations. Overall, 4D-diaXLMS was proven to have high coverage, good reproducibility, and accurate quantification for in-depth XL-MS analysis in complex samples, demonstrating its immense potential for advances in the field.
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Affiliation(s)
- Yanhong Hao
- The Institute for Advanced Studies, Wuhan University, Wuhan, Hubei 430072, China
| | - Moran Chen
- The Institute for Advanced Studies, Wuhan University, Wuhan, Hubei 430072, China
| | - Xiao Huang
- The Institute for Advanced Studies, Wuhan University, Wuhan, Hubei 430072, China
| | - Hui Xu
- The Institute for Advanced Studies, Wuhan University, Wuhan, Hubei 430072, China
| | - Pengfei Wu
- The Institute for Advanced Studies, Wuhan University, Wuhan, Hubei 430072, China
| | - Suming Chen
- The Institute for Advanced Studies, Wuhan University, Wuhan, Hubei 430072, China
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10
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Nie M, Li H. Innovation in Cross-Linking Mass Spectrometry Workflows: Toward a Comprehensive, Flexible, and Customizable Data Analysis Platform. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2023; 34:1949-1956. [PMID: 37537999 DOI: 10.1021/jasms.3c00123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/05/2023]
Abstract
Cross-linking mass spectrometry (XL-MS) is widely used in the analysis of protein structure and protein-protein interactions (PPIs). Throughout the entire workflow, the utilization of cross-linkers and the interpretation of cross-linking data are the core steps. In recent years, the development of cross-linkers and analytical software mostly follow up on the classical models of non-cleavable cross-linkers such as BS3/DSS and MS-cleavable cross-linkers such as DSSO. Although such a paradigm promotes the maturity and robustness of the XL-MS field, it confines the innovation and flexibility of new cross-linkers and analytical software. This critical insight will discuss the classification, advantages, and disadvantages of existing data analysis search engines. Take the new platinum-based metal cross-linker as an example, potential pitfalls in characterization of cross-linked peptides using existing software are discussed. Finally, ideas on developing more flexible, comprehensive, and user-friendly cross-linkers and software tools are proposed.
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Affiliation(s)
- Minhan Nie
- School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou 510006, China
| | - Huilin Li
- School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou 510006, China
- Guangdong Key Laboratory of Chiral Molecule and Drug Discovery, School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou 510006, China
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11
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Birklbauer MJ, Matzinger M, Müller F, Mechtler K, Dorfer V. MS Annika 2.0 Identifies Cross-Linked Peptides in MS2-MS3-Based Workflows at High Sensitivity and Specificity. J Proteome Res 2023; 22:3009-3021. [PMID: 37566781 PMCID: PMC10476269 DOI: 10.1021/acs.jproteome.3c00325] [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: 05/31/2023] [Indexed: 08/13/2023]
Abstract
Cross-linking mass spectrometry has become a powerful tool for the identification of protein-protein interactions and for gaining insight into the structures of proteins. We previously published MS Annika, a cross-linking search engine which can accurately identify cross-linked peptides in MS2 spectra from a variety of different MS-cleavable cross-linkers. In this publication, we present MS Annika 2.0, an updated version implementing a new search algorithm that, in addition to MS2 level, only supports the processing of data from MS2-MS3-based approaches for the identification of peptides from MS3 spectra, and introduces a novel scoring function for peptides identified across multiple MS stages. Detected cross-links are validated by estimating the false discovery rate (FDR) using a target-decoy approach. We evaluated the MS3-search-capabilities of MS Annika 2.0 on five different datasets covering a variety of experimental approaches and compared it to XlinkX and MaXLinker, two other cross-linking search engines. We show that MS Annika detects up to 4 times more true unique cross-links while simultaneously yielding less false positive hits and therefore a more accurate FDR estimation than the other two search engines. All mass spectrometry proteomics data along with result files have been deposited to the ProteomeXchange consortium via the PRIDE partner repository with the dataset identifier PXD041955.
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Affiliation(s)
- Micha J. Birklbauer
- Bioinformatics
Research Group, University of Applied Sciences
Upper Austria, Softwarepark
11, 4232 Hagenberg, Austria
| | - Manuel Matzinger
- Research
Institute of Molecular Pathology (IMP), Vienna BioCenter (VBC), Campus-Vienna-Biocenter 1, 1030 Vienna, Austria
| | - Fränze Müller
- Research
Institute of Molecular Pathology (IMP), Vienna BioCenter (VBC), Campus-Vienna-Biocenter 1, 1030 Vienna, Austria
| | - Karl Mechtler
- Research
Institute of Molecular Pathology (IMP), Vienna BioCenter (VBC), Campus-Vienna-Biocenter 1, 1030 Vienna, Austria
- Institute
of Molecular Biotechnology (IMBA), Austrian Academy of Sciences, Vienna
BioCenter (VBC), Dr.
Bohr-Gasse 3, 1030 Vienna, Austria
- Gregor
Mendel Institute (GMI), Austrian Academy of Sciences, Vienna BioCenter
(VBC), Dr. Bohr-Gasse
3, 1030 Vienna, Austria
| | - Viktoria Dorfer
- Bioinformatics
Research Group, University of Applied Sciences
Upper Austria, Softwarepark
11, 4232 Hagenberg, Austria
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12
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Jiang T, Wan G, Zhang H, Gyawali YP, Underbakke ES, Feng C. Probing Protein Dynamics in Neuronal Nitric Oxide Synthase by Quantitative Cross-Linking Mass Spectrometry. Biochemistry 2023; 62:2232-2237. [PMID: 37459398 PMCID: PMC10529231 DOI: 10.1021/acs.biochem.3c00245] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/02/2023]
Abstract
Nitric oxide synthase (NOS) is responsible for the biosynthesis of nitric oxide (NO), an important signaling molecule controlling diverse physiological processes such as neurotransmission and vasodilation. Neuronal NOS (nNOS) is a calmodulin (CaM)-controlled enzyme. In the absence of CaM, several intrinsic control elements, along with NADP+ binding, suppress electron transfer across the NOS domains. CaM binding relieves the inhibitory factors to promote the electron transport required for NO production. The regulatory dynamics of nNOS control elements are critical to governing NO signaling, yet mechanistic questions remain, because the intrinsic dynamics of NOS thwart traditional structural biology approaches. Here, we have employed cross-linking mass spectrometry (XL MS) to probe regulatory dynamics in nNOS, focusing on the CaM-responsive control elements. Quantitative XL MS revealed conformational changes differentiating the nNOS reductase (nNOSred) alone, nNOSred with NADP+, nNOS-CaM, and nNOS-CaM with NADP+. We observed distinct effects of CaM vs NADP+ on cross-linking patterns in nNOSred. CaM induces striking global changes, while the impact of NADP+ is primarily localized to the NADPH-binding subdomain. Moreover, CaM increases the abundance of intra-nNOS cross-links that are related to the formation of the inter-CaM-nNOS cross-links. Taken together, these XL MS results demonstrate that CaM and NADP+ site-specifically alter the nNOS conformational landscape.
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Affiliation(s)
- Ting Jiang
- College of Pharmacy, University of New Mexico, Albuquerque, NM 87131
| | - Guanghua Wan
- College of Pharmacy, University of New Mexico, Albuquerque, NM 87131
| | - Haikun Zhang
- College of Pharmacy, University of New Mexico, Albuquerque, NM 87131
| | | | - Eric S. Underbakke
- Roy J. Carver Department of Biochemistry, Biophysics and Molecular Biology, Iowa State University, Ames, IA 50011
| | - Changjian Feng
- College of Pharmacy, University of New Mexico, Albuquerque, NM 87131
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13
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Gellen G, Klement E, Biwott K, Schlosser G, Kalló G, Csősz É, Medzihradszky KF, Bacso Z. Cross-Linking Mass Spectrometry on P-Glycoprotein. Int J Mol Sci 2023; 24:10627. [PMID: 37445813 DOI: 10.3390/ijms241310627] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Revised: 06/21/2023] [Accepted: 06/22/2023] [Indexed: 07/15/2023] Open
Abstract
The ABC transporter P-glycoprotein (Pgp) has been found to be involved in multidrug resistance in tumor cells. Lipids and cholesterol have a pivotal role in Pgp's conformations; however, it is often difficult to investigate it with conventional structural biology techniques. Here, we applied robust approaches coupled with cross-linking mass spectrometry (XL-MS), where the natural lipid environment remains quasi-intact. Two experimental approaches were carried out using different cross-linkers (i) on living cells, followed by membrane preparation and immunoprecipitation enrichment of Pgp, and (ii) on-bead, subsequent to membrane preparation and immunoprecipitation. Pgp-containing complexes were enriched employing extracellular monoclonal anti-Pgp antibodies on magnetic beads, followed by on-bead enzymatic digestion. The LC-MS/MS results revealed mono-links on Pgp's solvent-accessible residues, while intraprotein cross-links confirmed a complex interplay between extracellular, transmembrane, and intracellular segments of the protein, of which several have been reported to be connected to cholesterol. Harnessing the MS results and those of molecular docking, we suggest an epitope for the 15D3 cholesterol-dependent mouse monoclonal antibody. Additionally, enriched neighbors of Pgp prove the strong connection of Pgp to the cytoskeleton and other cholesterol-regulated proteins. These findings suggest that XL-MS may be utilized for protein structure and network analyses in such convoluted systems as membrane proteins.
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Affiliation(s)
- Gabriella Gellen
- MTA-ELTE Lendület Ion Mobility Mass Spectrometry Research Group, Department of Analytical Chemistry, Institute of Chemistry, ELTE Eötvös Loránd University, H-1117 Budapest, Hungary
- Department of Biophysics and Cell Biology, Faculty of Medicine, University of Debrecen, Egyetem tér 1., H-4032 Debrecen, Hungary
- Doctoral School of Molecular Cell and Immune Biology, University of Debrecen, Egyetem tér 1., H-4032 Debrecen, Hungary
| | - Eva Klement
- Single Cell Omics Advanced Core Facility, HCEMM, H-6728 Szeged, Hungary
- Laboratory of Proteomics Research, BRC, H-6726 Szeged, Hungary
| | - Kipchumba Biwott
- Department of Biophysics and Cell Biology, Faculty of Medicine, University of Debrecen, Egyetem tér 1., H-4032 Debrecen, Hungary
- Doctoral School of Molecular Cell and Immune Biology, University of Debrecen, Egyetem tér 1., H-4032 Debrecen, Hungary
| | - Gitta Schlosser
- MTA-ELTE Lendület Ion Mobility Mass Spectrometry Research Group, Department of Analytical Chemistry, Institute of Chemistry, ELTE Eötvös Loránd University, H-1117 Budapest, Hungary
| | - Gergő Kalló
- Department of Biochemistry and Molecular Biology, Faculty of Medicine, University of Debrecen, Egyetem tér 1., H-4032 Debrecen, Hungary
- Proteomics Core Facility, Department of Biochemistry and Molecular Biology, Faculty of Medicine, University of Debrecen, Egyetem tér 1., H-4032 Debrecen, Hungary
| | - Éva Csősz
- Department of Biochemistry and Molecular Biology, Faculty of Medicine, University of Debrecen, Egyetem tér 1., H-4032 Debrecen, Hungary
- Proteomics Core Facility, Department of Biochemistry and Molecular Biology, Faculty of Medicine, University of Debrecen, Egyetem tér 1., H-4032 Debrecen, Hungary
| | | | - Zsolt Bacso
- Department of Biophysics and Cell Biology, Faculty of Medicine, University of Debrecen, Egyetem tér 1., H-4032 Debrecen, Hungary
- Doctoral School of Molecular Cell and Immune Biology, University of Debrecen, Egyetem tér 1., H-4032 Debrecen, Hungary
- Faculty of Pharmacology, University of Debrecen, Egyetem tér 1., H-4032 Debrecen, Hungary
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14
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Zercher BP, Gozzo TA, Wageman A, Bush MF. Enhancing the Depth of Analyses with Next-Generation Ion Mobility Experiments. ANNUAL REVIEW OF ANALYTICAL CHEMISTRY (PALO ALTO, CALIF.) 2023; 16:27-48. [PMID: 37000959 PMCID: PMC10545071 DOI: 10.1146/annurev-anchem-091522-031329] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Recent developments in ion mobility (IM) technology have expanded the capability to separate and characterize gas-phase ions of biomolecules, especially when paired with mass spectrometry. This next generation of IM technology has been ushered in by creative innovation focused on both instrument architectures and how electric fields are applied. In this review, we focus on the application of high-resolution and multidimensional IM to biomolecular analyses, encompassing the fields of glycomics, lipidomics, peptidomics, and proteomics. We highlight selected research that demonstrates the application of the new IM toolkit to challenging biomolecular systems. Through our review of recently published literature, we outline the current strengths of respective technologies and perspectives for future applications.
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Affiliation(s)
- Benjamin P Zercher
- Department of Chemistry, University of Washington, Seattle, Washington, USA;
| | - Theresa A Gozzo
- Department of Chemistry, University of Washington, Seattle, Washington, USA;
| | - AnneClaire Wageman
- Department of Chemistry, University of Washington, Seattle, Washington, USA;
| | - Matthew F Bush
- Department of Chemistry, University of Washington, Seattle, Washington, USA;
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15
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Jiao F, Salituro LJ, Yu C, Gutierrez CB, Rychnovsky SD, Huang L. Exploring an Alternative Cysteine-Reactive Chemistry to Enable Proteome-Wide PPI Analysis by Cross-Linking Mass Spectrometry. Anal Chem 2023; 95:2532-2539. [PMID: 36652389 DOI: 10.1021/acs.analchem.2c04986] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
The development of MS-cleavable cross-linking mass spectrometry (XL-MS) has enabled the effective capture and identification of endogenous protein-protein interactions (PPIs) and their residue contacts at the global scale without cell engineering. So far, only lysine-reactive cross-linkers have been successfully applied for proteome-wide PPI profiling. However, lysine cross-linkers alone cannot uncover the complete PPI map in cells. Previously, we have developed a maleimide-based cysteine-reactive MS-cleavable cross-linker (bismaleimide sulfoxide (BMSO)) that is effective for mapping PPIs of protein complexes to yield interaction contacts complementary to lysine-reactive reagents. While successful, the hydrolysis and limited selectivity of maleimides at physiological pH make their applications in proteome-wide XL-MS challenging. To enable global PPI mapping, we have explored an alternative cysteine-labeling chemistry and thus designed and synthesized a sulfoxide-containing MS-cleavable haloacetamide-based cross-linker, Dibromoacetamide sulfoxide (DBrASO). Our results have demonstrated that DBrASO cross-linked peptides display the same fragmentation characteristics as other sulfoxide-containing MS-cleavable cross-linkers, permitting their unambiguous identification by MSn. In combination with a newly developed two-dimensional peptide fractionation method, we have successfully performed DBrASO-based XL-MS analysis of HEK293 cell lysates and demonstrated its capability to complement lysine-reactive reagents and expand PPI coverage at the systems-level.
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Affiliation(s)
- Fenglong Jiao
- Department of Physiology and Biophysics, University of California, Irvine, Irvine, California 92697, United States
| | - Leah J Salituro
- Department of Chemistry, University of California, Irvine, Irvine, California 92697, United States
| | - Clinton Yu
- Department of Physiology and Biophysics, University of California, Irvine, Irvine, California 92697, United States
| | - Craig B Gutierrez
- Department of Physiology and Biophysics, University of California, Irvine, Irvine, California 92697, United States
| | - Scott D Rychnovsky
- Department of Chemistry, University of California, Irvine, Irvine, California 92697, United States
| | - Lan Huang
- Department of Physiology and Biophysics, University of California, Irvine, Irvine, California 92697, United States
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16
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Diecker J, Dörner W, Rüschenbaum J, Mootz HD. Unraveling Structural Information of Multi-Domain Nonribosomal Peptide Synthetases by Using Photo-Cross-Linking Analysis with Genetic Code Expansion. Methods Mol Biol 2023; 2670:165-185. [PMID: 37184704 DOI: 10.1007/978-1-0716-3214-7_8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/16/2023]
Abstract
Nonribosomal peptide synthetases (NRPSs) are large, multifunctional enzymes that facilitate the stepwise synthesis of modified peptides, many of which serve as important pharmaceutical products. Typically, NRPSs contain one module for the incorporation of one amino acid into the growing peptide chain. A module consists of the domains required for activation, covalent binding, condensation, termination, and optionally modification of the aminoacyl or peptidyl moiety. We here describe a protocol using genetically encoded photo-cross-linking amino acids to probe the 3D architecture of NRPSs by determining spatial proximity constraints. p-benzoyl-L-phenylalanine (BpF) is incorporated at positions of presumed contact interfaces between domains. The covalent cross-link products are visualized by SDS-PAGE-based methods and precisely mapped by tandem mass spectrometry. Originally intended to study the communication (COM) domains, a special pair of docking domains of unknown structure between two interacting subunits of one NRPS system, this cross-linking approach was also found to be useful to interrogate the spatial proximity of domains that are not connected on the level of the primary structure. The presented photo-cross-linking technique thus provides structural insights complementary to those obtained by protein crystallography and reports on the protein in solution.
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Affiliation(s)
- Julia Diecker
- University of Münster, Institute of Biochemistry, Münster, Germany
| | - Wolfgang Dörner
- University of Münster, Institute of Biochemistry, Münster, Germany
| | | | - Henning D Mootz
- University of Münster, Institute of Biochemistry, Münster, Germany.
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17
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Di Stefano LH, Saba LJ, Oghbaie M, Jiang H, McKerrow W, Benitez-Guijarro M, Taylor MS, LaCava J. Affinity-Based Interactome Analysis of Endogenous LINE-1 Macromolecules. Methods Mol Biol 2023; 2607:215-256. [PMID: 36449166 DOI: 10.1007/978-1-0716-2883-6_12] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/05/2022]
Abstract
During their proliferation and the host's concomitant attempts to suppress it, LINE-1 (L1) retrotransposons give rise to a collection of heterogeneous ribonucleoproteins (RNPs); their protein and RNA compositions remain poorly defined. The constituents of L1-associated macromolecules can differ depending on numerous factors, including, for example, position within the L1 life cycle, whether the macromolecule is productive or under suppression, and the cell type within which the proliferation is occurring. This chapter describes techniques that aid the capture and characterization of protein and RNA components of L1 macromolecules from tissues that natively express them. The protocols described have been applied to embryonal carcinoma cell lines that are popular model systems for L1 molecular biology (e.g., N2102Ep, NTERA-2, and PA-1 cells), as well as colorectal cancer tissues. N2102Ep cells are given as the use case for this chapter; the protocols should be applicable to essentially any tissue exhibiting endogenous L1 expression with minor modifications.
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18
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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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19
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Santorelli L, Caterino M, Costanzo M. Dynamic Interactomics by Cross-Linking Mass Spectrometry: Mapping the Daily Cell Life in Postgenomic Era. OMICS : A JOURNAL OF INTEGRATIVE BIOLOGY 2022; 26:633-649. [PMID: 36445175 DOI: 10.1089/omi.2022.0137] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/03/2022]
Abstract
The majority of processes that occur in daily cell life are modulated by hundreds to thousands of dynamic protein-protein interactions (PPI). The resulting protein complexes constitute a tangled network that, with its continuous remodeling, builds up highly organized functional units. Thus, defining the dynamic interactome of one or more proteins allows determining the full range of biological activities these proteins are capable of. This conceptual approach is poised to gain further traction and significance in the current postgenomic era wherein the treatment of severe diseases needs to be tackled at both genomic and PPI levels. This also holds true for COVID-19, a multisystemic disease affecting biological networks across the biological hierarchy from genome to proteome to metabolome. In this overarching context and the current historical moment of the COVID-19 pandemic where systems biology increasingly comes to the fore, cross-linking mass spectrometry (XL-MS) has become highly relevant, emerging as a powerful tool for PPI discovery and characterization. This expert review highlights the advanced XL-MS approaches that provide in vivo insights into the three-dimensional protein complexes, overcoming the static nature of common interactomics data and embracing the dynamics of the cell proteome landscape. Many XL-MS applications based on the use of diverse cross-linkers, MS detection methods, and predictive bioinformatic tools for single proteins or proteome-wide interactions were shown. We conclude with a future outlook on XL-MS applications in the field of structural proteomics and ways to sustain the remarkable flexibility of XL-MS for dynamic interactomics and structural studies in systems biology and planetary health.
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Affiliation(s)
- Lucia Santorelli
- Department of Oncology and Hematology-Oncology, University of Milano, Milan, Italy.,IFOM ETS, The AIRC Institute of Molecular Oncology, Milan, Italy
| | - Marianna Caterino
- Department of Molecular Medicine and Medical Biotechnology, University of Naples Federico II, Naples, Italy.,CEINGE-Biotecnologie Avanzate s.c.ar.l., Naples, Italy
| | - Michele Costanzo
- Department of Molecular Medicine and Medical Biotechnology, University of Naples Federico II, Naples, Italy.,CEINGE-Biotecnologie Avanzate s.c.ar.l., Naples, Italy
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20
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Dafun AS, Marcoux J. Structural mass spectrometry of membrane proteins. BIOCHIMICA ET BIOPHYSICA ACTA. PROTEINS AND PROTEOMICS 2022; 1870:140813. [PMID: 35750312 DOI: 10.1016/j.bbapap.2022.140813] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Revised: 06/10/2022] [Accepted: 06/17/2022] [Indexed: 06/15/2023]
Abstract
The analysis of proteins and protein complexes by mass spectrometry (MS) has come a long way since the invention of electrospray ionization (ESI) in the mid 80s. Originally used to characterize small soluble polypeptide chains, MS has progressively evolved over the past 3 decades towards the analysis of samples of ever increasing heterogeneity and complexity, while the instruments have become more and more sensitive and resolutive. The proofs of concepts and first examples of most structural MS methods appeared in the early 90s. However, their application to membrane proteins, key targets in the biopharma industry, is more recent. Nowadays, a wealth of information can be gathered from such MS-based methods, on all aspects of membrane protein structure: sequencing (and more precisely proteoform characterization), but also stoichiometry, non-covalent ligand binding (metals, drug, lipids, carbohydrates), conformations, dynamics and distance restraints for modelling. In this review, we present the concept and some historical and more recent applications on membrane proteins, for the major structural MS methods.
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Affiliation(s)
- Angelique Sanchez Dafun
- Institut de Pharmacologie et de Biologie Structurale (IPBS), Université de Toulouse, CNRS, UPS, Toulouse, France
| | - Julien Marcoux
- Institut de Pharmacologie et de Biologie Structurale (IPBS), Université de Toulouse, CNRS, UPS, Toulouse, France.
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21
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Britt HM, Cragnolini T, Khatun S, Hatimy A, James J, Page N, Williams JP, Hughes C, Denny R, Thalassinos K, Vissers JPC. Evaluation of acquisition modes for semi-quantitative analysis by targeted and untargeted mass spectrometry. RAPID COMMUNICATIONS IN MASS SPECTROMETRY : RCM 2022; 36:e9308. [PMID: 35353398 PMCID: PMC9287043 DOI: 10.1002/rcm.9308] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Revised: 03/26/2022] [Accepted: 03/27/2022] [Indexed: 06/14/2023]
Abstract
RATIONALE Analyte quantitation by mass spectrometry underpins a diverse range of scientific endeavors. The fast-growing field of mass spectrometer development has resulted in several targeted and untargeted acquisition modes suitable for these applications. By characterizing the acquisition methods available on an ion mobility (IM)-enabled orthogonal acceleration time-of-flight (oa-ToF) instrument, the optimum modes for analyte semi-quantitation can be deduced. METHODS Serial dilutions of commercial metabolite, peptide, or cross-linked peptide analytes were prepared in matrices of human urine or Escherichia coli digest. Each analyte dilution was introduced into an IM separation-enabled oa-ToF mass spectrometer by reversed-phase liquid chromatography and electrospray ionization. Data were acquired for each sample in duplicate using nine different acquisition modes, including four IM-enabled acquisitions modes, available on the mass spectrometer. RESULTS Five (metabolite) or seven (peptide/cross-linked peptide) point calibration curves were prepared for analytes across each of the acquisition modes. A nonlinear response was observed at high concentrations for some modes, attributed to saturation effects. Two correction methods, one MS1 isotope-correction and one MS2 ion intensity-correction, were applied to address this observation, resulting in an up to twofold increase in dynamic range. By averaging the semi-quantitative results across analyte classes, two parameters, linear dynamic range (LDR) and lower limit of quantification (LLOQ), were determined to evaluate each mode. CONCLUSION A comparison of the acquisition modes revealed that data-independent acquisition and parallel reaction monitoring methods are most robust for semi-quantitation when considering achievable LDR and LLOQ. IM-enabled modes exhibited sensitivity increases, but a simultaneous reduction in dynamic range required correction methods to recover. These findings will assist users in identifying the optimum acquisition mode for their analyte quantitation needs, supporting a diverse range of applications and providing guidance for future acquisition mode developments.
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Affiliation(s)
- Hannah M. Britt
- Institute of Structural and Molecular Biology, Division of BiosciencesUniversity College LondonLondonUK
| | - Tristan Cragnolini
- Institute of Structural and Molecular Biology, Division of BiosciencesUniversity College LondonLondonUK
- Institute of Structural and Molecular Biology, Birkbeck CollegeUniversity of LondonLondonUK
| | - Suniya Khatun
- Institute of Structural and Molecular Biology, Division of BiosciencesUniversity College LondonLondonUK
| | - Abubakar Hatimy
- Institute of Structural and Molecular Biology, Division of BiosciencesUniversity College LondonLondonUK
| | - Juliette James
- Institute of Structural and Molecular Biology, Division of BiosciencesUniversity College LondonLondonUK
| | - Nathanael Page
- Institute of Structural and Molecular Biology, Division of BiosciencesUniversity College LondonLondonUK
- LGC GroupTeddingtonUK
| | | | | | | | - Konstantinos Thalassinos
- Institute of Structural and Molecular Biology, Division of BiosciencesUniversity College LondonLondonUK
- Institute of Structural and Molecular Biology, Birkbeck CollegeUniversity of LondonLondonUK
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22
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Petrotchenko EV, Borchers CH. Protein Chemistry Combined with Mass Spectrometry for Protein Structure Determination. Chem Rev 2021; 122:7488-7499. [PMID: 34968047 DOI: 10.1021/acs.chemrev.1c00302] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
The advent of soft-ionization mass spectrometry for biomolecules has opened up new possibilities for the structural analysis of proteins. Combining protein chemistry methods with modern mass spectrometry has led to the emergence of the distinct field of structural proteomics. Multiple protein chemistry approaches, such as surface modification, limited proteolysis, hydrogen-deuterium exchange, and cross-linking, provide diverse and often orthogonal structural information on the protein systems studied. Combining experimental data from these various structural proteomics techniques provides a more comprehensive examination of the protein structure and increases confidence in the ultimate findings. Here, we review various types of experimental data from structural proteomics approaches with an emphasis on the use of multiple complementary mass spectrometric approaches to provide experimental constraints for the solving of protein structures.
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Affiliation(s)
- Evgeniy V Petrotchenko
- Segal Cancer Proteomics Centre, Lady Davis Institute, Jewish General Hospital, McGill University, Montreal, Quebec H3T 1E2, Canada.,Center for Computational and Data-Intensive Science and Engineering, Skolkovo Institute of Science and Technology, Moscow 121205, Russia
| | - Christoph H Borchers
- Segal Cancer Proteomics Centre, Lady Davis Institute, Jewish General Hospital, McGill University, Montreal, Quebec H3T 1E2, Canada.,Center for Computational and Data-Intensive Science and Engineering, Skolkovo Institute of Science and Technology, Moscow 121205, Russia.,Gerald Bronfman Department of Oncology, Jewish General Hospital, McGill University, Montreal, Quebec H3T 1E2, Canada
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23
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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: 92] [Impact Index Per Article: 30.7] [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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24
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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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25
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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: 63] [Impact Index Per Article: 21.0] [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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