1
|
Li G, Liu Y, Li L. Nanosecond Photochemical Reaction (nsPCR) for Enhanced Mass Spectrometric Identification, Quantification, and Visualization of Metabolites and Neuropeptides. Methods Mol Biol 2022; 2437:143-157. [PMID: 34902146 PMCID: PMC8823285 DOI: 10.1007/978-1-0716-2030-4_10] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/24/2023]
Abstract
Small-molecule (e.g., metabolite) and low-abundance neuropeptide analyses by mass spectrometry (MS) represent important research directions and have witnessed tremendous growth and developments during past decades. With innate advantages of MS and gentle nature of soft ionization techniques including electrospray ionization (ESI) and matrix-assisted laser desorption/ionization (MALDI), profiling and visualization of these bioactive metabolites and neuropeptides have undergone technological advancements that can be applied to real biological systems, although numerous challenges still exist. We herein present a rapid and efficient strategy to improve both metabolite and neuropeptide analysis, the nanosecond photochemical reaction (nsPCR)-enabled fast chemical derivatization. Amine-directed chemoselectivity facilitates the rapid tagging on amine-containing metabolites and neuropeptides, resulting in improved detection sensitivity. Additionally, the nsPCR generates a localized pH jump zone and enables localized thermophoresis at nanosecond timescale which benefits on-demand matrix removal during MALDI-MS identification and visualization of low-abundance biomolecules. A step-by-step nsPCR experimental protocol is introduced in detail herein for both spot analysis and imaging analysis, followed by suggestions for data analysis to ensure successful application of the nsPCR strategy.
Collapse
Affiliation(s)
- Gongyu Li
- School of Pharmacy, University of Wisconsin-Madison, Madison, WI, USA
- Research Center for Analytical Science and Tianjin Key Laboratory of Biosensing and Molecular Recognition, College of Chemistry, Nankai University, Tianjin, China
| | - Yuan Liu
- School of Pharmacy, University of Wisconsin-Madison, Madison, WI, USA
| | - Lingjun Li
- School of Pharmacy, University of Wisconsin-Madison, Madison, WI, USA.
| |
Collapse
|
2
|
Li G, Ma F, Cao Q, Zheng Z, DeLaney K, Liu R, Li L. Nanosecond photochemically promoted click chemistry for enhanced neuropeptide visualization and rapid protein labeling. Nat Commun 2019; 10:4697. [PMID: 31619683 PMCID: PMC6795811 DOI: 10.1038/s41467-019-12548-0] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2019] [Accepted: 09/17/2019] [Indexed: 12/28/2022] Open
Abstract
Comprehensive protein identification and concomitant structural probing of proteins are of great biological significance. However, this is challenging to accomplish simultaneously in one confined space. Here, we develop a nanosecond photochemical reaction (nsPCR)-based click chemistry, capable of structural probing of proteins and enhancing their identifications through on-demand removal of surrounding matrices within nanoseconds. The nsPCR is initiated using a photoactive compound, 2-nitrobenzaldehyde (NBA), and is examined by matrix-assisted laser desorption/ionization-mass spectrometry (MALDI-MS). Benefiting from the on-demand matrix-removal effect, this nsPCR strategy enables enhanced neuropeptide identification and visualization from complex tissue samples such as mouse brain tissue. The design shows great promise for structural probing of proteins up to 155 kDa due to the exclusive accessibility of nsPCR to primary amine groups, as demonstrated by its general applicability using a series of proteins with various lysine residues from multiple sample sources, with accumulated labeling efficiencies greater than 90%. Mass spectrometry-based quantitative proteomics aim to identify and quantify proteins from complex biological samples. Here, the authors developed a method for simultaneous high-throughput protein labelling and on-demand matrix removal within nanoseconds.
Collapse
Affiliation(s)
- Gongyu Li
- School of Pharmacy, University of Wisconsin-Madison, Madison, WI, 53705, USA
| | - Fengfei Ma
- School of Pharmacy, University of Wisconsin-Madison, Madison, WI, 53705, USA
| | - Qinjingwen Cao
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI, 53705, USA
| | - Zhen Zheng
- School of Pharmacy, University of Wisconsin-Madison, Madison, WI, 53705, USA
| | - Kellen DeLaney
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI, 53705, USA
| | - Rui Liu
- School of Pharmacy, University of Wisconsin-Madison, Madison, WI, 53705, USA
| | - Lingjun Li
- School of Pharmacy, University of Wisconsin-Madison, Madison, WI, 53705, USA. .,Department of Chemistry, University of Wisconsin-Madison, Madison, WI, 53705, USA.
| |
Collapse
|
3
|
Rossato M, Miralles G, M'Kadmi C, Maingot M, Amblard M, Mouillac B, Gagne D, Martinez J, Subra G, Enjalbal C, Cantel S. Quantitative MALDI-MS Binding Assays: An Alternative to Radiolabeling. ChemMedChem 2016; 11:2582-2587. [PMID: 27922213 DOI: 10.1002/cmdc.201600447] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2016] [Revised: 10/27/2016] [Indexed: 12/20/2022]
Abstract
Radiolabeling of ligands is still the gold standard in the study of high-affinity receptor-ligand interactions. In an effort toward safer and simpler alternatives to the use of radioisotopes, we developed a quantitative and highly sensitive matrix-assisted laser desorption ionization mass spectrometry (MALDI-MS) method that relies on the use of chemically tagged ligands designed to be specifically detectable when present as traces in complex biological mixtures such as cellular lysates. This innovative technology allows easy, sensitive detection and accurate quantification of analytes at the sub-nanomolar level. After statistical validation, we were able to perform pharmacological evaluations of G protein-coupled receptor (V1A-R)-ligand interactions. Both saturation and competitive binding assays were successfully processed.
Collapse
Affiliation(s)
- Maxime Rossato
- Institut des Biomolécules Max Mousseron (IBMM), UMR5247 CNRS, ENSCM, Université de Montpellier, Place E. Bataillon, 34095, Montpellier Cedex 5, France
| | - Guillaume Miralles
- Institut des Biomolécules Max Mousseron (IBMM), UMR5247 CNRS, ENSCM, Université de Montpellier, Place E. Bataillon, 34095, Montpellier Cedex 5, France
| | - Céline M'Kadmi
- Institut des Biomolécules Max Mousseron (IBMM), UMR5247 CNRS, ENSCM, Université de Montpellier, Place E. Bataillon, 34095, Montpellier Cedex 5, France
| | - Mathieu Maingot
- Institut des Biomolécules Max Mousseron (IBMM), UMR5247 CNRS, ENSCM, Université de Montpellier, Place E. Bataillon, 34095, Montpellier Cedex 5, France
| | - Muriel Amblard
- Institut des Biomolécules Max Mousseron (IBMM), UMR5247 CNRS, ENSCM, Université de Montpellier, Place E. Bataillon, 34095, Montpellier Cedex 5, France
| | - Bernard Mouillac
- Institut de Génomique Fonctionnelle (IGF), 141 Rue de la Cardonille, 34090, Montpellier, France
| | - Didier Gagne
- Institut des Biomolécules Max Mousseron (IBMM), UMR5247 CNRS, ENSCM, Université de Montpellier, Place E. Bataillon, 34095, Montpellier Cedex 5, France
| | - Jean Martinez
- Institut des Biomolécules Max Mousseron (IBMM), UMR5247 CNRS, ENSCM, Université de Montpellier, Place E. Bataillon, 34095, Montpellier Cedex 5, France
| | - Gilles Subra
- Institut des Biomolécules Max Mousseron (IBMM), UMR5247 CNRS, ENSCM, Université de Montpellier, Place E. Bataillon, 34095, Montpellier Cedex 5, France
| | - Christine Enjalbal
- Institut des Biomolécules Max Mousseron (IBMM), UMR5247 CNRS, ENSCM, Université de Montpellier, Place E. Bataillon, 34095, Montpellier Cedex 5, France
| | - Sonia Cantel
- Institut des Biomolécules Max Mousseron (IBMM), UMR5247 CNRS, ENSCM, Université de Montpellier, Place E. Bataillon, 34095, Montpellier Cedex 5, France
| |
Collapse
|
4
|
Nguyen-Huynh NT, Sharov G, Potel C, Fichter P, Trowitzsch S, Berger I, Lamour V, Schultz P, Potier N, Leize-Wagner E. Chemical cross-linking and mass spectrometry to determine the subunit interaction network in a recombinant human SAGA HAT subcomplex. Protein Sci 2015; 24:1232-46. [PMID: 25753033 DOI: 10.1002/pro.2676] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2014] [Revised: 03/03/2015] [Accepted: 03/03/2015] [Indexed: 01/04/2023]
Abstract
Understanding the way how proteins interact with each other to form transient or stable protein complexes is a key aspect in structural biology. In this study, we combined chemical cross-linking with mass spectrometry to determine the binding stoichiometry and map the protein-protein interaction network of a human SAGA HAT subcomplex. MALDI-MS equipped with high mass detection was used to follow the cross-linking reaction using bis[sulfosuccinimidyl] suberate (BS3) and confirm the heterotetrameric stoichiometry of the specific stabilized subcomplex. Cross-linking with isotopically labeled BS3 d0-d4 followed by trypsin digestion allowed the identification of intra- and intercross-linked peptides using two dedicated search engines: pLink and xQuest. The identified interlinked peptides suggest a strong network of interaction between GCN5, ADA2B and ADA3 subunits; SGF29 is interacting with GCN5 and ADA3 but not with ADA2B. These restraint data were combined to molecular modeling and a low-resolution interacting model for the human SAGA HAT subcomplex could be proposed, illustrating the potential of an integrative strategy using cross-linking and mass spectrometry for addressing the structural architecture of multiprotein complexes.
Collapse
Affiliation(s)
- Nha-Thi Nguyen-Huynh
- Laboratoire de Spectrométrie de Masse des Interactions et des Systèmes (LSMIS) UMR 7140 CNRS/Université de Strasbourg - "Chimie de la Matière Complexe", 1 Rue Blaise Pascal, 67008, Strasbourg, France
| | - Grigory Sharov
- Integrated Structural Biology Department, Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), UMR 7104, INSERM U964, 1 rue Laurent Fries, 67404, Illkirch, France
| | - Clément Potel
- Laboratoire de Spectrométrie de Masse des Interactions et des Systèmes (LSMIS) UMR 7140 CNRS/Université de Strasbourg - "Chimie de la Matière Complexe", 1 Rue Blaise Pascal, 67008, Strasbourg, France
| | - Pélagie Fichter
- Integrated Structural Biology Department, Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), UMR 7104, INSERM U964, 1 rue Laurent Fries, 67404, Illkirch, France
| | - Simon Trowitzsch
- European Molecular Biology Laboratory (EMBL), Grenoble Outstation, 6 rue Jules Horowitz, 38042 Grenoble, France
| | - Imre Berger
- European Molecular Biology Laboratory (EMBL), Grenoble Outstation, 6 rue Jules Horowitz, 38042 Grenoble, France
| | - Valérie Lamour
- Integrated Structural Biology Department, Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), UMR 7104, INSERM U964, 1 rue Laurent Fries, 67404, Illkirch, France
| | - Patrick Schultz
- Integrated Structural Biology Department, Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), UMR 7104, INSERM U964, 1 rue Laurent Fries, 67404, Illkirch, France
| | - Noëlle Potier
- Laboratoire de Spectrométrie de Masse des Interactions et des Systèmes (LSMIS) UMR 7140 CNRS/Université de Strasbourg - "Chimie de la Matière Complexe", 1 Rue Blaise Pascal, 67008, Strasbourg, France
| | - Emmanuelle Leize-Wagner
- Laboratoire de Spectrométrie de Masse des Interactions et des Systèmes (LSMIS) UMR 7140 CNRS/Université de Strasbourg - "Chimie de la Matière Complexe", 1 Rue Blaise Pascal, 67008, Strasbourg, France
| |
Collapse
|
5
|
Paramelle D, Miralles G, Subra G, Martinez J. Chemical cross-linkers for protein structure studies by mass spectrometry. Proteomics 2013; 13:438-56. [PMID: 23255214 DOI: 10.1002/pmic.201200305] [Citation(s) in RCA: 62] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2012] [Revised: 10/12/2012] [Accepted: 10/22/2012] [Indexed: 12/24/2022]
Abstract
The cross-linking approach combined with MS for protein structure determination is one of the most striking examples of multidisciplinary success. Indeed, it has become clear that the bottleneck of the method was the detection and the identification of low-abundance cross-linked peptides in complex mixtures. Sample treatment or chromatography separation partially addresses these issues. However, the main problem comes from over-represented unmodified peptides, which do not yield any structural information. A real breakthrough was provided by high mass accuracy measurement, because of the outstanding technical developments in MS. This improvement greatly simplified the identification of cross-linked peptides, reducing the possible combinations matching with an observed m/z value. In addition, the huge amount of data collected has to be processed with dedicated software whose role is to propose distance constraints or ideally a structural model of the protein. In addition to instrumentation and algorithms efficiency, significant efforts have been made to design new cross-linkers matching all the requirements in terms of reactivity and selectivity but also displaying probes or reactive systems facilitating the isolation, the detection of cross-links, or the interpretation of MS data. These chemical features are reviewed and commented on in the light of the more recent strategies.
Collapse
Affiliation(s)
- David Paramelle
- Institute of Materials Research and Engineering, Agency for Science, Technology and Research (A*STAR), 3 Research Link, Singapore
| | | | | | | |
Collapse
|
6
|
Paramelle D, Enjalbal C, Amblard M, Forest E, Heymann M, Cantel S, Geourjon C, Martinez J, Subra G. Solid-Phase Cross-Linking (SPCL): A new tool for protein structure studies. Proteomics 2011; 11:1277-86. [DOI: 10.1002/pmic.201000029] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2010] [Revised: 11/04/2010] [Accepted: 12/20/2010] [Indexed: 11/09/2022]
|
7
|
Paramelle D, Subra G, Vezenkov LL, Maynadier M, André C, Enjalbal C, Calmès M, Garcia M, Martinez J, Amblard M. A Straightforward Approach for Cellular-Uptake Quantification. Angew Chem Int Ed Engl 2010. [DOI: 10.1002/ange.201003347] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
|
8
|
Paramelle D, Subra G, Vezenkov LL, Maynadier M, André C, Enjalbal C, Calmès M, Garcia M, Martinez J, Amblard M. A Straightforward Approach for Cellular-Uptake Quantification. Angew Chem Int Ed Engl 2010; 49:8240-3. [DOI: 10.1002/anie.201003347] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
|
9
|
Paramelle D, Cantel S, Enjalbal C, Amblard M, Forest E, Heymann M, Geourjon C, Martinez J, Subra G. A new generation of cross-linkers for selective detection by MALDI MS. Proteomics 2009; 9:5384-8. [DOI: 10.1002/pmic.200900562] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
|