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Jones AA, Snow CD. Porous protein crystals: synthesis and applications. Chem Commun (Camb) 2024; 60:5790-5803. [PMID: 38756076 DOI: 10.1039/d4cc00183d] [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: 05/18/2024]
Abstract
Large-pore protein crystals (LPCs) are an emerging class of biomaterials. The inherent diversity of proteins translates to a diversity of crystal lattice structures, many of which display large pores and solvent channels. These pores can, in turn, be functionalized via directed evolution and rational redesign based on the known crystal structures. LPCs possess extremely high solvent content, as well as extremely high surface area to volume ratios. Because of these characteristics, LPCs continue to be explored in diverse applications including catalysis, targeted therapeutic delivery, templating of nanostructures, structural biology. This Feature review article will describe several of the existing platforms in detail, with particular focus on LPC synthesis approaches and reported applications.
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Affiliation(s)
- Alec Arthur Jones
- School of Biomedical Engineering, Colorado State University, Fort Collins, CO 80523-1301, USA.
| | - Christopher D Snow
- School of Biomedical Engineering, Colorado State University, Fort Collins, CO 80523-1301, USA.
- Department of Chemical and Biological Engineering, Colorado State University, Fort Collins, CO 80523-1301, USA
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2
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Shih CT, Kuo BH, Tsai CY, Tseng MC, Shie JJ. Dibenzocyclooctendiones (DBCDOs): Arginine-Selective Chemical Labeling Reagents Obtained through Benzilic Acid Rearrangement. Org Lett 2022; 24:4694-4698. [PMID: 35727008 DOI: 10.1021/acs.orglett.2c01970] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
We demonstrate that dibenzocyclooctendiones (DBCDOs) are efficient chemical reagents for the site-specific labeling of arginine-containing biomolecules. Unlike the commonly used probes, DBCDOs undergo an irreversible ring-contracted rearrangement with the guanidinium group on arginine residues under mild reaction conditions. The regioselective dual-labeled arginine residues were obtained in a one-pot reaction with our tested substrates. The efficiency of DBCDOs reactions and their ease of synthesis make DBCDOs an attractive choice for the site-selective bioconjugation of arginine.
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Affiliation(s)
- Cheng-Ting Shih
- Institute of Chemistry, Academia Sinica, Taipei 11529, Taiwan
| | - Bo-Hong Kuo
- Institute of Chemistry, Academia Sinica, Taipei 11529, Taiwan
| | - Chun-Yi Tsai
- Institute of Chemistry, Academia Sinica, Taipei 11529, Taiwan
| | - Mei-Chun Tseng
- Institute of Chemistry, Academia Sinica, Taipei 11529, Taiwan
| | - Jiun-Jie Shie
- Institute of Chemistry, Academia Sinica, Taipei 11529, Taiwan
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3
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Mirror cutting-assisted orthogonal digestion enabling large-scale and accurate protein complex characterization. Se Pu 2022; 40:224-233. [PMID: 35243832 PMCID: PMC9404107 DOI: 10.3724/sp.j.1123.2021.06010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
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4
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Kalathiya U, Padariya M, Faktor J, Coyaud E, Alfaro JA, Fahraeus R, Hupp TR, Goodlett DR. Interfaces with Structure Dynamics of the Workhorses from Cells Revealed through Cross-Linking Mass Spectrometry (CLMS). Biomolecules 2021; 11:382. [PMID: 33806612 PMCID: PMC8001575 DOI: 10.3390/biom11030382] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2021] [Revised: 02/26/2021] [Accepted: 03/01/2021] [Indexed: 12/28/2022] Open
Abstract
The fundamentals of how protein-protein/RNA/DNA interactions influence the structures and functions of the workhorses from the cells have been well documented in the 20th century. A diverse set of methods exist to determine such interactions between different components, particularly, the mass spectrometry (MS) methods, with its advanced instrumentation, has become a significant approach to analyze a diverse range of biomolecules, as well as bring insights to their biomolecular processes. This review highlights the principal role of chemistry in MS-based structural proteomics approaches, with a particular focus on the chemical cross-linking of protein-protein/DNA/RNA complexes. In addition, we discuss different methods to prepare the cross-linked samples for MS analysis and tools to identify cross-linked peptides. Cross-linking mass spectrometry (CLMS) holds promise to identify interaction sites in larger and more complex biological systems. The typical CLMS workflow allows for the measurement of the proximity in three-dimensional space of amino acids, identifying proteins in direct contact with DNA or RNA, and it provides information on the folds of proteins as well as their topology in the complexes. Principal CLMS applications, its notable successes, as well as common pipelines that bridge proteomics, molecular biology, structural systems biology, and interactomics are outlined.
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Affiliation(s)
- Umesh Kalathiya
- International Centre for Cancer Vaccine Science, University of Gdansk, ul. Kładki 24, 80-822 Gdansk, Poland; (M.P.); (J.F.); (J.A.A.); (R.F.); (T.R.H.)
| | - Monikaben Padariya
- International Centre for Cancer Vaccine Science, University of Gdansk, ul. Kładki 24, 80-822 Gdansk, Poland; (M.P.); (J.F.); (J.A.A.); (R.F.); (T.R.H.)
| | - Jakub Faktor
- International Centre for Cancer Vaccine Science, University of Gdansk, ul. Kładki 24, 80-822 Gdansk, Poland; (M.P.); (J.F.); (J.A.A.); (R.F.); (T.R.H.)
| | - Etienne Coyaud
- Protéomique Réponse Inflammatoire Spectrométrie de Mass—PRISM, Inserm U1192, University Lille, CHU Lille, F-59000 Lille, France;
| | - Javier A. Alfaro
- International Centre for Cancer Vaccine Science, University of Gdansk, ul. Kładki 24, 80-822 Gdansk, Poland; (M.P.); (J.F.); (J.A.A.); (R.F.); (T.R.H.)
- Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, Scotland EH4 2XR, UK
| | - Robin Fahraeus
- International Centre for Cancer Vaccine Science, University of Gdansk, ul. Kładki 24, 80-822 Gdansk, Poland; (M.P.); (J.F.); (J.A.A.); (R.F.); (T.R.H.)
| | - Ted R. Hupp
- International Centre for Cancer Vaccine Science, University of Gdansk, ul. Kładki 24, 80-822 Gdansk, Poland; (M.P.); (J.F.); (J.A.A.); (R.F.); (T.R.H.)
- Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, Scotland EH4 2XR, UK
| | - David R. Goodlett
- International Centre for Cancer Vaccine Science, University of Gdansk, ul. Kładki 24, 80-822 Gdansk, Poland; (M.P.); (J.F.); (J.A.A.); (R.F.); (T.R.H.)
- Department of Biochemistry & Microbiology, University of Victoria, Victoria, BC V8Z 7X8, Canada
- Genome BC Proteome Centre, University of Victoria, Victoria, BC V8Z 5N3, Canada
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5
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Abstract
Cross-linking, in general, involves the covalent linkage of two amino acid residues of proteins or protein complexes in close proximity. Mass spectrometry and computational analysis are then applied to identify the formed linkage and deduce structural information such as distance restraints. Quantitative cross-linking coupled with mass spectrometry is well suited to study protein dynamics and conformations of protein complexes. The quantitative cross-linking workflow described here is based on the application of isotope labelled cross-linkers. Proteins or protein complexes present in different structural states are differentially cross-linked using a "light" and a "heavy" cross-linker. The intensity ratios of cross-links (i.e., light/heavy or heavy/light) indicate structural changes or interactions that are maintained in the different states. These structural insights lead to a better understanding of the function of the proteins or protein complexes investigated. The described workflow is applicable to a wide range of research questions including, for instance, protein dynamics or structural changes upon ligand binding.
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Affiliation(s)
- Marie Barth
- Interdisciplinary Research Center HALOmem, Charles Tanford Protein Center, Institute for Biochemistry and Biotechnology, Martin Luther University Halle-Wittenberg, Halle, Germany
| | - Carla Schmidt
- Interdisciplinary Research Center HALOmem, Charles Tanford Protein Center, Institute for Biochemistry and Biotechnology, Martin Luther University Halle-Wittenberg, Halle, Germany.
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6
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Jones AX, Cao Y, Tang YL, Wang JH, Ding YH, Tan H, Chen ZL, Fang RQ, Yin J, Chen RC, Zhu X, She Y, Huang N, Shao F, Ye K, Sun RX, He SM, Lei X, Dong MQ. Improving mass spectrometry analysis of protein structures with arginine-selective chemical cross-linkers. Nat Commun 2019; 10:3911. [PMID: 31477730 PMCID: PMC6718413 DOI: 10.1038/s41467-019-11917-z] [Citation(s) in RCA: 38] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2019] [Accepted: 08/05/2019] [Indexed: 02/07/2023] Open
Abstract
Chemical cross-linking of proteins coupled with mass spectrometry analysis (CXMS) is widely used to study protein-protein interactions (PPI), protein structures, and even protein dynamics. However, structural information provided by CXMS is still limited, partly because most CXMS experiments use lysine-lysine (K-K) cross-linkers. Although superb in selectivity and reactivity, they are ineffective for lysine deficient regions. Herein, we develop aromatic glyoxal cross-linkers (ArGOs) for arginine-arginine (R-R) cross-linking and the lysine-arginine (K-R) cross-linker KArGO. The R-R or K-R cross-links generated by ArGO or KArGO fit well with protein crystal structures and provide information not attainable by K-K cross-links. KArGO, in particular, is highly valuable for CXMS, with robust performance on a variety of samples including a kinase and two multi-protein complexes. In the case of the CNGP complex, KArGO cross-links covered as much of the PPI interface as R-R and K-K cross-links combined and improved the accuracy of Rosetta docking substantially. Cross-linking mass spectrometry can provide insights into protein structures and interactions but its scope depends on the reactivity of the cross-linker. Here, the authors develop Arg-Arg and Lys-Arg cross-linkers, which provide structural information elusive to the widely used Lys-Lys cross-linkers.
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Affiliation(s)
- Alexander X Jones
- Beijing National Laboratory for Molecular Sciences, Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, Department of Chemical Biology, College of Chemistry and Molecular Engineering, Synthetic and Functional Biomolecules Center, and Peking-Tsinghua Center for Life Sciences, Peking University, 100871, Beijing, China
| | - Yong Cao
- School of Life Sciences, Peking University, 100871, Beijing, China.,National Institute of Biological Sciences (NIBS), 102206, Beijing, China
| | - Yu-Liang Tang
- Beijing National Laboratory for Molecular Sciences, Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, Department of Chemical Biology, College of Chemistry and Molecular Engineering, Synthetic and Functional Biomolecules Center, and Peking-Tsinghua Center for Life Sciences, Peking University, 100871, Beijing, China
| | - Jian-Hua Wang
- National Institute of Biological Sciences (NIBS), 102206, Beijing, China
| | - Yue-He Ding
- National Institute of Biological Sciences (NIBS), 102206, Beijing, China
| | - Hui Tan
- Beijing National Laboratory for Molecular Sciences, Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, Department of Chemical Biology, College of Chemistry and Molecular Engineering, Synthetic and Functional Biomolecules Center, and Peking-Tsinghua Center for Life Sciences, Peking University, 100871, Beijing, China
| | - Zhen-Lin Chen
- Key Lab of Intelligent Information Processing, Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, 100049, Beijing, China.,University of Chinese Academy of Sciences, 100049, Beijing, China
| | - Run-Qian Fang
- Key Lab of Intelligent Information Processing, Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, 100049, Beijing, China.,University of Chinese Academy of Sciences, 100049, Beijing, China
| | - Jili Yin
- Key Lab of Intelligent Information Processing, Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, 100049, Beijing, China.,University of Chinese Academy of Sciences, 100049, Beijing, China
| | - Rong-Chang Chen
- University of Chinese Academy of Sciences, 100049, Beijing, China.,Key Laboratory of RNA Biology, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, 100101, Beijing, China
| | - Xing Zhu
- University of Chinese Academy of Sciences, 100049, Beijing, China.,Key Laboratory of RNA Biology, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, 100101, Beijing, China
| | - Yang She
- National Institute of Biological Sciences (NIBS), 102206, Beijing, China
| | - Niu Huang
- National Institute of Biological Sciences (NIBS), 102206, Beijing, China
| | - Feng Shao
- National Institute of Biological Sciences (NIBS), 102206, Beijing, China
| | - Keqiong Ye
- University of Chinese Academy of Sciences, 100049, Beijing, China.,Key Laboratory of RNA Biology, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, 100101, Beijing, China
| | - Rui-Xiang Sun
- National Institute of Biological Sciences (NIBS), 102206, Beijing, China
| | - Si-Min He
- Key Lab of Intelligent Information Processing, Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, 100049, Beijing, China.,University of Chinese Academy of Sciences, 100049, Beijing, China
| | - Xiaoguang Lei
- Beijing National Laboratory for Molecular Sciences, Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, Department of Chemical Biology, College of Chemistry and Molecular Engineering, Synthetic and Functional Biomolecules Center, and Peking-Tsinghua Center for Life Sciences, Peking University, 100871, Beijing, China.
| | - Meng-Qiu Dong
- National Institute of Biological Sciences (NIBS), 102206, Beijing, China. .,Tsinghua Institute of Multidisciplinary Biomedical Research, Tsinghua University, 102206, Beijing, China.
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7
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Chu F, Thornton DT, Nguyen HT. Chemical cross-linking in the structural analysis of protein assemblies. Methods 2018; 144:53-63. [PMID: 29857191 DOI: 10.1016/j.ymeth.2018.05.023] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2018] [Revised: 05/22/2018] [Accepted: 05/25/2018] [Indexed: 12/31/2022] Open
Abstract
For decades, chemical cross-linking of proteins has been an established method to study protein interaction partners. The chemical cross-linking approach has recently been revived by mass spectrometric analysis of the cross-linking reaction products. Chemical cross-linking and mass spectrometric analysis (CXMS) enables the identification of residues that are close in three-dimensional (3D) space but not necessarily close in primary sequence. Therefore, this approach provides medium resolution information to guide de novo structure prediction, protein interface mapping and protein complex model building. The robustness and compatibility of the CXMS approach with multiple biochemical methods have made it especially appealing for challenging systems with multiple biochemical compositions and conformation states. This review provides an overview of the CXMS approach, describing general procedures in sample processing, data acquisition and analysis. Selection of proper chemical cross-linking reagents, strategies for cross-linked peptide identification, and successful application of CXMS in structural characterization of proteins and protein complexes are discussed.
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Affiliation(s)
- Feixia Chu
- Department of Molecular, Cellular & Biomedical Sciences, University of New Hampshire, Durham, NH 03824, United States; Hubbard Center for Genome Studies, University of New Hampshire, Durham, NH 03824, United States.
| | - Daniel T Thornton
- Department of Molecular, Cellular & Biomedical Sciences, University of New Hampshire, Durham, NH 03824, United States
| | - Hieu T Nguyen
- Department of Molecular, Cellular & Biomedical Sciences, University of New Hampshire, Durham, NH 03824, United States
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8
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Bifunctional cross-linking approaches for mass spectrometry-based investigation of nucleic acids and protein-nucleic acid assemblies. Methods 2018; 144:64-78. [PMID: 29753003 DOI: 10.1016/j.ymeth.2018.05.001] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2018] [Revised: 04/30/2018] [Accepted: 05/04/2018] [Indexed: 12/13/2022] Open
Abstract
With the goal of expanding the very limited toolkit of cross-linking agents available for nucleic acids and their protein complexes, we evaluated the merits of a wide range of bifunctional agents that may be capable of reacting with the functional groups characteristic of these types of biopolymers. The survey specifically focused on the ability of test reagents to produce desirable inter-molecular conjugates, which could reveal the identity of interacting components and the position of mutual contacts, while also considering a series of practical criteria for their utilization as viable nucleic acid probes. The survey employed models consisting of DNA, RNA, and corresponding protein complexes to mimic as close as possible typical applications. Denaturing polyacrylamide gel electrophoresis (PAGE) and mass spectrometric (MS) analyses were implemented in concert to monitor the formation of the desired conjugates. In particular, the former was used as a rapid and inexpensive tool for the efficient evaluation of cross-linker activity under a broad range of experimental conditions. The latter was applied after preliminary rounds of reaction optimization to enable full-fledged product characterization and, more significantly, differentiation between mono-functional and intra- versus inter-molecular conjugates. This information provided the feedback necessary to further optimize reaction conditions and explain possible outcomes. Among the reagents tested in the study, platinum complexes and nitrogen mustards manifested the most favorable characteristics for practical cross-linking applications, whereas other compounds provided inferior yields, or produced rather unstable conjugates that did not survive the selected analytical conditions. The observed outcomes will help guide the selection of the most appropriate cross-linking reagent for a specific task, whereas the experimental conditions described here will provide an excellent starting point for approaching these types of applications. As a whole, the results of the survey clearly emphasize that finding a universal reagent, which may afford excellent performance with all types of nucleic acid substrates, will require extending the exploration beyond the traditional chemistries employed to modify the constitutive functional groups of these vital biopolymers.
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9
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Argo AS, Shi C, Liu F, Goshe MB. Performing protein crosslinking using gas-phase cleavable chemical crosslinkers and liquid chromatography-tandem mass spectrometry. Methods 2015; 89:64-73. [DOI: 10.1016/j.ymeth.2015.06.011] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2015] [Revised: 05/12/2015] [Accepted: 06/09/2015] [Indexed: 12/13/2022] Open
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10
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Holding AN. XL-MS: Protein cross-linking coupled with mass spectrometry. Methods 2015; 89:54-63. [PMID: 26079926 DOI: 10.1016/j.ymeth.2015.06.010] [Citation(s) in RCA: 72] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2015] [Revised: 06/02/2015] [Accepted: 06/08/2015] [Indexed: 11/29/2022] Open
Abstract
With the continuing trend to study larger and more complex systems, the application of protein cross-linking coupled with mass spectrometry (XL-MS) provides a varied toolkit perfectly suited to achieve these goals. By freezing the transient interactions through the formation of covalent bonds, XL-MS provides a vital insight into both the structure and organization of proteins in a wide variety of conditions. This review covers some of the established methods that underpin the field alongside the more recent developments that hold promise to further realize its potential in new directions.
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Affiliation(s)
- Andrew N Holding
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge CB2 0RE, UK.
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11
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Scalabrin M, Siu Y, Asare-Okai PN, Fabris D. Structure-specific ribonucleases for MS-based elucidation of higher-order RNA structure. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2014; 25:1136-1145. [PMID: 24845355 PMCID: PMC6911265 DOI: 10.1007/s13361-014-0911-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/17/2014] [Revised: 04/08/2014] [Accepted: 04/08/2014] [Indexed: 06/03/2023]
Abstract
Supported by high-throughput sequencing technologies, structure-specific nucleases are experiencing a renaissance as biochemical probes for genome-wide mapping of nucleic acid structure. This report explores the benefits and pitfalls of the application of Mung bean (Mb) and V1 nuclease, which attack specifically single- and double-stranded regions of nucleic acids, as possible structural probes to be employed in combination with MS detection. Both enzymes were found capable of operating in ammonium-based solutions that are preferred for high-resolution analysis by direct infusion electrospray ionization (ESI). Sequence analysis by tandem mass spectrometry (MS/MS) was performed to confirm mapping assignments and to resolve possible ambiguities arising from the concomitant formation of isobaric products with identical base composition and different sequences. The observed products grouped together into ladder-type series that facilitated their assignment to unique regions of the substrate, but revealed also a certain level of uncertainty in identifying the boundaries between paired and unpaired regions. Various experimental factors that are known to stabilize nucleic acid structure, such as higher ionic strength, presence of Mg(II), etc., increased the accuracy of cleavage information, but did not completely eliminate deviations from expected results. These observations suggest extreme caution in interpreting the results afforded by these types of reagents. Regardless of the analytical platform of choice, the results highlighted the need to repeat probing experiments under the most diverse possible conditions to recognize potential artifacts and to increase the level of confidence in the observed structural information.
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Affiliation(s)
- Matteo Scalabrin
- The RNA Institute, University at Albany-SUNY, Albany, NY, 12222, USA
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12
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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.
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Affiliation(s)
- David Paramelle
- Institute of Materials Research and Engineering, Agency for Science, Technology and Research (A*STAR), 3 Research Link, Singapore
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13
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Clifford-Nunn B, Showalter HDH, Andrews PC. Quaternary diamines as mass spectrometry cleavable crosslinkers for protein interactions. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2012; 23:201-12. [PMID: 22131227 PMCID: PMC3573217 DOI: 10.1007/s13361-011-0288-4] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/29/2011] [Revised: 10/20/2011] [Accepted: 10/22/2011] [Indexed: 05/11/2023]
Abstract
Mapping protein interactions and their dynamics is crucial to defining physiologic states, building effective models for understanding cell function, and to allow more effective targeting of new drugs. Crosslinking studies can estimate the proximity of proteins, determine sites of protein-protein interactions, and have the potential to provide a snapshot of dynamic interactions by covalently locking them in place for analysis. Several major challenges are associated with the use of crosslinkers in mass spectrometry, particularly in complex mixtures. We describe the synthesis and characterization of a MS-cleavable crosslinker containing cyclic amines, which address some of these challenges. The DC4 crosslinker contains two intrinsic positive charges, which allow crosslinked peptides to fragment into their component peptides by collision-induced dissociation (CID) or in-source decay. Initial fragmentation events result in cleavage on either side of the positive charges so crosslinked peptides are identified as pairs of ions separated by defined masses. The structures of the component peptides can then be robustly determined by MS(3) because their fragmentation products rearrange to generate a mobile proton. The DC4 crosslinking reagent is stable to storage, highly reactive, highly soluble (1 M solutions), quite labile to CID, and MS(3) results in productive backbone fragmentation.
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Affiliation(s)
- Billy Clifford-Nunn
- Department of Chemistry, University of Michigan, 930 North University Avenue, Ann Arbor, MI, USA
| | - H. D. Hollis Showalter
- Department of Medicinal Chemistry, College of Pharmacy, University of Michigan Vahlteich Medicinal Chemistry Core, Ann Arbor, MI, USA
| | - Philip C. Andrews
- Department of Chemistry, University of Michigan, 930 North University Avenue, Ann Arbor, MI, USA
- Department of Biological Chemistry, University of Michigan Medical School, Room 1198, 300 North Ingalls Building, 300 North Ingalls St., Ann Arbor, MI 48109, USA
- Center for Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, MI, USA
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14
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Zhou H, Ning Z, E. Starr A, Abu-Farha M, Figeys D. Advancements in Top-Down Proteomics. Anal Chem 2011; 84:720-34. [DOI: 10.1021/ac202882y] [Citation(s) in RCA: 72] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Affiliation(s)
- Hu Zhou
- Ottawa Institute of Systems Biology, Department of Biochemistry, Microbiology and Immunology, University of Ottawa, Ottawa, Ontario, K1H8M5
- Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China 201203
| | - Zhibing Ning
- Ottawa Institute of Systems Biology, Department of Biochemistry, Microbiology and Immunology, University of Ottawa, Ottawa, Ontario, K1H8M5
| | - Amanda E. Starr
- Ottawa Institute of Systems Biology, Department of Biochemistry, Microbiology and Immunology, University of Ottawa, Ottawa, Ontario, K1H8M5
| | - Mohamed Abu-Farha
- Biochemistry and Molecular Biology Unit, Dasman Diabetes Institute, Dasman 15462, Kuwait
| | - Daniel Figeys
- Ottawa Institute of Systems Biology, Department of Biochemistry, Microbiology and Immunology, University of Ottawa, Ottawa, Ontario, K1H8M5
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15
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Preparation and Solution Characteristics of a Novel Hydrophobically Associating Terpolymer for Enhanced Oil Recovery. J SOLUTION CHEM 2011. [DOI: 10.1007/s10953-011-9663-9] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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16
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Petrotchenko EV, Borchers CH. Crosslinking combined with mass spectrometry for structural proteomics. MASS SPECTROMETRY REVIEWS 2010; 29:862-76. [PMID: 20730915 DOI: 10.1002/mas.20293] [Citation(s) in RCA: 120] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/10/2023]
Abstract
The method of crosslinking combined with mass spectrometry is being gradually accepted as a technology enabling detailed structural information on proteins and protein complexes. Intrinsic challenges of the method, which have prevented its widespread use, are being progressively addressed by improvements in mass spectrometry instrumentation capabilities, by the development of new crosslinking reagents, and by the development of specialized software tools for processing of mass spectrometric crosslinking data. This review focuses on recent literature concerning the development of specialized crosslinking reagents and approaches for mass spectrometry-based applications. Critical features of crosslinking reagents for optimum mass spectrometric performance, such as isotopic coding, cleavability, affinity groups, structure of the linkers, and reactive groups, are assessed. Requirements for the design of crosslinking reagents to make them well suited for mass spectrometric detection and analysis are summarized.
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Affiliation(s)
- Evgeniy V Petrotchenko
- University of Victoria Proteomics Centre, 3101-4464 Markham Street, Victoria, British Columbia, Canada V8Z7X8
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Rappsilber J. The beginning of a beautiful friendship: cross-linking/mass spectrometry and modelling of proteins and multi-protein complexes. J Struct Biol 2010; 173:530-40. [PMID: 21029779 PMCID: PMC3043253 DOI: 10.1016/j.jsb.2010.10.014] [Citation(s) in RCA: 319] [Impact Index Per Article: 22.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2010] [Revised: 10/21/2010] [Accepted: 10/21/2010] [Indexed: 11/17/2022]
Abstract
After more than a decade of method development, cross-linking in combination with mass spectrometry and bioinformatics is finally coming of age. This technology now provides improved opportunities for modelling by mapping structural details of functional complexes in solution. The structure of proteins or protein complexes is ascertained by identifying amino acid pairs that are positioned in close proximity to each other. The validity of this technique has recently been benchmarked for large multi-protein complexes, by comparing cross-link data with that from a crystal structure of RNA polymerase II. Here, the specific nature of this cross-linking data will be discussed to assess the technical challenges and opportunities for model building. We believe that once remaining technological challenges of cross-linking/mass spectrometry have been addressed and cross-linking/mass spectrometry data has been incorporated into modelling algorithms it will quickly become an indispensable companion of protein and protein complex modelling and a corner-stone of integrated structural biology.
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Affiliation(s)
- Juri Rappsilber
- Wellcome Trust Centre for Cell Biology, University of Edinburgh, Michael Swann Building, King's Buildings, Mayfield Road, Edinburgh, EH9 3JR Scotland, UK.
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Leitner A, Walzthoeni T, Kahraman A, Herzog F, Rinner O, Beck M, Aebersold R. Probing native protein structures by chemical cross-linking, mass spectrometry, and bioinformatics. Mol Cell Proteomics 2010; 9:1634-49. [PMID: 20360032 PMCID: PMC2938055 DOI: 10.1074/mcp.r000001-mcp201] [Citation(s) in RCA: 368] [Impact Index Per Article: 26.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2010] [Revised: 03/30/2010] [Indexed: 12/16/2022] Open
Abstract
Chemical cross-linking of reactive groups in native proteins and protein complexes in combination with the identification of cross-linked sites by mass spectrometry has been in use for more than a decade. Recent advances in instrumentation, cross-linking protocols, and analysis software have led to a renewed interest in this technique, which promises to provide important information about native protein structure and the topology of protein complexes. In this article, we discuss the critical steps of chemical cross-linking and its implications for (structural) biology: reagent design and cross-linking protocols, separation and mass spectrometric analysis of cross-linked samples, dedicated software for data analysis, and the use of cross-linking data for computational modeling. Finally, the impact of protein cross-linking on various biological disciplines is highlighted.
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Affiliation(s)
- Alexander Leitner
- From the Institute of Molecular Systems Biology, Eidgenössiche Technische Hochschule (ETH) Zurich, Wolfgang-Pauli-Strasse 16, 8093 Zurich, Switzerland
- Department of Analytical Chemistry and Food Chemistry, University of Vienna, Waehringer Strasse 38, 1090 Vienna, Austria
| | - Thomas Walzthoeni
- From the Institute of Molecular Systems Biology, Eidgenössiche Technische Hochschule (ETH) Zurich, Wolfgang-Pauli-Strasse 16, 8093 Zurich, Switzerland
- Ph.D. Program in Molecular Life Sciences, University of Zurich/ETH Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland
| | - Abdullah Kahraman
- From the Institute of Molecular Systems Biology, Eidgenössiche Technische Hochschule (ETH) Zurich, Wolfgang-Pauli-Strasse 16, 8093 Zurich, Switzerland
| | - Franz Herzog
- From the Institute of Molecular Systems Biology, Eidgenössiche Technische Hochschule (ETH) Zurich, Wolfgang-Pauli-Strasse 16, 8093 Zurich, Switzerland
| | - Oliver Rinner
- From the Institute of Molecular Systems Biology, Eidgenössiche Technische Hochschule (ETH) Zurich, Wolfgang-Pauli-Strasse 16, 8093 Zurich, Switzerland
- Biognosys AG, Wolfgang-Pauli-Strasse 16, 8093 Zurich, Switzerland
| | - Martin Beck
- From the Institute of Molecular Systems Biology, Eidgenössiche Technische Hochschule (ETH) Zurich, Wolfgang-Pauli-Strasse 16, 8093 Zurich, Switzerland
| | - Ruedi Aebersold
- From the Institute of Molecular Systems Biology, Eidgenössiche Technische Hochschule (ETH) Zurich, Wolfgang-Pauli-Strasse 16, 8093 Zurich, Switzerland
- Faculty of Science, University of Zurich, Zurich, Switzerland, and
- Competence Center for Systems Physiology and Metabolic Diseases, Zurich, Switzerland
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Fabris D, Yu ET. Elucidating the higher-order structure of biopolymers by structural probing and mass spectrometry: MS3D. JOURNAL OF MASS SPECTROMETRY : JMS 2010; 45:841-60. [PMID: 20648672 PMCID: PMC3432860 DOI: 10.1002/jms.1762] [Citation(s) in RCA: 27] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/20/2023]
Abstract
Chemical probing represents a very versatile alternative for studying the structure and dynamics of substrates that are intractable by established high-resolution techniques. The implementation of MS-based strategies for the characterization of probing products has not only extended the range of applicability to virtually all types of biopolymers but has also paved the way for the introduction of new reagents that would not have been viable with traditional analytical platforms. As the availability of probing data is steadily increasing on the wings of the development of dedicated interpretation aids, powerful computational approaches have been explored to enable the effective utilization of such information to generate valid molecular models. This combination of factors has contributed to making the possibility of obtaining actual 3D structures by MS-based technologies (MS3D) a reality. Although approaches for achieving structure determination of unknown targets or assessing the dynamics of known structures may share similar reagents and development trajectories, they clearly involve distinctive experimental strategies, analytical concerns and interpretation paradigms. This Perspective offers a commentary on methods aimed at obtaining distance constraints for the modeling of full-fledged structures while highlighting common elements, salient distinctions and complementary capabilities exhibited by methods used in dynamics studies. We discuss critical factors to be addressed for completing effective structural determinations and expose possible pitfalls of chemical methods. We survey programs developed for facilitating the interpretation of experimental data and discuss possible computational strategies for translating sparse spatial constraints into all-atom models. Examples are provided to illustrate how the concerted application of very diverse probing techniques can lead to the solution of actual biological systems.
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Affiliation(s)
- Daniele Fabris
- Department of Chemistry and Biochemistry, University of Maryland Baltimore County, Baltimore, MD, USA.
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Ori A, Free P, Courty J, Wilkinson MC, Fernig DG. Identification of heparin-binding sites in proteins by selective labeling. Mol Cell Proteomics 2009; 8:2256-65. [PMID: 19567366 DOI: 10.1074/mcp.m900031-mcp200] [Citation(s) in RCA: 62] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
Heparan sulfate proteoglycans are key regulators of complex molecular networks due to the interaction of their sugar chains with a large number of partner proteins, which in humans number more than 200 (Ori, A., Wilkinson, M. C., and Fernig, D. G. (2008) The heparanome and regulation of cell function: structures, functions and challenges. Front. Biosci. 13, 4309-4338). We developed a method to selectively label residues involved in heparin binding that matches the requirements for medium/high throughput applications called the "Protect and Label" strategy. This is based on the protection against chemical modification given by heparin/heparan sulfate to the residues located in the heparin-binding site. Thus, analysis of fibroblast growth factor-2 bound to heparin and incubated with N-hydroxysuccinimide acetate showed that lysines involved in the sugar binding are protected against chemical modification. Moreover following release from heparin, the protected lysine side chains may be specifically labeled with N-hydroxysuccinimide biotin. After protein digestion, the biotinylated peptides were readily isolated and identified by MALDI-Q-TOF mass spectrometry. The analysis of labeled peptides obtained from three well characterized heparin-binding proteins with very different heparin-binding sites, fibroblast growth factor-2, platelet factor-4, and pleiotrophin demonstrates the success of this new approach, which thus provides a rapid and reliable procedure to identify heparin-binding sites.
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Affiliation(s)
- Alessandro Ori
- School of Biological Sciences and Centre for Glycobiology, University of Liverpool, Liverpool, United Kingdom
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Yu ET, Hawkins A, Kuntz ID, Rahn LA, Rothfuss A, Sale K, Young MM, Yang CL, Pancerella CM, Fabris D. The collaboratory for MS3D: a new cyberinfrastructure for the structural elucidation of biological macromolecules and their assemblies using mass spectrometry-based approaches. J Proteome Res 2008; 7:4848-57. [PMID: 18817429 DOI: 10.1021/pr800443f] [Citation(s) in RCA: 27] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Modern biomedical research is evolving with the rapid growth of diverse data types, biophysical characterization methods, computational tools and extensive collaboration among researchers spanning various communities and having complementary backgrounds and expertise. Collaborating researchers are increasingly dependent on shared data and tools made available by other investigators with common interests, thus forming communities that transcend the traditional boundaries of the single research laboratory or institution. Barriers, however, remain to the formation of these virtual communities, usually due to the steep learning curve associated with becoming familiar with new tools, or with the difficulties associated with transferring data between tools. Recognizing the need for shared reference data and analysis tools, we are developing an integrated knowledge environment that supports productive interactions among researchers. Here we report on our current collaborative environment, which focuses on bringing together structural biologists working in the area of mass spectrometric based methods for the analysis of tertiary and quaternary macromolecular structures (MS3D) called the Collaboratory for MS3D (C-MS3D). C-MS3D is a Web-portal designed to provide collaborators with a shared work environment that integrates data storage and management with data analysis tools. Files are stored and archived along with pertinent meta data in such a way as to allow file handling to be tracked (data provenance) and data files to be searched using keywords and modification dates. While at this time the portal is designed around a specific application, the shared work environment is a general approach to building collaborative work groups. The goal of this is to not only provide a common data sharing and archiving system, but also to assist in the building of new collaborations and to spur the development of new tools and technologies.
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Affiliation(s)
- Eizadora T Yu
- Biosystems Research, Advanced Software R&D, and Exploratory Computer and Software Engineering Departments, Sandia National Laboratories, P.O. Box 969, Livermore, California 94551-0969, USA
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