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Degliesposti G. Probing Protein Complexes Composition, Stoichiometry, and Interactions by Peptide-Based Mass Spectrometry. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2024; 3234:41-57. [PMID: 38507199 DOI: 10.1007/978-3-031-52193-5_4] [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: 03/22/2024]
Abstract
The characterization of a protein complex by mass spectrometry can be conducted at different levels. Initial steps regard the qualitative composition of the complex and subunit identification. After that, quantitative information such as stoichiometric ratios and copy numbers for each subunit in a complex or super-complex is acquired. Peptide-based LC-MS/MS offers a wide number of methods and protocols for the characterization of protein complexes. This chapter concentrates on the applications of peptide-based LC-MS/MS for the qualitative, quantitative, and structural characterization of protein complexes focusing on subunit identification, determination of stoichiometric ratio and number of subunits per complex as well as on cross-linking mass spectrometry and hydrogen/deuterium exchange as methods for the structural investigation of the biological assemblies.
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2
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Higashi S, Imamura Y, Kikuma T, Matoba T, Orita S, Yamaguchi Y, Ito Y, Takeda Y. Analysis of Selenoprotein F Binding to UDP-Glucose:Glycoprotein Glucosyltransferase (UGGT) by a Photoreactive Crosslinker. Chembiochem 2023; 24:e202200444. [PMID: 36219527 DOI: 10.1002/cbic.202200444] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Revised: 10/03/2022] [Indexed: 11/06/2022]
Abstract
In the endoplasmic reticulum glycoprotein quality control system, UDP-glucose : glycoprotein glucosyltransferase (UGGT) functions as a folding sensor. Although it is known to form a heterodimer with selenoprotein F (SelenoF), the details of the complex formation remain obscure. A pulldown assay using co-transfected SelenoF and truncated mutants of human UGGT1 (HUGT1) revealed that SelenoF binds to the TRXL2 domain of HUGT1. Additionally, a newly developed photoaffinity crosslinker was selectively introduced into cysteine residues of recombinant SelenoF to determine the spatial orientation of SelenoF to HUGT1. The crosslinking experiments showed that SelenoF formed a covalent bond with amino acids in the TRXL3 region and the interdomain between βS2 and GT24 of HUGT1 via the synthetic crosslinker. SelenoF might play a role in assessing and refining the disulfide bonds of misfolded glycoproteins in the hydrophobic cavity of HUGT1 as it binds to the highly flexible region of HUGT1 to reach its long hydrophobic cavity. Clarification of the SelenoF-binding domain of UGGT and its relative position will help predict and reveal the function of SelenoF from a structural perspective.
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Affiliation(s)
- Sayaka Higashi
- Department of Biotechnology, College of Life Sciences, Ritsumeikan University, Kusatsu, 525-8577, Japan
| | - Yuki Imamura
- Department of Biotechnology, College of Life Sciences, Ritsumeikan University, Kusatsu, 525-8577, Japan
| | - Takashi Kikuma
- Department of Biotechnology, College of Life Sciences, Ritsumeikan University, Kusatsu, 525-8577, Japan
| | - Takahiro Matoba
- Department of Biotechnology, College of Life Sciences, Ritsumeikan University, Kusatsu, 525-8577, Japan
| | - Saya Orita
- Department of Biotechnology, College of Life Sciences, Ritsumeikan University, Kusatsu, 525-8577, Japan
| | - Yoshiki Yamaguchi
- Faculty of Pharmaceutical Sciences, Tohoku Medical and Pharmaceutical University, Sendai, 981-8558, Japan
| | - Yukishige Ito
- Graduate School of Science, Osaka University, Toyonaka, 560-0043, Japan.,RIKEN Cluster for Pioneering Research, Wako, 351-0198, Japan
| | - Yoichi Takeda
- Department of Biotechnology, College of Life Sciences, Ritsumeikan University, Kusatsu, 525-8577, Japan
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3
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Qiu Y, Chien CC, Maroulis B, Bei J, Gaitas A, Gong B. Extending applications of AFM to fluidic AFM in single living cell studies. J Cell Physiol 2022; 237:3222-3238. [PMID: 35696489 PMCID: PMC9378449 DOI: 10.1002/jcp.30809] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Accepted: 05/25/2022] [Indexed: 12/30/2022]
Abstract
In this article, a review of a series of applications of atomic force microscopy (AFM) and fluidic Atomic Force Microscopy (fluidic AFM, hereafter fluidFM) in single-cell studies is presented. AFM applications involving single-cell and extracellular vesicle (EV) studies, colloidal force spectroscopy, and single-cell adhesion measurements are discussed. FluidFM is an offshoot of AFM that combines a microfluidic cantilever with AFM and has enabled the research community to conduct biological, pathological, and pharmacological studies on cells at the single-cell level in a liquid environment. In this review, capacities of fluidFM are discussed to illustrate (1) the speed with which sequential measurements of adhesion using coated colloid beads can be done, (2) the ability to assess lateral binding forces of endothelial or epithelial cells in a confluent cell monolayer in an appropriate physiological environment, and (3) the ease of measurement of vertical binding forces of intercellular adhesion between heterogeneous cells. Furthermore, key applications of fluidFM are reviewed regarding to EV absorption, manipulation of a single living cell by intracellular injection, sampling of cellular fluid from a single living cell, patch clamping, and mass measurements of a single living cell.
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Affiliation(s)
- Yuan Qiu
- Department of Pathology, University of Texas Medical Branch, Galveston, Texas, USA
| | - Chen-Chi Chien
- The Estelle and Daniel Maggin Department of Neurology, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
| | - Basile Maroulis
- The Estelle and Daniel Maggin Department of Neurology, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
| | - Jiani Bei
- Department of Pathology, University of Texas Medical Branch, Galveston, Texas, USA
| | - Angelo Gaitas
- The Estelle and Daniel Maggin Department of Neurology, Icahn School of Medicine at Mount Sinai, New York City, New York, USA.,BioMedical Engineering & Imaging Institute, Leon and Norma Hess Center for Science and Medicine, New York City, New York, USA
| | - Bin Gong
- Department of Pathology, University of Texas Medical Branch, Galveston, Texas, USA.,Sealy Center for Vector Borne and Zoonotic Diseases, University of Texas Medical Branch, Galveston, Texas, USA.,Center for Biodefense and Emerging Infectious Diseases, University of Texas Medical Branch, Galveston, Texas, USA.,Institute for Human Infectious and Immunity, University of Texas Medical Branch, Galveston, Texas, USA
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4
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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: 90] [Impact Index Per Article: 30.0] [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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5
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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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6
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Felker D, Zhang H, Bo Z, Lau M, Morishima Y, Schnell S, Osawa Y. Mapping protein-protein interactions in homodimeric CYP102A1 by crosslinking and mass spectrometry. Biophys Chem 2021; 274:106590. [PMID: 33894563 DOI: 10.1016/j.bpc.2021.106590] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Revised: 04/05/2021] [Accepted: 04/06/2021] [Indexed: 11/28/2022]
Abstract
Covalent crosslinking and mass spectrometry techniques hold great potential in the study of multiprotein complexes, but a major challenge is the inability to differentiate intra- and inter- protein crosslinks in homomeric complexes. In the current study we use CYP102A1, a well-characterized homodimeric P450, to examine a subtractive method that utilizes limited crosslinking with disuccinimidyl dibutyric urea (DSBU) and isolation of the monomer, in addition to the crosslinked dimer, to identify inter-monomer crosslinks. The utility of this approach was examined with the use of MS-cleavable crosslinker DSBU and recently published cryo-EM based structures of the CYP102A1 homodimer. Of the 31 unique crosslinks found, 26 could be fit to the reported structures whereas 5 exceeded the spatial constraints. Not only did these crosslinks validate the cryo-EM structure, they point to new conformations of CYP102A1 that bring the flavins in closer proximity to the heme.
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Affiliation(s)
- Dana Felker
- Department of Pharmacology, University of Michigan Medical School, 1301 MSRB III, 1150 W. Medical Center Dr., Ann Arbor, MI 48109-5632, USA.
| | - Haoming Zhang
- Department of Pharmacology, University of Michigan Medical School, 1301 MSRB III, 1150 W. Medical Center Dr., Ann Arbor, MI 48109-5632, USA.
| | - Zhiyuan Bo
- Department of Pharmacology, University of Michigan Medical School, 1301 MSRB III, 1150 W. Medical Center Dr., Ann Arbor, MI 48109-5632, USA.
| | - Miranda Lau
- Department of Pharmacology, University of Michigan Medical School, 1301 MSRB III, 1150 W. Medical Center Dr., Ann Arbor, MI 48109-5632, USA.
| | - Yoshihiro Morishima
- Department of Pharmacology, University of Michigan Medical School, 1301 MSRB III, 1150 W. Medical Center Dr., Ann Arbor, MI 48109-5632, USA.
| | - Santiago Schnell
- Department of Molecular & Integrative Physiology, 7744 MS II, 1137 E. Catherine St., Ann Arbor, MI 48109-5622, USA.
| | - Yoichi Osawa
- Department of Pharmacology, University of Michigan Medical School, 1301 MSRB III, 1150 W. Medical Center Dr., Ann Arbor, MI 48109-5632, USA.
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7
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Beard HA, Korovesis D, Chen S, Verhelst SHL. Cleavable linkers and their application in MS-based target identification. Mol Omics 2021; 17:197-209. [PMID: 33507200 DOI: 10.1039/d0mo00181c] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Covalent chemical probes are important tools in chemical biology. They range from post-translational modification (PTM)-derived metabolic probes, to activity-based probes and photoaffinity labels. Identification of the probe targets is often performed by tandem mass spectrometry-based proteomics methods. In the past fifteen years, cleavable linker technologies have been implemented in these workflows in order to identify probe targets with lower background and higher confidence. In addition, the linkers have enabled identification of modification sites. Overall, this has led to an increased knowledge of PTMs, enzyme function and drug action. This review gives an overview of the different types of cleavable linkers, and their benefits and limitations. Their applicability in target identification is also illustrated by several specific examples.
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Affiliation(s)
- Hester A Beard
- KU Leuven, Department of Cellular and Molecular Medicine, Laboratory of Chemical Biology, Herestr. 49 box 802, 3000 Leuven, Belgium.
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8
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Seaberg J, Flynn N, Cai A, Ramsey JD. Effect of redox‐responsive DTSSP crosslinking on poly(
l
‐lysine)‐grafted‐poly(ethylene glycol) nanoparticles for delivery of proteins. Biotechnol Bioeng 2020; 117:2504-2515. [DOI: 10.1002/bit.27369] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2020] [Revised: 04/20/2020] [Accepted: 05/01/2020] [Indexed: 01/08/2023]
Affiliation(s)
- Joshua Seaberg
- School of Chemical Engineering Oklahoma State University Stillwater Oklahoma
| | - Nicholas Flynn
- School of Chemical Engineering Oklahoma State University Stillwater Oklahoma
| | - Amanda Cai
- School of Chemical Engineering Oklahoma State University Stillwater Oklahoma
| | - Joshua D. Ramsey
- School of Chemical Engineering Oklahoma State University Stillwater Oklahoma
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9
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Cross-linking/mass spectrometry to get a closer view on protein interaction networks. Curr Opin Biotechnol 2020; 63:48-53. [DOI: 10.1016/j.copbio.2019.12.009] [Citation(s) in RCA: 51] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2019] [Revised: 12/02/2019] [Accepted: 12/09/2019] [Indexed: 12/21/2022]
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10
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Steigenberger B, Albanese P, Heck AJR, Scheltema RA. To Cleave or Not To Cleave in XL-MS? JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2020; 31:196-206. [PMID: 32031400 DOI: 10.1021/jasms.9b00085] [Citation(s) in RCA: 47] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Cross-linking mass spectrometry (XL-MS) is an efficient technique for uncovering structural features and interactions of the in-solution state of the proteins under investigation. Distance constraints obtained by this technique are highly complementary to classical structural biology approaches like X-ray crystallography and cryo-EM and have successfully been leveraged to shed light on protein structures of increasing size and complexity. To accomplish this, small reagents are used that typically incorporate two amine reactive moieties connected by a spacer arm and that can be applied in solution to protein structures of any size. Over the years, many reagents initially developed for different applications were adopted, and others were specifically developed for XL-MS. This has resulted in a vast array of options, making it difficult to make the right choice for specific experiments. Here, we delve into the previous decade of published XL-MS literature to uncover which workflows have been predominantly applied. We focus on application papers as these represent proof that biologically valid results can be extracted. This ignores some more recent approaches that did not have sufficient time to become more widely applied, for which we supply a separate discussion. From our selection, we extract information on the types of samples, cross-linking reagent, prefractionation, instruments, and data analysis, to highlight widely used workflows. All of the results are summarized in an easy-to-use flow chart defined by selection points resulting from our analysis. Although potentially biased by our own experiences, we expect this overview to be useful for novices stepping into this rapidly expanding field.
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Affiliation(s)
- B Steigenberger
- Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences , Utrecht University , Padualaan 8 , 3584 CH Utrecht , The Netherlands
- Netherlands Proteomics Centre , Padualaan 8 , 3584 CH Utrecht , The Netherlands
| | - P Albanese
- Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences , Utrecht University , Padualaan 8 , 3584 CH Utrecht , The Netherlands
- Netherlands Proteomics Centre , Padualaan 8 , 3584 CH Utrecht , The Netherlands
| | - A J R Heck
- Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences , Utrecht University , Padualaan 8 , 3584 CH Utrecht , The Netherlands
- Netherlands Proteomics Centre , Padualaan 8 , 3584 CH Utrecht , The Netherlands
| | - R A Scheltema
- Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences , Utrecht University , Padualaan 8 , 3584 CH Utrecht , The Netherlands
- Netherlands Proteomics Centre , Padualaan 8 , 3584 CH Utrecht , The Netherlands
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11
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Gaber A, Gunčar G, Pavšič M. Proper evaluation of chemical cross-linking-based spatial restraints improves the precision of modeling homo-oligomeric protein complexes. BMC Bioinformatics 2019; 20:464. [PMID: 31500562 PMCID: PMC6734309 DOI: 10.1186/s12859-019-3032-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2019] [Accepted: 08/16/2019] [Indexed: 11/22/2022] Open
Abstract
Background The function of oligomeric proteins is inherently linked to their quaternary structure. In the absence of high-resolution data, low-resolution information in the form of spatial restraints can significantly contribute to the precision and accuracy of structural models obtained using computational approaches. To obtain such restraints, chemical cross-linking coupled with mass spectrometry (XL-MS) is commonly used. However, the use of XL-MS in the modeling of protein complexes comprised of identical subunits (homo-oligomers) is often hindered by the inherent ambiguity of intra- and inter-subunit connection assignment. Results We present a comprehensive evaluation of (1) different methods for inter-residue distance calculations, and (2) different approaches for the scoring of spatial restraints. Our results show that using Solvent Accessible Surface distances (SASDs) instead of Euclidean distances (EUCs) greatly reduces the assignation ambiguity and delivers better modeling precision. Furthermore, ambiguous connections should be considered as inter-subunit only when the intra-subunit alternative exceeds the distance threshold. Modeling performance can also be improved if symmetry, characteristic for most homo-oligomers, is explicitly defined in the scoring function. Conclusions Our findings provide guidelines for proper evaluation of chemical cross-linking-based spatial restraints in modeling homo-oligomeric protein complexes, which could facilitate structural characterization of this important group of proteins. Electronic supplementary material The online version of this article (10.1186/s12859-019-3032-x) contains supplementary material, which is available to authorized users.
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12
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Qi Y, Volmer DA. Chemical diversity of lignin degradation products revealed by matrix-optimized MALDI mass spectrometry. Anal Bioanal Chem 2019; 411:6031-6037. [PMID: 31278551 DOI: 10.1007/s00216-019-01984-y] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2019] [Revised: 06/12/2019] [Accepted: 06/14/2019] [Indexed: 12/18/2022]
Abstract
Lignin is the most abundant natural resource of aromatic moieties and the second most abundant natural biopolymer. Analytical techniques that obtain as much information as possible on the exact structural content of lignin species are essential for developing efficient processes that transform highly complex lignin wastes into value chemicals and biofuels. For mass spectrometric analysis of lignin samples, usually electrospray ionization, atmospheric pressure chemical ionization, or atmospheric pressure photoionization are used as ionization techniques. Matrix-assisted laser desorption/ionization (MALDI) is less frequently applied but offers a much more rapid screening option for lignin mixtures. In this study, we compared several common MALDI matrices for analysis of alkali lignin and discovered that different chemical matrices exhibited very different ionization efficiencies and selectivity with respect to the structures of the lignin-related compounds as well as the presence of heteroatoms. Importantly, the results highlight that the choice of matrix strongly determines the analytical coverage of molecular species in the complex lignin degradation mixtures. Graphical abstract.
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Affiliation(s)
- Yulin Qi
- Institute of Surface-Earth System Science, Tianjin University, 92 Weijin Road, Nankai District, Tianjin, 300072, China
- Department of Chemistry, Humboldt-Universität zu Berlin, Brook-Taylor-Str. 2, 12489, Berlin, Germany
| | - Dietrich A Volmer
- Department of Chemistry, Humboldt-Universität zu Berlin, Brook-Taylor-Str. 2, 12489, Berlin, Germany.
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13
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Iacobucci C, Piotrowski C, Aebersold R, Amaral BC, Andrews P, Bernfur K, Borchers C, Brodie NI, Bruce JE, Cao Y, Chaignepain S, Chavez JD, Claverol S, Cox J, Davis T, Degliesposti G, Dong MQ, Edinger N, Emanuelsson C, Gay M, Götze M, Gomes-Neto F, Gozzo FC, Gutierrez C, Haupt C, Heck AJR, Herzog F, Huang L, Hoopmann MR, Kalisman N, Klykov O, Kukačka Z, Liu F, MacCoss MJ, Mechtler K, Mesika R, Moritz RL, Nagaraj N, Nesati V, Neves-Ferreira AGC, Ninnis R, Novák P, O’Reilly FJ, Pelzing M, Petrotchenko E, Piersimoni L, Plasencia M, Pukala T, Rand KD, Rappsilber J, Reichmann D, Sailer C, Sarnowski CP, Scheltema RA, Schmidt C, Schriemer DC, Shi Y, Skehel JM, Slavin M, Sobott F, Solis-Mezarino V, Stephanowitz H, Stengel F, Stieger CE, Trabjerg E, Trnka M, Vilaseca M, Viner R, Xiang Y, Yilmaz S, Zelter A, Ziemianowicz D, Leitner A, Sinz A. First Community-Wide, Comparative Cross-Linking Mass Spectrometry Study. Anal Chem 2019; 91:6953-6961. [PMID: 31045356 PMCID: PMC6625963 DOI: 10.1021/acs.analchem.9b00658] [Citation(s) in RCA: 75] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
The number of publications in the field of chemical cross-linking combined with mass spectrometry (XL-MS) to derive constraints for protein three-dimensional structure modeling and to probe protein-protein interactions has increased during the last years. As the technique is now becoming routine for in vitro and in vivo applications in proteomics and structural biology there is a pressing need to define protocols as well as data analysis and reporting formats. Such consensus formats should become accepted in the field and be shown to lead to reproducible results. This first, community-based harmonization study on XL-MS is based on the results of 32 groups participating worldwide. The aim of this paper is to summarize the status quo of XL-MS and to compare and evaluate existing cross-linking strategies. Our study therefore builds the framework for establishing best practice guidelines to conduct cross-linking experiments, perform data analysis, and define reporting formats with the ultimate goal of assisting scientists to generate accurate and reproducible XL-MS results.
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Affiliation(s)
- Claudio Iacobucci
- Department of Pharmaceutical Chemistry and Bioanalytics, Institute
of Pharmacy, Charles Tanford Protein Center, Martin Luther University
Halle-Wittenberg, Kurt-Mothes-Strasse 3a, 06120 Halle/Saale, Germany
| | - Christine Piotrowski
- Department of Pharmaceutical Chemistry and Bioanalytics, Institute
of Pharmacy, Charles Tanford Protein Center, Martin Luther University
Halle-Wittenberg, Kurt-Mothes-Strasse 3a, 06120 Halle/Saale, Germany
| | - Ruedi Aebersold
- Department of Biology, Institute of Molecular Systems Biology, ETH
Zurich, Otto-Stern-Weg 3, 8093 Zurich, Switzerland
- Faculty of Science, University of Zurich, 8006 Zurich,
Switzerland
| | - Bruno C. Amaral
- Institute of Chemistry, University of Campinas, Campinas São
Paulo 13083-970, Brazil
| | - Philip Andrews
- Departments of Biological Chemistry, Bioinformatics, and Chemistry,
University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Katja Bernfur
- Department of Biochemistry and Structural Biology, Center for
Molecular Protein Science, Lund University, 221 00 Lund, Sweden
| | - Christoph Borchers
- University of Victoria–Genome British Columbia Proteomics
Centre, Vancouver Island Technology Park, Victoria, British Columbia V8Z 7X8,
Canada
- Department of Biochemistry and Microbiology, University of Victoria,
Petch Building, Room 270d, 3800 Finnerty Road, Victoria, British Columbia V8P 5C2,
Canada
- Gerald Bronfman Department of Oncology, Jewish General Hospital,
McGill University, 3755 Côte Ste-Catherine Road, Montréal, Quebec H3T
1E2, Canada
- Proteomics Centre, Segal Cancer Centre, Lady Davis Institute, Jewish
General Hospital, McGill University, 3755 Côte Ste-Catherine Road,
Montréal, Quebec H3T 1E2, Canada
| | - Nicolas I. Brodie
- University of Victoria–Genome British Columbia Proteomics
Centre, Vancouver Island Technology Park, Victoria, British Columbia V8Z 7X8,
Canada
| | - James E. Bruce
- Department of Genome Sciences, University of Washington, Seattle,
Washington 98195, United States
| | - Yong Cao
- National Institute of Biological Sciences, Beijing 7 Science Park
Road, ZGC Life Science Park, 102206 Beijing, China
| | - Stéphane Chaignepain
- CBMN, UMR 5248, CNRS, Université de Bordeaux, INP Bordeaux,
Pessac 33607, France
| | - Juan D. Chavez
- Department of Genome Sciences, University of Washington, Seattle,
Washington 98195, United States
| | - Stéphane Claverol
- Centre de Génomique Fonctionnelle, Plateforme
Protéome, Université de Bordeaux, Bordeaux33000, France
| | - Jürgen Cox
- Computational Systems Biochemistry Research Group,
Max-Planck-Institute of Biochemistry, Am Klopferspitz 18, 82152 Martinsried,
Germany
| | - Trisha Davis
- Department of Biochemistry, University of Washington, Seattle,
Washington 98195, United States
| | - Gianluca Degliesposti
- MRC Laboratory of Molecular Biology, Cambridge Biomedical Campus,
Francis Crick Avenue, Cambridge CB2 0QH, U.K
| | - Meng-Qiu Dong
- National Institute of Biological Sciences, Beijing 7 Science Park
Road, ZGC Life Science Park, 102206 Beijing, China
| | - Nufar Edinger
- Department of Biological Chemistry, The Alexander Silberman
Institute of Life Sciences, Safra Campus Givat Ram, The Hebrew University of
Jerusalem, Jerusalem 91904, Israel
| | - Cecilia Emanuelsson
- Department of Biochemistry and Structural Biology, Center for
Molecular Protein Science, Lund University, 221 00 Lund, Sweden
| | - Marina Gay
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona
Institute of Science and Technology (BIST), Baldiri Reixac 10, 08028 Barcelona,
Spain
| | - Michael Götze
- Institute for Biochemistry and Biotechnology, Charles Tanford
Protein Center, Martin Luther University Halle-Wittenberg, Kurt-Mothes-Strasse 3a,
06120 Halle/Saale, Germany
| | - Francisco Gomes-Neto
- Laboratory of Toxinology, Oswaldo Cruz Institute, Fiocruz, Avenida
Brasil 4365 (Moorish Castle), Manguinhos, Rio de Janeiro, Rio de Janeiro 21040-900,
Brazil
| | - Fabio C. Gozzo
- Institute of Chemistry, University of Campinas, Campinas São
Paulo 13083-970, Brazil
| | - Craig Gutierrez
- Department of Physiology & Biophysics, University of
California, Irvine, California 92697, United States
| | - Caroline Haupt
- Interdisciplinary Research Center HALOmem, Institute for
Biochemistry and Biotechnology, Charles Tanford Protein Center, Martin Luther
University Halle-Wittenberg, Kurt-Mothes-Strasse 3a, 06120 Halle/Saale,
Germany
| | - Albert J. R. Heck
- Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for
Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, University
of Utrecht and Netherlands Proteomics Centre, Padualaan 8, 3584 CH Utrecht, The
Netherlands
| | - Franz Herzog
- Gene Center Munich, Department of Biochemistry, Faculty of Chemistry
and Pharmacy, Ludwig Maximilians University of Munich, Feodor-Lynen-Strasse 25,
81377 Munich, Germany
| | - Lan Huang
- Department of Physiology & Biophysics, University of
California, Irvine, California 92697, United States
| | - Michael R. Hoopmann
- Institute for Systems Biology, 401 Terry Avenue North, Seattle,
Washington 98109, United States
| | - Nir Kalisman
- Department of Biological Chemistry, The Alexander Silberman
Institute of Life Sciences, Safra Campus Givat Ram, The Hebrew University of
Jerusalem, Jerusalem 91904, Israel
| | - Oleg Klykov
- Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for
Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, University
of Utrecht and Netherlands Proteomics Centre, Padualaan 8, 3584 CH Utrecht, The
Netherlands
| | - Zdeněk Kukačka
- Institute of Microbiology, BIOCEV, Prumyslova 595, 252 50 Vestec,
Czech Republic
| | - Fan Liu
- Leibniz Institute of Molecular Pharmacology (FMP),
Robert-Rössle-Strasse 10, 13125 Berlin, Germany
| | - Michael J. MacCoss
- Department of Genome Sciences, University of Washington, Seattle,
Washington 98195, United States
| | - Karl Mechtler
- Protein Chemistry Facility, Research Institute of Molecular
Pathology (IMP) and Institute of Molecular Biotechnology (IMBA), Vienna Biocenter
(VBC), Dr. Bohr-Gasse 3, 1030 Vienna, Austria
| | - Ravit Mesika
- Department of Biological Chemistry, The Alexander Silberman
Institute of Life Sciences, Safra Campus Givat Ram, The Hebrew University of
Jerusalem, Jerusalem 91904, Israel
| | - Robert L. Moritz
- Institute for Systems Biology, 401 Terry Avenue North, Seattle,
Washington 98109, United States
| | - Nagarjuna Nagaraj
- Biochemistry Core Facility, Max-Planck-Institute of Biochemistry,
Am Klopferspitz 18, 82152 Martinsried, Germany
| | - Victor Nesati
- Analytical Biochemistry, CSL Limited, Bio21 Institute, 30
Flemington Road, 3010 Parkville, Melbourne, Australia
| | - Ana G. C. Neves-Ferreira
- Laboratory of Toxinology, Oswaldo Cruz Institute, Fiocruz, Avenida
Brasil 4365 (Moorish Castle), Manguinhos, Rio de Janeiro, Rio de Janeiro 21040-900,
Brazil
| | - Robert Ninnis
- Analytical Biochemistry, CSL Limited, Bio21 Institute, 30
Flemington Road, 3010 Parkville, Melbourne, Australia
| | - Petr Novák
- Institute of Microbiology, BIOCEV, Prumyslova 595, 252 50 Vestec,
Czech Republic
| | - Francis J. O’Reilly
- Chair of Bioanalytics, Institute of Biotechnology Technische
Universität Berlin, 13355 Berlin, Germany
| | - Matthias Pelzing
- Analytical Biochemistry, CSL Limited, Bio21 Institute, 30
Flemington Road, 3010 Parkville, Melbourne, Australia
| | - Evgeniy Petrotchenko
- University of Victoria–Genome British Columbia Proteomics
Centre, Vancouver Island Technology Park, Victoria, British Columbia V8Z 7X8,
Canada
| | - Lolita Piersimoni
- Departments of Biological Chemistry, Bioinformatics, and Chemistry,
University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Manolo Plasencia
- Departments of Biological Chemistry, Bioinformatics, and Chemistry,
University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Tara Pukala
- Discipline of Chemistry, Faculty of Sciences, University of
Adelaide, North Terrace, Adelaide, South Australia 5005, Australia
| | - Kasper D. Rand
- Department of Pharmacy, University of Copenhagen, 2100 Copenhagen,
Denmark
| | - Juri Rappsilber
- Chair of Bioanalytics, Institute of Biotechnology Technische
Universität Berlin, 13355 Berlin, Germany
- Wellcome Trust Centre for Cell Biology, School of Biological
Sciences, University of Edinburgh, EH9 3BF Edinburgh, U.K
| | - Dana Reichmann
- Department of Biological Chemistry, The Alexander Silberman
Institute of Life Sciences, Safra Campus Givat Ram, The Hebrew University of
Jerusalem, Jerusalem 91904, Israel
| | - Carolin Sailer
- University of Konstanz, Department of Biology,
Universitätsstrasse 10, 78457 Konstanz, Germany
| | - Chris P. Sarnowski
- Department of Biology, Institute of Molecular Systems Biology, ETH
Zurich, Otto-Stern-Weg 3, 8093 Zurich, Switzerland
- PhD Program in Systems Biology, University of Zurich and ETH
Zurich, 8092 Zurich, Switzerland
| | - Richard A. Scheltema
- Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for
Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, University
of Utrecht and Netherlands Proteomics Centre, Padualaan 8, 3584 CH Utrecht, The
Netherlands
| | - Carla Schmidt
- Interdisciplinary Research Center HALOmem, Institute for
Biochemistry and Biotechnology, Charles Tanford Protein Center, Martin Luther
University Halle-Wittenberg, Kurt-Mothes-Strasse 3a, 06120 Halle/Saale,
Germany
| | - David C. Schriemer
- Department of Biochemistry & Molecular Biology, Robson DNA
Science Centre, University of Calgary, 3330 Hospital Drive North West, Calgary,
Alberta T2N 4N1, Canada
| | - Yi Shi
- Department of Cell Biology, University of Pittsburgh, School of
Medicine, Pittsburgh, Pennsylvania 15213, United States
| | - J. Mark Skehel
- MRC Laboratory of Molecular Biology, Cambridge Biomedical Campus,
Francis Crick Avenue, Cambridge CB2 0QH, U.K
| | - Moriya Slavin
- Department of Biological Chemistry, The Alexander Silberman
Institute of Life Sciences, Safra Campus Givat Ram, The Hebrew University of
Jerusalem, Jerusalem 91904, Israel
| | - Frank Sobott
- Department of Chemistry, University of Antwerp, Groenenborgerlaan
171, 2020 Antwerp, Belgium
- The Astbury Centre for Structural Molecular Biology and School of
Molecular and Cellular Biology, University of Leeds, LS2 9JT Leeds, U.K
| | - Victor Solis-Mezarino
- Gene Center Munich, Department of Biochemistry, Faculty of Chemistry
and Pharmacy, Ludwig Maximilians University of Munich, Feodor-Lynen-Strasse 25,
81377 Munich, Germany
| | - Heike Stephanowitz
- Leibniz Institute of Molecular Pharmacology (FMP),
Robert-Rössle-Strasse 10, 13125 Berlin, Germany
| | - Florian Stengel
- University of Konstanz, Department of Biology,
Universitätsstrasse 10, 78457 Konstanz, Germany
| | - Christian E. Stieger
- Protein Chemistry Facility, Research Institute of Molecular
Pathology (IMP) and Institute of Molecular Biotechnology (IMBA), Vienna Biocenter
(VBC), Dr. Bohr-Gasse 3, 1030 Vienna, Austria
| | - Esben Trabjerg
- Department of Pharmacy, University of Copenhagen, 2100 Copenhagen,
Denmark
| | - Michael Trnka
- UCSF Mass Spectrometry Facility, Genentech Hall, 600 16th Street,
San Francisco, California 94158, United States
| | - Marta Vilaseca
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona
Institute of Science and Technology (BIST), Baldiri Reixac 10, 08028 Barcelona,
Spain
| | - Rosa Viner
- Thermo Fisher Scientific, 355 River Oaks Parkway, San Jose,
California 95134, United States
| | - Yufei Xiang
- Department of Cell Biology, University of Pittsburgh, School of
Medicine, Pittsburgh, Pennsylvania 15213, United States
| | - Sule Yilmaz
- Computational Systems Biochemistry Research Group,
Max-Planck-Institute of Biochemistry, Am Klopferspitz 18, 82152 Martinsried,
Germany
| | - Alex Zelter
- Department of Biochemistry, University of Washington, Seattle,
Washington 98195, United States
| | - Daniel Ziemianowicz
- Department of Biochemistry & Molecular Biology, Robson DNA
Science Centre, University of Calgary, 3330 Hospital Drive North West, Calgary,
Alberta T2N 4N1, Canada
| | - Alexander Leitner
- Department of Biology, Institute of Molecular Systems Biology, ETH
Zurich, Otto-Stern-Weg 3, 8093 Zurich, Switzerland
| | - Andrea Sinz
- Department of Pharmaceutical Chemistry and Bioanalytics, Institute
of Pharmacy, Charles Tanford Protein Center, Martin Luther University
Halle-Wittenberg, Kurt-Mothes-Strasse 3a, 06120 Halle/Saale, Germany
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14
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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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15
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Yu C, Huang L. Cross-Linking Mass Spectrometry: An Emerging Technology for Interactomics and Structural Biology. Anal Chem 2018; 90:144-165. [PMID: 29160693 PMCID: PMC6022837 DOI: 10.1021/acs.analchem.7b04431] [Citation(s) in RCA: 222] [Impact Index Per Article: 37.0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Affiliation(s)
- Clinton Yu
- Department of Physiology & Biophysics, University of California, Irvine, Irvine, CA 92697
| | - Lan Huang
- Department of Physiology & Biophysics, University of California, Irvine, Irvine, CA 92697
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16
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Kang YT, Kim YJ, Bu J, Cho YH, Han SW, Moon BI. High-purity capture and release of circulating exosomes using an exosome-specific dual-patterned immunofiltration (ExoDIF) device. NANOSCALE 2017; 9:13495-13505. [PMID: 28862274 DOI: 10.1039/c7nr04557c] [Citation(s) in RCA: 97] [Impact Index Per Article: 13.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/24/2023]
Abstract
We present a microfluidic device for the capture and release of circulating exosomes from human blood. The exosome-specific dual-patterned immunofiltration (ExoDIF) device is composed of two distinct immuno-patterned layers, and is capable of enhancing the chance of binding between the antibody and exosomes by generating mechanical whirling, thus achieving high-throughput exosome isolation with high specificity. Moreover, follow-up recovery after the immuno-affinity based isolation, via cleavage of a linker, enables further downstream analysis. We verified the performance of the present device using MCF-7 secreted exosomes and found that both the concentration and proportion of exosome-sized vesicles were higher than in the samples obtained from the conventional exosome isolation kit. We then isolated exosomes from the human blood samples with our device to compare the exosome level between cancer patients and healthy donors. Cancer patients show a significantly higher exosome level with higher selectivity when validating the exosome-sized vesicles using both electron microscopy and nanoparticle tracking analysis. The captured exosomes from cancer patients also express abundant cancer-associated antigens, the epithelial cell adhesion molecule (EpCAM) on their surface. Our simple and rapid exosome recovery technique has huge potential to elucidate the function of exosomes in cancer patients and can thus be applied for various exosome-based cancer research studies.
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Affiliation(s)
- Yoon-Tae Kang
- Cell Bench Research Center, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea.
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17
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Sinz A. Divide and conquer: cleavable cross-linkers to study protein conformation and protein–protein interactions. Anal Bioanal Chem 2016; 409:33-44. [DOI: 10.1007/s00216-016-9941-x] [Citation(s) in RCA: 82] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2016] [Revised: 08/25/2016] [Accepted: 09/09/2016] [Indexed: 01/28/2023]
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18
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Zheng Q, Zhang H, Wu S, Chen H. Probing Protein 3D Structures and Conformational Changes Using Electrochemistry-Assisted Isotope Labeling Cross-Linking Mass Spectrometry. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2016; 27:864-875. [PMID: 26902947 PMCID: PMC4841728 DOI: 10.1007/s13361-016-1356-6] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/18/2015] [Revised: 01/25/2016] [Accepted: 01/28/2016] [Indexed: 06/05/2023]
Abstract
This study presents a new chemical cross-linking mass spectrometry (MS) method in combination with electrochemistry and isotope labeling strategy for probing both protein three-dimensional (3D) structures and conformational changes. For the former purpose, the target protein/protein complex is cross-linked with equal mole of premixed light and heavy isotope labeled cross-linkers carrying electrochemically reducible disulfide bonds (i.e., DSP-d0 and DSP-d8 in this study, DSP = dithiobis[succinimidyl propionate]), digested and then electrochemically reduced followed with online MS analysis. Cross-links can be quickly identified because of their reduced intensities upon electrolysis and the presence of doublet isotopic peak characteristics. In addition, electroreduction converts cross-links into linear peptides, facilitating MS/MS analysis to gain increased information about their sequences and modification sites. For the latter purpose of probing protein conformational changes, an altered procedure is adopted, in which the protein in two different conformations is cross-linked using DSP-d0 and DSP-d8 separately, and then the two protein samples are mixed in 1:1 molar ratio. The merged sample is subjected to digestion and electrochemical mass spectrometric analysis. In such a comparative cross-linking experiment, cross-links could still be rapidly recognized based on their responses to electrolysis. More importantly, the ion intensity ratios of light and heavy isotope labeled cross-links reveal the conformational changes of the protein, as exemplified by examining the effect of Ca(2+) on calmodulin conformation alternation. This new cross-linking MS method is fast and would have high value in structural biology. Graphical Abstract ᅟ.
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Affiliation(s)
- Qiuling Zheng
- Center for Intelligent Chemical Instrumentation, Department of Chemistry and Biochemistry, Edison Biotechnology Institute, Ohio University, Athens, OH, 45701, USA
| | - Hao Zhang
- Department of Chemistry, Washington University, St. Louis, MO, 63130, USA
| | - Shiyong Wu
- Center for Intelligent Chemical Instrumentation, Department of Chemistry and Biochemistry, Edison Biotechnology Institute, Ohio University, Athens, OH, 45701, USA
| | - Hao Chen
- Center for Intelligent Chemical Instrumentation, Department of Chemistry and Biochemistry, Edison Biotechnology Institute, Ohio University, Athens, OH, 45701, USA.
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19
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Zhou M, Li Q, Wang R. Current Experimental Methods for Characterizing Protein-Protein Interactions. ChemMedChem 2016; 11:738-56. [PMID: 26864455 PMCID: PMC7162211 DOI: 10.1002/cmdc.201500495] [Citation(s) in RCA: 70] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2015] [Revised: 01/08/2016] [Indexed: 12/14/2022]
Abstract
Protein molecules often interact with other partner protein molecules in order to execute their vital functions in living organisms. Characterization of protein-protein interactions thus plays a central role in understanding the molecular mechanism of relevant protein molecules, elucidating the cellular processes and pathways relevant to health or disease for drug discovery, and charting large-scale interaction networks in systems biology research. A whole spectrum of methods, based on biophysical, biochemical, or genetic principles, have been developed to detect the time, space, and functional relevance of protein-protein interactions at various degrees of affinity and specificity. This article presents an overview of these experimental methods, outlining the principles, strengths and limitations, and recent developments of each type of method.
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Affiliation(s)
- Mi Zhou
- State Key Laboratory of Bioorganic & Natural Products Chemistry, Collaborative Innovation Center of Chemistry for Life Sciences, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, 345 Lingling Rd, Shanghai, 200032, People's Republic of China
| | - Qing Li
- State Key Laboratory of Bioorganic & Natural Products Chemistry, Collaborative Innovation Center of Chemistry for Life Sciences, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, 345 Lingling Rd, Shanghai, 200032, People's Republic of China
| | - Renxiao Wang
- State Key Laboratory of Bioorganic & Natural Products Chemistry, Collaborative Innovation Center of Chemistry for Life Sciences, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, 345 Lingling Rd, Shanghai, 200032, People's Republic of China.
- State Key Laboratory of Quality Research in Chinese Medicine, Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Avenida Wai Long, Macau, 999078, People's Republic of China.
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20
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Zhou M, Li Q, Wang R. Current Experimental Methods for Characterizing Protein-Protein Interactions. ChemMedChem 2016. [PMID: 26864455 DOI: 10.1002/cmdc.201500495.] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Protein molecules often interact with other partner protein molecules in order to execute their vital functions in living organisms. Characterization of protein-protein interactions thus plays a central role in understanding the molecular mechanism of relevant protein molecules, elucidating the cellular processes and pathways relevant to health or disease for drug discovery, and charting large-scale interaction networks in systems biology research. A whole spectrum of methods, based on biophysical, biochemical, or genetic principles, have been developed to detect the time, space, and functional relevance of protein-protein interactions at various degrees of affinity and specificity. This article presents an overview of these experimental methods, outlining the principles, strengths and limitations, and recent developments of each type of method.
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Affiliation(s)
- Mi Zhou
- State Key Laboratory of Bioorganic & Natural Products Chemistry, Collaborative Innovation Center of Chemistry for Life Sciences, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, 345 Lingling Rd, Shanghai, 200032, People's Republic of China
| | - Qing Li
- State Key Laboratory of Bioorganic & Natural Products Chemistry, Collaborative Innovation Center of Chemistry for Life Sciences, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, 345 Lingling Rd, Shanghai, 200032, People's Republic of China
| | - Renxiao Wang
- State Key Laboratory of Bioorganic & Natural Products Chemistry, Collaborative Innovation Center of Chemistry for Life Sciences, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, 345 Lingling Rd, Shanghai, 200032, People's Republic of China. .,State Key Laboratory of Quality Research in Chinese Medicine, Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Avenida Wai Long, Macau, 999078, People's Republic of China.
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21
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Kukacka Z, Rosulek M, Strohalm M, Kavan D, Novak P. Mapping protein structural changes by quantitative cross-linking. Methods 2015; 89:112-20. [DOI: 10.1016/j.ymeth.2015.05.027] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2014] [Revised: 04/29/2015] [Accepted: 05/26/2015] [Indexed: 11/24/2022] Open
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22
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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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23
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Tran BQ, Goodlett DR, Goo YA. Advances in protein complex analysis by chemical cross-linking coupled with mass spectrometry (CXMS) and bioinformatics. BIOCHIMICA ET BIOPHYSICA ACTA-PROTEINS AND PROTEOMICS 2015; 1864:123-9. [PMID: 26025770 DOI: 10.1016/j.bbapap.2015.05.015] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/09/2015] [Revised: 05/07/2015] [Accepted: 05/18/2015] [Indexed: 01/12/2023]
Abstract
For the analysis of protein-protein interactions and protein conformations, cross-linking coupled with mass spectrometry (CXMS) has become an essential tool in recent years. A variety of cross-linking reagents are used to covalently link interacting amino acids to identify protein-binding partners. The spatial proximity of cross-linked amino acid residues is used to elucidate structural models of protein complexes. The main challenges for mapping protein-protein interaction are low stoichiometry and low frequency of cross-linked peptides relative to unmodified linear peptides as well as accurate and efficient matches to corresponding peptide sequences with low false discovery rates for identifying the site of cross-link. We evaluate the current state of chemical cross-linking and mass spectrometry applications with the special emphasis on the recent development of informatics data processing and analysis tools that help complexity of interpreting CXMS data. This article is part of a Special Issue entitled:Physiological Enzymology and Protein Functions.
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Affiliation(s)
- Bao Quoc Tran
- Department of Pharmaceutical Sciences, School of Pharmacy, University of Maryland, Baltimore, MD, USA.
| | - David R Goodlett
- Department of Pharmaceutical Sciences, School of Pharmacy, University of Maryland, Baltimore, MD, USA.
| | - Young Ah Goo
- Department of Pharmaceutical Sciences, School of Pharmacy, University of Maryland, Baltimore, MD, USA.
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24
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Fan SB, Meng JM, Lu S, Zhang K, Yang H, Chi H, Sun RX, Dong MQ, He SM. Using pLink to Analyze Cross-Linked Peptides. ACTA ACUST UNITED AC 2015; 49:8.21.1-8.21.19. [PMID: 25754995 DOI: 10.1002/0471250953.bi0821s49] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
pLink is a search engine for high-throughput identification of cross-linked peptides from their tandem mass spectra, which is the data-analysis step in chemical cross-linking of proteins coupled with mass spectrometry analysis. pLink has accumulated more than 200 registered users from all over the world since its first release in 2012. After 2 years of continual development, a new version of pLink has been released, which is at least 40 times faster, more versatile, and more user-friendly. Also, the function of the new pLink has been expanded to identifying endogenous protein cross-linking sites such as disulfide bonds and SUMO (Small Ubiquitin-like MOdifier) modification sites. Integrated into the new version are two accessory tools: pLabel, to annotate spectra of cross-linked peptides for visual inspection and publication, and pConfig, to assist users in setting up search parameters. Here, we provide detailed guidance on running a database search for identification of protein cross-links using the 2014 version of pLink.
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Affiliation(s)
- Sheng-Bo Fan
- Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing, China.,University of the Chinese Academy of Sciences, Beijing, China
| | - Jia-Ming Meng
- Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing, China.,University of the Chinese Academy of Sciences, Beijing, China
| | - Shan Lu
- National Institute of Biological Sciences, Beijing, China
| | - Kun Zhang
- Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing, China.,University of the Chinese Academy of Sciences, Beijing, China
| | - Hao Yang
- Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing, China.,University of the Chinese Academy of Sciences, Beijing, China
| | - Hao Chi
- Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing, China
| | - Rui-Xiang Sun
- Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing, China
| | - Meng-Qiu Dong
- National Institute of Biological Sciences, Beijing, China
| | - Si-Min He
- Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing, China
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25
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Petrotchenko EV, Makepeace KA, Borchers CH. DXMSMS Match Program for Automated Analysis of LC‐MS/MS Data Obtained Using Isotopically Coded CID‐Cleavable Cross‐Linking Reagents. ACTA ACUST UNITED AC 2014; 48:8.18.1-8.18.19. [DOI: 10.1002/0471250953.bi0818s48] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Affiliation(s)
- Evgeniy V. Petrotchenko
- University of Victoria – Genome British Columbia Proteomics Centre, University of Victoria Victoria Canada
| | - Karl A.T. Makepeace
- University of Victoria – Genome British Columbia Proteomics Centre, University of Victoria Victoria Canada
| | - Christoph H. Borchers
- University of Victoria – Genome British Columbia Proteomics Centre, University of Victoria Victoria Canada
- Department of Biochemistry & Microbiology, University of Victoria, University of Victoria Victoria Canada
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Jaiswal M, Crabtree N, Bauer MA, Hall R, Raney KD, Zybailov BL. XLPM: efficient algorithm for the analysis of protein-protein contacts using chemical cross-linking mass spectrometry. BMC Bioinformatics 2014; 15 Suppl 11:S16. [PMID: 25350700 PMCID: PMC4251045 DOI: 10.1186/1471-2105-15-s11-s16] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Background Chemical cross-linking is used for protein-protein contacts mapping and for structural analysis. One of the difficulties in cross-linking studies is the analysis of mass-spectrometry data and the assignment of the site of cross-link incorporation. The difficulties are due to higher charges of fragment ions, and to the overall low-abundance of cross-link species in the background of linear peptides. Cross-linkers non-specific at one end, such as photo-inducible diazirines, may complicate the analysis further. In this report, we design and validate a novel cross-linked peptide mapping algorithm (XLPM) and compare it to StavroX, which is currently one of the best algorithms in this class. Results We have designed a novel cross-link search algorithm -XLPM - and implemented it both as an online tool and as a downloadable archive of scripts. We designed a filter based on an observation that observation of a b-ion implies observation of a complimentary y-ion with high probability (b-y filter). We validated the b-y filter on the set of linear peptides from NIST library, and demonstrate that it is an effective way to find high-quality mass spectra. Next, we generated cross-linked data from an ssDNA binding protein, Rim1with a specific cross-linker disuccinimidyl suberate, and a semi-specific cross-linker NHS-Diazirine, followed by analysis of the cross-linked products by nanoLC-LTQ-Orbitrap mass spectrometry. The cross-linked data were searched by XLPM and StavroX and the performance of the two algorithms was compared. The cross-links were mapped to the X-ray structure of Rim1 tetramer. Analysis of the mixture of NHS-Diazirine cross-linked 15N and 14N-labeled Rim1 tetramers yielded 15N-labeled to 14N-labeled cross-linked peptide pairs, corresponding to C-terminus-to-N-terminus cross-linking, demonstrating interaction between different two Rim1 tetramers. Both XLPM and StavroX were successful in identification of this interaction, with XLPM leading to a better annotation of higher-charged fragments. We also put forward a new method of estimating specificity and sensitivity of identification of a cross-linked residue in the case of a non-specific cross-linker. Conclusions The novel cross-link mapping algorithm, XLPM, considerably improves the speed and accuracy of the analysis compared to other methods. The quality selection filter based on b-to-y ions ratio proved to be an effective way to select high quality cross-linked spectra.
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Sinz A. The advancement of chemical cross-linking and mass spectrometry for structural proteomics: from single proteins to protein interaction networks. Expert Rev Proteomics 2014; 11:733-43. [DOI: 10.1586/14789450.2014.960852] [Citation(s) in RCA: 107] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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Zheng Q, Zhang H, Tong L, Wu S, Chen H. Cross-linking electrochemical mass spectrometry for probing protein three-dimensional structures. Anal Chem 2014; 86:8983-91. [PMID: 25141260 PMCID: PMC4165463 DOI: 10.1021/ac501526n] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2014] [Accepted: 08/20/2014] [Indexed: 12/27/2022]
Abstract
Chemical cross-linking combined with mass spectrometry (MS) is powerful to provide protein three-dimensional structure information but difficulties in identifying cross-linked peptides and elucidating their structures limit its usefulness. To tackle these challenges, this study presents a novel cross-linking MS in conjunction with electrochemistry using disulfide-bond-containing dithiobis[succinimidyl propionate] (DSP) as the cross-linker. In our approach, electrolysis of DSP-bridged protein/peptide products, as online monitored by desorption electrospray ionization mass spectrometry is highly informative. First, as disulfide bonds are electrochemically reducible, the cross-links are subject to pronounced intensity decrease upon electrolytic reduction, suggesting a new way to identify cross-links. Also, mass shift before and after electrolysis suggests the linkage pattern of cross-links. Electrochemical reduction removes disulfide bond constraints, possibly increasing sequence coverage for tandem MS analysis and yielding linear peptides whose structures are more easily determined than their cross-linked precursor peptides. Furthermore, this cross-linking electrochemical MS method is rapid, due to the fast nature of electrochemical conversion (much faster than traditional chemical reduction) and no need for chromatographic separation, which would be of high value for structural proteomics research.
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Affiliation(s)
- Qiuling Zheng
- Center
for Intelligent Chemical Instrumentation, Department of Chemistry
and Biochemistry and Edison Biotechnology Institute, Ohio University, Athens, Ohio 45701, United States
| | - Hao Zhang
- Department
of Chemistry, Washington University, St. Louis, Missouri 63130, United States
| | - Lingying Tong
- Center
for Intelligent Chemical Instrumentation, Department of Chemistry
and Biochemistry and Edison Biotechnology Institute, Ohio University, Athens, Ohio 45701, United States
| | - Shiyong Wu
- Center
for Intelligent Chemical Instrumentation, Department of Chemistry
and Biochemistry and Edison Biotechnology Institute, Ohio University, Athens, Ohio 45701, United States
| | - Hao Chen
- Center
for Intelligent Chemical Instrumentation, Department of Chemistry
and Biochemistry and Edison Biotechnology Institute, Ohio University, Athens, Ohio 45701, United States
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Gamella M, Guz N, Mailloux S, Pingarrón JM, Katz E. Activation of a biocatalytic electrode by removing glucose oxidase from the surface--application to signal triggered drug release. ACS APPLIED MATERIALS & INTERFACES 2014; 6:13349-13354. [PMID: 25084606 DOI: 10.1021/am504561d] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/03/2023]
Abstract
A biocatalytic electrode activated by pH signals was prepared with a multilayered nanostructured interface including PQQ-dependent glucose dehydrogenase (PQQ-GDH) directly associated with the conducting support and glucose oxidase (GOx) located on the external interface. GOx was immobilized through a pH-signal-cleavable linker composed of an iminobiotin/avidin complex. In the presence of GOx, glucose was intercepted at the external interface and biocatalytically oxidized without current generation, thus keeping the electrode in its nonactive state. When the pH value was lowered from pH 7.5 to 4.5 the iminobiotin/avidin complex was cleaved and GOx was removed from the interface allowing glucose penetration to the electrode surface where it was oxidized by PQQ-GDH yielding a bioelectrocatalytic current, thus switching the electrode to its active state. This process was used to trigger a drug-mimicking release process from another connected electrode. Furthermore, the pH-switchable electrode can be activated by biochemical signals logically processed by biocatalytic systems mimicking various Boolean gates. Therefore, the developed switchable electrode can interface biomolecular computing/sensing systems with drug-release processes.
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Affiliation(s)
- Maria Gamella
- Department of Chemistry and Biomolecular Science, Clarkson University , Potsdam, New York 13699-5810, United States
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30
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Takahashi D, Dai H, Hiromasa Y, Krishnamoorthi R, Kanost MR. Self-association of an insect β-1,3-glucan recognition protein upon binding laminarin stimulates prophenoloxidase activation as an innate immune response. J Biol Chem 2014; 289:28399-410. [PMID: 25147183 DOI: 10.1074/jbc.m114.583971] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
Insect β-glucan recognition protein (βGRP), a pathogen recognition receptor for innate immune responses, detects β-1,3-glucan on fungal surfaces via its N-terminal carbohydrate-binding domain (N-βGRP) and triggers serine protease cascades for the activation of prophenoloxidase (pro-PO) or Toll pathways. Using biophysical and biochemical methods, we characterized the interaction of the N-terminal domain from Manduca sexta βGRP2 (N-βGRP2) with laminarin, a soluble form of β-1,3-glucan. We found that carbohydrate binding by N-βGRP2 induces the formation of two types of protein-carbohydrate complexes, depending on the molar ratio of carbohydrate to protein ([C]/[P]). Precipitation, analytical ultracentrifugation, and chemical cross-linking experiments have shown that an insoluble aggregate forms when the molar ratio of carbohydrate to protein is low ([C]/[P] ∼ 1). In contrast, a soluble complex, containing at least five N-βGRP2 molecules forms at a higher molar ratio of carbohydrate/protein ([C]/[P] >5). A hypothesis that this complex is assembled partly due to protein-protein interactions was supported by chemical cross-linking experiments combined with LC-MS/MS spectrometry analysis, which permitted identification of a specific intermolecular cross-link site between N-βGRP molecules in the soluble complex. The pro-PO activation in naive plasma was strongly stimulated by addition of the insoluble aggregates of N-βGRP2. The soluble complex with laminarin formed in the plasma also stimulated pro-PO activation, but at a lower level. Taken together, these results provide experimental evidence for novel mechanisms in which associations of βGRP with microbial polysaccharide promotes assembly of βGRP oligomers, which may form a platform needed to trigger the pro-PO pathway activation cascade.
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Affiliation(s)
- Daisuke Takahashi
- From the Department of Biochemistry and Molecular Biophysics, Kansas State University, Manhattan, Kansas 66506
| | - Huaien Dai
- From the Department of Biochemistry and Molecular Biophysics, Kansas State University, Manhattan, Kansas 66506
| | - Yasuaki Hiromasa
- From the Department of Biochemistry and Molecular Biophysics, Kansas State University, Manhattan, Kansas 66506
| | - Ramaswamy Krishnamoorthi
- From the Department of Biochemistry and Molecular Biophysics, Kansas State University, Manhattan, Kansas 66506
| | - Michael R Kanost
- From the Department of Biochemistry and Molecular Biophysics, Kansas State University, Manhattan, Kansas 66506
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Gaitas A, Malhotra R, Pienta K, Kim G. Response to "Comment on 'A method to measure cellular adhesion utilizing a polymer micro-cantilever'" [Appl. Phys. Lett. 104, 236103 (2014)]. APPLIED PHYSICS LETTERS 2014; 104:236104. [PMID: 25315106 PMCID: PMC4187251 DOI: 10.1063/1.4882185] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/06/2013] [Accepted: 05/28/2014] [Indexed: 06/04/2023]
Affiliation(s)
- Angelo Gaitas
- PicoCal, Inc., 333 Parkland Plaza, Ann Arbor, Michigan 48103, USA
| | - Ricky Malhotra
- PicoCal, Inc., 333 Parkland Plaza, Ann Arbor, Michigan 48103, USA
| | - Kenneth Pienta
- Department of Urology, Johns Hopkins University School of Medicine , Marburg 121, 600 N. Wolfe Street, Baltimore, Maryland 21287-2101, USA
| | - Gwangseong Kim
- PicoCal, Inc., 333 Parkland Plaza, Ann Arbor, Michigan 48103, USA
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Zybailov BL, Glazko GV, Jaiswal M, Raney KD. Large Scale Chemical Cross-linking Mass Spectrometry Perspectives. ACTA ACUST UNITED AC 2013; 6:001. [PMID: 25045217 PMCID: PMC4101816 DOI: 10.4172/jpb.s2-001] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
The spectacular heterogeneity of a complex protein mixture from biological samples becomes even more difficult to tackle when one’s attention is shifted towards different protein complex topologies, transient interactions, or localization of PPIs. Meticulous protein-by-protein affinity pull-downs and yeast-two-hybrid screens are the two approaches currently used to decipher proteome-wide interaction networks. Another method is to employ chemical cross-linking, which gives not only identities of interactors, but could also provide information on the sites of interactions and interaction interfaces. Despite significant advances in mass spectrometry instrumentation over the last decade, mapping Protein-Protein Interactions (PPIs) using chemical cross-linking remains time consuming and requires substantial expertise, even in the simplest of systems. While robust methodologies and software exist for the analysis of binary PPIs and also for the single protein structure refinement using cross-linking-derived constraints, undertaking a proteome-wide cross-linking study is highly complex. Difficulties include i) identifying cross-linkers of the right length and selectivity that could capture interactions of interest; ii) enrichment of the cross-linked species; iii) identification and validation of the cross-linked peptides and cross-linked sites. In this review we examine existing literature aimed at the large-scale protein cross-linking and discuss possible paths for improvement. We also discuss short-length cross-linkers of broad specificity such as formaldehyde and diazirine-based photo-cross-linkers. These cross-linkers could potentially capture many types of interactions, without strict requirement for a particular amino-acid to be present at a given protein-protein interface. How these shortlength, broad specificity cross-linkers be applied to proteome-wide studies? We will suggest specific advances in methodology, instrumentation and software that are needed to make such a leap.
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Affiliation(s)
- Boris L Zybailov
- Department of Biochemistry and Molecular Biology, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Galina V Glazko
- Department of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Mihir Jaiswal
- UALR/UAMS Joint Bioinformatics Program, University of Arkansas Little Rock, Little Rock, AR, USA
| | - Kevin D Raney
- Department of Biochemistry and Molecular Biology, University of Arkansas for Medical Sciences, Little Rock, AR, USA
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A method to resolve the composition of heterogeneous affinity-purified protein complexes assembled around a common protein by chemical cross-linking, gel electrophoresis and mass spectrometry. Nat Protoc 2012; 8:75-97. [PMID: 23237831 DOI: 10.1038/nprot.2012.133] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Protein complexes form, dissociate and re-form in order to perform specific cellular functions. In this two-pronged protocol, noncovalent protein complexes are initially isolated by affinity purification for subsequent identification of the components by liquid chromatography high-resolution mass spectrometry (LC-MS) on a hybrid LTQ Orbitrap Velos. In the second prong of the approach, the affinity-purification strategy includes a chemical cross-linking step to 'freeze' a series of concurrently formed, heterogeneous protein subcomplex species that are visualized by gel electrophoresis. This branch of the methodology amalgamates standard and well-practiced laboratory methods to reveal compositional changes that occur in protein complex architecture. By using mouse N-terminally tagged streptavidin-binding peptide-hemagglutinin-TANK-binding kinase 1 (SH-TBK1), we chemically cross-linked the affinity-purified complex of SH-TBK1 with the homobifunctional lysine-specific reagent bis(sulfosuccinimidyl) suberate (BS(3)), and we separated the resultant protein complexes by denaturation and by silver-stained one- and two-dimensional SDS-PAGE. We observed a range of cross-linked TBK1 complexes of variable pI and M(r) and confirmed them by immunoblotting. LC-MS analysis of in situ-digested cross-linked proteins shows differences in the composition of the TBK1 subcomplexes. The protocol is inherently simple and can be readily extended to the investigation of a range of protein complexes. From cell lysis to data generation by LC-MS, the protocol takes approximately 2.5 to 5.5 d to perform.
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34
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Li H, Wells SA, Jimenez-Roldan JE, Römer RA, Zhao Y, Sadler PJ, O'Connor PB. Protein flexibility is key to cisplatin crosslinking in calmodulin. Protein Sci 2012; 21:1269-79. [PMID: 22733664 PMCID: PMC3631356 DOI: 10.1002/pro.2111] [Citation(s) in RCA: 33] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2012] [Accepted: 06/15/2012] [Indexed: 01/03/2023]
Abstract
Chemical crosslinking in combination with Fourier transform ion cyclotron resonance mass spectrometry (FTICR MS) has significant potential for studying protein structures and protein-protein interactions. Previously, cisplatin has been shown to be a crosslinker and crosslinks multiple methionine (Met) residues in apo-calmodulin (apo-CaM). However, the inter-residue distances obtained from nuclear magnetic resonance structures are inconsistent with the measured distance constraints by crosslinking. Met residues lie too far apart to be crosslinked by cisplatin. Here, by combining FTICR MS with a novel computational flexibility analysis, the flexible nature of the CaM structure is found to be key to cisplatin crosslinking in CaM. It is found that the side chains of Met residues can be brought together by flexible motions in both apo-CaM and calcium-bound CaM (Ca₄-CaM). The possibility of cisplatin crosslinking Ca₄-CaM is then confirmed by MS data. Therefore, flexibility analysis as a fast and low-cost computational method can be a useful tool for predicting crosslinking pairs in protein crosslinking analysis and facilitating MS data analysis. Finally, flexibility analysis also indicates that the crosslinking of platinum to pairs of Met residues will effectively close the nonpolar groove and thus will likely interfere with the binding of CaM to its protein targets, as was proved by comparing assays for cisplatin-modified/unmodified CaM binding to melittin. Collectively, these results suggest that cisplatin crosslinking of apo-CaM or Ca₄-CaM can inhibit the ability of CaM to recognize its target proteins, which may have important implications for understanding the mechanism of tumor resistance to platinum anticancer drugs.
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Affiliation(s)
- Huilin Li
- Department of Chemistry, University of WarwickCoventry, CV4 7AL, United Kingdom
| | - Stephen A Wells
- Department of Physics and Centre for Scientific Computing, University of WarwickCoventry, CV4 7AL, United Kingdom
| | - J Emilio Jimenez-Roldan
- Department of Physics and Centre for Scientific Computing, University of WarwickCoventry, CV4 7AL, United Kingdom
| | - Rudolf A Römer
- Department of Physics and Centre for Scientific Computing, University of WarwickCoventry, CV4 7AL, United Kingdom
| | - Yao Zhao
- Department of Chemistry, University of WarwickCoventry, CV4 7AL, United Kingdom
| | - Peter J Sadler
- Department of Chemistry, University of WarwickCoventry, CV4 7AL, United Kingdom
| | - Peter B O'Connor
- Department of Chemistry, University of WarwickCoventry, CV4 7AL, United Kingdom
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35
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Rapuano BE, Lee JJE, MacDonald DE. Titanium alloy surface oxide modulates the conformation of adsorbed fibronectin to enhance its binding to α(5) β(1) integrins in osteoblasts. Eur J Oral Sci 2012; 120:185-94. [PMID: 22607334 DOI: 10.1111/j.1600-0722.2012.954.x] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
Our laboratory has previously demonstrated that heat (600°C) or radiofrequency plasma glow discharge (RFGD) pretreatment of a titanium alloy (Ti6Al4V) increased the net negative charge of the alloy's surface oxide and the attachment of osteoblastic cells to adsorbed fibronectin. The purpose of the current study was to investigate the biological mechanism by which these surface pretreatments enhance the capacity of fibronectin to stimulate osteoblastic cell attachment. Each pretreatment was found to increase the binding (measured by ELISA) of a monoclonal anti-fibronectin Ig to the central integrin-binding domain of adsorbed fibronectin, and to increase the antibody's inhibition of osteogenic cell attachment (measured by hexosaminidase assay). Pretreatments also increased the binding (measured by ELISA) of anti-integrin IgG's to the α(5) and β(1) integrin subunits that became attached to fibronectin during cell incubation. These findings suggest that negatively charged surface oxides of Ti6Al4V cause conformational changes in fibronectin that increase the availability of its integrin-binding domain to α(5) β(1) integrins.
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Affiliation(s)
- Bruce E Rapuano
- Hospital for Special Surgery affiliated with the Weill Medical College of Cornell University, New York, NY 10021, USA
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36
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Vasicek L, O'Brien JP, Browning KS, Tao Z, Liu HW, Brodbelt JS. Mapping protein surface accessibility via an electron transfer dissociation selectively cleavable hydrazone probe. Mol Cell Proteomics 2012; 11:O111.015826. [PMID: 22393264 DOI: 10.1074/mcp.o111.015826] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
A protein's surface influences its role in protein-protein interactions and protein-ligand binding. Mass spectrometry can be used to give low resolution structural information about protein surfaces and conformations when used in combination with derivatization methods that target surface accessible amino acid residues. However, pinpointing the resulting modified peptides upon enzymatic digestion of the surface-modified protein is challenging because of the complexity of the peptide mixture and low abundance of modified peptides. Here a novel hydrazone reagent (NN) is presented that allows facile identification of all modified surface residues through a preferential cleavage upon activation by electron transfer dissociation coupled with a collision activation scan to pinpoint the modified residue in the peptide sequence. Using this approach, the correlation between percent reactivity and surface accessibility is demonstrated for two biologically active proteins, wheat eIF4E and PARP-1 Domain C.
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Affiliation(s)
- Lisa Vasicek
- Department of Chemistry and Biochemistry, The University of Texas at Austin, 1 University Station A5300, Austin, TX 78712, USA
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37
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Cleavable linkers in chemical biology. Bioorg Med Chem 2012; 20:571-82. [DOI: 10.1016/j.bmc.2011.07.048] [Citation(s) in RCA: 157] [Impact Index Per Article: 13.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2011] [Revised: 07/08/2011] [Accepted: 07/23/2011] [Indexed: 01/11/2023]
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38
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Mädler S, Boeri Erba E, Zenobi R. MALDI-ToF mass spectrometry for studying noncovalent complexes of biomolecules. Top Curr Chem (Cham) 2012; 331:1-36. [PMID: 22371170 DOI: 10.1007/128_2011_311] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) has been demonstrated to be a valuable tool to investigate noncovalent interactions of biomolecules. The direct detection of noncovalent assemblies is often more troublesome than with electrospray ionization. Using dedicated sample preparation techniques and carefully optimized instrumental parameters, a number of biomolecule assemblies were successfully analyzed. For complexes dissociating under MALDI conditions, covalent stabilization with chemical cross-linking is a suitable alternative. Indirect methods allow the detection of noncovalent assemblies by monitoring the fading of binding partners or altered H/D exchange patterns.
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Affiliation(s)
- Stefanie Mädler
- Department of Chemistry and Applied Biosciences, ETH Zurich, 8093, Zurich, Switzerland
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39
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Lambert W, Söderberg CAG, Rutsdottir G, Boelens WC, Emanuelsson C. Thiol-exchange in DTSSP crosslinked peptides is proportional to cysteine content and precisely controlled in crosslink detection by two-step LC-MALDI MSMS. Protein Sci 2011; 20:1682-91. [PMID: 21780214 DOI: 10.1002/pro.699] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2011] [Revised: 07/04/2011] [Accepted: 07/07/2011] [Indexed: 11/06/2022]
Abstract
The lysine-specific crosslinker 3,3'-dithiobis(sulfosuccinimidylpropionate) (DTSSP) is commonly used in the structural characterization of proteins by chemical crosslinking and mass spectrometry and we here describe an efficient two-step LC-MALDI-TOF/TOF procedure to detect crosslinked peptides. First MS data are acquired, and the properties of isotope-labeled DTSSP are used in data analysis to identify candidate crosslinks. MSMS data are then acquired for a restricted number of precursor ions per spot for final crosslink identification. We show that the thiol-catalyzed exchange between crosslinked peptides, which is due to the disulfide bond in DTSSP and known to possibly obscure data, can be precisely quantified using isotope-labeled DTSSP. Crosslinked peptides are recognized as 8 Da doublet peaks and a new isotopic peak with twice the intensity appears in the middle of the doublet as a consequence of the thiol-exchange. False-positive crosslinks, formed exclusively by thiol-exchange, yield a 1:2:1 isotope pattern, whereas true crosslinks, formed by two lysine residues within crosslinkable distance in the native protein structure, yield a 1:0:1 isotope pattern. Peaks with a 1:X:1 isotope pattern, where 0 < X < 2, can be trusted as true crosslinks, with a defined proportion of the signal [2X/(2 + X)] being noise from the thiol-exchange. The thiol-exchange was correlated with the protein cysteine content and was minimized by shortening the trypsin incubation time, and for two molecular chaperone proteins with known structure all crosslinks fitted well to the structure data. The thiol-exchange can thus be controlled and isotope-labeled DTSSP safely used to detect true crosslinks between lysine residues in proteins.
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Affiliation(s)
- Wietske Lambert
- Department of Biochemistry and Structural Biology, Center for Molecular Protein Science, Lund University, SE-22100 Lund, Sweden.
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40
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Giron P, Dayon L, Sanchez JC. Cysteine tagging for MS-based proteomics. MASS SPECTROMETRY REVIEWS 2011; 30:366-395. [PMID: 21500242 DOI: 10.1002/mas.20285] [Citation(s) in RCA: 46] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/03/2009] [Revised: 11/13/2009] [Accepted: 11/13/2009] [Indexed: 05/30/2023]
Abstract
Amino acid-tagging strategies are widespread in proteomics. Because of the central role of mass spectrometry (MS) as a detection technique in protein sciences, the term "mass tagging" was coined to describe the attachment of a label, which serves MS analysis and/or adds analytical value to the measurements. These so-called mass tags can be used for separation, enrichment, detection, and quantitation of peptides and proteins. In this context, cysteine is a frequent target for modifications because the thiol function can react specifically by nucleophilic substitution or addition. Furthermore, cysteines present natural modifications of biological importance and a low occurrence in the proteome that justify the development of strategies to specifically target them in peptides or proteins. In the present review, the mass-tagging methods directed to cysteine residues are comprehensively discussed, and the advantages and drawbacks of these strategies are addressed. Some concrete applications are given to underline the relevance of cysteine-tagging techniques for MS-based proteomics.
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Affiliation(s)
- Priscille Giron
- Biomedical Proteomics Research Group, Structural Biology and Bioinformatics Department, University of Geneva, Geneva, Switzerland
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41
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Du X, Chowdhury SM, Manes NP, Wu S, Mayer MU, Adkins JN, Anderson GA, Smith RD. Xlink-identifier: an automated data analysis platform for confident identifications of chemically cross-linked peptides using tandem mass spectrometry. J Proteome Res 2011; 10:923-31. [PMID: 21175198 DOI: 10.1021/pr100848a] [Citation(s) in RCA: 44] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Chemical cross-linking combined with mass spectrometry provides a powerful method for identifying protein-protein interactions and probing the structure of protein complexes. A number of strategies have been reported that take advantage of the high sensitivity and high resolution of modern mass spectrometers. Approaches typically include synthesis of novel cross-linking compounds, and/or isotopic labeling of the cross-linking reagent and/or protein, and label-free methods. We report Xlink-Identifier, a comprehensive data analysis platform that has been developed to support label-free analyses. It can identify interpeptide, intrapeptide, and deadend cross-links as well as underivatized peptides. The software streamlines data preprocessing, peptide scoring, and visualization and provides an overall data analysis strategy for studying protein-protein interactions and protein structure using mass spectrometry. The software has been evaluated using a custom synthesized cross-linking reagent that features an enrichment tag. Xlink-Identifier offers the potential to perform large-scale identifications of protein-protein interactions using tandem mass spectrometry.
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Affiliation(s)
- Xiuxia Du
- Department of Bioinformatics & Genomics, University of North Carolina at Charlotte, Charlotte, North Carolina 28023, USA.
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42
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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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43
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Yang L, Tang X, Weisbrod CR, Munske GR, Eng JK, von Haller PD, Kaiser NK, Bruce JE. A photocleavable and mass spectrometry identifiable cross-linker for protein interaction studies. Anal Chem 2010; 82:3556-66. [PMID: 20373789 DOI: 10.1021/ac902615g] [Citation(s) in RCA: 44] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
In this paper, we present the results of proof-of-concept experiments using a novel photocleavable and mass spectrometry identifiable cross-linker pcPIR (photocleavable protein interaction reporter). pcPIR can be dissociated under UV irradiation either off- or online before the introduction to the mass spectrometers. Photo dissociation of cross-linkers is different from either the gas phase or the chemical cleavage of cross-linkers. Different types of cross-links can be identified using the pcPIR mass relationships, where the mass of cross-linked precursor equals the sum of the masses of the released products and reporter. Since pcPIR is cleaved prior to the entrance to the mass spectrometer, the released peptides are available to be sequenced with routine collision-induced dissociation (CID) MS/MS experiments and database search algorithms. In this report, the pcPIR strategy of identifying the cross-linked peptides with on- and off-line photocleavage coupled with novel targeted data dependent LC-MS/MS is demonstrated with the use of standard peptides, bovine serum albumin (BSA), and human hemoglobin tetramer protein complex.
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Affiliation(s)
- Li Yang
- Department of Chemistry, Washington State University, Pullman, Washington 99164, USA
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44
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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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45
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Bhat S, Sorci-Thomas MG, Calabresi L, Samuel MP, Thomas MJ. Conformation of dimeric apolipoprotein A-I milano on recombinant lipoprotein particles. Biochemistry 2010; 49:5213-24. [PMID: 20524691 DOI: 10.1021/bi1003734] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
Apolipoprotein A-I Milano (apoA-I(Milano)) is a naturally occurring human mutation of wild-type apolipoprotein A-I (apoA-I(WT)) having cystine substituted for arginine(173). Two molecules of apo-I(WT) form disks with phospholipid having a defined relationship between the apoA-I(WT) molecules. ApoA-I(Milano) forms cystine homodimers that would not allow the protein to adopt the conformation reported for apoA-I(WT). The conformational constraints for dimeric apoA-I(Milano) recombinant high-density lipoprotein (rHDL) disks made with phospholipid were deduced from a combination of chemical cross-linking and mass spectrometry. Lysine-selective homobifunctional cross-linkers were reacted with homogeneous rHDL having diameters of 78 and 125 A. After reduction, cross-linked apoA-I(Milano) was separated from monomeric apoprotein by gel electrophoresis and then subjected to in-gel trypsin digest. Cross-linked peptides were confirmed by MS/MS sequencing. The cross-links provided distance constraints that were used to refine models of lipid-bound dimeric apoA-I(Milano). These studies suggest that a single dimeric apoA-I(Milano) on 78 A diameter rHDL girdles the edge of a phospholipid disk assuming a "belt" conformation similar to the "belt" region of apoA-I(WT) on rHDL. However, the C-terminal end of dimeric apoA-I(Milano) wraps around the periphery of the particle to shield the fatty acid chains from water rather than folding back onto the "belt" as does apoA-I(WT). The two apoA-I(Milano) dimers on a 125 A diameter rHDL do not encircle the periphery of a phospholipid disk but appear to reside on the surface of a laminar micelle.
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Affiliation(s)
- Shaila Bhat
- Department of Pathology, Center for Lipid Science, Wake Forest University Health Sciences, Medical Center Boulevard, Winston-Salem, North Carolina 27157, USA
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46
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Kaur G, Zhan W, Wang C, Barnhill H, Tian H, Wang Q. Crosslinking of viral nanoparticles with “clickable” fluorescent crosslinkers at the interface. Sci China Chem 2010. [DOI: 10.1007/s11426-010-3191-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
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47
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Tang X, Bruce JE. A new cross-linking strategy: protein interaction reporter (PIR) technology for protein-protein interaction studies. MOLECULAR BIOSYSTEMS 2010; 6:939-47. [PMID: 20485738 DOI: 10.1039/b920876c] [Citation(s) in RCA: 108] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Chemical cross-linking coupled with mass spectrometry, an emerging approach for protein topology and interaction studies, has gained increasing interest in the past few years. A number of recent proof-of-principle studies on model proteins or protein complex systems with improved cross-linking strategies have shown great promise. However, the heterogeneity and low abundance of the cross-linked products as well as data complexity continue to pose enormous challenges for large-scale application of cross-linking approaches. A novel mass spectrometry-cleavable cross-linking strategy embodied in Protein Interaction Reporter (PIR) technology, first reported in 2005, was recently successfully applied for in vivo identification of protein-protein interactions as well as actual regions of the interacting proteins that share close proximity while present within cells. PIR technology holds great promise for achieving the ultimate goal of mapping protein interaction network at systems level using chemical cross-linking. In this review, we will briefly describe the recent progress in the field of chemical cross-linking development with an emphasis on the PIR concepts, its applications and future directions.
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Affiliation(s)
- Xiaoting Tang
- Novo Nordisk Inflammation Research Center, Seattle, Washington, USA
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48
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Petrotchenko EV, Borchers CH. ICC-CLASS: isotopically-coded cleavable crosslinking analysis software suite. BMC Bioinformatics 2010; 11:64. [PMID: 20109223 PMCID: PMC2827373 DOI: 10.1186/1471-2105-11-64] [Citation(s) in RCA: 52] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2009] [Accepted: 01/28/2010] [Indexed: 01/18/2023] Open
Abstract
BACKGROUND Successful application of crosslinking combined with mass spectrometry for studying proteins and protein complexes requires specifically-designed crosslinking reagents, experimental techniques, and data analysis software. Using isotopically-coded ("heavy and light") versions of the crosslinker and cleavable crosslinking reagents is analytically advantageous for mass spectrometric applications and provides a "handle" that can be used to distinguish crosslinked peptides of different types, and to increase the confidence of the identification of the crosslinks. RESULTS Here, we describe a program suite designed for the analysis of mass spectrometric data obtained with isotopically-coded cleavable crosslinkers. The suite contains three programs called: DX, DXDX, and DXMSMS. DX searches the mass spectra for the presence of ion signal doublets resulting from the light and heavy isotopic forms of the isotopically-coded crosslinking reagent used. DXDX searches for possible mass matches between cleaved and uncleaved isotopically-coded crosslinks based on the established chemistry of the cleavage reaction for a given crosslinking reagent. DXMSMS assigns the crosslinks to the known protein sequences, based on the isotopically-coded and un-coded MS/MS fragmentation data of uncleaved and cleaved peptide crosslinks. CONCLUSION The combination of these three programs, which are tailored to the analytical features of the specific isotopically-coded cleavable crosslinking reagents used, represents a powerful software tool for automated high-accuracy peptide crosslink identification. See: http://www.creativemolecules.com/CM_Software.htm.
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Affiliation(s)
- Evgeniy V Petrotchenko
- University of Victoria Genome British Columbia Protein Centre, Department of Biochemistry & Microbiology, University of Victoria, #3101-4464 Markham Street, Vancouver Island Technology Park, Victoria, BC, Canada
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49
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Investigation of protein-protein interactions in living cells by chemical crosslinking and mass spectrometry. Anal Bioanal Chem 2010; 397:3433-40. [PMID: 20076950 DOI: 10.1007/s00216-009-3405-5] [Citation(s) in RCA: 78] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2009] [Revised: 12/12/2009] [Accepted: 12/14/2009] [Indexed: 01/26/2023]
Abstract
The identification of protein-protein interactions within their physiological environment is the key to understanding biological processes at the molecular level. However, the artificial nature of in vitro experiments, with their lack of other cellular components, may obstruct observations of specific cellular processes. In vivo analyses can provide information on the processes within a cell that might not be observed in vitro. Chemical crosslinking combined with mass spectrometric analysis of the covalently connected binding partners allows us to identify interacting proteins and to map their interface regions directly in the cell. In this paper, different in vivo crosslinking strategies for deriving information on protein-protein interactions in their physiological environment are described.
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50
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Shi T, Weerasekera R, Yan C, Reginold W, Ball H, Kislinger T, Schmitt-Ulms G. Method for the Affinity Purification of Covalently Linked Peptides Following Cyanogen Bromide Cleavage of Proteins. Anal Chem 2009; 81:9885-95. [DOI: 10.1021/ac901373q] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Tujin Shi
- Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, Ontario, Canada, Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada, Department of Biochemistry, University of Texas Southwestern Medical School, Dallas, Texas, and Division of Cancer Genomics and Proteomics, Ontario Cancer Institute, Toronto, Ontario, Canada
| | - Rasanjala Weerasekera
- Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, Ontario, Canada, Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada, Department of Biochemistry, University of Texas Southwestern Medical School, Dallas, Texas, and Division of Cancer Genomics and Proteomics, Ontario Cancer Institute, Toronto, Ontario, Canada
| | - Chen Yan
- Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, Ontario, Canada, Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada, Department of Biochemistry, University of Texas Southwestern Medical School, Dallas, Texas, and Division of Cancer Genomics and Proteomics, Ontario Cancer Institute, Toronto, Ontario, Canada
| | - William Reginold
- Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, Ontario, Canada, Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada, Department of Biochemistry, University of Texas Southwestern Medical School, Dallas, Texas, and Division of Cancer Genomics and Proteomics, Ontario Cancer Institute, Toronto, Ontario, Canada
| | - Haydn Ball
- Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, Ontario, Canada, Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada, Department of Biochemistry, University of Texas Southwestern Medical School, Dallas, Texas, and Division of Cancer Genomics and Proteomics, Ontario Cancer Institute, Toronto, Ontario, Canada
| | - Thomas Kislinger
- Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, Ontario, Canada, Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada, Department of Biochemistry, University of Texas Southwestern Medical School, Dallas, Texas, and Division of Cancer Genomics and Proteomics, Ontario Cancer Institute, Toronto, Ontario, Canada
| | - Gerold Schmitt-Ulms
- Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, Ontario, Canada, Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada, Department of Biochemistry, University of Texas Southwestern Medical School, Dallas, Texas, and Division of Cancer Genomics and Proteomics, Ontario Cancer Institute, Toronto, Ontario, Canada
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