Abstract
This protocol describes a workflow for utilizing large-scale cross-linking with mass spectrometry (XL-MS) to make systems-level structural biology measurements in complex biological samples, including cells, isolated organelles, and tissue samples. XL-MS is a structural biology technique that provides information on the molecular structure of proteins and protein complexes using chemical probes that report the proximity of probe-reactive amino acids within proteins, typically lysine residues. Information gained through XL-MS studies is often complementary to more traditional methods, such as X-ray crystallography, nuclear magnetic resonance, and cryo-electron microscopy. The use of MS-cleavable cross-linkers, including protein interaction reporter (PIR) technologies, enables XL-MS studies on protein structures and interactions in extremely complex biological samples, including intact living cells. PIR cross-linkers are designed to contain chemical bonds at specific locations within the cross-linker molecule that can be selectively cleaved by collision-induced dissociation or UV light. When broken, these bonds release the intact peptides that were cross-linked, as well as a reporter ion. Conservation of mass dictates that the sum of the two released peptide masses and the reporter mass equals the measured precursor mass. This relationship is used to identify cross-linked peptide pairs. Release of the individual peptides permits accurate measurement of their masses and independent amino acid sequence determination by tandem MS, allowing the use of standard proteomics search engines such as Comet for peptide sequence assignment, greatly simplifying data analysis of cross-linked peptide pairs. Search results are processed with XLinkProphet for validation and can be uploaded into XlinkDB for interaction network and structural analysis.
This is a preview of subscription content, access via your institution
Relevant articles
Open Access articles citing this article.
-
Cross-linking/mass spectrometry at the crossroads
Analytical and Bioanalytical Chemistry Open Access 29 May 2020
Access options
Access Nature and 54 other Nature Portfolio journals
Get Nature+, our best-value online-access subscription
$29.99 / 30 days
cancel any time
Subscribe to this journal
Receive 12 print issues and online access
$209.00 per year
only $17.42 per issue
Rent or buy this article
Get just this article for as long as you need it
$39.95
Prices may be subject to local taxes which are calculated during checkout






Data availability
Data are freely available online. Raw data from Chavez, J. D. et al. Cell Syst. 6, 136–141 (2018) https://doi.org/10.1016/j.cels.2017.10.017 (used for Fig. 6) are available in the PRIDE Archive (http://www.ebi.ac.uk/pride/archive/) with accession no. PXD007673. Cross-linking data are available in XLinkDB (http://xlinkdb.gs.washington.edu/) under network name ChavezCellSystems2017 BruceLab.
Code availability
All necessary software is freely available for the foreseeable future online at the respective sources: XLinkProphet (https://github.com/brucelab/xlinkprophet), mango (https://github.com/jpm369/mango), Comet (http://comet-ms.sourceforge.net/), ReAdW (https://sourceforge.net/projects/sashimi/files/ReAdW%20%28Xcalibur%20converter%29/), and perl (https://www.perl.org/get.html). In addition, the versions of these software used in this protocol are available in the Supplementary Software file.
References
Holding, A. N. XL-MS: protein cross-linking coupled with mass spectrometry. Methods 89, 54–63 (2015).
Leitner, A. et al. Crosslinking and mass spectrometry: an integrated technology to understand the structure and function of molecular machines. Trends Biochem. Sci. 41, 20–32 (2016).
Paramelle, D. et al. Chemical cross-linkers for protein structure studies by mass spectrometry. Proteomics 13, 438–456 (2013).
Sinz, A. Divide and conquer: cleavable cross-linkers to study protein conformation and protein–protein interactions. Anal. Bioanal. Chem. 409, 33–44 (2017).
Rappsilber, J. The beginning of a beautiful friendship: cross-linking/mass spectrometry and modelling of proteins and multi-protein complexes. J. Struct. Biol. 173, 530–540 (2011).
Anderson, G. A. et al. Informatics strategies for large-scale novel cross-linking analysis. J. Proteome Res. 6, 3412–3421 (2007).
Leitner, A. et al. Probing native protein structures by chemical cross-linking, mass spectrometry, and bioinformatics. Mol. Cell Proteomics 9, 1634–1649 (2010).
Liu, F. et al. Proteome-wide profiling of protein assemblies by cross-linking mass spectrometry. Nat. Methods 12, 1179–1184 (2015).
Tan, D. et al. Trifunctional cross-linker for mapping protein-protein interaction networks and comparing protein conformational states. Elife 5, e12509 (2016).
Schweppe, D. K. et al. Mitochondrial protein interactome elucidated by chemical cross-linking mass spectrometry. Proc. Natl. Acad. Sci. USA 114, 1732–1737 (2017).
Liu, F. et al. The interactome of intact mitochondria by cross-linking mass spectrometry provides evidence for coexisting respiratory supercomplexes. Mol Cell Proteomics 17, 216–232 (2018).
Fasci, D. et al. Histone interaction landscapes visualized by crosslinking mass spectrometry in intact cell nuclei. Mol. Cell Proteomics 17, 2018–2033 (2018).
Wu, X. et al. Dynamic proteome response of Pseudomonas aeruginosa to tobramycin antibiotic treatment. Mol. Cell Proteomics 14, 2126–2137 (2015).
Schweppe, D. K. et al. Host–microbe protein interactions during bacterial infection. Chem. Biol. 22, 1521–1530 (2015).
Navare, A. T. et al. Probing the protein interaction network of Pseudomonas aeruginosa cells by chemical cross-linking mass spectrometry. Structure 23, 762–773 (2015).
Weisbrod, C. R. et al. In vivo protein interaction network identified with a novel real-time cross-linked peptide identification strategy. J. Proteome Res. 12, 1569–1579 (2013).
Chavez, J. D. et al. Protein interactions, post-translational modifications and topologies in human cells. Mol. Cell Proteomics 12, 1451–1467 (2013).
Kaake, R. M. et al. A new in vivo cross-linking mass spectrometry platform to define protein–protein interactions in living cells. Mol. Cell Proteomics 13, 3533–3543 (2014).
Wu, X. et al. In vivo protein interaction network analysis reveals porin-localized antibiotic inactivation in Acinetobacter baumannii strain AB5075. Nat. Commun. 7, 13414 (2016).
Chavez, J. D. et al. Chemical crosslinking mass spectrometry analysis of protein conformations and supercomplexes in heart tissue. Cell Syst. 6, 136–141.e5 (2018).
Klykov, O. et al. Efficient and robust proteome-wide approaches for cross-linking mass spectrometry. Nat. Protoc. 13, 2964–2990 (2010).
Iacobucci, C. et al. A cross-linking/mass spectrometry workflow based on MS-cleavable cross-linkers and the MeroX software for studying protein structures and protein–protein interactions. Nat. Protoc. 13, 2864–2889 (2018).
Orban-Nemeth, Z. et al. Structural prediction of protein models using distance restraints derived from cross-linking mass spectrometry data. Nat. Protoc. 13, 478–494 (2018).
Tang, X. et al. Mass spectrometry identifiable cross-linking strategy for studying protein–protein interactions. Anal. Chem. 77, 311–318 (2005).
Tang, X. & Bruce, J. E. A new cross-linking strategy: protein interaction reporter (PIR) technology for protein–protein interaction studies. Mol. Biosyst. 6, 939–947 (2010).
Petrotchenko, E. V. et al. BiPS, a photocleavable, isotopically coded, fluorescent cross-linker for structural proteomics. Mol. Cell Proteomics 8, 273–286 (2009).
Yang, L. et al. In vivo application of photocleavable protein interaction reporter technology. J. Proteome Res. 11, 1027–1041 (2012).
Zheng, Q. et al. Probing protein 3D structures and conformational changes using electrochemistry-assisted isotope labeling cross-linking mass spectrometry. J. Am. Soc. Mass. Spectrom. 27, 864–875 (2016).
Zheng, Q. et al. Cross-linking electrochemical mass spectrometry for probing protein three-dimensional structures. Anal. Chem. 86, 8983–8991 (2014).
Kao, A. et al. Development of a novel cross-linking strategy for fast and accurate identification of cross-linked peptides of protein complexes. Mol. Cell Proteomics 10, M110.002212 (2011).
Muller, M. Q. et al. A universal matrix-assisted laser desorption/ionization cleavable cross-linker for protein structure analysis. Rapid Commun. Mass. Spectrom. 25, 155–161 (2011).
Petrotchenko, E. V., Serpa, J. J. & Borchers, C. H. An isotopically coded CID-cleavable biotinylated cross-linker for structural proteomics. Mol. Cell Proteomics 10, M110.001420 (2011).
Tang, X. et al. Profiling the membrane proteome of Shewanella oneidensis MR-1 with new affinity labeling probes. J. Proteome Res. 6, 724–734 (2007).
Schmidt, C. & Urlaub, H. Combining cryo-electron microscopy (cryo-EM) and cross-linking mass spectrometry (CX-MS) for structural elucidation of large protein assemblies. Curr. Opin. Struct. Biol. 46, 157–168 (2017).
Rinner, O. et al. Identification of cross-linked peptides from large sequence databases. Nat. Methods 5, 315–318 (2008).
Mohr, J. P. et al. Mango: a general tool for collision induced dissociation-cleavable cross-linked peptide identification. Anal. Chem. 90, 6028–6034 (2018).
Zheng, C., Perumalla, P., Chavez, J. D., Eng, J. K. & Bruce, J. E. XLink-DB: database and software tools for storing and visualizing protein interaction topology data. J. Proteome Res. 12, 1989–1995 (2013).
Schweppe, D. K. et al. XLinkDB 2.0: integrated, large-scale structural analysis of protein crosslinking data. Bioinformatics 32, 2716–2718 (2016).
Keller, A., Chavez, J. D., Eng, J. K., Thornton, Z. & Bruce, J. E. Tools for 3D interactome visualization. J. Proteome Res. 18, 753–758 (2018).
Chavez, J. D. et al. A general method for targeted quantitative cross-linking mass spectrometry. PLoS ONE 11, e0167547 (2016).
Chavez, J. D., Schweppe, D. K., Eng, J. K. & Bruce, J. E. In vivo conformational dynamics of Hsp90 and its interactors. Cell Chem. Biol. 23, 716–726 (2016).
Chavez, J. D. et al. Quantitative interactome analysis reveals a chemoresistant edgotype. Nat. Commun. 6, 7928 (2015).
Zhong, X. et al. Large-scale and targeted quantitative cross-linking MS using isotope-labeled protein interaction reporter (PIR) cross-linkers. J. Proteome Res. 16, 720–727 (2016).
Chavez, J. D. et al. Cross-linking measurements of the potato leafroll virus reveal protein interaction topologies required for virion stability, aphid transmission, and virus–plant interactions. J. Proteome Res. 11, 2968–2981 (2012).
DeBlasio, S. L. et al. Visualization of host–polerovirus interaction topologies using protein interaction reporter technology. J. Virol. 90, 1973–1987 (2016).
Alexander, M. M. et al. Insights in luteovirid structural biology guided by chemical cross-linking and high resolution mass spectrometry. Virus Res. 241, 42–52 (2017).
Zhang, H. et al. In vivo identification of the outer membrane protein OmcA–MtrC interaction network in Shewanella oneidensis MR-1 cells using novel hydrophobic chemical cross-linkers. J. Proteome Res. 7, 1712–1720 (2008).
Ramsey, J. S. et al. Protein interaction networks at the host-microbe interface in Diaphorina citri, the insect vector of the citrus greening pathogen. R. Soc. Open Sci. 4, 160545 (2017).
Zheng, C. et al. Cross-linking measurements of in vivo protein complex topologies. Mol. Cell Proteomics 10, M110.006841 (2011).
Rozbesky, D. et al. Impact of chemical cross-linking on protein structure and function. Anal. Chem. 90, 1104–1113 (2018).
Ding, Y. H. et al. Modeling protein excited-state structures from “over-length” chemical cross-links. J. Biol. Chem. 292, 1187–1196 (2017).
Singh, P., Panchaud, A. & Goodlett, D. R. Chemical cross-linking and mass spectrometry as a low-resolution protein structure determination technique. Anal. Chem. 82, 2636–2642 (2010).
Eng, J. K., Jahan, T. A. & Hoopmann, M. R. Comet: an open-source MS/MS sequence database search tool. Proteomics 13, 22–24 (2013).
Fischer, L. & Rappsilber, J. Quirks of error estimation in cross-linking/mass spectrometry. Anal. Chem. 89, 3829–3833 (2017).
Trnka, M. J. et al. Matching cross-linked peptide spectra: only as good as the worse identification. Mol. Cell Proteomics 13, 420–434 (2014).
Keller, A., Chavez, J. D. & Bruce, J. E. Increased sensitivity with automated validation of XL-MS cleavable peptide crosslinks. Bioinformatics 35, 895–897 (2019).
Keller, A. et al. A uniform proteomics MS/MS analysis platform utilizing open XML file formats. Mol. Syst. Biol. 1, 2005.0017 (2005).
Keller, A. et al. Empirical statistical model to estimate the accuracy of peptide identifications made by MS/MS and database search. Anal. Chem. 74, 5383–5392 (2002).
Shteynberg, D. et al. iProphet: multi-level integrative analysis of shotgun proteomic data improves peptide and protein identification rates and error estimates. Mol. Cell Proteomics 10, M111.007690 (2011).
Kulak, N. A. et al. Minimal, encapsulated proteomic-sample processing applied to copy-number estimation in eukaryotic cells. Nat. Methods 11, 319–324 (2014).
Liang, K. et al. Cryo-EM structure of human mitochondrial trifunctional protein. Proc. Natl. Acad. Sci. USA 115, 7039–7044 (2018).
Jacobs, A. C. et al. AB5075, a highly virulent isolate of Acinetobacter baumannii, as a model strain for the evaluation of pathogenesis and antimicrobial treatments. MBio 5, e01076-14 (2014).
Acknowledgements
We thank members of the Bruce Lab for helpful discussions and suggestions. This work was supported by the following NIH grants: R01GM086688 to J.E.B., J.D.C., and A.K.; R01GM097112 to J.E.B. and J.P.M.; U19AI107775 to J.E.B., X.Z., and A.K.; R01HL110349 to J.E.B. and J.D.C.; and R01HL142628 to J.E.B. and J.D.C.
Author information
Authors and Affiliations
Contributions
J.D.C., J.P.M., M.M., X.Z., A.K., and J.E.B. contributed to the development of this protocol. J.D.C., J.P.M., and J.E.B. wrote and edited the manuscript.
Corresponding author
Ethics declarations
Competing interests
The authors declare no competing interests.
Additional information
Peer review information: Nature Protocols thanks Andrea Sinz and other anonymous reviewer(s) for their contribution to the peer review of this work.
Publisher’s note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Related links
Key references using this protocol
Chavez, J. D., Schweppe, D. K., Eng, J. K., & Bruce, J. E. Cell Chem. Biol. 23, 716–726 (2016): https://doi.org/10.1016/j.chembiol.2016.05.012
Wu, X. et al. Nat. Commun. 7, 13414 (2016): https://doi.org/10.1038/ncomms13414
Mohr, J. P., Perumalla, P., Chavez, J. D., Eng, J. K., & Bruce, J. E. Anal. Chem. 90, 6028–6034 (2018): https://doi.org/10.1021/acs.analchem.7b04991
Keller, A., Chavez, J. D., & Bruce, J. E. Bioinformatics 35, 895–897 (2019): https://doi.org/10.1093/bioinformatics/bty720
Keller, A., Chavez, J. D., Eng, J. K., Thornton, Z., & Bruce, J. E. J. Proteome Res. 18, 753–758 (2019): https://doi.org/10.1021/acs.jproteome.8b00703
Key data used in this protocol
Chavez, J. D. et al. Cell Syst. 6, 136–141.e5 (2018): https://doi.org/10.1016/j.cels.2017.10.017
Supplementary information
Rights and permissions
About this article
Cite this article
Chavez, J.D., Mohr, J.P., Mathay, M. et al. Systems structural biology measurements by in vivo cross-linking with mass spectrometry. Nat Protoc 14, 2318–2343 (2019). https://doi.org/10.1038/s41596-019-0181-3
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1038/s41596-019-0181-3
This article is cited by
-
Mitochondrial interactome quantitation reveals structural changes in metabolic machinery in the failing murine heart
Nature Cardiovascular Research (2022)
-
Cross-linking/mass spectrometry at the crossroads
Analytical and Bioanalytical Chemistry (2020)
Comments
By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.