The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Expanding the Chemical Cross-Linking Toolbox by the Use of Multiple Proteases and Enrichment by Size Exclusion Chromatography
Open accessAbstract
Chemical cross-linking in combination with mass spectrometric analysis offers the potential to obtain low-resolution structural information from proteins and protein complexes. Identification of peptides connected by a cross-link provides direct evidence for the physical interaction of amino acid side chains, information that can be used for computational modeling purposes. Despite impressive advances that were made in recent years, the number of experimentally observed cross-links still falls below the number of possible contacts of cross-linkable side chains within the span of the cross-linker. Here, we propose two complementary experimental strategies to expand cross-linking data sets. First, enrichment of cross-linked peptides by size exclusion chromatography selects cross-linked peptides based on their higher molecular mass, thereby depleting the majority of unmodified peptides present in proteolytic digests of cross-linked samples. Second, we demonstrate that the use of proteases in addition to trypsin, such as Asp-N, can additionally boost the number of observable cross-linking sites. The benefits of both SEC enrichment and multiprotease digests are demonstrated on a set of model proteins and the improved workflow is applied to the characterization of the 20S proteasome from rabbit and Schizosaccharomyces pombe.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Tang, X., & Bruce, J. E. (2010) · Molecular BioSystems · doi:10.1039/b920876c · Cited by 143
Cited by
Guo, T., Kouvonen, P., Koh, C. C., Gillet, L. C., Wolski, W. E., Röst, H. L., Rosenberger, G., Collins, B. C., Blum, L. C., Gillessen, S., et al. (2015) · Nature Medicine · doi:10.1038/nm.3807 · Cited by 376
Self-citationHerzog, F., Kahraman, A., Boehringer, D., Mak, R., Bracher, A., Walzthoeni, T., Leitner, A., Beck, M., Hartl, F.-U., Ban, N., et al. (2012) · Science · doi:10.1126/science.1221483 · Cited by 371
Self-citationIntegrated Structural Analysis of the Human Nuclear Pore Complex Scaffold
Bui, K. H., von Appen, A., DiGuilio, A. L., Ori, A., Sparks, L., Mackmull, M.-T., Bock, T., Hagen, W., Andrés-Pons, A., Glavy, J. S., et al. (2013) · Cell · doi:10.1016/j.cell.2013.10.055 · Cited by 357
False discovery rate estimation for cross-linked peptides identified by mass spectrometry
Walzthoeni, T., Claassen, M., Leitner, A., Herzog, F., Bohn, S., Förster, F., Beck, M., & Aebersold, R. (2012) · Nature Methods · doi:10.1038/nmeth.2103 · Cited by 301
Self-citationIn-cell architecture of an actively transcribing-translating expressome
O’Reilly, F. J., Xue, L., Graziadei, A., Sinn, L., Lenz, S., Tegunov, D., Blötz, C., Singh, N., Hagen, W. J. H., Cramer, P., et al. (2020) · Science · doi:10.1126/science.abb3758 · Cited by 284
Metadata
- Authors
- Leitner, A., Reischl, R., Walzthoeni, T., Herzog, F., Bohn, S., Förster, F., & Aebersold, R.
- Venue
- Molecular & Cellular Proteomics
- Publisher
- Elsevier BV
- Published
- 2012-03
- Volume
- 11
- Issue
- 3
- Pages
- M111.014126
- ISSN
- 1535-9476 (ISSN-L)
- OpenAlex
- W2168248023
- Cited by
- 307
- References
- 1
- FWCI
- 11.04
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Expanding the Chemical Cross-Linking Toolbox by the Use of Multiple Proteases and Enrichment by Size Exclusion Chromatography. https://app.cochat.ai/papers/10.1074/mcp.m111.014126
- The paper
- Leitner, A., Reischl, R., Walzthoeni, T., Herzog, F., Bohn, S., Förster, F., & Aebersold, R. (2012). Expanding the Chemical Cross-Linking Toolbox by the Use of Multiple Proteases and Enrichment by Size Exclusion Chromatography. Molecular & Cellular Proteomics. https://doi.org/10.1074/mcp.m111.014126
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.