The DOI matches its Crossref record; 84 of the 84 references it cites were found in a registry or an index.
Structural Probing of a Protein Phosphatase 2A Network by Chemical Cross-Linking and Mass Spectrometry
Abstract
Dynamic Assembly: Structural characterization of protein complexes has yielded significant insight into biological function; however, most structural techniques require stable, homogenous samples. This presents a challenge in characterizing transient signaling complexes. Herzog et al. (p. 1348 ) used chemical cross-linking and mass spectroscopy (XL-MS) to characterize the modular and dynamic interaction network involving phosphatase 2A (PP2A), which interacts with tens of regulatory and adaptor proteins in diverse signaling pathways. They found 176 interprotein and 569 intraprotein distance restraints that delineated the topology of the network. The study establishes the importance of XL-MS in the suite of structural methods used to characterize dynamic assemblies.
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Mass-spectrometric exploration of proteome structure and function
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Self-citationIntegrated Structural Analysis of the Human Nuclear Pore Complex Scaffold
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Metadata
- Authors
- Herzog, F., Kahraman, A., Boehringer, D., Mak, R., Bracher, A., Walzthoeni, T., Leitner, A., Beck, M., Hartl, F.-U., Ban, N., Malmström, L., & Aebersold, R.
- Venue
- Science
- Published
- 2012-09-14
- Volume
- 337
- Issue
- 6100
- Pages
- 1348-1352
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2107755102
- Cited by
- 371
- References
- 84
- FWCI
- 19.55
- Type
- journal article
- Language
- en
- Open access
- closed
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- Herzog, F., Kahraman, A., Boehringer, D., Mak, R., Bracher, A., Walzthoeni, T., Leitner, A., Beck, M., Hartl, F.-U., Ban, N., Malmström, L., & Aebersold, R. (2012). Structural Probing of a Protein Phosphatase 2A Network by Chemical Cross-Linking and Mass Spectrometry. Science. https://doi.org/10.1126/science.1221483
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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.
