Cross-linking mass spectrometry for structure analysis of the intrinsically disordered Tau and phosphorylated Tau protein
We present a novel method for analyzing the folding of intrinsically disordered proteins (IDPs), such as Tau and phosphorylated Tau (pTau), in solution. Using cross-linking mass spectrometry (XL-MS) combined with a new downstream analysis framework, we construct weighted interaction networks from cross-link-derived residue pairs without relying on predefined secondary structure assumptions. Structural differences between protein conformations are quantified by comparing the organization of loop structures within their cross-link networks. Validation with bovine serum albumin (BSA) in native and denatured states shows that at least 500 cross-links-requiring 5-10 replicate measurements-are needed for reliable detection of structural divergence. Leave-one-out analysis confirms that structural transitions are global, highlighting the importance of comprehensive cross-link datasets. The coverage of unique cross-links was evaluated using accumulation curves from randomized permutations. Saturation levels were found to be 9.7%, 5.0%, and 6.2% of the total 528 and 10,731 possible cross-links after 30, 84, and 62 technical replicates, respectively, for myoglobin, native BSA, and denatured BSA. For Tau and pTau, coverage reached 10.8% and 5.5% of the upper limit (8,256). Finally, applying our structural analysis to Tau and pTau during arachidonic acid-induced aggregation revealed distinct patterns of structural evolution between the two proteins.
Authors
- Luise Luckau (ORCID: https://orcid.org/0000-0003-0643-8153)
- Alexander J. Gates (ORCID: https://orcid.org/0000-0003-0099-7480)
- André Märtens (ORCID: https://orcid.org/0000-0002-8243-3285)
- Valentina Faustinelli
- Anne-Katrin Römmert
- Gavin O’Connor
- Cristian Arsene
Institutions
- Physikalisch-Technische Bundesanstalt (DE)
- Guildford College (GB)
- University of Virginia (US)
Publication Details
- Journal
- PLoS Computational Biology
- Published
- 2026-01-14
- DOI
- https://doi.org/10.1371/journal.pcbi.1013868
- Primary Topic
- Advanced Proteomics Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00