False discovery rate estimation and heterobifunctional cross-linkers
Abstract
False discovery rate (FDR) estimation is a cornerstone of proteomics that has recently been adapted to cross-linking/mass spectrometry. Here we demonstrate that heterobifunctional cross-linkers, while theoretically different from homobifunctional cross-linkers, need not be considered separately in practice. We develop and then evaluate the impact of applying a correct FDR formula for use of heterobifunctional cross-linkers and conclude that there are minimal practical advantages. Hence a single formula can be applied to data generated from the many different non-cleavable cross-linkers.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 22
- FWCI
- 1.08
- Field percentile
- top 28%
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Mimicked synthetic ribosomal protein complex for benchmarking cross-linking mass spectrometry workflows
Manuel Matzinger, Adrian Vasiu, … Karl Mechtler·Nature CommunicationsPeer-reviewed·Jul 8, 2022
- Rescuing error control in crosslinking mass spectrometry
Lutz Fischer, Juri Rappsilber·Molecular Systems BiologyPeer-reviewed·Aug 2, 2024
- Reliable identification of protein-protein interactions by crosslinking mass spectrometry
Swantje Lenz, Ludwig Roman Sinn, … Juri Rappsilber·Nature CommunicationsPeer-reviewed·Jun 11, 2021
- A mono- and intralink filter (mi-filter) to improve false-discovery rates in cross-linking mass spectrometry data
X. Chen, C. Sailer, … F. Stengel·bioRxiv·Feb 3, 2022
- Target-decoy false discovery rate estimation using Crema
Andy Lin, Donavan See, … William Stafford Noble·PROTEOMICSPeer-reviewed·Feb 21, 2024
- Exhaustive Cross-linking Search with Protein Feedback
Chen Zhou, Shuaijian Dai, … Weichuan Yu·Journal of Proteome ResearchPeer-reviewed·Dec 8, 2022