Dataset Information

Confident and sensitive phosphoproteomics using combinations of collision induced dissociation and electron transfer dissociation.

ABSTRACT: We present a workflow using an ETD-optimised version of Mascot Percolator and a modified version of SLoMo (turbo-SLoMo) for analysis of phosphoproteomic data. We have benchmarked this against several database searching algorithms and phosphorylation site localisation tools and show that it offers highly sensitive and confident phosphopeptide identification and site assignment with PSM-level statistics, enabling rigorous comparison of data acquisition methods. We analysed the Plasmodium falciparum schizont phosphoproteome using for the first time, a data-dependent neutral loss-triggered-ETD (DDNL) strategy and a conventional decision-tree method. At a posterior error probability threshold of 0.01, similar numbers of PSMs were identified using both methods with a 73% overlap in phosphopeptide identifications. The false discovery rate associated with spectral pairs where DDNL CID/ETD identified the same phosphopeptide was <1%. 72% of phosphorylation site assignments using turbo-SLoMo without any score filtering, were identical and 99.8% of these cases are associated with a false localisation rate of <5%. We show that DDNL acquisition is a useful approach for phosphoproteomics and results in an increased confidence in phosphopeptide identification without compromising sensitivity or duty cycle. Furthermore, the combination of Mascot Percolator and turbo-SLoMo represents a robust workflow for phosphoproteomic data analysis using CID and ETD fragmentation.Protein phosphorylation is a ubiquitous post-translational modification that regulates protein function. Mass spectrometry-based approaches have revolutionised its analysis on a large-scale but phosphorylation sites are often identified by single phosphopeptides and therefore require more rigorous data analysis to unsure that sites are identified with high confidence for follow-up experiments to investigate their biological significance. The coverage and confidence of phosphoproteomic experiments can be enhanced by the use of multiple complementary fragmentation methods. Here we have benchmarked a data analysis pipeline for analysis of phosphoproteomic data generated using CID and ETD fragmentation and used it to demonstrate the utility of a data-dependent neutral loss triggered ETD fragmentation strategy for high confidence phosphopeptide identification and phosphorylation site localisation.

SUBMITTER: Collins MO

PROVIDER: S-EPMC4047622 | biostudies-literature | 2014 May

REPOSITORIES: biostudies-literature

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Confident and sensitive phosphoproteomics using combinations of collision induced dissociation and electron transfer dissociation.

Collins Mark O MO Wright James C JC Jones Matthew M Rayner Julian C JC Choudhary Jyoti S JS

Journal of proteomics 20140321

We present a workflow using an ETD-optimised version of Mascot Percolator and a modified version of SLoMo (turbo-SLoMo) for analysis of phosphoproteomic data. We have benchmarked this against several database searching algorithms and phosphorylation site localisation tools and show that it offers highly sensitive and confident phosphopeptide identification and site assignment with PSM-level statistics, enabling rigorous comparison of data acquisition methods. We analysed the Plasmodium falciparu ...[more]

PMID: 24657495

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Project description:Fast photochemical oxidation of proteins (FPOP) footprinting is a structural mass spectrometry method that maps proteins by fast and irreversible chemical reactions. The position of oxidative modification reflects solvent accessibility and site reactivity and thus provides information about protein conformation, structural dynamics, and interactions. Bottom-up mass spectrometry is an established standard method to analyze FPOP samples. In the bottom-up approach, all forms of the protein are digested together by a protease of choice, which results in mixture of peptides from various subpopulations of proteins with varying degrees of photochemical oxidation. But, once the protein is already oxidized at least once, the spatial distribution of any consecutive oxidation no longer truly reflects initial protein solvent accessibility and residue reactivity, because the site preference of further oxidation may also be influenced by the changes caused by the prior oxidation. Thus, it would be interesting to obtain an assessment of the protein structure based on the FPOP data, by analyzing only singly oxidized protein populations. This requires utilization of more specific top-down mass spectrometry approaches. The key element of any top-down experiment is selection of a suitable method of ion isolation, excitation and fragmentation. Here we employ and compare collision-induced dissociation (CID), electron-transfer dissociation (ETD), and electron-capture dissociation (ECD) combined with multi continuous accumulation of selected ions (CASI). Singly oxidized subpopulation of FPOP labeled ubiquitin was used to optimize the method. The usefulness was then demonstrated further by using it to visualize structural changes induced by cofactor removal from holo/apo myoglobin system. The top-down data were compared with the literature and with the bottom-up data set obtained on the same samples. The top-down results were found to be in a good agreement, which indicates that monitoring singly FPOP oxidized ion population by top-down is a functional workflow for oxidative protein footprinting.

Dataset Information

Confident and sensitive phosphoproteomics using combinations of collision induced dissociation and electron transfer dissociation.

Publications

Confident and sensitive phosphoproteomics using combinations of collision induced dissociation and electron transfer dissociation.

Similar Datasets

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