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Triple-Stage Mass Spectrometry Unravels the Heterogeneity of an Endogenous Protein Complex.

ABSTRACT: Protein complexes often represent an ensemble of different assemblies with distinct functions and regulation. This increased complexity is enabled by the variety of protein diversification mechanisms that exist at every step of the protein biosynthesis pathway, such as alternative splicing and post transcriptional and translational modifications. The resulting variation in subunits can generate compositionally distinct protein assemblies. These different forms of a single protein complex may comprise functional variances that enable response and adaptation to varying cellular conditions. Despite the biological importance of this layer of complexity, relatively little is known about the compositional heterogeneity of protein complexes, mostly due to technical barriers of studying such closely related species. Here, we show that native mass spectrometry (MS) offers a way to unravel this inherent heterogeneity of protein assemblies. Our approach relies on the advanced Orbitrap mass spectrometer capable of multistage MS analysis across all levels of protein organization. Specifically, we have implemented a two-step fragmentation process in the inject flatapole device, which was converted to a linear ion trap, and can now probe the intact protein complex assembly, through its constituent subunits, to the primary sequence of each protein. We demonstrate our approach on the yeast homotetrameric FBP1 complex, the rate-limiting enzyme in gluconeogenesis. We show that the complex responds differently to changes in growth conditions by tuning phosphorylation dynamics. Our methodology deciphers, on a single instrument and in a single measurement, the stoichiometry, kinetics, and exact position of modifications, contributing to the exposure of the multilevel diversity of protein complexes.

SUBMITTER: Ben-Nissan G

PROVIDER: S-EPMC5702261 | biostudies-literature | 2017 Apr

REPOSITORIES: biostudies-literature

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Triple-Stage Mass Spectrometry Unravels the Heterogeneity of an Endogenous Protein Complex.

Ben-Nissan Gili G Belov Mikhail E ME Morgenstern David D Levin Yishai Y Dym Orly O Arkind Galina G Lipson Carni C Makarov Alexander A AA Sharon Michal M

Analytical chemistry 20170406 8

Protein complexes often represent an ensemble of different assemblies with distinct functions and regulation. This increased complexity is enabled by the variety of protein diversification mechanisms that exist at every step of the protein biosynthesis pathway, such as alternative splicing and post transcriptional and translational modifications. The resulting variation in subunits can generate compositionally distinct protein assemblies. These different forms of a single protein complex may com ...[more]

PMID: 28345864

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Project description:Recently, mass spectrometry (MS) has become a viable method for elucidation of protein structure. Surface-induced dissociation (SID), colliding multiply charged protein complexes or other ions with a surface, has been paired with native MS to provide useful structural information such as connectivity and topology for many different protein complexes. We recently showed that SID gives information not only on connectivity and topology but also on relative interface strengths. However, SID has not yet been coupled with computational structure prediction methods that could use the sparse information from SID to improve the prediction of quaternary structures, i.e., how protein subunits interact with each other to form complexes. Protein-protein docking, a computational method to predict the quaternary structure of protein complexes, can be used in combination with subunit structures from X-ray crystallography and NMR in situations where it is difficult to obtain an experimental structure of an entire complex. While de novo structure prediction can be successful, many studies have shown that inclusion of experimental data can greatly increase prediction accuracy. In this study, we show that the appearance energy (AE, defined as 10% fragmentation) extracted from SID can be used in combination with Rosetta to successfully evaluate protein-protein docking poses. We developed an improved model to predict measured SID AEs and incorporated this model into a scoring function that combines the RosettaDock scoring function with a novel SID scoring term, which quantifies agreement between experiments and structures generated from RosettaDock. As a proof of principle, we tested the effectiveness of these restraints on 57 systems using ideal SID AE data (AE determined from crystal structures using the predictive model). When theoretical AEs were used, the RMSD of the selected structure improved or stayed the same in 95% of cases. When experimental SID data were incorporated on a different set of systems, the method predicted near-native structures (less than 2 Å root-mean-square deviation, RMSD, from native) for 6/9 tested cases, while unrestrained RosettaDock (without SID data) only predicted 3/9 such cases. Score versus RMSD funnel profiles were also improved when SID data were included. Additionally, we developed a confidence measure to evaluate predicted model quality in the absence of a crystal structure.

Dataset Information

Triple-Stage Mass Spectrometry Unravels the Heterogeneity of an Endogenous Protein Complex.

Publications

Triple-Stage Mass Spectrometry Unravels the Heterogeneity of an Endogenous Protein Complex.

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