Relative interfacial cleavage energetics of protein complexes revealed by surface collisions

Ion Mobility and Surface Collisions: Submicrometer Capillaries Can Produce Native-like Protein Complexes

The use of submicrometer capillaries for nanoelectrospray ionization of native proteins and protein complexes effectively reduces the number of nonspecific salt adducts to biological molecules, therefore increasing the apparent resolution of a mass spectrometer without any further instrument modifications or increased ion activation. However, the increased interaction between proteins and the surface of the capillary has been shown to promote protein expansion and therefore loss of native structure. Here, we compare the effect of micrometer and submicrometer sized capillaries on the native structures of the protein complexes streptavidin, concanavalin A, and C-reactive protein under charge reducing conditions. We observe that the use of submicrometer capillaries did not result in a significantly higher charge state distribution, indicative of expansion, when compared to micrometer sized capillaries for complexes in 100 mM ammonium acetate and 100 mM triethylammonium acetate and for streptavidin in 200 mM ammonium acetate with no charge reduction. Additionally, no significant differences in collision cross sections were observed using ion mobility mass spectrometry. Finally, the dissociation behaviors of protein complexes ionized using micrometer and submicrometer capillaries were compared to determine if any structural perturbation occurred during ionization. Protein complexes from both capillary sizes displayed similar surface-induced dissociation patterns at similar activation energies. The results suggest that submicrometer capillaries do not result in significant changes to protein complex structure under charge reducing conditions and may be used for native mass spectrometry experiments. Submicrometer capillaries can be used to resolve small mass differences of biological systems on a QTOF platform; however, a laser tip puller is required for pulling reproducible submicrometer capillaries, and disruption in spray due to clogging was observed for larger protein complexes.

Design and Performance of a Second-Generation Surface-Induced Dissociation Cell for Fourier Transform Ion Cyclotron Resonance Mass Spectrometry of Native Protein Complexes

A second-generation ("Gen 2") device capable of surface-induced dissociation (SID) and collision-induced dissociation (CID) for Fourier transform ion cyclotron resonance mass spectrometry of protein complexes has been designed, simulated, fabricated, and experimentally compared to a first-generation device ("Gen 1"). The primary goals of the redesign were to (1) simplify SID by reducing the number of electrodes, (2) increase CID and SID sensitivity by lengthening the collision cell, and (3) increase the mass range of the device for analysis of larger multimeric proteins, all while maintaining the normal instrument configuration and operation. Compared to Gen 1, Gen 2 exhibits an approximately 10× increase in sensitivity in flythrough mode, 7× increase in CID sensitivity for protonated leucine enkephalin (m/z 556), and 14× increase of CID sensitivity of 53 kDa streptavidin tetramer. It also approximately doubles the useful mass range (from m/z 8000 to m/z 15 000) using a rectilinear ion trap with a smaller inscribed radius or triples it (to m/z 22 000) using a hexapole collision cell and yields a 3-10× increase in SID sensitivity. We demonstrate the increased mass range and sensitivity on a variety of model molecules spanning nearly 3 orders of magnitude in absolute mass and present examples where the high resolution of the FT-ICR is advantageous for deconvoluting overlapping SID fragments.

Integrated Use of Biochemical, Native Mass Spectrometry, Computational, and Genome-Editing Methods to Elucidate the Mechanism of a Salmonella deglycase

Salmonellais a foodborne pathogen that causes annually millions of cases of salmonellosis globally, yet Salmonella-specific antibacterials are not available. During inflammation, Salmonella utilizes the Amadori compound fructose-asparagine (F-Asn) as a nutrient through the successive action of three enzymes, including the terminal FraB deglycase. Salmonella mutants lacking FraB are highly attenuated in mouse models of inflammation due to the toxic build-up of the substrate 6-phosphofructose-aspartate (6-P-F-Asp). This toxicity makes Salmonella FraB an appealing drug target, but there is currently little experimental information about its catalytic mechanism. Therefore, we sought to test our postulated mechanism for the FraB-catalyzed deglycation of 6-P-F-Asp (via an enaminol intermediate) to glucose-6-phosphate and aspartate. A FraB homodimer model generated by RosettaCM was used to build substrate-docked structures that, coupled with sequence alignment of FraB homologs, helped map a putative active site. Five candidate active-site residues-including three expected to participate in substrate binding-were mutated individually and characterized. Native mass spectrometry and ion mobility were used to assess collision cross sections and confirm that the quaternary structure of the mutants mirrored the wild type, and that there are two active sites/homodimer. Our biochemical studies revealed that FraB Glu214Ala, Glu214Asp, and His230Ala were inactive in vitro, consistent with deprotonated-Glu214 and protonated-His230 serving as a general base and a general acid, respectively. Glu214Ala or His230Ala introduced into the Salmonella chromosome by CRISPR/Cas9-mediated genome editing abolished growth on F-Asn. Results from our computational and experimental approaches shed light on the catalytic mechanism of Salmonella FraB and of phosphosugar deglycases in general.

Predicting Protein Complex Structure from Surface-Induced Dissociation Mass Spectrometry Data

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.

Charging and supercharging of proteins for mass spectrometry: recent insights into the mechanisms of electrospray ionization

Molecular dynamics simulations have uncovered mechanistic details of the protein ESI process under various experimental conditions.