Covalent labeling with isotopically encoded reagents for faster structural analysis of proteins by mass spectrometry

Protein painting for structural and binding site analysis via intracellular lysine reactivity profiling with o-phthalaldehyde

The three-dimensional structure and the molecular interaction of proteins determine their roles in many cellular processes. Chemical protein painting with protein mass spectrometry can identify changes in structural conformations and molecular interactions of proteins including their binding sites. Nevertheless, most current protein painting techniques identify protein targets and binding sites of drugs in vitro using a cell lysate or purified protein. Here, we tested 11 membrane-permeable lysine-reactive chemical probes for intracellular covalent labeling of endogenous proteins, which reveals ortho-phthalaldehyde (OPA) as the most reactive probe in the intracellular environment. An MS workflow and a new data analysis strategy termed RAPID (Reactive Amino acid Profiling by Inverse Detection) was developed to enhance detection sensitivity. RAPID with OPA successfully identified structural changes induced by the allosteric drug TEPP-46 on its target protein PKM2 and was applied to profile the conformation change of the proteome occurring in cells during thermal denaturation. The application of RAPID-OPA on cells treated with geldanamycin, selumetinib, and staurosporine successfully revealed their binding sites on target proteins. Thus, RAPID-OPA for cellular protein painting enables the identification of ligand-binding sites and detection of protein structural changes occurring in cells.

Structural characterization of protein-material interfacial interactions using lysine reactivity profiling-mass spectrometry

Understanding how proteins and materials interact is useful for evaluating the safety of biomedical micro/nanomaterials, toxicity estimation and design of nano-drugs and catalytic activity improvement of bio-inorganic functional hybrids. However, characterizing the interfacial molecular details of protein-micro/nanomaterial hybrids remains a great challenge. This protocol describes the lysine reactivity profiling-mass spectrometry strategy for determining which parts of a protein are interacting with the micro/nanomaterials. Lysine residues occur frequently on hydrophilic protein surfaces, and their reactivity is dependent on the accessibility of their amine groups. The accessibility of a lysine residue is lower when it is in contact with another object; allosteric effects resulting from this interaction might reduce or increase the reactivity of remote lysine residues. Lysine reactivity is therefore a useful indicator of protein localization orientation, interaction sequence regions, binding sites and modulated protein structures in the protein-material hybrids. We describe the optimized two-step isotope dimethyl labeling strategy for protein-material hybrids under their native and denaturing conditions in sequence. The comparative quantification results of lysine reactivity are only dependent on the native microenvironments of lysine local structures. We also highlight other critical steps including protein digestion, elution from materials, data processing and interfacial structure analysis. The two-step isotope labeling steps need ~5 h, and the whole protocol including digestion, liquid chromatography-tandem mass spectrometry, data processing and structure analysis needs ~3-5 d.

Quantitative structural proteomics in living cells by covalent protein painting

The fold and conformation of proteins are key to successful cellular function, but all techniques for protein structure determination are performed in an artificial environment with highly purified proteins. While protein conformations have been solved to atomic resolution and modern protein structure prediction tools rapidly generate near accurate models of proteins, there is an unmet need to uncover the conformations of proteins in living cells. Here, we describe Covalent Protein Painting (CPP), a simple and fast method to infer structural information on protein conformation in cells with a quantitative protein footprinting technology. CPP monitors the conformational landscape of the 3D proteome in cells with high sensitivity and throughput. A key advantage of CPP is its' ability to quantitatively compare the 3D proteomes between different experimental conditions and to discover significant changes in the protein conformations. We detail how to perform a successful CPP experiment, the factors to consider before performing the experiment, and how to interpret the results.

Cancer Conformational Landscape Shapes Tumorigenesis

During tumorigenesis, DNA mutations in protein coding sequences can alter amino acid sequences which can change the structures of proteins. While the 3D structure of mutated proteins has been studied with atomic resolution, the precise impact of somatic mutations on the 3D proteome during malignant transformation remains unknown because methods to reveal in vivo protein structures in high throughput are limited. Here, we measured the accessibility of the lysine ε-amine for chemical modification across proteomes using covalent protein painting (CPP) to indirectly determine alterations in the 3D proteome. CPP is a novel, high-throughput quantitative mass spectrometric method that surveyed a total of 8052 lysine sites across the 60 cell lines of the well-studied anticancer cell line panel (NCI60). Overall, 5.2 structural alterations differentiated any cancer cell line from the other 59. Structural aberrations in 98 effector proteins correlated with the selected presence of 90 commonly mutated proteins in the NCI60 cell line panel, suggesting that different tumor genotypes reshape a limited set of effector proteins. We searched our dataset for druggable conformational aberrations and identified 49 changes in the cancer conformational landscape that correlated with the growth inhibition profiles of 300 drug candidates out of 50,000 small molecules. We found that alterations in heat shock proteins are key predictors of anticancer drug efficacy, which implies that the proteostasis network may have a general but hitherto unrecognized role in maintaining malignancy. Individual lysine sites may serve as biomarkers to guide drug selection or may be directly targeted for anticancer drug development.

Protein Footprinting via Covalent Protein Painting Reveals Structural Changes of the Proteome in Alzheimer's Disease

Misfolding and aggregation of amyloid-β peptide and hyperphosphorylated tau are molecular markers of Alzheimer's disease (AD), and although the 3D structures of these aberrantly folded proteins have been visualized in exquisite detail, no method has been able to survey protein folding across the proteome in AD. Here, we present covalent protein painting (CPP), a mass spectrometry-based protein footprinting approach to quantify the accessibility of lysine ε-amines for covalent modification at the surface of natively folded proteins. We used CPP to survey the reactivity of 2645 lysine residues and therewith the structural proteome of HEK293T cells and found that reactivity increased upon mild heat shock. CPP revealed that the accessibility of lysine residues for covalent modification in tubulin-β (TUBB), in succinate dehydrogenase (SHDB), and in amyloid-β peptide (Aβ) is altered in human postmortem brain samples of patients with neurodegenerative diseases. The structural alterations of TUBB and SHDB in patients with AD, dementia with Lewy bodies (DLB), or both point to broader perturbations of the 3D proteome beyond Aβ and hyperphosphorylated tau.

Global Profiling of Lysine Accessibility to Evaluate Protein Structure Changes in Alzheimer's Disease

The linear sequence of amino acids in a protein folds into a 3D structure to execute protein activity and function, but it is still challenging to profile the 3D structure at the proteome scale. Here, we present a method of native protein tandem mass tag (TMT) profiling of Lys accessibility and its application to investigate structural alterations in human brain specimens of Alzheimer's disease (AD). In this method, proteins are extracted under a native condition, labeled by TMT reagents, followed by trypsin digestion and peptide analysis using two-dimensional liquid chromatography and tandem mass spectrometry (LC/LC-MS/MS). The method quantifies Lys labeling efficiency to evaluate its accessibility on the protein surface, which may be affected by protein conformations, protein modifications, and/or other molecular interactions. We systematically optimized the amount of TMT reagents, reaction time, and temperature and then analyzed protein samples under multiple conditions, including different labeling time (5 and 30 min), heat treatment, AD and normal human cases. The experiment profiled 15370 TMT-labeled peptides in 4475 proteins. As expected, the heat treatment led to extensive changes in protein conformations, with 17% of the detected proteome displaying differential labeling. Compared to the normal controls, AD brain showed different Lys accessibility of tau and RNA splicing complexes, which are the hallmarks of AD pathology, as well as proteins involved in transcription, mitochondrial, and synaptic functions. To eliminate the possibility that the observed differential Lys labeling was caused by protein level change, the whole proteome was quantified with standard TMT-LC/LC-MS/MS for normalization. Thus, this native protein TMT method enables the proteome-wide measurement of Lys accessibility, representing a straightforward strategy to explore protein structure in any biological system.

Crosslinking mass spectrometry: A link between structural biology and systems biology

Protein structure underpins functional roles in all biological processes; therefore, improved understanding of protein structures is of fundamental importance in nearly all biological and biomedical research areas. Traditional techniques such as X-ray crystallography and more recently, cryo-EM, can reveal structural features on isolated proteins/protein complexes at atomic resolution level and have become indispensable tools for structural biology. Crosslinking mass spectrometry (XL-MS), on the other hand, is an emerging technique capable of capturing transient and dynamic information on protein interactions and assemblies in their native environment. The combination of XL-MS with traditional techniques holds potential for bridging the gap between structural biology and systems biology approaches. Such a combination will enable visualization of protein structures and interactions within the crowded macromolecular environment in living systems that can dramatically increase understanding of biological functions. In this review, we first discuss general strategies of XL-MS and then survey recent examples to show how qualitative and quantitative XL-MS studies can be integrated with available protein structural data to better understand biological function at systems level.

Mass spectrometric approaches for profiling protein folding and stability

Protein stability reports on protein homeostasis, function, and binding interactions, such as to other proteins, metabolites and drugs. As such, there is a pressing need for technologies that can report on protein stability. The ideal technique could be applied in vitro or in vivo systems, proteome-wide, independently of matrix, under native conditions, with residue-level resolution, and on protein at endogenous levels. Mass spectrometry has rapidly become a preferred technology for identifying and quantifying proteins. As such, it has been increasingly incorporated into methodologies for interrogating protein stability and folding. Although no single technology can satisfy all desired applications, several emerging approaches have shown outstanding success at providing biological insight into the stability of the proteome. This chapter outlines some of these recent emerging technologies.

Dimethyl Labeling Coupled with Mass Spectrometry for Topographical Characterization of Primary Amines on Monoclonal Antibodies

Site-specific solvent accessibility of the primary amines (mainly lysine or the N-termini) on proteins is of great interest in many research areas because amines are an important functional group for protein conjugation. In this study, we coupled dimethyl labeling via reductive amination with liquid chromatography-mass spectrometry (LC-MS) to fully characterize the solvent accessibility of lysine residues and the N-termini on human immunoglobulin G (IgG). Circular dichroism (CD) and fluorescence spectroscopy revealed that dimethyl labeling did not alter the conformation of the native IgG molecule. Based on intact protein measurements, up to 28 (light chain) and 66 (heavy chain) dimethyl tags, covering all lysine residues and the N-termini, were sequentially incorporated into IgG molecules in 1000 s. All labeled sites were identified and quantified by a bottom-up proteomics approach. Some highly exposed hot-spots (for example, the N-termini of both the heavy and the light chains) and some buried sites (for example, K415 in the heavy chain and K39 in the light chain) were unambiguously revealed. This method was also used to characterize aggregation-induced structural changes in IgGs by increasing the temperature. Substantial changes in the labeling percentage of many lysine sites were observed, indicating a non-native aggregation triggered by thermal stress. Due to high labeling yields and the van der Waals surface of the labeling reagents being comparable to that of water, dimethyl labeling is a highly promising technique for probing the amine's surface topography of proteins. It can also be used as a complementary approach to other methods for resolving the higher-order structure of proteins by LC-MS.

High Sensitivity Crosslink Detection Coupled With Integrative Structure Modeling in the Mass Spec Studio

The Mass Spec Studio package was designed to support the extraction of hydrogen-deuterium exchange and covalent labeling data for a range of mass spectrometry (MS)-based workflows, to integrate with restraint-driven protein modeling activities. In this report, we present an extension of the underlying Studio framework and provide a plug-in for crosslink (XL) detection. To accommodate flexibility in XL methods and applications, while maintaining efficient data processing, the plug-in employs a peptide library reduction strategy via a presearch of the tandem-MS data. We demonstrate that prescoring linear unmodified peptide tags using a probabilistic approach substantially reduces search space by requiring both crosslinked peptides to generate sparse data attributable to their linear forms. The method demonstrates highly sensitive crosslink peptide identification with a low false positive rate. Integration with a Haddock plug-in provides a resource that can combine multiple sources of data for protein modeling activities. We generated a structural model of porcine transferrin bound to TbpB, a membrane-bound receptor essential for iron acquisition in Actinobacillus pleuropneumoniae Using mutational data and crosslinking restraints, we confirm the mechanism by which TbpB recognizes the iron-loaded form of transferrin, and note the requirement for disparate sources of restraint data for accurate model construction. The software plugin is freely available at www.msstudio.ca.

Covalent Labeling Denaturation Mass Spectrometry for Sensitive Localized Higher Order Structure Comparisons

Protein higher order structure (HOS) describes the three-dimensional folding arrangement of a given protein and plays critical roles in structure/function relationships. As such, it is a key product quality attribute that is monitored during biopharmaceutical development. Covalent labeling of surface residues, combined with mass spectrometry analysis, has increasingly played an important role in characterizing localized protein HOS. Since the label can potentially induce conformation changes, protocols generally use a small amount of label to ensure that the integrity of the protein HOS is not disturbed. The present study, however, describes a method that purposely uses high amounts of isobaric label (levels that induce denaturation) to enhance the sensitivity and resolution for detecting localized structural differences between two or more biological products. The method proved to be highly discriminative, detecting differences in HOS affecting as little as 2.5-5% of the molecular population, levels at which circular dichroism and nuclear magnetic resonance spectroscopy fingerprinting, both gold standard HOS techniques, were unable to adequately differentiate. The methodology was shown to have comparable sensitivity to differential scanning calorimetry for detecting HOS differences. In addition, the workflow presented herein can also quantify other product attributes such as post-translational modifications and site-specific glycosylation, using a single liquid chromatography-tandem mass spectrometry (LC-MS/MS) run with automated data analysis. We applied this technique to characterize a large (>90 kDa), multiply glycosylated therapeutic protein under different heat stress conditions and aggregation states.

Isotope-Encoded Carboxyl Group Footprinting for Mass Spectrometry-Based Protein Conformational Studies

We report an isotope-encoding method coupled with carboxyl-group footprinting to monitor protein conformational changes. The carboxyl groups of aspartic/glutamic acids and of the C-terminus of proteins can serve as reporters for protein conformational changes when labeled with glycine ethyl ester (GEE) mediated by carbodiimide. In the new development, isotope-encoded "heavy" and "light" GEE are used to label separately the two states of the orange carotenoid protein (OCP) from cyanobacteria. Two samples are mixed (1:1 ratio) and analyzed by a single LC-MS/MS experiment. The differences in labeling extent between the two states are represented by the ratio of the "heavy" and "light" peptides, providing information about protein conformational changes. Combining isotope-encoded MS quantitative analysis and carboxyl-group footprinting reduces the time of MS analysis and improves the sensitivity of GEE and other footprinting.

Isotope-Coded Labeling for Accelerated Protein Interaction Profiling Using MS

Protein interaction surface mapping using MS is widely applied but comparatively resource-intensive. Here, a workflow adaptation for use of isotope-coded tandem mass tags for the purpose is reported. The key benefit of improved throughput derived from sample acquisition multiplexing and automated analysis is shown to be maintained in the new application. Mapping of the epitopes of two monoclonal antibodies on their respective targets serves to illustrate the novel approach. We conclude that the approach enables mapping of interactions by MS at significantly larger scales than hereto possible.

A novel chemical footprinting approach identifies critical lysine residues involved in the binding of receptor-associated protein to cluster II of LDL receptor-related protein

Tandem mass tags (TMTs) were utilized in a novel chemical footprinting approach to identify lysine residues that mediate the interaction of receptor-associated protein (RAP) with cluster II of LDL (low-density lipoprotein) receptor (LDLR)-related protein (LRP). The isolated RAP D3 domain was modified with TMT-126 and the D3 domain-cluster II complex with TMT-127. Nano-LC-MS analysis revealed reduced modification with TMT-127 of peptides including Lys(256), Lys(270) and Lys(305)-Lys(306) suggesting that these residues contribute to cluster II binding. This agrees with previous findings that Lys(256) and Lys(270) are critical for binding cluster II sub-domains [Fisher, Beglova and Blacklow (2006) Mol. Cell 22, 277-283]. Cluster II-binding studies utilizing D3 domain variants K(256)A, K(305)A and K(306)A now showed that Lys(306) contributes to cluster II binding as well. For full-length RAP, we observed that peptides including Lys(60), Lys(191), Lys(256), Lys(270) and Lys(305)-Lys(306) exhibited reduced modification with TMT in the RAP-cluster II complex. Notably, Lys(60) has previously been implicated to mediate D1 domain interaction with cluster II. Our results suggest that also Lys(191) of the D2 domain contributes to cluster II binding. Binding studies employing the RAP variants K(191)A, K(256)A, K(305)A and K(306)A, however, revealed a modest reduction in cluster II binding for the K(256)A variant only. This suggests that the other lysine residues can compensate for the absence of a single lysine residue for effective complex assembly. Collectively, novel insight has been obtained into the contribution of lysine residues of RAP to cluster II binding. In addition, we propose that TMTs can be utilized to identify lysine residues critical for protein complex formation.

Lysine conjugation properties in human IgGs studied by integrating high-resolution native mass spectrometry and bottom-up proteomics

Antibody-drug conjugates (ADCs) are a novel class of biopharmaceuticals several of which are now being investigated in clinical studies. In ADCs, potent cytotoxic drugs are coupled via a linker to reactive residues in IgG monoclonal antibodies. Linkage to lysine residues in the IgGs, using N-hydroxysuccinimide ester based chemistry, is one of the possible options. To control drug load and specificity, proper knowledge is required about which lysine residues are most accessible and reactive. Here, we combine native MS and bottom-up proteomics to monitor the overall drug load and site-specific lysine reactivity, using N-hydroxysuccinimide-based tandem mass tags. High-resolution Orbitrap native MS enables us to monitor and quantify, due to the achieved baseline resolution, the sequential incorporation of up to 69 tandem mass tag molecules into human IgGs. Complementary, bottom-up proteomics facilitates the identification of some very reactive "hot-spot" conjugation sites. However, we also identify lysine residues that are highly resistant to chemical labeling. Our integrated approach gives insight into the conjugation properties of IgGs at both the intact protein and residue levels, providing fundamental information for controlling drug load and specificity in lysine-linked ADCs.

Effects of charge states, charge sites and side chain interactions on conformational preferences of a series of model peptide ions

The factors affecting conformational preference of gas phase peptide ions are investigated by IM-MS and molecular dynamics simulation.