Native Protein Complexes Research Articles

Complex-centric proteome profiling by SEC-SWATH-MS for the parallel detection of hundreds of protein complexes.

Most catalytic, structural and regulatory functions of the cell are carried out by functional modules, typically complexes containing or consisting of proteins. The composition and abundance of these complexes and the quantitative distribution of specific proteins across different modules are therefore of major significance in basic and translational biology. However, detection and quantification of protein complexes on a proteome-wide scale is technically challenging. We have recently extended the targeted proteomics rationale to the level of native protein complex analysis (complex-centric proteome profiling). The complex-centric workflow described herein consists of size exclusion chromatography (SEC) to fractionate native protein complexes, data-independent acquisition mass spectrometry to precisely quantify the proteins in each SEC fraction based on a set of proteotypic peptides and targeted, complex-centric analysis where prior information from generic protein interaction maps is used to detect and quantify protein complexes with high selectivity and statistical error control via the computational framework CCprofiler (https://github.com/CCprofiler/CCprofiler). Complex-centric proteome profiling captures most proteins in complex-assembled state and reveals their organization into hundreds of complexes and complex variants observable in a given cellular state. The protocol is applicable to cultured cells and can potentially also be adapted to primary tissue and does not require any genetic engineering of the respective sample sources. At present, it requires ~8 d of wet-laboratory work, 15 d of mass spectrometry measurement time and 7 d of computational analysis.

Deconstructing sarcomeric structure\u2013function relations in titin-BioID knock-in mice

Proximity proteomics has greatly advanced the analysis of native protein complexes and subcellular structures in culture, but has not been amenable to study development and disease in vivo. Here, we have generated a knock-in mouse with the biotin ligase (BioID) inserted at titin’s Z-disc region to identify protein networks that connect the sarcomere to signal transduction and metabolism. Our census of the sarcomeric proteome from neonatal to adult heart and quadriceps reveals how perinatal signaling, protein homeostasis and the shift to adult energy metabolism shape the properties of striated muscle cells. Mapping biotinylation sites to sarcomere structures refines our understanding of myofilament dynamics and supports the hypothesis that myosin filaments penetrate Z-discs to dampen contraction. Extending this proof of concept study to BioID fusion proteins generated with Crispr/CAS9 in animal models recapitulating human pathology will facilitate the future analysis of molecular machines and signaling hubs in physiological, pharmacological, and disease context.

Structural variations in human ACE2 may influence its binding with SARS-CoV-2 spike protein.

The recent pandemic of COVID‐19, caused by SARS‐CoV‐2, is unarguably the most fearsome compared with the earlier outbreaks caused by other coronaviruses, SARS‐CoV and MERS‐CoV. Human ACE2 is now established as a receptor for the SARS‐CoV‐2 spike protein. Where variations in the viral spike protein, in turn, lead to the cross‐species transmission of the virus, genetic variations in the host receptor ACE2 may also contribute to the susceptibility and/or resistance against the viral infection. This study aims to explore the binding of the proteins encoded by different human ACE2 allelic variants with SARS‐CoV‐2 spike protein. Briefly, coding variants of ACE2 corresponding to the reported binding sites for its attachment with coronavirus spike protein were selected and molecular models of these variants were constructed by homology modeling. The models were then superimposed over the native ACE2 and ACE2‐spike protein complex, to observe structural changes in the ACE2 variants and their intermolecular interactions with SARS‐CoV‐2 spike protein, respectively. Despite strong overall structural similarities, the spatial orientation of the key interacting residues varies in the ACE2 variants compared with the wild‐type molecule. Most ACE2 variants showed a similar binding affinity for SARS‐CoV‐2 spike protein as observed in the complex structure of wild‐type ACE2 and SARS‐CoV‐2 spike protein. However, ACE2 alleles, rs73635825 (S19P) and rs143936283 (E329G) showed noticeable variations in their intermolecular interactions with the viral spike protein. In summary, our data provide a structural basis of potential resistance against SARS‐CoV‐2 infection driven by ACE2 allelic variants.

SRSF3 and hnRNP K Antagonistically Regulate Splicing of Large Exons

Mammalian internal exons are usually between 50 and 200 bp long. Their average length is ~150 bp, and only 5% of them are larger than 300 bp. Although previous studies showed that splice site recognition becomes less efficient with increasing exon size, the mechanism how large exons are correctly spliced is not well understood. To investigate the role of RNA binding proteins (RBPs) in the splicing of large exons, we analyzed 842 publicly available RNA‐seq datasets from GEO, in which 48 canonical splicing factors were individually knocked down. MISO analysis was performed to detect exons that were specifically included or excluded by knockdown of an RBP, and average lengths of these exons were calculated. Our analysis revealed that SRSF3 is the top RBP that promotes inclusion of the largest exon set (390 exons per analysis, 337 bp on average).Interestingly, most of the SRSF3‐dependent large exons are annotated as constitutive exons in the public database. Consistently, these exons have high splice site strengths. Motif analysis revealed that the SRSF3‐dependent large exons are greatly enriched with C‐rich sequences, which are preferentially recognized by SRSF3. In addition, our analysis also detected the enrichment of C‐stretches, which are potential binding sites for hnRNP K. ENCODE eCLIP shows that HNRNPK extensively binds to the SRSF3‐dependent large exons. To examine whether hnRNP K is involved in the regulation of SRSF3‐dependent splicing of large exons, we knocked down Hnrnpk along with Srsf3‐knockdown using C2C12 myoblasts. RNA‐seq analysis revealed that Srsf3‐silencing alone induced skipping of 374 exons, of which average length is 395 bp. Co‐silencing of Srsf3 and Hnrnpk rescued skipping of 142 exons by Srsf3‐silencing, of which average length is still long, 458 bp. These results indicate that substantial number of large exons require SRSF3 to prevent their skipping by hnRNP K.To investigate the molecules associated with SRSF3 and hnRNP K in the splicing of large exons, we next conducted proteomic approach that defines the native protein complexes in the chromatin fraction. Cells expressing FLAG tagged SRSF3 or hnRNP K were lysed under the physiological salt concentration, and isolated chromatin fractions were immunoprecipitated with At‐FLAG antibody. Mass spectrometry analysis of the immunoprecipitants revealed that SRSF3 is mainly associated with U1 snRNPs, U2AFs, and SF1, and to a lesser extent with hnRNPs, while hnRNP K is preferentially associated with hnRNPs and U1 snRNPs, but not with U2AF or SF1. Thus, SRSF3 and hnRNP K are involved in early but distinct stages of spliceosome assembly. Together, our analysis identified the antagonistic splicing regulation of SRSF3 and HNRNPK on C‐rich large exons.

A signaling hub of insulin receptor, dystrophin glycoprotein complex and plakoglobin regulates muscle size

Signaling through the insulin receptor governs central physiological functions related to cell growth and metabolism. Here we show by tandem native protein complex purification approach and super-resolution STED microscopy that insulin receptor activity requires association with the fundamental structural module in muscle, the dystrophin glycoprotein complex (DGC), and the desmosomal component plakoglobin (γ-catenin). The integrity of this high-molecular-mass assembly renders skeletal muscle susceptibility to insulin, because DGC-insulin receptor dissociation by plakoglobin downregulation reduces insulin signaling and causes atrophy. Furthermore, low insulin receptor activity in muscles from transgenic or fasted mice decreases plakoglobin-DGC-insulin receptor content on the plasma membrane, but not when plakoglobin is overexpressed. By masking β-dystroglycan LIR domains, plakoglobin prevents autophagic clearance of plakoglobin-DGC-insulin receptor co-assemblies and maintains their function. Our findings establish DGC as a signaling hub, and provide a possible mechanism for the insulin resistance in Duchenne Muscular Dystrophy, and for the cardiomyopathies seen with plakoglobin mutations.

Individual Ion Mass Spectrometry Enhances the Sensitivity and Sequence Coverage of Top-Down Mass Spectrometry.

Charge detection mass spectrometry (CDMS) is mainly utilized to determine the mass of intact molecules. Previous applications of CDMS have determined the mass-to-charge ratio and the charge of large polymers, DNA molecules, and native protein complexes, from which corresponding mass values could be assigned. Recent advances have demonstrated that CDMS using an Orbitrap mass analyzer yields the reliable assignment of integer charge states that enables individual ion mass spectrometry (I2MS) and spectral output directly into the mass domain. Here I2MS analysis was extended to isotopically resolved fragment ions from intact proteoforms for the first time. With a radically different bias for ion readout, I2MS identified low-abundance fragment ions containing many hundreds of residues that were undetectable by standard Orbitrap measurements, leading to a doubling in the sequence coverage of triosephosphate isomerase. Thus MS/MS with the detection of individual ions (MS/I2MS) provides a far greater ability to detect high mass fragment ions and exhibits strong complementarity to traditional spectral readout in this, its first application to top-down mass spectrometry.

Top-Down Characterization of Denatured Proteins and Native Protein Complexes Using Electron Capture Dissociation Implemented within a Modified Ion Mobility-Mass Spectrometer.

Electron-based fragmentation methods have revolutionized biomolecular mass spectrometry, in particular native and top-down protein analysis. Here, we report the use of a new electromagnetostatic cell to perform electron capture dissociation (ECD) within a quadrupole/ion mobility/time-of-flight mass spectrometer. This cell was installed between the ion mobility and time-of-flight regions of the instrument, and fragmentation was fast enough to be compatible with mobility separation. The instrument was already fitted with electron transfer dissociation (ETD) between the quadrupole and mobility regions prior to modification. We show excellent fragmentation efficiency for denatured peptides and proteins without the need to trap ions in the gas phase. Additionally, we demonstrate native top-down backbone fragmentation of noncovalent protein complexes, leading to comparable sequence coverage to what was achieved using the instrument's existing ETD capabilities. Limited collisional ion activation of the hemoglobin tetramer before ECD was reflected in the observed fragmentation pattern, and complementary ion mobility measurements prior to ECD provided orthogonal evidence of monomer unfolding within this complex. The approach demonstrated here provides a powerful platform for both top-down proteomics and mass spectrometry-based structural biology studies.

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.

Polyethylene Glycol Acts as a Mechanistic Stabilizer of L-asparaginase: A Computational Probing.

L-asparaginase (L-ASN) is an anti-cancer enzyme therapeutic drug that exerts cytotoxicity via inhibition of protein synthesis through depletion of L-asparagine in the tumor microenvironment. The therapeutic performance of the native drug is partial due to the associated instability, reduced half-life and immunogenic complications. In this study, we attempted the modification of recombinant L-asparaginase with PEG and an integrated computational strategy to probe the PEGylation in the protein to understand the biological stability/activity imparted by PEG. In vitro PEGylation of recombinant L-ASN was carried out and further evaluated in silico. PEGylation enhanced thermal and pH activities with extended serum half-life and resistance to proteases compared to the native enzyme. The molecular dynamics analysis revealed intricate interactions required in the coupling of PEG to L-asparaginase to bestow stronger binding affinity of L-asparagine moiety towards L-asparaginase. PEG-asparagine complex ensured stable conformation over both the native protein and asparagine-protein complex thus elucidating the PEG-induced stable conformation in the protein. PEG mechanistically stabilized L-asparaginase through inducing pocket modification at the receptor to adapt to the cavity. The study provides the rationale of PEGylation in imparting the stability towards Lasparaginase which would expand the potential application of L-asparaginase enzyme for the effective treatment of cancer.

Protein Complex Identification and quantitative complexome by CN-PAGE

The majority of cellular processes are carried out by protein complexes. Various size fractionation methods have previously been combined with mass spectrometry to identify protein complexes. However, most of these approaches lack the quantitative information which is required to understand how changes of protein complex abundance and composition affect metabolic fluxes. In this paper we present a proof of concept approach to quantitatively study the complexome in the model plant Arabidopsis thaliana at the end of the day (ED) and the end of the night (EN). We show that size-fractionation of native protein complexes by Clear-Native-PAGE (CN-PAGE), coupled with mass spectrometry can be used to establish abundance profiles along the molecular weight gradient. Furthermore, by deconvoluting complex protein abundance profiles, we were able to drastically improve the clustering of protein profiles. To identify putative interaction partners, and ultimately protein complexes, our approach calculates the Euclidian distance between protein profile pairs. Acceptable threshold values are based on a cut-off that is optimized by a receiver-operator characteristic (ROC) curve analysis. Our approach shows low technical variation and can easily be adapted to study in the complexome in any biological system.

Native supramolecular protein complexes in pulmonary surfactant: Evidences for SP-A/SP-B interactions

Pulmonary surfactant is a lipid-protein complex which coats lung alveoli. It displays the essential function of reducing surface tension at the air-liquid interface, avoiding alveolar collapse during expiration. The optimized biophysical properties of surfactant rely on its defined composition, constituted mainly by phospholipids and tiny amounts of lipid-associated specific proteins. Due to the highly hydrophobic nature of surfactant, organic solvents have been traditionally employed to obtain and characterize surfactant lipids and proteins, very likely leading to disruption of native interactions among its components. In the present work we have addressed the search of native protein complexes in pulmonary surfactant, which could have an essential role in the optimal function of the system. By solubilizing native lipid-protein membranes of surfactant with non-denaturing detergents, and with the use of a two-dimensional electrophoresis strategy, we have been able to detect the presence of supramolecular complexes composed of surfactant proteins SP-A, SP-B and SP-C. Furthermore, by co-immunoprecipitation assays, we have confirmed for the first time the existence of a direct interaction between SP-A and SP-B, an important feature which could explain the known functional cooperation of both proteins in several aspects of surfactant biology. SignificanceThis paper deepens for the first time in the existence of complex interaction networks of surfactant proteins in native surfactant membranes. By the use of non-denaturing detergents, two-dimensional electrophoresis and immunoprecipitation, we have been able to make progress in the elucidation of native protein complexes in this essential system, that had been previously hindered by the classical purification protocols employing organic solvents. In this work, we have described the presence of interactions between SP-B and SP-A, two important proteins whose functional cooperation has been broadly reported in the literature. Pioneer determination of such native complexes could have potential implications for understanding the wide variety of roles of pulmonary surfactant system.

Parallel cascade selection molecular dynamics to screen for protein complexes generated by rigid docking

We propose a flexible docking simulation based on parallel cascade selection molecular dynamics (PaCS-MD) as a post-processing treatment after a rigid docking simulation. PaCS-MD has been proposed as an enhanced sampling method for generating structural transition pathways from a given reactant to a product. The PaCS-MD cycle consists of the following two steps: (1) selections of important initial structures and (2) their conformational resampling from the selected initial structures. By repeating the conformational resampling from the important initial structures, structural transitions from the reactant to the product are gradually promoted. In the present flexible docking simulation, decoys (protein complexes) are generated by the rigid docking simulation a priori and employed as products of PaCS-MD. Then PaCS-MD is applied to reproduce association processes to the decoys from a reactant (completely separated proteins). To judge whether PaCS-MD found the association processes or not, the root-mean-square deviation measured from decoy (RMSDdecoy) was defined and monitored during the PaCS-MD cycles. By checking the RMSDdecoy values, a set of decoys is screened as a non-near native protein complex. In more detail, PaCS-MD detects near native protein complexes from the generated decoys by imposing a threshold (cutoff) for RMSDdecoy, i.e. RMSDdecoy < cutoff. As a demonstration, the present flexible docking addressed dimerization processes of K48-linked ubiquitin dimer without a covalent bond between its monomers. Finally, PaCS-MD screened out non-near native protein complexes from decoys generated by a rigid docking simulation.

Lesson from a Fab-enabled co-crystallization study of TDRD2 and PIWIL1.

The interaction of Tudor domain-containing proteins (TDRDs) with P-element-induced wimpy testis (PIWI) proteins plays critical roles in transposon silencing and spermatogenesis. Most human TDRDs recognize PIWI proteins in a methylarginine-dependent manner via their extended Tudor (eTudor) domains, except TDRD2, which prefers an unmethylated PIWI protein. In order to illustrate the recognition of unmethylated PIWI proteins by TDRD2, we extensively tried co-crystallization of the TDRD2 eTudor with different PIWIL1 peptides, but to no avail. Recombinant antigen-binding fragments (Fabs) have been used to crystallize some difficult proteins in the past, so we generated Fab against the TDRD2 eTudor protein using a phage-display antibody library, and one of these Fab fragments indeed facilitated the co-crystallization of TDRD2 and PIWIL1. Structural analysis of Fab, the TDRD2 eTudor domain in complex with an unmethylated PIWIL1-derived peptide revealed that the PIWIL1 residues G3 through R8 bound between the Tudor core and SN domain of TDRD2. The C-terminal residues of the PIWIL1 peptide were not resolved, presumably due to steric competition with the heavy chain of the Fab. We propose Fab-assisted crystallization as a tool not only for structural studies of single proteins, but also for analysis of interactions between proteins and their ligands in cases where co-crystallization of native protein complexes fails.

Optimized Cross-Linking Mass Spectrometry for in Situ Interaction Proteomics.

Recent development of mass spectrometer cleavable protein cross-linkers and algorithms for their spectral identification now permits large-scale cross-linking mass spectrometry (XL-MS). Here, we optimized the use of cleavable disuccinimidyl sulfoxide (DSSO) cross-linker for labeling native protein complexes in live human cells. We applied a generalized linear mixture model to calibrate cross-link peptide-spectra matching (CSM) scores to control the sensitivity and specificity of large-scale XL-MS. Using specific CSM score thresholds to control the false discovery rate, we found that higher-energy collisional dissociation (HCD) and electron transfer dissociation (ETD) can both be effective for large-scale XL-MS protein interaction mapping. We found that the coverage of protein-protein interaction maps is significantly improved through the use of multiple proteases. In addition, the use of focused sample-specific search databases can be used to improve the specificity of cross-linked peptide spectral matching. Application of this approach to human chromatin labeled in live cells recapitulated known and revealed new protein interactions of nucleosomes and other chromatin-associated complexes in situ. This optimized approach for mapping native protein interactions should be useful for a wide range of biological problems.

Cryo-EM-On-a-Chip: Custom-Designed Substrates for the 3D Analysis of Macromolecules.

The fight against human disease requires a multidisciplinary scientific approach. Applying tools from seemingly unrelated areas, such as materials science and molecular biology, researchers can overcome long-standing challenges to improve knowledge of molecular pathologies. Here, custom-designed substrates composed of silicon nitride (SiN) are used to study the 3D attributes of tumor suppressor proteins that function in DNA repair events. New on-chip preparation strategies enable the isolation of native protein complexes from human cancer cells. Combined techniques of cryo-electron microscopy (EM) and molecular modeling reveal a new modified form of the p53 tumor suppressor present in aggressive glioblastoma multiforme cancer cells. Taken together, the findings provide a radical new design for cryo-EM substrates to evaluate the structures of disease-related macromolecules.

Elucidating the role of interacting residues of the MSH2-MSH6 complex in DNA repair mechanism: A computational approach.

The DNA repair system is crucial to repair the error resulting in DNA replication. MSH2-MSH6 protein complex plays a significant role in maintaining the mismatch repair mechanism. Mutations in the interface between the two proteins compromise their function in the repair process. The present study aims to understand the impact of missense mutations in the interacting sites of the MSH2-MSH6 protein complex. MSH6 is unstable due to the disordered N-terminal domain. This is stabilized by the MSH2 hetero-dimerization. We used pathogenicity and stability predictors to identify the missense mutations that could be more pathogenic with the destabilizing property. The mutations W764C of MSH2, and L1201F and G1316E of MSH6 were predicted to be highly deleterious and destabilizing by all the in silico predictors. The dynamic motion of the native and mutant (W764C) MSH2-MSH6 protein complexes was further investigated using Molecular Dynamics Simulations of the GROMACS package. The Root Mean Square Deviation (RMSD), Radius of Gyration (Rg), and change in a number of intramolecular hydrogen bonds (H-bonds) were analyzed using the embedded packages of GROMACS. From the simulation studies, we observed higher deviation, lower protein compactness, and a decrease in the number of intramolecular hydrogen bonds in the mutant W764C MSH2-MSH6 protein complex. The observed results from the computational methods suggest the involvement of higher structural impact on the MSH2-MSH6 protein complex upon W764C mutation could affect the DNA repair mechanism.

Protein-Protein Interaction Profiling in Candida albicans Revealed by Biochemical Purification-Mass Spectrometry (BP/MS).

BP/MS is a new experimental proteomic platform for systematic study of native protein complexes and global protein-protein interaction networks based on deep biochemical purification of soluble protein extracts and mass spectrometry identification of coeluting proteins. Herein, we describe the application of this methodology to draft a high-confidence protein interaction network for Candida albicans.

Complex‐centric proteome profiling by SEC‐SWATH‐MS

Proteins are major effectors and regulators of biological processes that can elicit multiple functions depending on their interaction with other proteins. The organization of proteins into macromolecular complexes and their quantitative distribution across these complexes is, therefore, of great biological and clinical significance. In this paper, we describe an integrated experimental and computational technique to quantify hundreds of protein complexes in a single operation. The method consists of size exclusion chromatography (SEC) to fractionate native protein complexes, SWATH/DIA mass spectrometry to precisely quantify the proteins in each SEC fraction, and the computational framework CCprofiler to detect and quantify protein complexes by error‐controlled, complex‐centric analysis using prior information from generic protein interaction maps. Our analysis of the HEK293 cell line proteome delineates 462 complexes composed of 2,127 protein subunits. The technique identifies novel sub‐complexes and assembly intermediates of central regulatory complexes while assessing the quantitative subunit distribution across them. We make the toolset CCprofiler freely accessible and provide a web platform, SECexplorer, for custom exploration of the HEK293 proteome modularity.

Surface-Induced Dissociation: An Effective Method for Characterization of Protein Quaternary Structure.

Many mass spectrometry applications make use of tandem mass spectrometry, where two stages of m/z analysis are coupled. In between the two stages of m/z analysis, an activation or reaction step is carried out to cause either structurally-informative fragmentation or structurally-characteristic reaction of the precursor ion of interest. This review focuses on the use of collisions with a surface (surface-induced dissociation, SID) as the activation method in tandem mass spectrometry, with an emphasis on SID papers published over the past four years. SID is described and compared with other activation methods. The major application focused on in this review is the structural characterization of native protein complexes, complexes kinetically trapped that retain native-like solution structures upon transfer to the gas-phase and throughout the relatively short timeframe of the mass spectrometry experiment. Other SID applications currently under investigation are also briefly described. Pioneering work on SID ...