Multi-protein Interactions Research Articles

Targeting Integrins for Cancer Therapy - Disappointments and Opportunities.

Integrins mediate adhesive interactions between cells and their environment, including neighboring cells and extracellular matrix (ECM). These heterodimeric transmembrane receptors bind extracellular ligands with their globular head domains and connect to the cytoskeleton through multi-protein interactions at their cytoplasmic tails. Integrin containing cell–matrix adhesions are dynamic force-responsive protein complexes that allow bidirectional mechanical coupling of cells with their environment. This allows cells to sense and modulate tissue mechanics and regulates intracellular signaling impacting on cell faith, survival, proliferation, and differentiation programs. Dysregulation of these functions has been extensively reported in cancer and associated with tumor growth, invasion, angiogenesis, metastasis, and therapy resistance. This central role in multiple hallmarks of cancer and their localization on the cell surface makes integrins attractive targets for cancer therapy. However, despite a wealth of highly encouraging preclinical data, targeting integrin adhesion complexes in clinical trials has thus far failed to meet expectations. Contributing factors to therapeutic failure are 1) variable integrin expression, 2) redundancy in integrin function, 3) distinct roles of integrins at various disease stages, and 4) sequestering of therapeutics by integrin-containing tumor-derived extracellular vesicles. Despite disappointing clinical results, new promising approaches are being investigated that highlight the potential of integrins as targets or prognostic biomarkers. Improvement of therapeutic delivery at the tumor site via integrin binding ligands is emerging as another successful approach that may enhance both efficacy and safety of conventional therapeutics. In this review we provide an overview of recent encouraging preclinical findings, we discuss the apparent disagreement between preclinical and clinical results, and we consider new opportunities to exploit the potential of integrin adhesion complexes as targets for cancer therapy.

Visualizing protein-protein interactions in plants by rapamycin-dependent delocalization.

Identifying protein-protein interactions (PPIs) is crucial for understanding biological processes. Many PPI tools are available, yet only some function within the context of a plant cell. Narrowing down even further, only a few tools allow complex multi-protein interactions to be visualized. Here, we present a conditional in vivo PPI tool for plant research that meets these criteria. Knocksideways in plants (KSP) is based on the ability of rapamycin to alter the localization of a bait protein and its interactors via the heterodimerization of FKBP and FRB domains. KSP is inherently free from many limitations of other PPI systems. This in vivo tool does not require spatial proximity of the bait and prey fluorophores and it is compatible with a broad range of fluorophores. KSP is also a conditional tool and therefore the visualization of the proteins in the absence of rapamycin acts as an internal control. We used KSP to confirm previously identified interactions in Nicotiana benthamiana leaf epidermal cells. Furthermore, the scripts that we generated allow the interactions to be quantified at high throughput. Finally, we demonstrate that KSP can easily be used to visualize complex multi-protein interactions. KSP is therefore a versatile tool with unique characteristics and applications that complements other plant PPI methods.

Transcriptome analysis of finger millet (Eleusine coracana (L.) Gaertn.) reveals unique drought responsive genes

Finger millet (Eleusine coracana (L.) Gaertn.), an important C4 species is known for its stress hardiness and nutritional significance. To identify novel drought responsive mechanisms, we generated transcriptome data from leaf tissue of finger millet, variety GPU-28, exposed to gravimetrically imposed drought stress so as to simulate field stress conditions. De novo assembly based approach yielded 80,777 and 90,830 transcripts from well-irrigated (control) and drought-stressed samples, respectively. A total of 1790 transcripts were differentially expressed between the control and drought-stress treatments. Functional annotation and pathway analysis indicated activation of diverse drought-stress signalling cascade genes such as serine threonine protein phosphatase 2A (PP2A), calcineurin B-like interacting protein kinase31 (CIPK31), farnesyl pyrophosphate synthase (FPS), signal recognition particle receptor α (SRPR α) etc. The basal regulatory genes such as TATA-binding protein (TBP)-associated factors (TAFs) werefound to be drought responsive, indicating that genes associated with housekeeping or basal regulatory processes are activated underdrought in finger millet. A significant portion of the expressed genes was uncharacterized, belonging to the category of proteins of unknown functions (PUFs). Among the differentially expressed PUFs, we attempted to assign putative function for a few, using anovel annotation tool, Proteins of Unknown Function Annotation Server. Analysis of PUFs led to the discovery of novel drought responsive genes such as pentatricopeptide repeat proteins and tetratricopeptide repeat proteins that serve as interaction modules in multiprotein interactions. The transcriptome data generated can be utilized for comparative analysis, and functional validation of the genes identified would be useful to understand the drought adaptive mechanisms operating under field conditions in finger millet, as has been already attempted for a few candidates such as CIPK31 and TAF6. Such an attempt is needed to enhance the productivity of finger millet under water-limited conditions, and/or to adopt the implicated mechanisms in other related crops.

Studying Multi-Protein Interactions by Fluorescence Detected Sedimentation Velocity Combining Hydrodynamic Separation of Complexes with Fluorescence Quenching Analysis

Studying Multi-Protein Interactions by Fluorescence Detected Sedimentation Velocity Combining Hydrodynamic Separation of Complexes with Fluorescence Quenching Analysis

The "Recognition Helix" of the Type II Acyl Carrier Protein (ACP) Utilizes a "Ubiquitin Interacting Motif (UIM)"-like Surface To Bind Its Partners.

Interaction interfaces comprise a finite number of sequence/structural motifs, which are often repeated in nature. Here we show how a helical motif present in the acyl carrier protein (ACP), involved in multiprotein interactions, displays a binding interface similar to that of the "ubiquitin interacting motif (UIM)". Analysis of the crystal structures of the ACP-enzyme complexes gave the first hint that helix II of the ACP ("universal recognition helix") utilizes UIM-like noncovalent interactions to associate with the type II fatty acid biosynthesis (FAS) pathway enzymes. The ACP interacting functional surface of the FAS enzymes comprises positively charged residues, flanking a central hydrophobic patch, akin to ubiquitin. Our nuclear magnetic resonance chemical shift perturbation studies, relaxation studies, and surface plasmon resonance measurements unequivocally show that helix II of ACP behaves like a UIM motif in its interactions with ubiquitin, by binding the Ile 44 functional surface of the latter. A synthetic peptide with the ACP helix II sequence showed equivalent binding to ubiquitin. The evolution of similar interaction motifs in the two systems has probably been driven by functional constraints, as both ACP and UIM participate in multiprotein interactions.

A novel model of THO/TREX loading onto target RNAs in metazoan gene expression.

The THO/TREX complex consists of several conserved subunits and is required for mRNA export. In metazoans, THO/TREX binds a subset of mRNAs during RNA splicing, and facilitates their nuclear export. How THO/TREX selects RNA targets is, however, incompletely understood. In our recent study, we reported that THO is loaded onto Piwi-interacting RNA (piRNA) precursor transcripts independent of splicing, and facilitates convergent transcription in Drosophila ovary. The precursors are later processed into mature piRNAs, small noncoding RNAs that silence transposable elements (TEs). We observed that piRNAs originating from dual-strand clusters, where precursors are transcribed from both strands, were specifically affected by THO mutation. Analysis of THO-bound RNAs showed enrichment of dual-strand cluster transcripts. Interestingly, THO loading onto piRNA precursors was dependent on Cutoff (Cuff), which comprises the Rhino-Deadlock-Cutoff (RDC) complex that is recruited to dual-strand clusters by recognizing H3K9me3 and licenses convergent transcription from he cluster. We also found that THO mutation affected transcription from dual-strand clusters. Therefore, we concluded that THO/TREX is recruited to dual-strand piRNA clusters, independent of splicing events, via multi-protein interactions with chromatin structure. Then, it facilitates transcription likely by suppressing premature termination to ensure adequate expression of piRNA precursors. [BMB Reports 2016; 49(7): 355-356]

Metal binding mediated conformational change of XPA protein:a potential cytotoxic mechanism of nickel in the nucleotide excision repair

Nucleotide excision repair (NER) is a pivotal life process for repairing DNA nucleotide mismatch caused by chemicals, metal ions, radiation, and other factors. As the initiation step of NER, the xeroderma pigmentosum complementation group A protein (XPA) recognizes damaged DNA molecules, and recruits the replication protein A (RPA), another important player in the NER process. The stability of the Zn(2+)-chelated Zn-finger domain of XPA center core portion (i.e., XPA98-210) is the foundation of its biological functionality, while the displacement of the Zn(2+) by toxic metal ions (such as Ni(2+), a known human carcinogen and allergen) may impair the effectiveness of NER and hence elevate the chance of carcinogenesis. In this study, we first calculated the force field parameters for the bonded model in the metal center of the XPA98-210 system, showing that the calculated results, including charges, bonds, angles etc., are congruent with previously reported results measured by spectrometry experiments and quantum chemistry computation. Then, comparative molecular dynamics simulations using these parameters revealed the changes in the conformation and motion mode of XPA98-210 Zn-finger after the substitution of Zn(2+) by Ni(2+). The results showed that Ni(2+) dramatically disrupted the relative positions of the four Cys residues in the Zn-finger structure, forcing them to collapse from a tetrahedron into an almost planar structure. Finally, we acquired the binding mode of XPA98-210 with its ligands RPA70N and DNA based on molecular docking and structural alignment. We found that XPA98-210's Zn-finger domain primarily binds to a V-shaped cleft in RPA70N, while the cationic band in its C-terminal subdomain participates in the recognition of damaged DNA. In addition, this article sheds light on the multi-component interaction pattern among XPA, DNA, and other NER-related proteins (i.e., RPA70N, RPA70A, RPA70B, RPA70C, RPA32, and RPA14) based on previously reported structural biology information. Thus, we derived a putative cytotoxic mechanism associated with the nickel ion, where the Ni(2+) disrupts the conformation of the XPA Zn-finger, directly weakening its interaction with RPA70N, and thus lowering the effectiveness of the NER process. In sum, this work not only provides a theoretical insight into the multi-protein interactions involved in the NER process and potential cytotoxic mechanism associated with Ni(2+) binding in XPA, but may also facilitate rational anti-cancer drug design based on the NER mechanism.

Electrochemical Detection and Distribution Analysis of β-Catenin for the Evaluation of Invasion and Metastasis in Hepatocellular Carcinoma.

Pro-metastatic cell signaling controls the switch to distant metastasis and the final cancer death. In hepatocellular carcinoma (HCC), this death switch is turned on by the multiprotein interactions of β-catenin with many transcription factors, so a method to assay the bioactivity of β-catenin to participate in these pro-metastatic protein/protein interactions has been proposed in this work. This method employs cost-effective peptide-based protein targeting ligands, while the electrochemical catalytic cross-linking in this method also "finalize" the noncovalent molecular recognition, so that the robustness can be improved to enable detection of relatively more complex biosamples. In studying clinical samples with the proposed method, the cellular distribution and overall expression of β-catenin show a parallel with the pathological grade of the sample, particularly, nuclear translocation. The pro-metastatic activation of β-catenin can also be observed as evidently correlated with higher-grade cases, suggesting the active role of β-catenin in promoting metastasis. According to these results, the proposed method may have the prospective use as a prognostic tool for evaluating the potential of invasion and metastasis in cancer.

Abstract B2-33: Computational model of chimeric antigen receptor-engineered T cells

Abstract Introduction. The purpose of this study is to create a predictive model that can be used to test hypotheses about chimeric antigen receptor (CAR) activation of T cells in order to optimize the development of these engineered proteins used for cancer immunotherapy. CARs are engineered proteins that contain an extracellular antibody-like region linked to a selection of intracellular signaling domains involved in T cell activation. CAR-engineered T cells have shown promise in treating B cell lymphoma, but they have not been successfully applied to other types of cancers. Additionally, there have been serious side effects when T cell activation goes awry. The specific mechanisms of the signaling and co-stimulatory domains on the CAR are not well understood, and therefore they are hard to control. Developing a computational model capable of comprehensively and quantitatively describing the biochemical reactions involved the CAR-mediated T cell signaling network will help guide the development and optimization of CAR-based cancer immunotherapy. Methods. We have constructed a model of T cell signaling mediated by CARs. Due to the complexity of the multiprotein interactions in this pathway, a rule-based model was written in BioNetGen and implemented in MatLab. The model consists of coupled, nonlinear differential equations, which can be solved to predict the concentrations of molecular species in CAR-mediated T cell signaling. In parallel, we have obtained signaling data using flow cytometry measurements to quantify the time required for ERK phosphorylation, indicating signaling through the MAPK pathway. These data are used to calibrate the model and estimate unknown parameter values. Results. Our computational model is comprised of 181 rules, encoding 1,989 reactions between 20 species. The initial parameter estimates are based on experimentally measured values and a model of T cell receptor signaling (Altan-Bonnet, et al., 2005). Importantly, our model expands upon previous works by modeling separate pathways for specific signaling domains that can be incorporated into the CAR and incorporating more detail into the large multi-protein complexes downstream of the CAR. Extending the model to these multi-protein complexes allows us to predict the levels of downstream proteins that correlate to specific responses of T cell activation, including cell proliferation and survival. We constructed two CAR proteins with different signaling domains (CD3ζ-only and CD3ζ+CD28), and stably expressed them in the Jurkat T cell line. We similarly expressed CD19 in the K562 cell line to be used as target cells. The CAR cells were stimulated with target cells and stained for intracellular flow cytometry analysis of doubly phosphorylated ERK. We performed a local sensitivity analysis to identify the effect of individual parameters on the model predictions. This analysis identified six parameters that most significantly influenced the model. These parameters were fit to ERK phosphorylation data, and we estimated the optimal parameter values required to match the experimental measurements using a nonlinear optimization procedure. Interestingly, the fitted model predicts that the time required for phosphorylation of ERK differs in CD3ζ-only and CD3ζ-CD28 CARs, matching our experimental measurements. The fitting procedure identified multiple parameter sets that fit the data equally well, indicating model robustness. We are currently collecting additional flow cytometry measurements to validate the model predictions. Conclusions. The model is able to accurately represent the effects of CAR signaling to provide insight into how different signaling domains control the strength and persistence of activated T cells. This understanding can be used to optimize CAR engineered T cells to target cancer cells in a manner that is both sensitive and specific. Citation Format: Jennifer Rohrs, Pin Wang, Stacey D. Finley. Computational model of chimeric antigen receptor-engineered T cells. [abstract]. In: Proceedings of the AACR Special Conference on Computational and Systems Biology of Cancer; Feb 8-11 2015; San Francisco, CA. Philadelphia (PA): AACR; Cancer Res 2015;75(22 Suppl 2):Abstract nr B2-33.

ID: 95: Quantitative characterisation of STAT2 dimerisation

Interferons (IFN) are released by cells as a response to microbial infection. They are best known for their antiviral and immunomodulatory functions. IFNs bind to cell surface receptors which then initiate a signalling cascade inside the cell, ultimately resulting in target gene transcription. Essential to this signalling cascade is the dimersation of signal transducer and activator of transcription proteins (STATs). The composition of these dimers determines the genes targeted. The STAT proteins, which are encoded by 7 different genes, can function as homodimers with the possible exception of STAT2. We will generate quanititative data on STAT2 homodimerisation to clarify this question. It is well known, in contrast, that STAT2 heterodimerises with STAT1. In fact, STAT1-STAT2 heterodimers are crucial for type I IFN signalling. STAT heterodimerisation is a commonly observed phenomenon that is nonetheless poorly understood. Our study will assess the interaction of STAT1 with STAT2 and thus for the first time generate quantitative data on the heterodimerisation of STAT proteins. We will utilise recombinant STAT1- and STAT2-proteins produced in insect cells, purified with affinity chromatography and gel filtration. Subsequently these proteins will be subject to sedimentation velocity and sedimentation equilibrium experiments using an analytical ultracentrifuge. These powerful methods allow quantitative characterisation of single- and multi-protein interactions, such as homodimer and heterodimer assembly respectively. These studies will further our understanding of STAT dimerisation and hence IFN signalling.

Detection of Wzy/Wzz interaction in Shigella flexneri.

The O antigen (Oag) component of Shigella flexneri lipopolysaccharide (LPS) is important for virulence and a protective antigen. It is synthesized by the Wzy-dependent mechanism. S. flexneri Wzy has 12 transmembrane segments and two large periplasmic loops. The modal chain length of the Oag is determined by Wzz. Experimental evidence supports multi-protein interactions in the Wzy-dependent pathway. However, evidence for direct interaction of Wzy with the other proteins of the Wzy-dependent pathway is limited. Initially, we purified Wzy-GFP-His8 and detected the presence of a dimeric form. In vivo cross-linking was then performed in an S. flexneri wzy mutant strain carrying plasmids encoding Wzy-GFP-His8 and untagged Wzz. Following solubilization with n-dodecyl-β-D-maltopyranoside (DDM) and affinity purification of Wzy-GFP-His8, Western immunoblotting with Wzz antibody detected co-purification of Wzz; this was supported by MS analysis. To the best of our knowledge, this is the first reported isolation of a complex between Wzy and Wzz. Wzy mutants (WzyR164A, WzyV92M, WzyY137H, and WzyR250K) whose properties are affected by Wzz were able to form complexes with Wzz. Their mutational alterations did not affect the interaction of Wzy with Wzz. Thus, the interaction may involve many regions of Wzy.

IQGAP1 interactome analysis by in vitro reconstitution and live cell 3‐color FRET microscopy

IQGAP1 stimulates branched actin filament nucleation by activating N-WASP, which then activates the Arp2/3 complex. N-WASP can be activated by other factors, including GTP-bound Cdc42 or Rac1, which also bind IQGAP1. Here we report the use of purified proteins for in vitro binding and actin polymerization assays, and Förster (or fluorescence) resonance energy transfer (FRET) microscopy of cultured cells to illuminate functional interactions among IQGAP1, N-WASP, actin, and either Cdc42 or Rac1. In pyrene-actin assembly assays containing N-WASP and Arp2/3 complex, IQGAP1 plus either small G protein cooperatively stimulated actin filament nucleation by reducing the lag time before 50% maximum actin polymerization was reached. Similarly, Cdc42 and Rac1 modulated the binding of IQGAP1 to N-WASP in a dose-dependent manner, with Cdc42 enhancing the interaction and Rac1 reducing the interaction. These in vitro reconstitution results suggested that IQGAP1 interacts by similar, yet distinct mechanisms with Cdc42 versus Rac1 to regulate actin filament assembly through N-WASP in vivo. The physiological relevance of these multi-protein interactions was substantiated by 3-color FRET microscopy of live MDCK cells expressing various combinations of fluorescent N-WASP, IQGAP1, Cdc42, Rac1, and actin. This study also establishes 3-color FRET microscopy as a powerful tool for studying dynamic intermolecular interactions in live cells.

Automated multidimensional single molecule fluorescence microscopy feature detection and tracking

Characterisation of multi-protein interactions in cellular networks can be achieved by optical microscopy using multidimensional single molecule fluorescence imaging. Proteins of different species, individually labelled with a single fluorophore, can be imaged as isolated spots (features) of different colour light in different channels, and their diffusive behaviour in cells directly measured through time. Challenges in data analysis have, however, thus far hindered its application in biology. A set of methods for the automated analysis of multidimensional single molecule microscopy data from cells is presented, incorporating Bayesian segmentation-based feature detection, image registration and particle tracking. Single molecules of different colours can be simultaneously detected in noisy, high background data with an arbitrary number of channels, acquired simultaneously or time-multiplexed, and then tracked through time. The resulting traces can be further analysed, for example to detect intensity steps, count discrete intensity levels, measure fluorescence resonance energy transfer (FRET) or changes in polarisation. Examples are shown illustrating the use of the algorithms in investigations of the epidermal growth factor receptor (EGFR) signalling network, a key target for cancer therapeutics, and with simulated data.

Discovery of Protein Complexes with Core-Attachment Structures from Tandem Affinity Purification (TAP) Data

Many cellular functions involve protein complexes that are formed by multiple interacting proteins. Tandem Affinity Purification (TAP) is a popular experimental method for detecting such multi-protein interactions. However, current computational methods that predict protein complexes from TAP data require converting the co-complex relationships in TAP data into binary interactions. The resulting pairwise protein-protein interaction (PPI) network is then mined for densely connected regions that are identified as putative protein complexes. Converting the TAP data into PPI data not only introduces errors but also loses useful information about the underlying multi-protein relationships that can be exploited to detect the internal organization (i.e., core-attachment structures) of protein complexes. In this article, we propose a method called CACHET that detects protein complexes with Core-AttaCHment structures directly from bipartitETAP data. CACHET models the TAP data as a bipartite graph in which the two vertex sets are the baits and the preys, respectively. The edges between the two vertex sets represent bait-prey relationships. CACHET first focuses on detecting high-quality protein-complex cores from the bipartite graph. To minimize the effects of false positive interactions, the bait-prey relationships are indexed with reliability scores. Only non-redundant, reliable bicliques computed from the TAP bipartite graph are regarded as protein-complex cores. CACHET constructs protein complexes by including attachment proteins into the cores. We applied CACHET on large-scale TAP datasets and found that CACHET outperformed existing methods in terms of prediction accuracy (i.e., F-measure and functional homogeneity of predicted complexes). In addition, the protein complexes predicted by CACHET are equipped with core-attachment structures that provide useful biological insights into the inherent functional organization of protein complexes. Our supplementary material can be found at http://www1.i2r.a-star.edu.sg/~xlli/CACHET/CACHET.htm ; binary executables can also be found there. Supplementary Material is also available at www.liebertonline.com/cmb.

Multiprotein interactions during surface adsorption: a molecular dynamics study of lysozyme aggregation at a charged solid surface.

Multiprotein adsorption of hen egg white lysozyme at a model charged ionic surface is studied using fully atomistic molecular dynamics simulations. Simulations with two, three, and five proteins, in various orientations with respect the surface, are performed over a 100 ns time scale. Mutated proteins with point mutations at the major (Arg128 and Arg125) and minor (Arg68) surface adsorption sites are also studied. The 100 ns time scale used is sufficient to observe protein translations, rotations, adsorption, and aggregation. Two competing processes of particular interest are observed, namely surface adsorption and protein–protein aggregation. At low protein concentration, the proteins first adsorb in isolation and can then reorientate on the surface to aggregate. At high concentration, the proteins aggregate in the solution and then adsorb in nonspecific ways. This work demonstrates the role of protein concentration in adsorption, indicates the residues involved in both types of interaction (protein–protein and protein–surface), and gives an insight into processes to be considered in the development of new functionalized material systems.

Bimolecular fluorescence complementation: lighting up seven transmembrane domain receptor signalling networks

There is increasing complexity in the organization of seven transmembrane domain (7TM) receptor signalling pathways, and in the ability of their ligands to modulate and direct this signalling. Underlying these events is a network of protein interactions between the 7TM receptors themselves and associated effectors, such as G proteins and beta-arrestins. Bimolecular fluorescence complementation, or BiFC, is a technique capable of detecting these protein-protein events essential for 7TM receptor function. Fluorescent proteins, such as those from Aequorea victoria, are split into two non-fluorescent halves, which then tag the proteins under study. On association, these fragments refold and regenerate a mature fluorescent protein, producing a BiFC signal indicative of complex formation. Here, we review the experimental criteria for successful application of BiFC, considered in the context of 7TM receptor signalling events such as receptor dimerization, G protein and beta-arrestin signalling. The advantages and limitations of BiFC imaging are compared with alternative resonance energy transfer techniques. We show that the essential simplicity of the fluorescent BiFC measurement allows high-content and advanced imaging applications, and that it can probe more complex multi-protein interactions alone or in combination with resonance energy transfer. These capabilities suggest that BiFC techniques will become ever more useful in the analysis of ligand and 7TM receptor pharmacology at the molecular level of protein-protein interactions.

Functional Characterization of Two Secreted SEL1L Isoforms Capable of Exporting Unassembled Substrate

SEL1L-A, a transmembrane glycoprotein residing in the endoplasmic reticulum (ER), is a component of the ER-associated degradation (ERAD) pathway. Alternative splicing generates two smaller SEL1L isoforms, -B and -C, that lack the SEL1L-A membrane-spanning region but retain some sel-1-like repeats, known to be involved in multi-protein interactions and signal transduction. In this study the functional characteristics of SEL1L-B and -C were investigated in human cell models. We show that these two isoforms are induced upon ER stress and activation of the unfolded protein response, together with SEL1L-A. Using transient transfection experiments (based on wild-type and mutant SEL1L constructs) combined with several biochemical tests we show that SEL1L-B and, more prominently, SEL1L-C are secreted glycoproteins. Although SEL1L-C is in monomeric form, SEL1L-B is engaged in intramolecular/intermolecular disulfide bonds. Both isoforms localize in secretory and degradative cellular compartments and in areas of cell-cell contact. However, whereas SEL1L-B is mainly associated with membranes, SEL1L-C shows the typical intralumenal localization of soluble proteins and is present in intercellular spaces. Furthermore, because of its peroxisomal domain, SEL1L-C localizes to peroxisomes. Both SEL1L-B and -C are involved in sorting and exporting unassembled Ig-mu(s) but do not affect two other ERAD substrates, the null Hong Kong variant of alpha(1)-antitrypsin, and mutant alpha(1)-AT Z. Overall these findings suggest that SEL1L-B and -C participate to novel molecular pathways that, in parallel with ERAD, contribute to the disposure of misfolded/unfolded or orphan proteins through degradation or secretion.

Tandem mass spectrometry acquisition approaches to enhance identification of protein‐protein interactions using low‐energy collision‐induced dissociative chemical crosslinking reagents

Chemical crosslinking combined with mass spectrometry is a useful tool for studying the topological organization of multiprotein interactions, but it is technically challenging to identify peptides involved in a crosslink using tandem mass spectrometry (MS/MS) due to the presence of product ions originating from both peptides within the same crosslink. We have previously developed a novel set of collision-induced dissociative chemical crosslinking reagents (CID-CXL reagents) that incorporate a labile bond within the linker which readily dissociates at a single site under low-energy collision-induced dissociation (CID) to enable independent isolation and sequencing of the crosslinked peptides by traditional MS/MS and database searching. Alternative low-energy CID events were developed within the in-source region by increasing the multipole DC offset voltage (ISCID) or within the ion trap by increasing the collisional excitation (ITCID). Both dissociation events, each having their unique advantages, occur without significant backbone fragmentation to the peptides, thus permitting subsequent CID to be applied to these distinct peptide ions for generation of suitable product ion spectra for database searching. Each approach was developed and applied to a chemical crosslinking study involving the N-terminal DNA-binding domain of AbrB (AbrBN), a transition-state regulator in Bacillus subtilis. A total of thirteen unique crosslinks were identified using the ITCID approach which represented a significant improvement over the eight unique crosslinks identified using the ISCID approach. The ability to segregate intrapeptide and interpeptide crosslinks using ITCID represents the first step towards high-throughput analysis of protein-protein crosslinks using our CID-CXL reagents.

Collaborator of Stat6 (CoaSt6)-associated Poly(ADP-ribose) Polymerase Activity Modulates Stat6-dependent Gene Transcription

The transcription factor Stat6 plays a critical role in interleukin-4-dependent gene activation. To mediate this function, Stat6 recruits canonical transcriptional co-activators including the histone acetyl transferases CREB-binding protein and NCoA-1 and other proteins such as a p100 co-factor. However, much remains unknown regarding the constituents of Stat6 enhancer complexes, and the exact molecular events that modulate Stat6-dependent gene activation are not fully understood. Recently, we identified a novel co-factor, CoaSt6 (collaborator of Stat6), which associates with Stat6 and enhances its transcriptional activity. Sequence homologies place CoaSt6 in a superfamily of poly(ADP-ribosyl)polymerase (PARP)-like proteins. We have demonstrated here that PARP enzymatic activity is associated with CoaSt6, and this function of CoaSt6 can append ADP-ribose to itself and p100. Further, we show that a catalytically inactive mutant of CoaSt6 was unable to enhance Stat6-mediated transcription of a test promoter. Consistent with these findings, chemical inhibition of PARP activity blocked interleukin-4-dependent transcription from target promoters in vivo. Taken together, we have identified a CoaSt6-associated PARP activity and provided evidence for a role of poly(ADP ribosyl)ation in Stat-mediated transcriptional responses involving a novel PARP.

Studying multisite binary and ternary protein interactions by global analysis of isothermal titration calorimetry data in SEDPHAT: Application to adaptor protein complexes in cell signaling

Multisite interactions and the formation of ternary or higher-order protein complexes are ubiquitous features of protein interactions. Cooperativity between different ligands is a hallmark for information transfer, and is frequently critical for the biological function. We describe a new computational platform for the global analysis of isothermal titration calorimetry (ITC) data for the study of binary and ternary multisite interactions, implemented as part of the public domain multimethod analysis software SEDPHAT. The global analysis of titrations performed in different orientations was explored, and the potential for unraveling cooperativity parameters in multisite interactions was assessed in theory and experiment. To demonstrate the practical potential and limitations of global analyses of ITC titrations for the study of cooperative multiprotein interactions, we have examined the interactions of three proteins that are critical for signal transduction after T-cell activation, LAT, Grb2, and Sos1. We have shown previously that multivalent interactions between these three molecules promote the assembly of large multiprotein complexes important for T-cell receptor activation. By global analysis of the heats of binding observed in sets of ITC injections in different orientations, which allowed us to follow the formation of binary and ternary complexes, we observed negative and positive cooperativity that may be important to control the pathway of assembly and disassembly of adaptor protein particles.