Drosophila Protein interaction Map (DPiM): A paradigm for metazoan protein complex interactions

Proteins perform essential cellular functions as part of protein complexes, often in conjunction with RNA, DNA, metabolites and other small molecules. The genome encodes thousands of proteins but not all of them are expressed in every cell type; and expressed proteins are not active at all times. Such diversity of protein expression and function accounts for the level of biological intricacy seen in nature. Defining protein-protein interactions in protein complexes, and establishing the when, what and where of potential interactions, is therefore crucial to understanding the cellular function of any protein—especially those that have not been well studied by traditional molecular genetic approaches. We generated a large-scale resource of affinity-tagged expression-ready clones and used co-affinity purification combined with tandem mass-spectrometry to identify protein partners of nearly 5,000 Drosophila melanogaster proteins. The resulting protein complex “map” provided a blueprint of metazoan protein complex organization. Here we describe how the map has provided valuable insights into protein function in addition to generating hundreds of testable hypotheses. We also discuss recent technological advancements that will be critical in addressing the next generation of questions arising from the map.     

Estimating the affinity of protein-ligand complex from changes to the charge-state distribution of a protein in electrospray ionization mass spectrometry

The detection of low affinity interactions between proteins and ligands by biophysical methods is challenging. It is often necessary to use competition methods that are time consuming and require well characterized known binders. A mass spectrometry approach is presented for identifying low affinity protein-ligand binding which does not require direct detection of the parent protein-ligand complex but depends on characteristic changes observed in the protein mass spectrum. We observe that on titration of ligand there are characteristic ‘charge-state shifts’ which manifest as changes in the relative intensities of protein peaks that correlate with the degree of protein-ligand complex formation. We suggest that use of this phenomenon will be particularly suitable for the identification of low affinity complexes where the intensity of any complex ion would be close to noise.     

Mass spectrometry-based proteomic analysis of the epitope-tag affinity purified protein complexes in eukaryotes

In recent years, MS has been widely used to study protein complex in eukaryotes. The identification of interacting proteins of a particular target protein may help defining protein-protein interaction and proteins of unknown functions. To isolate protein complexes, high-speed ultracentrifugation, sucrose density-gradient centrifugation, and coimmunoprecipitation have been widely used. However, the probability of getting nonspecific binding is comparatively high. Alternatively, by use of one- or two-step (tandem affinity purification) epitope-tag affinity purification, protein complexes can be isolated by affinity or immunoaffinity columns. These epitope-tags include protein A, hexahistidine (His), c-Myc, hemaglutinin (HA), calmodulin-binding protein, FLAG, maltose-binding protein, Strep, etc. The isolated protein complex can then be subjected to protease (i.e., trypsin) digestion followed by an MS analysis for protein identification. An example, the epitope-tag purification of the Arabidopsis cytosolic ribosomes, is addressed in this article to show the success of the application. Several representative protein complexes in eukaryotes been isolated and characterized by use of this approach are listed. In this review, the comparison among different tag systems, validation of interacting relationship, and choices of MS analysis method are addressed. The successful rate, advantages, limitations, and challenges of the epitope-tag purification are also discussed.     

Phosphorylation of serine residues in histidine-tag sequences attached to recombinant protein kinases: a cause of heterogeneity in mass and complications in function

High-level recombinant expression of protein kinases in eukaryotic cells or Escherichia coli commonly gives products that are phosphorylated by autocatalysis or by the action of endogenous kinases. Here, we report that phosphorylation occurred on serine residues adjacent to hexahistidine affinity tags (His-tags) derived from several commercial expression vectors and fused to overexpressed kinases. The result was observed with a variety of recombinant kinases expressed in either insect cells or E. coli. Multiple phosphorylations of His-tagged full-length Aurora A, a protein serine/threonine kinase, were detected by mass spectrometry when it was expressed in insect cells in the presence of okadaic acid, a protein phosphatase inhibitor. Peptide mapping by liquid chromatography-mass spectrometry detected phosphorylations on all three serine residues in an N-terminal tag, alpha-N-acetyl-MHHHHHHSSGLPRGS. The same sequence was also phosphorylated, but only at a low level, when a His-tagged protein tyrosine kinase, Pyk2 was expressed in insect cells and activated in vitro. When catalytic domains of Aurora A and several other protein serine/threonine kinases were expressed in E. coli, serines in the affinity tag sequence GSSHHHHHHSSGLVPRGS were also variably phosphorylated. His-Aurora A with hyperphosphorylation of the serine residues in the tag aggregated and resisted thrombin-catalyzed removal of the tag. Treatment with alkaline phosphatase partly restored sensitivity to thrombin. The same His-tag sequence was also detected bearing alpha-N-d-gluconoylation in addition to multiple phosphorylations. The results show that histidine-tag sequences can receive complicated posttranslational modification, and that the hyperphosphorylation and resulting heterogeneity of the recombinant fusion proteins can interfere with downstream applications.     

Proteomics in reproductive biology: Beacon for unraveling the molecular complexities

Proteomics, an interface of rapidly evolving advances in physics and biology, is rapidly developing and expanding its potential applications to molecular and cellular biology. Application of proteomics tools has contributed towards identification of relevant protein biomarkers that can potentially change the strategies for early diagnosis and treatment of several diseases. The emergence of powerful mass spectrometry-based proteomics technique has added a new dimension to the field of medical research in liver, heart diseases and certain forms of cancer. Most proteomics tools are also being used to study physiological and pathological events related to reproductive biology. There have been attempts to generate the proteomes of testes, sperm, seminal fluid, epididymis, oocyte, and endometrium from reproductive disease patients. Here, we have reviewed proteomics based investigations in humans over the last decade, which focus on delineating the mechanism underlying various reproductive events such as spermatogenesis, oogenesis, endometriosis, polycystic ovary syndrome, embryo development. The challenge is to harness new technologies like 2-DE, DIGE, MALDI-MS, SELDI-MS, MUDPIT, LC–MS etc., to a greater extent to develop widely applicable clinical tools in understanding molecular aspects of reproduction both in health and disease.     

Quantitative analysis of aspartate receptor signaling complex reveals that the homogeneous two-state model is inadequate: development of a heterogeneous two-state model

The two-state model of receptor activation, in which a receptor population exists in equilibrium between a single on-state and a single off-state, has long been considered a viable model for the signaling behavior of bacterial chemoreceptors. Here, we show that this simple, homogeneous two-state model is adequate for a pure receptor population with just one adaptation state, but fails to account quantitatively for the observed linear relationship between the apparent attractant affinity (K(1/2)) and kinase activity (V(obs)(apo)) as the adaptation state is varied. Further analysis reveals that the available data are instead consistent with a heterogeneous two-state model in which covalent modification of receptor adaptation sites changes the microscopic properties of the on-state or off-state. In such a system, each receptor molecule retains a single on-state and off-state, but covalent adaptation generates a heterogeneous population of receptors exhibiting a range of different on-states or off-states with different microscopic parameters and conformations. It follows that covalent adaptation transforms the receptor from a simple, two-state toggle switch into a variable switch. In order to identify the microscopic parameters most sensitive to covalent adaptation, six modified, two-state models were examined in which covalent adaptation alters a different microscopic parameter. The analysis suggests that covalent adaptation primarily alters the ligand-binding affinity of the receptor off-state (K(D1)). By contrast, models in which covalent adaptation alters the ligand-binding affinity of the receptor on-state, the maximal kinase stimulation of the on-state or off-state, cooperative interactions between receptors, or the assembly of the receptor-kinase signaling complex are inconsistent with the available evidence. Overall, the findings support a heterogeneous two-state model in which modification of the receptor adaptation sites generates a population of receptors with heterogeneous off-states differing in their attractant affinities.In the process of testing the effects of covalent adaptation on the assembly of the receptor-kinase signaling complex, a new method for estimating the stoichiometric ratio of receptor and CheA in the ternary signaling complex was devised. This method suggests that the ratio of receptor dimers to CheA dimers in the assembled complex is 6:1 or less.     

Protein complexes,big data,machine learning and integrative proteomics: lessons learned over a decade of systematic analysis of protein interaction networks

Overview: Elucidation of the networks of physical (functional) interactions present in cells and tissues is fundamental for understanding the molecular organization of biological systems, the mechanistic basis of essential and disease-related processes, and for functional annotation of previously uncharacterized proteins (via guilt-by-association or -correlation). After a decade in the field, we felt it timely to document our own experiences in the systematic analysis of protein interaction networks.

Areas covered: Researchers worldwide have contributed innovative experimental and computational approaches that have driven the rapidly evolving field of ‘functional proteomics’. These include mass spectrometry-based methods to characterize macromolecular complexes on a global-scale and sophisticated data analysis tools – most notably machine learning – that allow for the generation of high-quality protein association maps.

Expert commentary: Here, we recount some key lessons learned, with an emphasis on successful workflows, and challenges, arising from our own and other groups’ ongoing efforts to generate, interpret and report proteome-scale interaction networks in increasingly diverse biological contexts.     

Trafficking of the vesicular acetylcholine transporter in SN56 cells: a dynamin-sensitive step and interaction with the AP-2 adaptor complex

The pathways by which synaptic vesicle proteins reach their destination are not completely defined. Here we investigated the traffic of a green fluorescent protein (GFP)-tagged version of the vesicular acetylcholine transporter (VAChT) in cholinergic SN56 cells, a model system for neuronal processing of this cargo. GFP-VAChT accumulates in small vesicular compartments in varicosities, but perturbation of endocytosis with a dominant negative mutant of dynamin I-K44A impaired GFP-VAChT trafficking to these processes. The protein in this condition accumulated in the cell body plasma membrane and in large vesicular patches therein. A VAChT endocytic mutant (L485A/L486A) was also located at the plasma membrane, however, the protein was not sorted to dynamin I-K44A generated vesicles. A fusion protein containing the VAChT C-terminal tail precipitated the AP-2 adaptor protein complex from rat brain, suggesting that VAChT directly interacts with the endocytic complex. In addition, yeast two hybrid experiments indicated that the C-terminal tail of VAChT interacts with the micro subunit of AP-2 in a di-leucine (L485A/L486A) dependent fashion. These observations suggest that the di-leucine motif regulates sorting of VAChT from the soma plasma membrane through a clathrin dependent mechanism prior to the targeting of the transporter to varicosities.     

Protein complementation assays: Approaches for the in vivo analysis of protein interactions

The in vivo identification and characterization of protein-protein interactions (PPIs) are essential to understand cellular events in living organisms. In this review, we focus on protein complementation assays (PCAs) that have been developed to detect in vivo protein interactions as well as their modulation or spatial and temporal changes. The uses of PCAs are increasing, spanning different areas such as the study of biochemical networks, screening for protein inhibitors and determination of drug effects. Emphasis is given to approaches that rely on signals of spectroscopic nature (i.e. fluorescence or luminescence), the ones that are more directly related to bioimaging.     

Protein a resin lifetime study: Evaluation of protein a resin performance with a model-based approach in continuous capture

A modified shrinking core model (MSCM) has been used to describe the mechanism for the degradation of Protein A resin particles taking place under continuous chromatographic operation. The model is based on the hypothetical shrinkage of the boundary layer of the resin particles, which house the active Protein A ligands within their pores. The caustic during the sanitization phase of chromatography has been determined to cause the Protein A ligand degradation. Protein A resins provided by manufacturers possess unique caustic stability, which has been used in MSCM to appraise the ligand degradation. The kinetic model utilized semiempirical parameters including diffusion constant, rate constant, stoichiometric factor, and reaction order. The parameters were estimated from column breakthrough experiments to simulate continuous Protein A chromatography for three distinct resins. The reaction order has been identified as the key parameter for predicting the degradation kinetics. The recorded reaction orders vary for three different resins with the resin B showing the highest reaction order of 4 and lowest being 1.65 for the resin C. The model can predict the effects of caustic on resin performance and displayed that minimal degradation of the resins A and B occurred, when exposed to 0.1?N and 0.2N NaOH, retaining up to 96% binding capacity after 240?cycles. The adsorption study conducted for the resin B demonstrated the dynamic physical and chemical changes transpiring through the life cycle of the resin, further supported the degradation model. The performance data demonstrate that the resin B exhibits the desirable performance, with higher reaction order indicating slower resin degradation, higher binding capacities, and increased sustenance of this binding capacity for extended duration. The degradation model can be extended to build effective cleaning strategies for continuous downstream processing.     

Utilization of the Streptoalloteichus hindustanus resistance determinant ShBle as a protein framework: effect of mutation upon ShBle dimerization and interaction of C-terminal displayed peptide epitopes

We have selected the Streptoalloteichus hindustanus bleomycin-resistance protein ShBle, a 28-kDa homodimer, as a scaffold for the display of bioactive peptides and other peptide epitopes. To create a monomeric scaffold, we investigated the effect of mutating residue proline 9 to glycine. This residue plays a critical role in ShBle dimerization by affecting the position of the eight N-terminal residues which secure the interaction between the monomeric subunits. We demonstrate that this mutation weakens the dimerization interaction, resulting in establishment of a stable equilibrium between monomeric and dimeric ShBle species in solution. Circular dichroism and SDS–PAGE data indicate that the Pro9Gly mutation does not disrupt the structure of the molecule. Production of a fully monomeric form of ShBle required complete removal of the eight-residue N-terminal peptide, and the interaction across the now solvent-exposed hydrophobic interface of the ShBle monomer was insufficient to drive dimerization. To demonstrate efficient display of epitope tags on the ShBle protein, we displayed dual-octapeptide FLAG tags at the protein C-terminus. These additions did not interfere with protein folding or activity. The resulting ShBle scaffold was used to compare the efficiency of two commercial FLAG-specific antibodies by biosensor.     

Intramolecular binding of a proximal PPII helix to an SH3 domain in the fusion protein SH3Hck: PPIIhGAP

SH3 domains are a conserved feature of many nonreceptor protein tyrosine kinases, such as Hck, and often function in substrate recruitment and regulation of kinase activity. SH3 domains modulate kinase activity by binding to polyproline helices (PP_II helix) either intramolecularly or in target proteins. The preponderance of bimolecular and distal interactions between SH3 domains and PP_II helices led us to investigate whether proximal placement of a PP_II helix relative to an SH3 domain would result in tight, intramolecular binding. We have fused the PP_II helix region of human GAP to the C-terminus of Hck SH3 and expressed the recombinant fusion protein in Eschericheria coli. The fusion protein, SH3_Hck: PPII_hGAP, folded spontaneously into a structure in which the PP_II helix was bound intramolecularly to the hydrophobic crevice of the SH3 domain. The SH3_Hck: PPII_hGAP fusion protein is useful for investigating SH3: PP_II helix interactions, for studying concepts in protein folding and design, and may represent a protein structural motif that is widely distributed in nature.     

Giardia duodenalis: direct experimental evidence for the absence of a glycosylphosphatidylinositol anchor in a variant surface protein

The trophozoites of Giardia duodenalis express variant surface proteins (VSPs) that cover the entire surface of the cell and can be altered by antigenic variation. In the present study, a VSP (VSPH7) expressed by the Giardia GS isolate was purified using Triton-X-114 extraction/phase partitioning and a combination of column chromatography methods. The purified VSP was typed by mass spectrometric fingerprint mapping and peptide sequencing and found to share 58-99.8% peptide identity with the VSPH7 protein sequence previously deduced from the cloned cDNA. Carbohydrate compositional analyses consistently showed the presence of galactose in the VSP preparations but a direct association of carbohydrate with the VSPH7 could not be established. Analysis of the C-terminal part of the purified VSPH7 by off-blot myo-inositol analysis provided for the first time direct experimental evidence that this protein is not modified via a GPI lipid.     

Investigation of substrate water interactions at the high-affinity Mn site in the photosystem II oxygen-evolving complex

18 O isotope exchange measurements of photosystem II (PSII) in thylakoids from wild-type and mutant Synechocystis have been performed to investigate binding of substrate water to the high-affinity Mn4 site in the oxygen-evolving complex (OEC). The mutants investigated were D1-D170H, a mutation of a direct ligand to the Mn4 ion, and D1-D61N, a mutation in the second coordination sphere. The substrate water 18 O exchange rates for D61N were found to be 0.16+/-0.02 s(-1) and 3.03+/-0.32 s(-1) for the slow and fast phases of exchange, respectively, compared with 0.47+/-0.04 s(-1) and 19.7+/-1.3 s(-1) for the wild-type. The D1-D170H rates were found to be 0.70+/-0.16 s(-1) and 24.4+/-4.6 s(-1) and thus are almost within the error limits for the wild-type rates. The results from the D1-D170H mutant indicate that the high-affinity Mn4 site does not directly bind to the substrate water molecule in slow exchange, but the binding of non-substrate water to this Mn ion cannot be excluded. The results from the D61N mutation show an interaction with both substrate water molecules, which could be an indication that D61 is involved in a hydrogen bonding network with the substrate water. Our results provide limitations as to where the two substrate water molecules bind in the OEC of PSII.     

Proteomic analysis of nuclear factors binding to an intronic enhancer in the myelin proteolipid protein gene

The myelin proteolipid protein gene ( Plp1 ) encodes the most abundant protein found in CNS myelin, accounting for nearly one-half of the total protein. Its expression in oligodendrocytes is developmentally regulated – peaking during the active myelination period of CNS development. Previously, we have identified a novel enhancer (designated ASE) in intron 1 DNA that appears to be important in mediating the surge of Plp1 gene activity during the active myelination period. Evidence suggests that the ASE participates in the formation of a specialized multi-protein/DNA complex called an enhanceosome. The current study describes an optimized, five-step, DNA affinity chromatography purification procedure to purify nuclear proteins from mouse brain that bind to the 85-bp ASE sequence, specifically. Electrophoretic mobility shift assay analysis demonstrated that specific DNA-binding activity was retained throughout the purification procedure, resulting in concomitant enrichment of nucleoprotein complexes. Identification of the purported regulatory factors was achieved through mass spectrometry analysis and included over 20 sequence-specific DNA-binding proteins. Supplementary western blot analyses to determine which of these sequence-specific factors are present in oligodendrocytes, and their developmental and regional expression in whole brain, suggest that Purα and Purβ rank highest among the candidate factors as constituents of the multi-protein complex formed on the ASE.     

Hydrogencarbonate is not a tightly bound constituent of the water-oxidizing complex in photosystem II

Since the end of the 1950s hydrogencarbonate (‘bicarbonate’) is discussed as a possible cofactor of photosynthetic water-splitting, and in a recent X-ray crystallography model of photosystem II (PSII) it was displayed as a ligand of the Mn₄O_xCa cluster. Employing membrane-inlet mass spectrometry (MIMS) and isotope labelling we confirm the release of less than one (≈ 0.3) HCO₃⁻ per PSII upon addition of formate. The same amount of HCO₃⁻ release is observed upon formate addition to Mn-depleted PSII samples. This suggests that formate does not replace HCO₃⁻ from the donor side, but only from the non-heme iron at the acceptor side of PSII. The absence of a firmly bound HCO₃⁻ is corroborated by showing that a reductive destruction of the Mn₄O_xCa cluster inside the MIMS cell by NH₂OH addition does not lead to any CO₂/HCO₃⁻ release. We note that even after an essentially complete HCO₃⁻/CO₂ removal from the sample medium by extensive degassing in the MIMS cell the PSII samples retain ≥ 75% of their initial flash-induced O₂-evolving capacity. We therefore conclude that HCO₃⁻ has only ‘indirect’ effects on water-splitting in PSII, possibly by being part of a proton relay network and/or by participating in assembly and stabilization of the water-oxidizing complex.     

Normal protein composition of synapses in Ts65Dn mice: a mouse model of Down syndrome

Down syndrome (DS) is the most prevalent form of intellectual disability caused by the triplication of ∼230 genes on chromosome 21. Recent data in Ts65Dn mice, the foremost mouse model of DS, strongly suggest that cognitive impairment in individuals with DS is a consequence of reduced synaptic plasticity because of chronic over-inhibition. It remains unclear however whether changes in plasticity are tied to global molecular changes at synapses, or are due to regional changes in the functional properties of synaptic circuits. One interesting framework for evaluating the activity state of the DS brain comes from in vitro studies showing that chronic pharmacological silencing of neuronal excitability orchestrates stereotyped changes in the protein composition of synaptic junctions. In the present study, we use proteomic strategies to evaluate whether synapses from the Ts65Dn cerebrum carry signatures characteristic of inactive cortical neurons. Our data reveal that synaptic junctions do not exhibit overt alterations in protein composition. Only modest changes in the levels of synaptic proteins and in their phosphorylation are observed. This suggests that subtle changes in the functional properties of specific synaptic circuits rather than large-scale homeostatic shifts in the expression of synaptic molecules contribute to cognitive impairment in people with DS.