Multicolor BiFC analysis of competition among G protein β and γ subunit interactions

We have applied multicolor BiFC to study the association preferences of G protein β and γ subunits in living cells. Cells co-express multiple isoforms of β and γ subunits, most of which can form complexes. Although many βγ complexes exhibit similar properties when assayed in reconstituted systems, knockout experiments in vivo suggest that individual isoforms have unique functions. BiFC makes it possible to correlate βγ complex formation with functionality in intact cells by comparing the amounts of fluorescent βγ complexes with their abilities to modulate effector proteins. The relative predominance of specific βγ complexes in vivo is not known. To address this issue, multicolor BiFC can determine the association preferences of β and γ subunits by simultaneously visualizing the two fluorescent complexes formed when β or γ subunits fused to amino terminal fragments of yellow fluorescent protein (YFP-N) and cyan fluorescent protein (CFP-N) compete to interact with limiting amounts of a common γ or β subunit, respectively, fused to a carboxyl terminal fragment of CFP (CFP-C). Multicolor BiFC also makes it possible to determine the roles of interacting proteins in the subcellular targeting of complexes, study the formation of protein complexes that are unstable under isolation conditions, determine the roles of co-expressed proteins in regulating the association preferences of interacting proteins, and visualize dynamic events affecting multiple protein complexes. These approaches can be applied to studying the assembly and functions of a wide variety of protein complexes in the context of a living cell.     

Direct Interaction of Selenoprotein R with Clusterin and Its Possible Role in Alzheimer’s Disease

Selenoprotein R (SelR) plays an important role in maintaining intracellular redox balance by reducing the R-form of methionine sulfoxide to methionine. As SelR is highly expressed in brain and closely related to Alzheimer′s disease (AD), its biological functions in human brain become a research focus. In this paper, the selenocysteine-coding TGA of SelR gene was mutated to cysteine-coding TGC and used to screen the human fetal brain cDNA library with a yeast two-hybrid system. Our results demonstrated that SelR interacts with clusterin (Clu), a chaperone protein. This protein interaction was further verified by fluorescence resonance energy transfer (FRET), coimmunoprecipitation (co-IP), and pull-down assays. The interacting domain of Clu was determined by co-IP to be a dynamic, molten globule structure spanning amino acids 315 to 381 with an amphipathic-helix. The interacting domain of SelR was investigated by gene manipulation, ligand replacement, protein over-expression, and enzyme activity measurement to be a tetrahedral complex consisting of a zinc ion binding with four Cys residues. Study on the mutual effect of SelR and Clu showed synergic property between the two proteins. Cell transfection with SelR gene increased the expression of Clu, while cell transfection with Clu promoted the enzyme activity of SelR. Co-overexpression of SelR and Clu in N2aSW cells, an AD model cell line, significantly decreased the level of intracellular reactive oxygen species. Furthermore, FRET and co-IP assays demonstrated that Clu interacted with β-amyloid peptide, a pathological protein of AD, which suggested a potential effect of SelR and Aβ with the aid of Clu. The interaction between SelR and Clu provides a novel avenue for further study on the mechanism of SelR in AD prevention.     

Application of Mu in vitro transposition for high-precision mapping of protein–protein interfaces on a yeast two-hybrid platform

High-precision mapping of regions involved in protein–protein interfaces of interacting protein partners is an essential component on a path to understand various cellular functions. Transposon-based systems, particularly those involving in vitro reactions, offer exhaustive insertion mutant libraries and high-throughput platforms for many types of genetic analyses. We present here a genetic strategy to accurately map interacting protein regions at amino acid precision that is based on transposition-assisted construction, sampling, and analysis of a comprehensive insertion mutant library. The methodology integrates random pentapeptide mutagenesis of proteins, yeast two-hybrid screening, and high-resolution genetic footprinting. This straightforward strategy is general, and it provides a rapid and easy means to identify critical contact regions in proteins without the requirement of prior structural knowledge.     

Aggregation-prone Regions in HYPK Help It to Form Sequestration Complex for Toxic Protein Aggregates

Protein aggregates result from altered structural conformations and they can perturb cellular homeostasis. Prevention mechanisms, which function against protein aggregation by modulatory processes, are diverse and redundant. In this study, we have characterized Huntingtin interacting protein K (HYPK) as a global aggregation-regulatory protein. We report the mechanistic details of how HYPK's aggregation-prone regions allow it to sense and prevent other toxic protein's aggregation by forming unique annular-shaped sequestration complexes. Screenings for interacting partners of different aggregation-prone proteins identify HYPK as a global interacting partner/regulator of Huntingtin97Qexon1, α-Synuclein-A53T and Superoxide dismutase1-G93A. C-terminal hydrophobic region in HYPK makes direct contacts with aggregates to initiate the formation of sequestration complexes. HYPK acts as aggregate sensor by existing in a seeded amyloid-like state which also favors its own concentration-dependent self-oligomerization. Oligomerization of HYPK leads to annular and non-fibrillar/amorphous aggregates. Two hydrophobic segments in the C-terminus of HYPK are responsible for its own aggregations. Self-association of HYPK follows seed nucleation, in which oligomeric HYPK seeds nucleate to annular structures. Annular oligomers of HYPK fuse with each other to form amorphous aggregates. HYPK shows differential interactions with aggregation-prone and non-aggregating proteins, as it preferentially binds to aggregation-prone proteins with higher affinity than native/non-aggregating proteins. This favors the formation of HYPK's sequestration complexes both in cytosol and in ribosome. Besides having aggregation-preventive property, HYPK also reduces the cellular level of toxic proteins. In vivo, HYPK sequestration complexes prevent the formation of toxic protein aggregates to physiologically show positive impact on cell survival and restoration of normal cell physiology.     

PTPIP51, a novel 14-3-3 binding protein, regulates cell morphology and motility via Raf-ERK pathway

Cell migration plays a critical role during the development of most organisms and the process of malignant tumor metastasis. In the present study, we investigated the role of PTPIP51 (protein tyrosine phosphatase interacting protein 51) in cell motility. Overexpression of PTPIP51 induced cell elongation, increased cell migration, adhesion, and spreading, while downregulation of PTPIP51 had the opposite effects. We demonstrated here, that PTPIP51 could regulate ERK activity on Raf level, since MEK inhibitor and dominant-negative Raf-1 but not Ras could inhibit the ERK activation induced by PTPIP51. Further studies proved that PTPIP51 could interact with Raf-1 through 14–3–3, suggesting that PTPIP51 is a regulator of the Raf–MEK–ERK cascade through modulation of Raf-1 by 14–3–3. In addition, two redundant 14–3–3 binding domains in the PTPIP51 protein have been identified by deletion/mutation studies. We conclude that PTPIP51 regulates cell morphology and cell motility via interaction with Raf-1 through 14–3–3, and that PTPIP51 binds to 14–3–3 through two redundant binding domains.     

Genetic and Biochemical Approaches for In Vivo and In Vitro Assessment of Protein Oligomerization: The Ryanodine Receptor Case Study

Oligomerization is often a structural requirement for proteins to accomplish their specific cellular function. For instance, tetramerization of the ryanodine receptor (RyR) is necessary for the formation of a functional Ca²⁺ release channel pore. Here, we describe detailed protocols for the assessment of protein self-association, including yeast two-hybrid (Y2H), co-immunoprecipitation (co-IP) and chemical cross-linking assays. In the Y2H system, protein self-interaction is detected by β-galactosidase assay in yeast co-expressing GAL4 bait and target fusions of the test protein. Protein self-interaction is further assessed by co-IP using HA- and cMyc-tagged fusions of the test protein co-expressed in mammalian HEK293 cells. The precise stoichiometry of the protein homo-oligomer is examined by cross-linking and SDS-PAGE analysis following expression in HEK293 cells. Using these different but complementary techniques, we have consistently observed the self-association of the RyR N-terminal domain and demonstrated its intrinsic ability to form tetramers. These methods can be applied to protein-protein interaction and homo-oligomerization studies of other mammalian integral membrane proteins.     

How hyaluronan–protein complexes modulate the hyaluronidase activity: The model

Hyaluronan (HA) is the substrate of hyaluronidase (HAase). In addition, HA is able to form electrostatic complexes with many proteins, including HAase. Experiments have shown the strong inhibition of the HA hydrolysis catalyzed by HAase when performed at low HAase over HA concentration ratio and under low ionic strength conditions. Non-catalytic P proteins are able to compete with HAase to form electrostatic complexes with HA and thus to modulate HAase activity. We have modeled the HA–HAase–P system by considering the competition between the two complex equilibria HA–P and HA–HAase, the Michaelis–Menten type behavior of HAase, and the non-activity of the electrostatically complexed HAase. Simulations performed by introducing experimental data produce a theoretical behavior similar to the experimental one, including all the atypical phenomena observed: substrate-dependence, enzyme-dependence and protein-dependence of HAase. This shows that our assumptions are sufficient to explain the behavior of the system and allow us to estimate unknown parameters and suggest new developments.     

The hyaluronan–protein complexes at low ionic strength: How the hyaluronidase activity is controlled by the bovine serum albumin

Hyaluronan (HA) hydrolysis catalysed by hyaluronidase (HAase) is strongly inhibited when performed at low HAase over HA concentration ratio and under low ionic strength conditions. The reason is the ability of long HA chains to form electrostatic and non-catalytic complexes with HAase. For a given HA concentration, low HAase concentrations lead to very low hydrolysis rates because all the HAase molecules are sequestered by HA, whilst high HAase concentrations lead to high hydrolysis rates because the excess of HAase molecules remains free and active. At pH 4, non-catalytic proteins like bovine serum albumin (BSA) are able to compete with HAase to form electrostatic complexes with HA, liberating HAase which recovers its catalytic activity. The general scheme for the BSA-dependency is thus characterised by four domains delimited by three noticeable points corresponding to constant BSA over HA concentration ratios. The existence of HA–protein complexes explains the atypical kinetic behaviour of the HA / HAase system. We also show that HAase recovers the Michaelis–Menten type behaviour when the HA molecule complexed with BSA in a constant complexion state, i.e. with the same BSA over HA ratio, is considered for substrate. When the ternary HA / HAase / BSA system is concerned, the stoichiometries of the HA–HAase and HA–BSA complexes are close to 10 protein molecules per HA molecule for a native HA of 1 MDa molar mass. Finally, we show that the behaviour of the system is similar at pH 5.25, although the efficiency of BSA is less.     

Chemical cross-linking and mass spectrometry to determine the subunit interaction network in a recombinant human SAGA HAT subcomplex

Understanding the way how proteins interact with each other to form transient or stable protein complexes is a key aspect in structural biology. In this study, we combined chemical cross-linking with mass spectrometry to determine the binding stoichiometry and map the protein–protein interaction network of a human SAGA HAT subcomplex. MALDI-MS equipped with high mass detection was used to follow the cross-linking reaction using bis[sulfosuccinimidyl] suberate (BS3) and confirm the heterotetrameric stoichiometry of the specific stabilized subcomplex. Cross-linking with isotopically labeled BS3 d0-d4 followed by trypsin digestion allowed the identification of intra- and intercross-linked peptides using two dedicated search engines: pLink and xQuest. The identified interlinked peptides suggest a strong network of interaction between GCN5, ADA2B and ADA3 subunits; SGF29 is interacting with GCN5 and ADA3 but not with ADA2B. These restraint data were combined to molecular modeling and a low-resolution interacting model for the human SAGA HAT subcomplex could be proposed, illustrating the potential of an integrative strategy using cross-linking and mass spectrometry for addressing the structural architecture of multiprotein complexes.     

Regulation of the Water Channel Aquaporin-2 via 14-3-3θ and -ζ

The 14-3-3 family of proteins are multifunctional proteins that interact with many of their cellular targets in a phosphorylation-dependent manner. Here, we determined that 14-3-3 proteins interact with phosphorylated forms of the water channel aquaporin-2 (AQP2) and modulate its function. With the exception of σ, all 14-3-3 isoforms were abundantly expressed in mouse kidney and mouse kidney collecting duct cells (mpkCCD₁₄). Long-term treatment of mpkCCD₁₄ cells with the type 2 vasopressin receptor agonist dDAVP increased mRNA and protein levels of AQP2 alongside 14-3-3β and -ζ, whereas levels of 14-3-3η and -θ were decreased. Co-immunoprecipitation (co-IP) studies in mpkCCD₁₄ cells uncovered an AQP2/14-3-3 interaction that was modulated by acute dDAVP treatment. Additional co-IP studies in HEK293 cells determined that AQP2 interacts selectively with 14-3-3ζ and -θ. Use of phosphatase inhibitors in mpkCCD₁₄ cells, co-IP with phosphorylation deficient forms of AQP2 expressed in HEK293 cells, or surface plasmon resonance studies determined that the AQP2/14-3-3 interaction was modulated by phosphorylation of AQP2 at various sites in its carboxyl terminus, with Ser-256 phosphorylation critical for the interactions. shRNA-mediated knockdown of 14-3-3ζ in mpkCCD₁₄ cells resulted in increased AQP2 ubiquitylation, decreased AQP2 protein half-life, and reduced AQP2 levels. In contrast, knockdown of 14-3-3θ resulted in increased AQP2 half-life and increased AQP2 levels. In conclusion, this study demonstrates phosphorylation-dependent interactions of AQP2 with 14-3-3θ and -ζ. These interactions play divergent roles in modulating AQP2 trafficking, phosphorylation, ubiquitylation, and degradation.     

Photoreceptor IFT Complexes Containing Chaperones, Guanylyl Cyclase 1 and Rhodopsin

Intraflagellar transport (IFT) provides a mechanism for the transport of cilium-specific proteins, but the mechanisms for linkage of cargo and IFT proteins have not been identified. Using the sensory outer segments (OS) of photoreceptors, which are derived from sensory cilia, we have identified IFT–cargo complexes containing IFT proteins, kinesin 2 family proteins, two photoreceptor-specific membrane proteins, guanylyl cyclase 1 (GC1, Gucy2e) and rhodopsin (RHO), and the chaperones, mammalian relative of DNAJ, DnajB6 (MRJ), and HSC70 (Hspa8). Analysis of these complexes leads to a model in which MRJ through its binding to IFT88 and GC1 plays a critical role in formation or stabilization of the IFT–cargo complexes. Consistent with the function of MRJ in the activation of HSC70 ATPase activity, Mg-ATP enhances the co-IP of GC1, RHO, and MRJ with IFT proteins. Furthermore, RNAi knockdown of MRJ in IMCD3 cells expressing GC1-green fluorescent protein (GFP) reduces cilium membrane targeting of GC1-GFP without apparent effect on cilium elongation.     

Molecular dynamics analysis of the structures of ras-guanine nucleotide exchange protein (SOS) bound to wild-type and oncogenic ras-p21. Identification of effector domains of SOS

The X-ray crystal structure of the ras oncogene-encoded p21 protein bound to SOS, the guanine nucleotide exchange-promoting protein, has been determined. We have undertaken to determine if there are differences between the three-dimensional structures of SOS bound to normal and oncogenic (Val 12-p21) proteins. Using molecular dynamics, we have computed the average structures for both complexes and superimposed them. We find four domains of SOS that differ markedly in structure: 631–641, 676–691, 718–729, and 994–1004. Peptides corresponding to these sequences have been synthesized and found to be powerful modulators of oncogenic p21 in cells as described in an accompanying paper. We find that the SOS segment from 809–815 makes contacts with multiple domains of ras-p21 and can facilitate correlated conformational changes in these domains.     

Role of cation-pi interactions in single chain 'all-alpha' proteins

Cation–π interactions are known to be important contributors to protein stability and ligand–protein interactions. In this study, we have analyzed the influence of cation–π interactions in single chain ‘all-alpha’ proteins. We observed 135 cation–π interactions in a data set of 75 proteins. No significant correlation was observed between the total number of amino acid residues and number of cation–π interactions. These interactions are mainly formed by long-range contacts and there is preference of Arg over Lys in these interactions. Arg–Phe interactions are predominant among the various pairs analyzed. Despite the scarcity of interactions involving Trp, the average energy for Trp–cation interactions, was quite high. This information implies that the cation–π interactions involving Trp, maybe of high relevance to the proteins. Secondary structure analysis reveals that cation–π interactions are formed preferrably between residues, in which at least one of them, is in the secondary structure of alpha-helical segments. Among the various types of folds of ‘all-alpha’ proteins considered for the analysis, proteins belonging to alpha–alpha superhelix fold have the highest number of cation–π interaction forming residues.     

Structure of DNA Complexes with Nonhistone Chromosomal Protein HMGB1 in the Presence of Manganese Ions

The complexes of DNA–HMGB1 protein–manganese ions have been studied using the circular dichroism (CD) technique. It was shown that the interactions of both the protein and metal ions with DNA in this three-component system differ from those in two-component complexes. The manganese ions did not affect the CD spectrum of the free HMGB1 protein. However, Mn²⁺ ions induced considerable changes in the CD spectrum of free DNA in the spectral range of 260–290 nm. The presence of Mn²⁺ ions prevented the formation of the ordered supramolecular structures typical of HMGB1–DNA complexes. The interaction of manganese ions with DNA had a marked influence on the local DNA structure, changing the properties of protein-binding sites and resulting in a marked decrease in cooperativity of HMGB1–DNA binding. Such changes in the mode of protein–DNA interactions occurred at concentrations as small as 0.01 mM Mn²⁺. Moreover, the changes in local DNA structure induced by the manganese ions promoted the appearance of new HMGB1 binding sites in the DNA double helix. At the same time, interactions with the HMGB1 protein induced alterations in the structure of the DNA double helix, which increased with an increase in the protein-to-DNA ratio. These alterations made the DNA–protein complex especially sensitive to manganese ions. Under these conditions the Mn²⁺ ions strongly affected the DNA structure, which was reflected in abrupt changes in the CD spectra of DNA in the complex in the range of 260–290 nm. Thus, structural changes in the DNA double helix in three-component DNA–HMGB1–Mn²⁺ complexes result from the combined and interdependent interactions of DNA with Mn²⁺ ions and HMGB1 molecules.     

A member of the Y-box protein family interacts with an upstream element in the α1(I) collagen gene

Transforming growth factor beta (TGF-β) stimulates protein complex formation on a TGF-β response element (TAE) found in the distal portion (−1624) of the collagen alpha 1(I) promoter. To identify the fibroblast proteins in this complex, an expression library constructed from human embryonic lung fibroblasts mRNA was screened using a tetramer of TAE. Y-box binding protein (YB-1), was identified as a protein in the TAE–protein complex. The protein expressed by phage clones formed a specific complex with labeled TAE but not mutated TAE (mTAE) similar to the complex formed with nuclear protein. Nuclear protein–TAE complexes isolated from native gels contained YB-1 by Western analysis. TGF-β treatment increased the amount of YB-1 protein in nuclear extracts, decreased its amount in cytoplasm, but did not alter the steady state levels of YB-1 mRNA. A full-length YB-1 protein expressed in human lung fibroblasts was primarily located in the nucleus with punctate staining in cytoplasmic regions. The expression of YB-1 decreased in the cytoplasm after 2 h of TGF-β treatment. Therefore, the increased binding activity seen in TGF-β-stimulated nuclear extracts was due primarily to relocalization of YB-1 from the cytoplasm to the nuclear compartment. Co-transfection of YB-1 cDNA with a collagen promoter–reporter construct caused a dose-dependent activation of collagen promoter activity in rat fibroblasts whereas the promoter with a mutation in the TAE element was not sensitive to YB-1 co-expression. In conclusion, we have identified YB-1 as a protein that interacts with a TGF-β response element in the distal region of the collagen alpha 1(I) gene. YB-1 protein activates the collagen promoter and translocates into the nucleus during TGF-β addition to fibroblasts, suggesting a role for this protein in TGF-β signaling.     

Beauty Is in the Eye of the Beholder: Proteins Can Recognize Binding Sites of Homologous Proteins in More than One Way

Understanding the mechanisms of protein–protein interaction is a fundamental problem with many practical applications. The fact that different proteins can bind similar partners suggests that convergently evolved binding interfaces are reused in different complexes. A set of protein complexes composed of non-homologous domains interacting with homologous partners at equivalent binding sites was collected in 2006, offering an opportunity to investigate this point. We considered 433 pairs of protein–protein complexes from the ABAC database (AB and AC binary protein complexes sharing a homologous partner A) and analyzed the extent of physico-chemical similarity at the atomic and residue level at the protein–protein interface. Homologous partners of the complexes were superimposed using Multiprot, and similar atoms at the interface were quantified using a five class grouping scheme and a distance cut-off. We found that the number of interfacial atoms with similar properties is systematically lower in the non-homologous proteins than in the homologous ones. We assessed the significance of the similarity by bootstrapping the atomic properties at the interfaces. We found that the similarity of binding sites is very significant between homologous proteins, as expected, but generally insignificant between the non-homologous proteins that bind to homologous partners. Furthermore, evolutionarily conserved residues are not colocalized within the binding sites of non-homologous proteins. We could only identify a limited number of cases of structural mimicry at the interface, suggesting that this property is less generic than previously thought. Our results support the hypothesis that different proteins can interact with similar partners using alternate strategies, but do not support convergent evolution.     

Interactomes of SARS‐CoV‐2 and human coronaviruses reveal host factors potentially affecting pathogenesis

Host–virus protein–protein interactions play key roles in the life cycle of severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2). We conducted a comprehensive interactome study between the virus and host cells using tandem affinity purification and proximity‐labeling strategies and identified 437 human proteins as the high‐confidence interacting proteins. Further characterization of these interactions and comparison to other large‐scale study of cellular responses to SARS‐CoV‐2 infection elucidated how distinct SARS‐CoV‐2 viral proteins participate in its life cycle. With these data mining, we discovered potential drug targets for the treatment of COVID‐19. The interactomes of two key SARS‐CoV‐2‐encoded viral proteins, NSP1 and N, were compared with the interactomes of their counterparts in other human coronaviruses. These comparisons not only revealed common host pathways these viruses manipulate for their survival, but also showed divergent protein–protein interactions that may explain differences in disease pathology. This comprehensive interactome of SARS‐CoV‐2 provides valuable resources for the understanding and treating of this disease.     

Predicting permanent and transient protein–protein interfaces

Protein–protein interactions (PPIs) are involved in diverse functions in a cell. To optimize functional roles of interactions, proteins interact with a spectrum of binding affinities. Interactions are conventionally classified into permanent and transient, where the former denotes tight binding between proteins that result in strong complexes, whereas the latter compose of relatively weak interactions that can dissociate after binding to regulate functional activity at specific time point. Knowing the type of interactions has significant implications for understanding the nature and function of PPIs. In this study, we constructed amino acid substitution models that capture mutation patterns at permanent and transient type of protein interfaces, which were found to be different with statistical significance. Using the substitution models, we developed a novel computational method that predicts permanent and transient protein binding interfaces (PBIs) in protein surfaces. Without knowledge of the interacting partner, the method uses a single query protein structure and a multiple sequence alignment of the sequence family. Using a large dataset of permanent and transient proteins, we show that our method, BindML+, performs very well in protein interface classification. A very high area under the curve (AUC) value of 0.957 was observed when predicted protein binding sites were classified. Remarkably, near prefect accuracy was achieved with an AUC of 0.991 when actual binding sites were classified. The developed method will be also useful for protein design of permanent and transient PBIs. © Proteins 2013. © 2012 Wiley Periodicals, Inc.     

Complexing of Basic Pancreatic Proteinase Inhibitor with Soybean Phospholipid Multilamellar Vesicles

The formation of complexes of basic pancreatic proteinase inhibitor (BPTI) with multilamellar vesicles (MLV) from six preparations of soybean phospholipids of various composition was studied. When BPTI, a non-membrane protein, interacts with MLV, the vesicles aggregate, forming a precipitate of protein–lipid complexes. The BPTI content in the protein–lipid complexes increases with decreasing pH of the medium and on addition of negatively charged components into the lipid mixture. The protein-induced aggregation of the phospholipid vesicles is suggested to be mainly determined by electrostatic forces. The antiproteinase activity of BPTI in the complexes was rather low but increased up to 70% of the initial activity on addition of an ionic detergent (sodium deoxycholate).