Systems for the detection and analysis of protein–protein interactions

The analysis of protein–protein interactions is important for developing a better understanding of the functional annotations of proteins that are involved in various biochemical reactions in vivo. The discovery that a protein with an unknown function binds to a protein with a known function could provide a significant clue to the cellular pathway concerning the unknown protein. Therefore, information on protein–protein interactions obtained by the comprehensive analysis of all gene products is available for the construction of interactive networks consisting of individual protein–protein interactions, which, in turn, permit elaborate biological phenomena to be understood. Systems for detecting protein–protein interactions in vitro and in vivo have been developed, and have been modified to compensate for limitations. Using these novel approaches, comprehensive and reliable information on protein–protein interactions can be determined. Systems that permit this to be achieved are described in this review.K. Kuroda, M. Kato and J. Mima contributed equally to this work.     

Construction and analysis of the protein–protein interaction network for the olfactory system of the silkworm Bombyx mori

Olfaction plays an essential role in feeding and information exchange in insects. Previous studies on the olfaction of silkworms have provided a wealth of information about genes and proteins, yet, most studies have only focused on a single gene or protein related to the insect's olfaction. The aim of the current study is to determine key proteins in the olfactory system of the silkworm, and further understand protein–protein interactions (PPIs) in the olfactory system of Lepidoptera. To achieve this goal, we integrated Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and network analyses. Furthermore, we selected 585 olfactory-related proteins and constructed a (PPI) network for the olfactory system of the silkworm. Network analysis led to the identification of several key proteins, including GSTz1, LOC733095, BGIBMGA002169-TA, BGIBMGA010939-TA, GSTs2, GSTd2, Or-2, and BGIBMGA013255-TA. A comprehensive evaluation of the proteins showed that glutathione S-transferases (GSTs) had the highest ranking. GSTs also had the highest enrichment levels in GO and KEGG. In conclusion, our analysis showed that key nodes in the biological network had a significant impact on the network, and the key proteins identified via network analysis could serve as new research targets to determine their functions in olfaction.     

Structural and mechanistic commonalities of amyloid-β and the prion protein

Amyloid beta (Aβ) is a major causative agent of Alzheimer disease (AD). This neurotoxic peptide is generated as a result of the cleavage of the Amyloid-Precursor-Protein (APP) by the action of β-secretase and γ-secretase. The neurotoxicity was previously thought to be the result of aggregation. However, recent studies suggest that the interaction of Aβ with numerous cell surface receptors such as N-methyl-D-aspartate (NMDA), receptor for advanced glycosylation end products (RAGE), P75 neurotrophin receptor (P75^NTR) as well as cell surface proteins such as the cellular prion protein (PrP^c) and heparan sulfate proteoglycans (HSPG) strongly enhances Aβ induced apoptosis and thereby contributes to neurotoxicity. This review focuses on the molecular mechanism resulting in Aβ-shedding as well as Aβ-induced apoptotic processes, genetic risk factors for familial AD and interactions of Aβ with cell surface receptors and proteins, with particular emphasis on the cellular prion protein. Furthermore, comparisons are drawn between AD and prion disorders and the role of laminin, an extracellular matrix protein, glycosaminoglycans and the 37 kDa/67 kDa laminin receptor (LRP/LR) have been highlighted with regards to both neurodegenerative diseases.Key words: Alzheimer disease, amyloid β, apoptosis, 37 kDa/67 kDa laminin receptor, prion proteinsAlzheimer disease (AD), primarily defined by psychiatrist Alois Alzheimer in 1906, is a neurodegenerative disorder and currently exhibits a prevalence that “doubles approximately every five years from 0.5% at the common age of onset-65 years old.”¹ This disease is the most common form of dementia afflicting the elderly and at present affects in excess of 37 million people globally² and it is predicted that 100 million people will be living with the disease by 2050.³AD has received mounting scientific interest and has stimulated tireless research endeavours not only due to the complex mechanism by which it is caused; the multitude of contributing factors and contradictions which have arisen between hypotheses and acquired results, but also due to the rise in life expectancies⁴ owing to the advent of modern medicine, which has socio-economic implications particularly in terms of strain placed upon national health systems.     

Both the N-terminal fragment and the protein–protein interaction domain (PDZ domain) are required for the pro-apoptotic activity of presenilin-associated protein PSAP

Presenilin-associated protein (PSAP) was originally identified as a PS1-associated, PDZ domain protein. In a subsequent study, PSAP was found to be a mitochondrial apoptotic molecule. In this study, we cloned the PSAP gene and found that it is composed of 12 exons and localizes on chromosome 6. To better understand the structure and function of PSAP, we have generated a series of antibodies that recognize different regions of PSAP. Using these antibodies, we found that PSAP is expressed in four isoforms as a result of differential splicing of exon 8 in addition to the use of either the first or the second ATG codon as the start codon. We also found that all these isoforms are localized in the mitochondria and are pro-apoptotic. Furthermore, our data revealed that the PDZ domain and N-terminal fragment are required for the pro-apoptotic activity of PSAP.     

On the functional and structural characterization of hubs in protein–protein interaction networks

A number of interesting issues have been addressed on biological networks about their global and local properties. The connection between the topological properties of proteins in Protein–Protein Interaction (PPI) networks and their biological relevance has been investigated focusing on hubs, i.e. proteins with a large number of interacting partners. We will survey the literature trying to answer the following questions: Do hub proteins have special biological properties? Do they tend to be more essential than non-hub proteins? Are they more evolutionarily conserved? Do they play a central role in modular organization of the protein interaction network? Are there structural properties that characterize hub proteins?     

Mapping the protein–protein and genetic interactions of cancer to guide precision medicine

Massive efforts to sequence cancer genomes have compiled an impressive catalogue of cancer mutations, revealing the recurrent exploitation of a handful of ‘hallmark cancer pathways’. However, unraveling how sets of mutated proteins in these and other pathways hijack pro-proliferative signaling networks and dictate therapeutic responsiveness remains challenging. Here, we show that cancer driver protein–protein interactions are enriched for additional cancer drivers, highlighting the power of physical interaction maps to explain known, as well as uncover new, disease-promoting pathway interrelationships. We hypothesize that by systematically mapping the protein–protein and genetic interactions in cancer—thereby creating Cancer Cell Maps—we will create resources against which to contextualize a patient’s mutations into perturbed pathways/complexes and thereby specify a matching targeted therapeutic cocktail.     

IsoSVM – Distinguishing isoforms and paralogs on the protein level

Background  

Recent progress in cDNA and EST sequencing is yielding a deluge of sequence data. Like database search results and proteome databases, this data gives rise to inferred protein sequences without ready access to the underlying genomic data. Analysis of this information (e.g. for EST clustering or phylogenetic reconstruction from proteome data) is hampered because it is not known if two protein sequences are isoforms (splice variants) or not (i.e. paralogs/orthologs). However, even without knowing the intron/exon structure, visual analysis of the pattern of similarity across the alignment of the two protein sequences is usually helpful since paralogs and orthologs feature substitutions with respect to each other, as opposed to isoforms, which do not.     

Purification and characterization of the human γ-secretase activating protein

Alzheimer's disease is a fatal neurological disorder that is a leading cause of death, with its prevalence increasing as the average life expectancy increases worldwide. There is an urgent need to develop new therapeutics for this disease. A newly described protein, the γ-secretase activating protein (GSAP), has been proposed to promote elevated levels of amyloid-β production, an activity that seems to be inhibited using the well-establish cancer drug, imatinib (Gleevec). Despite much interest in this protein, there has been little biochemical characterization of GSAP. Here we report protocols for the recombinant bacterial expression and purification of this potentially important protein. GSAP is expressed in inclusion bodies, which can be solubilized using harsh detergents or urea; however, traditional methods of refolding were not successful in generating soluble forms of the protein that contained well-ordered and homogeneous tertiary structure. However, GSAP could be solubilized in detergent micelle solutions, where it was seen to be largely α-helical but to adopt only heterogeneous tertiary structure. Under these same conditions, GSAP did not associate with either imatinib or the 99-residue transmembrane C-terminal domain of the amyloid precursor protein. These results highlight the challenges that will be faced in attempts to manipulate and characterize this protein.     

Probing the amino acids critical for protein oligomerisation and protein–nucleotide interaction in Mycobacterium tuberculosis PII protein through integration of computational and experimental approaches

We investigated the interacting amino acids critical for the stability and ATP binding of Mycobacterium tuberculosis PII protein through a series of site specific mutagenesis experiments. We assessed the effect of mutants using glutaraldehyde crosslinking and size exclusion chromatography and isothermal titration calorimetry. Mutations in the amino acid pair R60–E62 affecting central electrostatic interaction resulted in insoluble proteins. Multiple sequence alignment of PII orthologs displayed a conserved pattern of charged residues at these positions. Mutation of amino acid D97 to a neutral residue was tolerated whereas positive charge was not acceptable. Mutation of R107 alone had no effect on trimer formation. However, the combination of neutral residues both at positions 97 and 107 was not acceptable even with the pair at 60–62 intact. Reversal of charge polarity could partially restore the interaction. The residues including K90, R101 and R103 with potential to form H-bonds to ATP are conserved throughout across numerous orthologs of PII but when mutated to Alanine, they did not show significant differences in the total free energy change of the interaction as examined through isothermal titration calorimetry. The ATP binding pattern showed anti-cooperativity using three-site binding model. We observed compensatory effect in enthalpy and entropy changes and these may represent structural adjustments to accommodate ATP in the cavity even in absence of some interactions to perform the requisite function. In this respect these small differences between the PII orthologs may have evolved to suite species specific physiological niches.     

Heterodimerization of the Entamoeba histolytica EhCPADH virulence complex through molecular dynamics and protein–protein docking

EhCPADH is a protein complex involved in the virulence of Entamoeba histolytica, the protozoan responsible for human amebiasis. It is formed by the EhCP112 cysteine protease and the EhADH adhesin. To explore the molecular basis of the complex formation, three-dimensional models were built for both proteins and molecular dynamics simulations (MDS) and docking calculations were performed. Results predicted that the pEhCP112 proenzyme and the mEhCP112 mature enzyme were globular and peripheral membrane proteins. Interestingly, in pEhCP112, the propeptide appeared hiding the catalytic site (C167, H329, N348); while in mEhCP112, this site was exposed and its residues were found structurally closer than in pEhCP112. EhADH emerged as an extended peripheral membrane protein with high fluctuation in Bro1 and V shape domains. 500 ns-long MDS and protein–protein docking predictions evidenced different heterodimeric complexes with the lowest free energy. pEhCP112 interacted with EhADH by the propeptide and C-terminal regions and mEhCP112 by the C-terminal through hydrogen bonds. In contrast, EhADH bound to mEhCP112 by 442–479 residues, adjacent to the target cell-adherence region (480–600 residues), and by the Bro1 domain (9–349 residues). Calculations of the effective binding free energy and per residue free energy decomposition showed that EhADH binds to mEhCP112 with a higher binding energy than to pEhCP112, mainly through van der Waals interactions and the nonpolar part of solvation energy. The EhADH and EhCP112 structural relationship was validated in trophozoites by immunofluorescence, TEM, and immunoprecipitation assays. Experimental findings fair agreed with in silico results.     

Linkage between vitamin D-binding protein and α-fetoprotein in the mouse

The albumin gene family consists of four evolutionarily related genes that code for serum transport proteins. In rodents, the genes for albumin, |ga-fetoprotein, and |gaALB are physically linked within 100 kilobases of DNA. The fourth gene, Gc, encoding vitamin D-binding protein or group-specific component, maps to the same chromosome as the other family members, but linkage has not been established. This report describes the genetic and physical mapping of Gc in mouse and establishes that, although Gc is genetically linked to the other genes, its physical distance from them extends beyond the resolution range of yeast artificial chromosome cloning and pulsed-field gel electrophoresis. Received: 18 July 1995 / Accepted: 9 September 1995     

Paraoxonase 1 and atherosclerosis: is the gene or the protein more important?

The oxidation of low-density lipoprotein (LDL) is centrally involved in the initiation and progression of atherosclerosis. High-density lipoprotein (HDL) paraoxonase 1 (PON1) retards the oxidation of LDL and is a major antiatherosclerotic component of HDL. The PON1 gene contains a number of functional polymorphisms in both the coding and the promoter regions, which affect either the level or the substrate specificity of PON1. Genetic case-control and prospective studies conducted to date have produced confusing results. Meta-analysis of these studies indicates no simple relationship between the PON1 polymorphisms and the presence of coronary heart disease (CHD). However, at the present moment in time, it seems that PON1 status, i.e., activity and/or concentration, is more closely related to CHD, and indeed, PON1 has shown to be an independent risk factor for CHD in a prospective study, compared to the genetic polymorphisms. PON1 levels can also be modulated by environmental\lifestyle and possibly pharmaceutical factors. Larger, better designed, preferably prospective studies are needed to determine further the association of PON1 genetic polymorphisms and status with CHD.     

Computational design and experimental testing of the fastest-folding β-sheet protein

One of the most important and elusive goals of molecular biology is the formulation of a detailed, atomic-level understanding of the process of protein folding. Fast-folding proteins with low free-energy barriers have proved to be particularly productive objects of investigation in this context, but the design of fast-folding proteins was previously driven largely by experiment. Dramatic advances in the attainable length of molecular dynamics simulations have allowed us to characterize in atomic-level detail the folding mechanism of the fast-folding all-β WW domain FiP35. In the work reported here, we applied the biophysical insights gained from these studies to computationally design an even faster-folding variant of FiP35 containing only naturally occurring amino acids. The increased stability and high folding rate predicted by our simulations were subsequently validated by temperature-jump experiments. The experimentally measured folding time was 4.3 μs at 80 °C—about three times faster than the fastest previously known protein with β-sheet content and in good agreement with our prediction. These results provide a compelling demonstration of the potential utility of very long molecular dynamics simulations in redesigning proteins well beyond their evolved stability and folding speed.     

Specificity of protein — Nucleic acid interaction and the biochemical evolution

The water soluble carbodiimide mediated condensation of dipeptides of the general form Gly-X was carried out in the presence of mono- and poly-nucleotides. The observed yield of the tetrapeptide was found to be higher for peptide-nucleotide system of higher interaction specificity following mainly the anticodon-amino acid relationship (Basu, H.S. & Podder, S.K., 1981, Ind. J. Biochem. Biophys.,19, 251–253). The yield of the condensation product of L-peptide was more because of its higher interaction specificity. The extent of the racemization during the condensation of Gly-L-Phe, Gly-L-Tyr and Gly-D-Phe was found to be dependent on the specificity of the interaction —the higher the specificity, the lesser the racemization. The product formed was shown to have a catalytic effect on the condensation reaction. These data thus provide a mechanism showing how the specific interaction between amino acids/dipeptides and nucleic acids could lead to the formation of the primitive translation machinery.     

Conformational flexibility and binding interactions of the G protein βγ heterodimer

Previous NMR experiments on unbound G protein βγ heterodimer suggested that particular residues in the binding interface are mobile on the nanosecond timescale. In this work we performed nanosecond‐timescale molecular dynamics simulations to investigate conformational changes and dynamics of Gβγ in the presence of several binding partners: a high‐affinity peptide (SIGK), phosducin, and the GDP‐bound α subunit. In these simulations, the high mobility of GβW99 was reduced by SIGK, and it appeared that a tyrosine might stabilize GβW99 by hydrophobic or aromatic stacking interactions in addition to hydrogen bonds. Simulations of the phosducin‐Gβγ complex showed that the mobility of GβW99 was restricted, consistent with inferences from NMR. However, large‐scale conformational changes of Gβγ due to binding, which were hypothesized in the NMR study, were not observed in the simulations, most likely due to their short (nanosecond) duration. A pocket consisting of hydrophobic amino acids on Gα appears to restrict GβW99 mobility in the crystal structure of the Gαβγ? heterotrimer. The simulation trajectories are consistent with this idea. However, local conformational changes of residues GβW63, GβW211, GβW297, GβW332, and GβW339 were detected during the MD simulations. As expected, the magnitude of atomic fluctuations observed in simulations was greater for α than for the βγ subunits, suggesting that α has greater flexibility. These observations support the notion that to maintain the high mobility of GβW99 observed by solution NMR requires that the Gβ–α interface must open up on time scale longer than can be observed in nanosecond scale simulations. Proteins 2011. © 2010 Wiley‐Liss, Inc.     

How is the balance between protein synthesis and degradation achieved?

Unlike most substances that cells manufacture, proteins are not produced and broken down by a common series of chemical reactions, but by completely different (independent and disconnected) mechanisms that possess no intrinsic means of making the rates of the two processes equal and attaining steady state concentrations. Balance between them is achieved extrinsically and is often imagined today to be the result of the actions of chemical feedback agents. But however instantiated, chemical feedback or any similar mechanism can only rectify induced imbalances in a system previously balanced by other means. Those "other means" necessarily involve reversible mass action or equilibrium-based interactions between native and altered forms of protein molecules somewhere in time and space between their synthesis and degradation.